# Exploration of Regional Public Digital Culture Service Mode Based on Artificial Intelligence Technology

Authors: Qixing Yin; Yifei Dong
Journal: Wireless Communications and Mobile Computing
 (2022)

---

## Abstract

In order to improve the development of China’s public cultural service supply field, this paper introduces the public culture of weather services with the support of network intelligence services and smart devices. This article examines the purpose of public cultural cloud services to identify current public service public culture and future development models; The results show that the average consistency indexes determined by the weight of evaluation indexes based on AHP are 0, 0, 0.514, 0.894, 1.118, 1.248, 1.344, 1.421, and 1.461, respectively. Their importance order is judged according to the degree of relative importance. According to the hierarchy and diversity of users’ needs, a “multiple” development model of public digital culture cloud service is constructed. This data provides a measure of resistance to innovations in public cloud culture, data advocacy to support public climate change in four areas: the reform of service strategies, the integration of public culture, the development of specialized resources, and the development of service teams and customer capabilities.


---

## Body

## 1. Introduction

In recent years, China’s public service culture has been constantly improving, and the overall level of China’s public service culture has been increasing, including government policies and the involvement of relations. At the same time, the development of information technology and the use of technology have provided strong support to improve public service ethics. The concept of developing a smart city based on intelligent technology is the goal of research in China’s public service culture. The emergence of the concept of smart city has a direct impact on the provision of public service culture in China in terms of technology, citizenship, organization, and governance. At the same time, it promotes innovation and improvement of public digital culture standards. The rapid development of science, technology, and information technology not only promotes the improvement of all segments of the human race but also promotes the rapid development of public service culture. Over the past two years, China has increased its resources in public service culture. Digital cultural services, an important type of public cultural services, also face many challenges in the current development environment, such as the distribution of relative digital resources and without the involvement of civil society organizations. These issues have a significant impact on the quality of public digital culture services, resulting in poor resource utilization and poor public services. The emergence of information technology based on cloud computing and the mass media network provides further support for improving the consensus of allocating funds to public cultures [1]. Based on this, we hope to support key technologies as network services, starting with the concept, features, and needs of digital cloud services to the public, and promote the improvement of the health of public culture with artificial intelligence technology.


## 2. Literature Review

Tang and others believe that big data has an impact on library information consulting services, mainly in data storage, data processing, information security, big data concept, and talent [2]; Li and others believe that information retrieval efficiency is the key to the effect of information service. Only by providing a certain retrieval efficiency can the library meet the needs of users. However, the real collection and virtual collection together constitute the scale of big data, and meeting the needs of users is an arduous task [3]. Based on the analysis of the characteristics of information in the era of big data and the changes in readers’ needs, Liu and others believe that the traditional service mode of the library has been impacted and put forward suggestions on building a cloud service platform, building a mobile library, using new technologies to carry out information services, and analyzing library services with big data to create a new mode of library information services [4]; Ding and others believe that big data has prompted readers to have personalized needs [5].Yuan and others studied and constructed the intelligent service mode of regional sharing platform by analyzing the intelligent service cycle mechanism, intelligent service system module composition, and intelligent service type of sharing platform, including system intelligent service and expert team support service [6]. By analyzing the development law of regional science and technology resource sharing platform, Leguina and others revealed the innovation mechanism of service mode of regional science and technology resource sharing platform. On this basis, they designed the resource leading mode of regional sharing platform, the demand traction mode of regional sharing platform, and the intelligent service mode of regional sharing platform [7]; Cui and others took the construction of science and technology literature and information resources in Western Hunan as the starting point, found out the restrictive factors of coconstruction and sharing of science and technology literature and information resources in Western Hunan through investigation, and constructed the information service mode of coconstruction and sharing of science and technology literature and information resources in Western Hunan [8]. By analyzing the innovation activities of strategic emerging industry clusters in different innovation stages, Remencová and others constructed the standardization and integration mode of regional sharing platform o2o service. Based on the analysis of the factors restricting resource sharing, such as the blocked channels of scientific and technological resource sharing and the vacancy of macro harmonious management, this paper puts forward the service mode of “principal-agent,” which solves the problem of closure and blockade of scientific and technological resource sharing [9].In terms of the research on the public cultural service system, Wu and others summarized the evolution process of the development of Chinese public culture, analyzed in detail the changes of the organizational system of public cultural institutions, and believed that the organizational system of Chinese public cultural services is gradually evolving into the mode of coordinated development of the government, public cultural institutions, and the third party [10]; Qu and others studied the important role of free opening in the development of national public cultural services and believed that free opening will be the main direction of the development of public cultural services [11]; Chen and others selected several western countries with characteristics to analyze the evolution process of these countries in terms of service system, the service responsibilities of governments and cultural institutions, and the guarantee mechanism implemented by these countries in promoting the development of public cultural services [12].Liu and others’ representative views on the integration of public digital cultural resources mainly include pointing out that public cultural institutions should carry out service activities according to the needs of users, provide users with a resource environment covering various knowledge fields, and effectively attract new users through joint construction and sharing among institutions [13]; Wang proposed that search engines should arrange and combine public digital cultural resources according to users’ retrieval information to provide resources and services that best meet users’ needs [14]. Santiago pointed out in cloud storage research that cloud storage has surpassed physical media to become a dominant means of communication and a way to share digital content, and its advantages in music, documents, photos, and videos are more obvious [15].According to the present research, this paper describes the meaning and status of public cloud culture. This paper examines the motivation for innovation in public digital cloud services from four perspectives: political, business, social, scientific, and technological, and examines the demand for public digital weather services. Based on the definitions of cloud service and cloud manufacturing service, combined with the characteristics of public digital culture service, this paper interprets the new connotation and characteristics of public digital culture cloud service and studies the architecture of public digital culture cloud service innovation. This paper studies the constituent elements of public digital culture cloud service system from five aspects: service participants, service concept, service resources and service content, service mode, service support technology, and means, constructs the structure of public digital culture cloud service system, and analyzes the system structure and function. From the perspective of optimal allocation of public digital culture cloud resources, this paper analyzes the innovation process of public digital culture cloud services in four aspects: cloud resource standardization, cloud resource integration, cloud resource combination optimization, and cloud service innovation, and constructs a “multiple” development model of public digital culture cloud services. Based on the collection of typical cases of public digital culture service model, this paper summarizes the characteristics of the existing service model.


## 3. Artificial Intelligence Semantic Network Service and Intelligent Key Technology

### 3.1. Introduction to Web Services

Openness is one of the development trends of network services. Only through open interfaces can different types of services interoperate or access each other. Therefore, the semantic web service in this paper adopts service-oriented architecture mode, and web service technology is the main implementation technology of service-oriented architecture mode. The semantic web service in this paper exists in the form of web service. The difference between semantic web service and traditional web service is that semantic web service is a web service represented by ontology. Web service is the basic unit of semantic web service. This paper adopts the service architecture mode shown in Figure1 [16, 17].Figure 1
Schematic diagram of service-oriented architecture.The service provider provides three kinds of functions: service request, service provider registration, and service provider management. The service requester goes to the service registration management center to find the corresponding service according to the service request description information, and then, the service description information obtained through service discovery is bound to the specific service provider. The service requester will be responsible for the integration of various services.


### 3.2. Semantic Web Services and OWL-S Language

#### 3.2.1. Semantic Web Services

The proposal of the concept makes a new research trend in the field of web services. The service integrating semantic technology, namely, semantic web service, is different from traditional web service. Semantic web service is a web service that exists completely in the form of ontology. It is an ontology about services. It has clear semantics that can be understood by machines. It allows users or software agents to automatically locate, select, use, combine, and monitor web-based services and can use software agents for analysis and identification. It will promote the interoperability of network services to the direction of intelligence, so as to provide a technical guarantee for the seamless integration of self-organizing and intelligent services. Semantic web services are the future development trend of web services, as shown in Figure2.Figure 2
Development trend of traditional WWW and web services.At the same time, this paper also compares the differences between web services and semantic web services, as shown in Table1.Table 1
Differences between web services and semantic web services.
Comparison itemWebSemantic web servicesServiceOrdinaryComplexService descriptionBased on vocabularyBased on ontologyData exchangeBased on grammarBased on semantics


#### 3.2.2. Semantic Web Service Description Language OWL-S

In order to meet the above tasks, OWL-S gives a set of ontologies to describe semantic web services, through which semantic web services can be understood by machines. OWL-S consists of three parts, as shown in Figure3.Figure 3
OWL-S top-level service ontology structure.The properties of Prifile can be divided into two categories: functional properties and nonfunctional properties. The functional attributes of a service include the input and output of the service, the preconditions for service execution, and the expected effect of service execution. Nonfunctional attributes are a set of attributes used to describe the characteristics of the service, including the type of service, the provider information of the service, and the service quality. A list of service parameters with unlimited length. It can contain any type of information, which may include the maximum response time of the service and the location and availability of the service.


### 3.3. Definition of Semantic Web Services

Firstly, we give the mathematical model of network service. The process of associating semantic web services with OWL-S is to establish the relationship between semantic web services [18].


#### 3.3.1. Define Service Model NS

The network service model NS is an abstraction of various network services, which can be expressed as(1)NS=NF,PuF,PrF,where(2)NF=NFI,NFO,NFP,NFE.The above formula is a collection, indicating that the functions of network services belong to win. Functional attributes refer to the attributes closely related to the realization of network service functions. The most commonly used are the input and output of services and the execution results of preconditions [19, 20].
(3)PuF=NSC,NSN,NSP.The common characteristics of some public services on the network [21]
(4)PrF=SY,SCh,SNW,SQoS.The above formula is a set, which represents the private characteristics of network services. Private characteristics refer to the characteristics closely related to the network, such as service terminal, network system, and billing mode [22].


#### 3.3.2. A Mathematical Model Describing the Specification OWL-S

The service class in OWL-S is used to represent a service. Specifically, a complete service is described from three perspectives through service profile class, service model class, and service grounding class. However, in practical application, OWL-S can be expressed as(5)OWLS=Profile,Process,Grounding.The semantics of web services is to use ontology-based semantic description specification OWL-S to represent existing web services and introduce semantic information into web services [23]. From the perspective of set mapping, semantic representation is to establish a mapping H between sets NS and OWL-S:
(6)H=hxh⟶y,∀x∈NS,∃y∈OWLS.H makes any element x in the set NS correspond to at least one element y in the set OWL-S, so as to accurately describe the network service [24].The mapping between combined NS and OWL-S is as follows:(7)H1=h1NFh1⟶FA,NF⊂NS,FA⊂Profile.The functional attributes of the network service can be described by the functional attributes of the profile class of OWL-S. There are the following mappings:(8)H2=h2NFh2⟶Process,NF⊂NS,Process⊂OWLS.That is, the public characteristics of network services can be described by the nonfunctional attributes of profile class.This paper extends OWL-S by adding new attributes to the profile class. The mathematical model of the new profile is(9)NP=FA,NFA,where(10)NFA=SC,SN,SP,PrD,(11)PrD=STD,SChD,SNWD,SQoSD.It can be seen from formulas (10) and (11) that by adding private feature description PrD in the nonfunctional attribute NFA of OWL-S, that is, terminal, network billing, network information, QoS, and other information, the existing OWL-S can support the features in network services, so as to achieve the purpose of accurately describing network services. In practical application, the private characteristics of network services can continue to increase according to specific conditions.


### 3.4. Heuristic Semantic Web Services Based on Iteration

In this paper, the service type attribute SCS is separated from the nonfunctional attribute because the service type has a great impact on service discovery. If the service type matching degree is low, it is unlikely to eventually become a service that meets the requirements. This leads to(12)MS=SCS1⋯SCSnFAS1⋯FASnNFAS1⋯NFASn.Also, due to(13)MS=SCSFASNFAS=SCS1⋯SCSnFAS1⋯FASnNFAS1⋯NFASn,where(14)SCS=SCS1,SCS2,⋯,SCSn,FAS=FAS1,FAS2,⋯,FASn,NFAS=NFAS1,NFAS2,⋯,NFASn.It can be seen from the above that the matching space MS can be divided into three subspaces: service type subspace (SCS), functional attribute subspace (FAS), and nonfunctional attribute subspace (NFAS). The discovery algorithm proposed in this paper is based on these three subspaces; that is, the discovery problem in the whole matching space is decomposed into the discovery problem in three subspaces. In addition, when calculating the value of the heuristic function, we need to consider not only the similar value for the current sub-subspace but also the similar value for the previous sub-subspace. This is because if the similar value of the subsite is too small, the similar value for the next subsite will be lower; for example, in the service contract, we only consider the approximate value of the current sub-subspace, the effect of the degree of adjustment of the previous subspace on the degree of adjustment of the current subspace.Therefore, the expression of the heuristic function based on iteration is as follows:(15)fASit=sgn∏k=1nmatchkRS,ASi−t+12,where(16)n=0,1,2.The above formula represents three subspaces, respectively.matchkRS,ASi is defined as the matching degree of requesting service and publishing service. The interval t,1 is called the matching interval, and t is the lower bound of the interval t,1. Heuristic function is the focus of this chapter. Through heuristic function, the services that do not meet the requirements cannot enter the next matching space, reduce the number of services participating in matching, and improve the efficiency of service discovery.


## 3.1. Introduction to Web Services

Openness is one of the development trends of network services. Only through open interfaces can different types of services interoperate or access each other. Therefore, the semantic web service in this paper adopts service-oriented architecture mode, and web service technology is the main implementation technology of service-oriented architecture mode. The semantic web service in this paper exists in the form of web service. The difference between semantic web service and traditional web service is that semantic web service is a web service represented by ontology. Web service is the basic unit of semantic web service. This paper adopts the service architecture mode shown in Figure1 [16, 17].Figure 1
Schematic diagram of service-oriented architecture.The service provider provides three kinds of functions: service request, service provider registration, and service provider management. The service requester goes to the service registration management center to find the corresponding service according to the service request description information, and then, the service description information obtained through service discovery is bound to the specific service provider. The service requester will be responsible for the integration of various services.


## 3.2. Semantic Web Services and OWL-S Language

### 3.2.1. Semantic Web Services

The proposal of the concept makes a new research trend in the field of web services. The service integrating semantic technology, namely, semantic web service, is different from traditional web service. Semantic web service is a web service that exists completely in the form of ontology. It is an ontology about services. It has clear semantics that can be understood by machines. It allows users or software agents to automatically locate, select, use, combine, and monitor web-based services and can use software agents for analysis and identification. It will promote the interoperability of network services to the direction of intelligence, so as to provide a technical guarantee for the seamless integration of self-organizing and intelligent services. Semantic web services are the future development trend of web services, as shown in Figure2.Figure 2
Development trend of traditional WWW and web services.At the same time, this paper also compares the differences between web services and semantic web services, as shown in Table1.Table 1
Differences between web services and semantic web services.
Comparison itemWebSemantic web servicesServiceOrdinaryComplexService descriptionBased on vocabularyBased on ontologyData exchangeBased on grammarBased on semantics


### 3.2.2. Semantic Web Service Description Language OWL-S

In order to meet the above tasks, OWL-S gives a set of ontologies to describe semantic web services, through which semantic web services can be understood by machines. OWL-S consists of three parts, as shown in Figure3.Figure 3
OWL-S top-level service ontology structure.The properties of Prifile can be divided into two categories: functional properties and nonfunctional properties. The functional attributes of a service include the input and output of the service, the preconditions for service execution, and the expected effect of service execution. Nonfunctional attributes are a set of attributes used to describe the characteristics of the service, including the type of service, the provider information of the service, and the service quality. A list of service parameters with unlimited length. It can contain any type of information, which may include the maximum response time of the service and the location and availability of the service.


## 3.2.1. Semantic Web Services

The proposal of the concept makes a new research trend in the field of web services. The service integrating semantic technology, namely, semantic web service, is different from traditional web service. Semantic web service is a web service that exists completely in the form of ontology. It is an ontology about services. It has clear semantics that can be understood by machines. It allows users or software agents to automatically locate, select, use, combine, and monitor web-based services and can use software agents for analysis and identification. It will promote the interoperability of network services to the direction of intelligence, so as to provide a technical guarantee for the seamless integration of self-organizing and intelligent services. Semantic web services are the future development trend of web services, as shown in Figure2.Figure 2
Development trend of traditional WWW and web services.At the same time, this paper also compares the differences between web services and semantic web services, as shown in Table1.Table 1
Differences between web services and semantic web services.
Comparison itemWebSemantic web servicesServiceOrdinaryComplexService descriptionBased on vocabularyBased on ontologyData exchangeBased on grammarBased on semantics


## 3.2.2. Semantic Web Service Description Language OWL-S

In order to meet the above tasks, OWL-S gives a set of ontologies to describe semantic web services, through which semantic web services can be understood by machines. OWL-S consists of three parts, as shown in Figure3.Figure 3
OWL-S top-level service ontology structure.The properties of Prifile can be divided into two categories: functional properties and nonfunctional properties. The functional attributes of a service include the input and output of the service, the preconditions for service execution, and the expected effect of service execution. Nonfunctional attributes are a set of attributes used to describe the characteristics of the service, including the type of service, the provider information of the service, and the service quality. A list of service parameters with unlimited length. It can contain any type of information, which may include the maximum response time of the service and the location and availability of the service.


## 3.3. Definition of Semantic Web Services

Firstly, we give the mathematical model of network service. The process of associating semantic web services with OWL-S is to establish the relationship between semantic web services [18].


### 3.3.1. Define Service Model NS

The network service model NS is an abstraction of various network services, which can be expressed as(1)NS=NF,PuF,PrF,where(2)NF=NFI,NFO,NFP,NFE.The above formula is a collection, indicating that the functions of network services belong to win. Functional attributes refer to the attributes closely related to the realization of network service functions. The most commonly used are the input and output of services and the execution results of preconditions [19, 20].
(3)PuF=NSC,NSN,NSP.The common characteristics of some public services on the network [21]
(4)PrF=SY,SCh,SNW,SQoS.The above formula is a set, which represents the private characteristics of network services. Private characteristics refer to the characteristics closely related to the network, such as service terminal, network system, and billing mode [22].


### 3.3.2. A Mathematical Model Describing the Specification OWL-S

The service class in OWL-S is used to represent a service. Specifically, a complete service is described from three perspectives through service profile class, service model class, and service grounding class. However, in practical application, OWL-S can be expressed as(5)OWLS=Profile,Process,Grounding.The semantics of web services is to use ontology-based semantic description specification OWL-S to represent existing web services and introduce semantic information into web services [23]. From the perspective of set mapping, semantic representation is to establish a mapping H between sets NS and OWL-S:
(6)H=hxh⟶y,∀x∈NS,∃y∈OWLS.H makes any element x in the set NS correspond to at least one element y in the set OWL-S, so as to accurately describe the network service [24].The mapping between combined NS and OWL-S is as follows:(7)H1=h1NFh1⟶FA,NF⊂NS,FA⊂Profile.The functional attributes of the network service can be described by the functional attributes of the profile class of OWL-S. There are the following mappings:(8)H2=h2NFh2⟶Process,NF⊂NS,Process⊂OWLS.That is, the public characteristics of network services can be described by the nonfunctional attributes of profile class.This paper extends OWL-S by adding new attributes to the profile class. The mathematical model of the new profile is(9)NP=FA,NFA,where(10)NFA=SC,SN,SP,PrD,(11)PrD=STD,SChD,SNWD,SQoSD.It can be seen from formulas (10) and (11) that by adding private feature description PrD in the nonfunctional attribute NFA of OWL-S, that is, terminal, network billing, network information, QoS, and other information, the existing OWL-S can support the features in network services, so as to achieve the purpose of accurately describing network services. In practical application, the private characteristics of network services can continue to increase according to specific conditions.


## 3.3.1. Define Service Model NS

The network service model NS is an abstraction of various network services, which can be expressed as(1)NS=NF,PuF,PrF,where(2)NF=NFI,NFO,NFP,NFE.The above formula is a collection, indicating that the functions of network services belong to win. Functional attributes refer to the attributes closely related to the realization of network service functions. The most commonly used are the input and output of services and the execution results of preconditions [19, 20].
(3)PuF=NSC,NSN,NSP.The common characteristics of some public services on the network [21]
(4)PrF=SY,SCh,SNW,SQoS.The above formula is a set, which represents the private characteristics of network services. Private characteristics refer to the characteristics closely related to the network, such as service terminal, network system, and billing mode [22].


## 3.3.2. A Mathematical Model Describing the Specification OWL-S

The service class in OWL-S is used to represent a service. Specifically, a complete service is described from three perspectives through service profile class, service model class, and service grounding class. However, in practical application, OWL-S can be expressed as(5)OWLS=Profile,Process,Grounding.The semantics of web services is to use ontology-based semantic description specification OWL-S to represent existing web services and introduce semantic information into web services [23]. From the perspective of set mapping, semantic representation is to establish a mapping H between sets NS and OWL-S:
(6)H=hxh⟶y,∀x∈NS,∃y∈OWLS.H makes any element x in the set NS correspond to at least one element y in the set OWL-S, so as to accurately describe the network service [24].The mapping between combined NS and OWL-S is as follows:(7)H1=h1NFh1⟶FA,NF⊂NS,FA⊂Profile.The functional attributes of the network service can be described by the functional attributes of the profile class of OWL-S. There are the following mappings:(8)H2=h2NFh2⟶Process,NF⊂NS,Process⊂OWLS.That is, the public characteristics of network services can be described by the nonfunctional attributes of profile class.This paper extends OWL-S by adding new attributes to the profile class. The mathematical model of the new profile is(9)NP=FA,NFA,where(10)NFA=SC,SN,SP,PrD,(11)PrD=STD,SChD,SNWD,SQoSD.It can be seen from formulas (10) and (11) that by adding private feature description PrD in the nonfunctional attribute NFA of OWL-S, that is, terminal, network billing, network information, QoS, and other information, the existing OWL-S can support the features in network services, so as to achieve the purpose of accurately describing network services. In practical application, the private characteristics of network services can continue to increase according to specific conditions.


## 3.4. Heuristic Semantic Web Services Based on Iteration

In this paper, the service type attribute SCS is separated from the nonfunctional attribute because the service type has a great impact on service discovery. If the service type matching degree is low, it is unlikely to eventually become a service that meets the requirements. This leads to(12)MS=SCS1⋯SCSnFAS1⋯FASnNFAS1⋯NFASn.Also, due to(13)MS=SCSFASNFAS=SCS1⋯SCSnFAS1⋯FASnNFAS1⋯NFASn,where(14)SCS=SCS1,SCS2,⋯,SCSn,FAS=FAS1,FAS2,⋯,FASn,NFAS=NFAS1,NFAS2,⋯,NFASn.It can be seen from the above that the matching space MS can be divided into three subspaces: service type subspace (SCS), functional attribute subspace (FAS), and nonfunctional attribute subspace (NFAS). The discovery algorithm proposed in this paper is based on these three subspaces; that is, the discovery problem in the whole matching space is decomposed into the discovery problem in three subspaces. In addition, when calculating the value of the heuristic function, we need to consider not only the similar value for the current sub-subspace but also the similar value for the previous sub-subspace. This is because if the similar value of the subsite is too small, the similar value for the next subsite will be lower; for example, in the service contract, we only consider the approximate value of the current sub-subspace, the effect of the degree of adjustment of the previous subspace on the degree of adjustment of the current subspace.Therefore, the expression of the heuristic function based on iteration is as follows:(15)fASit=sgn∏k=1nmatchkRS,ASi−t+12,where(16)n=0,1,2.The above formula represents three subspaces, respectively.matchkRS,ASi is defined as the matching degree of requesting service and publishing service. The interval t,1 is called the matching interval, and t is the lower bound of the interval t,1. Heuristic function is the focus of this chapter. Through heuristic function, the services that do not meet the requirements cannot enter the next matching space, reduce the number of services participating in matching, and improve the efficiency of service discovery.


## 4. Construction of Regional Public Digital Culture Service Model

### 4.1. Structure of Public Digital Culture Cloud Service System

#### 4.1.1. System Architecture

Through the analysis of the constituent elements of the public digital culture cloud service system, this paper designs a schematic structure of the public digital culture cloud service system, as shown in Figure4.Figure 4
Public digital culture cloud service system structure.The service subject of public digital culture cloud service system is composed of public cultural institutions such as libraries, archives, museums, and art galleries. The resources of public cultural institutions are encapsulated through cloud computing technology to form public digital culture cloud resources, realize the unified scheduling of resources and services, and provide resource basis for public cultural institutions to provide on-demand and agile intelligent services. Service means mainly include cloud service platform and various terminal devices.


#### 4.1.2. Basic Functions of the System

Public digital culture cloud service runs through the whole process of resource collection, resource management, and resource service. Combined with the basic functions of public digital culture service, the functions of public digital culture cloud service system mainly include three parts: cloud resource integration and sharing function, cloud service function, and cloud platform management function.


#### 4.1.3. Public Digital Culture Cloud Service Innovation Process

The innovation process of public digital culture cloud service can be seen as a process of driving resources according to user needs to form a shared service chain and realize the optimal allocation of cloud resources and service efficiency. The whole process of optimal allocation of resources or supply-demand matching needs to go through gradual stages such as virtualization, service, and combination optimization and finally realize innovative services. Among them, virtualization refers to the standardized modeling of decentralized and heterogeneous public digital culture cloud resources to form a cloud resource pool, so as to realize the effective aggregation and sharing of resources. Service-oriented refers to the construction of cloud resource service chain based on the aggregation of cloud resources, so as to realize the on-demand matching of cloud resource services. Portfolio optimization refers to using the service portfolio optimization algorithm to select the best cloud service according to the demand attributes of the cloud service demander, so as to improve the matching degree between user needs and public digital cultural resources.


#### 4.1.4. Virtual Modeling of Public Digital Culture Cloud Resources

The virtualization modeling of public digital culture cloud resources is the premise and foundation for the standardized description of public digital culture cloud resources and the subsequent sharing and service of cloud resources. Different public cultural institutions have great differences in service content, resource type, metadata format, etc., as shown in Table2.Table 2
Digital resources of major public cultural institutions.
Organization typeLibraryMuseumArchives centerArt galleryMechanism functionCollect, sort out, and collect books and periodicals for reading and referenceSolicit, collect, display, and study objects representing natural and human cultural heritageCollect and keep archives and be responsible for receiving, collecting, managing, and utilizing archivesPreserve and display works of artResource typeBooks, periodicals, pictures, web pages, videos, etc.Images, calligraphy and painting works, sculptures, videos, static 3D, live 3D, etc.Text, video, pictures, etc.Text, pictures, dynamic artistic activities, etc.Metadata formatMarc, XML, DC, RDF, etc.CDWA, DC, VRA, CIMI, RDA, etc.EAD, EAC, TEI, etc.NAMO CDOI, etc.On the one hand, it is necessary to effectively integrate the existing public digital cultural resources in the organization by using the existing technical means such as metadata warehousing to facilitate integration and sharing. On the other hand, under the cloud service mode, service providers (service subjects) are no longer limited to public cultural institutions, but also include some organizations and individuals. The public digital culture cloud resources owned by each service subject have typical characteristics such as distribution, heterogeneity, diversity, autonomy, and mass. Therefore, it is necessary to classify these cloud resources scientifically and reasonably and extract the attribute characteristics of various cloud resources in terms of function, value, and association, so as to build a general multidimensional information description model of cloud resources.


### 4.2. Regional Public Digital Culture Cloud Service Platform Model

#### 4.2.1. Determination of Evaluation Index Weight Based on AHP

The weight can reflect the relative importance of each evaluation index. There are many methods to determine the index weight of the operation effect of cloud service mode of regional sharing platform. This paper selects analytic hierarchy process to determine the index weight. Analytic hierarchy process transforms the weight judgment of multiple different factors into comparing different factors. This method uses the numbers 1-9 and their reciprocal as the evaluation scale to construct the judgment matrix of pairwise comparison. At the same time, different indexes are compared in pairs, and their importance order is judged according to the degree of relative importance, as shown in Table3; Table 4 is the average consistency index, and Figure 5 is the discount diagram of average consistency index.Table 3
Relative importance level.
Serial numberDegree of importance when comparing with each otheraij assignment1Elementi is as important as element j12Elementi is slightly more important than element j33Elementi is obviously more important than element j54Elementi is very important compared with element j75Elementi is extremely important compared with element j96In the middle of the above level2, 4, 6, 8Table 4
Average consistency index.
n123456789RI000.5140.8941.1181.2481.3441.4211.461Figure 5
Average consistency index.Pass the index consistency test; otherwise, it is necessary to redeploy the original judgment matrix and return to the first step.


#### 4.2.2. Construction of Comprehensive Evaluation Model

When we evaluate something, because its boundary is not very clear and has a certain fuzziness, it is difficult to give a clear judgment such as “yes” or “no.” However, the fuzzy comprehensive evaluation model based on fuzzy mathematics theory can make up for this disadvantage. Therefore, we can implement fuzzy comprehensive evaluation for more complex problems. The fuzzy comprehensive evaluation of the operation effect of the cloud service mode of the regional sharing platform is calculated according to the membership matrix and its weight of the evaluation index, but it is sufficient in the comprehensive evaluation degree and the use of the information of the index evaluation matrix. It is fully reflected in the weight, the degree of comprehensive evaluation, and the use of index evaluation matrix. Firstly, this paper analyzes the influencing factors of the operation effect of cloud service mode of regional sharing platform, including demand integration, resource integration, operation management, and service effect. Based on this, a design model of the cloud-based measurement system was provided, and a cloud-based measurement system was developed. Finally, the weight of the metric was determined by hierarchical analytical procedures, creating an unambiguous measure of the performance of the cloud computing service.


### 4.3. Construction of “Multiple” Mode of Public Digital Culture Cloud Service

#### 4.3.1. “Multilevel” User Needs of Public Digital Culture Cloud Services

Simple browsing type: the main purpose of this kind of users to obtain public digital cultural resources is to enrich their amateur cultural life. They have no strong desire to learn, but simply browse some learning and entertainment materials, such as public digital cultural news, opera resource library, and multimedia resources. They do not have high requirements for the professionalism of public digital cultural resources and mainly hold the mentality of easy entertainment. They have a wide range of interests and curiosity. They may be interested in any form of public digital cultural resources. Novel public digital cultural resources and diversified communication forms can attract their attention.Professional learning: this is the psychology of most users to use public digital cultural resources. Their purpose of using public digital cultural resources is directly related to their own learning and tasks. Such users pay more attention to the authenticity and originality of public digital cultural resources and have a clear positioning for their public digital cultural needs. They also need to obtain all public digital cultural resources in the target field to meet their learning needs and have an accurate grasp of the public digital cultural resources they want to retrieve with clear goals.Comprehensive knowledge type: with the development of network technology and the popularization of terminal equipment, users have more and more means to obtain public digital cultural resources. Users’ needs are comprehensive and systematic. They want to understand multichannel and multidirectional public digital cultural resources. Such users are often good at a certain field. They need more solutions to problems and require the retrieved public digital culture resources to be concise, complete, accurate, and comprehensive. Their expectations for public digital culture resources are often not limited to the resources themselves, but also include the interaction and communication between experts and peers, and expect the support and help of experts.


#### 4.3.2. “Multiple” Mode of Public Digital Culture Cloud Service Based on User Needs

Cloud service model for basic public digital culture needs: building an open and integrated cloud service model for basic public digital culture needs is a basic service model provided by public digital culture cloud services. The purpose of the service is to ensure the integrated sharing and barrier-free access of public digital culture resources. The service object is users who browse simple information on the Internet. Such users browse public digital cultural resources mainly to meet their basic needs without specific purposes, as shown in Figure6.Figure 6
Cloud service model for basic public digital culture needs.The cloud service model for professional public digital culture needs is mainly for users with specific public digital culture needs. This kind of users’ demand for resources has two characteristics: on the one hand, the scope of public digital culture resources required is narrow and targeted; on the other hand, due to the influence of cultural background and learning skills, the resources and services that such users want to obtain are deep and professional. The cloud service model for professional public digital culture needs is shown in Figure7.Figure 7
Cloud service model for professional public digital culture needs.The cloud service model for comprehensive public digital culture needs has two characteristics: on the one hand, the public digital culture resources users want to obtain are the optimal resources optimized by system combination, rather than the raw resources without processing; on the other hand, users not only hope to obtain the most professional public digital cultural resources but also the most comprehensive. It is a comprehensive public digital cultural resource obtained by combining multiple knowledge subjects. The cloud service model for the needs of comprehensive public digital culture is shown in Figure8.Figure 8
Cloud service model for comprehensive public digital culture needs.


#### 4.3.3. Summary of Three Service Modes of Public Digital Culture Cloud Service

The cloud service mode for basic public digital culture needs, the cloud service mode for professional public digital culture needs, and the cloud service mode for comprehensive public digital culture needs are three modes of public digital culture cloud services. The development of these three service modes is progressive at all levels. Public cultural institutions should provide public digital culture cloud services in combination with their own actual situation in the construction process. Among them, barrier-free access and sharing of public digital culture resources is the basis for the development of cloud services for basic public digital culture needs, and it is also the premise and guarantee for the realization of the other two cloud service modes. The continuous expansion and deepening of the cloud service model for the needs of professional public digital culture also constitute the cornerstone of the development of the cloud service model for the needs of comprehensive public digital culture. The following summarizes the above three service modes from the aspects of service objects, service objectives, service resources, service contents, and service methods, as shown in Table5.Table 5
Summary of digital cloud public service modes.
Service modeCloud service model for basic public digital culture needsCloud service model for professional public digital culture needsCloud service model for comprehensive public digital culture needsService objectSimple information browsing usersSpecific user groupsComprehensive knowledge userService objectivesMeet basic needsMeet the needs of learning and tasksGet diversified solutionsService resourcesNovel and peculiarPay attention to professionalism and have a deep range of resourcesIt emphasizes the collaborative interaction of resources and has a wide range of resourcesService contentBook resources, archives resources, art resources, and other public digital culture cloud resourcesUser characteristic information base, user demand base, and professional knowledge baseExpert consultation database, online communication database, user characteristic information database, user demand database, and various public digital culture cloud resourcesService modeRoutine service, simple requirementsProfessional service and strong pertinenceComprehensive service and complex process


## 4.1. Structure of Public Digital Culture Cloud Service System

### 4.1.1. System Architecture

Through the analysis of the constituent elements of the public digital culture cloud service system, this paper designs a schematic structure of the public digital culture cloud service system, as shown in Figure4.Figure 4
Public digital culture cloud service system structure.The service subject of public digital culture cloud service system is composed of public cultural institutions such as libraries, archives, museums, and art galleries. The resources of public cultural institutions are encapsulated through cloud computing technology to form public digital culture cloud resources, realize the unified scheduling of resources and services, and provide resource basis for public cultural institutions to provide on-demand and agile intelligent services. Service means mainly include cloud service platform and various terminal devices.


### 4.1.2. Basic Functions of the System

Public digital culture cloud service runs through the whole process of resource collection, resource management, and resource service. Combined with the basic functions of public digital culture service, the functions of public digital culture cloud service system mainly include three parts: cloud resource integration and sharing function, cloud service function, and cloud platform management function.


### 4.1.3. Public Digital Culture Cloud Service Innovation Process

The innovation process of public digital culture cloud service can be seen as a process of driving resources according to user needs to form a shared service chain and realize the optimal allocation of cloud resources and service efficiency. The whole process of optimal allocation of resources or supply-demand matching needs to go through gradual stages such as virtualization, service, and combination optimization and finally realize innovative services. Among them, virtualization refers to the standardized modeling of decentralized and heterogeneous public digital culture cloud resources to form a cloud resource pool, so as to realize the effective aggregation and sharing of resources. Service-oriented refers to the construction of cloud resource service chain based on the aggregation of cloud resources, so as to realize the on-demand matching of cloud resource services. Portfolio optimization refers to using the service portfolio optimization algorithm to select the best cloud service according to the demand attributes of the cloud service demander, so as to improve the matching degree between user needs and public digital cultural resources.


### 4.1.4. Virtual Modeling of Public Digital Culture Cloud Resources

The virtualization modeling of public digital culture cloud resources is the premise and foundation for the standardized description of public digital culture cloud resources and the subsequent sharing and service of cloud resources. Different public cultural institutions have great differences in service content, resource type, metadata format, etc., as shown in Table2.Table 2
Digital resources of major public cultural institutions.
Organization typeLibraryMuseumArchives centerArt galleryMechanism functionCollect, sort out, and collect books and periodicals for reading and referenceSolicit, collect, display, and study objects representing natural and human cultural heritageCollect and keep archives and be responsible for receiving, collecting, managing, and utilizing archivesPreserve and display works of artResource typeBooks, periodicals, pictures, web pages, videos, etc.Images, calligraphy and painting works, sculptures, videos, static 3D, live 3D, etc.Text, video, pictures, etc.Text, pictures, dynamic artistic activities, etc.Metadata formatMarc, XML, DC, RDF, etc.CDWA, DC, VRA, CIMI, RDA, etc.EAD, EAC, TEI, etc.NAMO CDOI, etc.On the one hand, it is necessary to effectively integrate the existing public digital cultural resources in the organization by using the existing technical means such as metadata warehousing to facilitate integration and sharing. On the other hand, under the cloud service mode, service providers (service subjects) are no longer limited to public cultural institutions, but also include some organizations and individuals. The public digital culture cloud resources owned by each service subject have typical characteristics such as distribution, heterogeneity, diversity, autonomy, and mass. Therefore, it is necessary to classify these cloud resources scientifically and reasonably and extract the attribute characteristics of various cloud resources in terms of function, value, and association, so as to build a general multidimensional information description model of cloud resources.


## 4.1.1. System Architecture

Through the analysis of the constituent elements of the public digital culture cloud service system, this paper designs a schematic structure of the public digital culture cloud service system, as shown in Figure4.Figure 4
Public digital culture cloud service system structure.The service subject of public digital culture cloud service system is composed of public cultural institutions such as libraries, archives, museums, and art galleries. The resources of public cultural institutions are encapsulated through cloud computing technology to form public digital culture cloud resources, realize the unified scheduling of resources and services, and provide resource basis for public cultural institutions to provide on-demand and agile intelligent services. Service means mainly include cloud service platform and various terminal devices.


## 4.1.2. Basic Functions of the System

Public digital culture cloud service runs through the whole process of resource collection, resource management, and resource service. Combined with the basic functions of public digital culture service, the functions of public digital culture cloud service system mainly include three parts: cloud resource integration and sharing function, cloud service function, and cloud platform management function.


## 4.1.3. Public Digital Culture Cloud Service Innovation Process

The innovation process of public digital culture cloud service can be seen as a process of driving resources according to user needs to form a shared service chain and realize the optimal allocation of cloud resources and service efficiency. The whole process of optimal allocation of resources or supply-demand matching needs to go through gradual stages such as virtualization, service, and combination optimization and finally realize innovative services. Among them, virtualization refers to the standardized modeling of decentralized and heterogeneous public digital culture cloud resources to form a cloud resource pool, so as to realize the effective aggregation and sharing of resources. Service-oriented refers to the construction of cloud resource service chain based on the aggregation of cloud resources, so as to realize the on-demand matching of cloud resource services. Portfolio optimization refers to using the service portfolio optimization algorithm to select the best cloud service according to the demand attributes of the cloud service demander, so as to improve the matching degree between user needs and public digital cultural resources.


## 4.1.4. Virtual Modeling of Public Digital Culture Cloud Resources

The virtualization modeling of public digital culture cloud resources is the premise and foundation for the standardized description of public digital culture cloud resources and the subsequent sharing and service of cloud resources. Different public cultural institutions have great differences in service content, resource type, metadata format, etc., as shown in Table2.Table 2
Digital resources of major public cultural institutions.
Organization typeLibraryMuseumArchives centerArt galleryMechanism functionCollect, sort out, and collect books and periodicals for reading and referenceSolicit, collect, display, and study objects representing natural and human cultural heritageCollect and keep archives and be responsible for receiving, collecting, managing, and utilizing archivesPreserve and display works of artResource typeBooks, periodicals, pictures, web pages, videos, etc.Images, calligraphy and painting works, sculptures, videos, static 3D, live 3D, etc.Text, video, pictures, etc.Text, pictures, dynamic artistic activities, etc.Metadata formatMarc, XML, DC, RDF, etc.CDWA, DC, VRA, CIMI, RDA, etc.EAD, EAC, TEI, etc.NAMO CDOI, etc.On the one hand, it is necessary to effectively integrate the existing public digital cultural resources in the organization by using the existing technical means such as metadata warehousing to facilitate integration and sharing. On the other hand, under the cloud service mode, service providers (service subjects) are no longer limited to public cultural institutions, but also include some organizations and individuals. The public digital culture cloud resources owned by each service subject have typical characteristics such as distribution, heterogeneity, diversity, autonomy, and mass. Therefore, it is necessary to classify these cloud resources scientifically and reasonably and extract the attribute characteristics of various cloud resources in terms of function, value, and association, so as to build a general multidimensional information description model of cloud resources.


## 4.2. Regional Public Digital Culture Cloud Service Platform Model

### 4.2.1. Determination of Evaluation Index Weight Based on AHP

The weight can reflect the relative importance of each evaluation index. There are many methods to determine the index weight of the operation effect of cloud service mode of regional sharing platform. This paper selects analytic hierarchy process to determine the index weight. Analytic hierarchy process transforms the weight judgment of multiple different factors into comparing different factors. This method uses the numbers 1-9 and their reciprocal as the evaluation scale to construct the judgment matrix of pairwise comparison. At the same time, different indexes are compared in pairs, and their importance order is judged according to the degree of relative importance, as shown in Table3; Table 4 is the average consistency index, and Figure 5 is the discount diagram of average consistency index.Table 3
Relative importance level.
Serial numberDegree of importance when comparing with each otheraij assignment1Elementi is as important as element j12Elementi is slightly more important than element j33Elementi is obviously more important than element j54Elementi is very important compared with element j75Elementi is extremely important compared with element j96In the middle of the above level2, 4, 6, 8Table 4
Average consistency index.
n123456789RI000.5140.8941.1181.2481.3441.4211.461Figure 5
Average consistency index.Pass the index consistency test; otherwise, it is necessary to redeploy the original judgment matrix and return to the first step.


### 4.2.2. Construction of Comprehensive Evaluation Model

When we evaluate something, because its boundary is not very clear and has a certain fuzziness, it is difficult to give a clear judgment such as “yes” or “no.” However, the fuzzy comprehensive evaluation model based on fuzzy mathematics theory can make up for this disadvantage. Therefore, we can implement fuzzy comprehensive evaluation for more complex problems. The fuzzy comprehensive evaluation of the operation effect of the cloud service mode of the regional sharing platform is calculated according to the membership matrix and its weight of the evaluation index, but it is sufficient in the comprehensive evaluation degree and the use of the information of the index evaluation matrix. It is fully reflected in the weight, the degree of comprehensive evaluation, and the use of index evaluation matrix. Firstly, this paper analyzes the influencing factors of the operation effect of cloud service mode of regional sharing platform, including demand integration, resource integration, operation management, and service effect. Based on this, a design model of the cloud-based measurement system was provided, and a cloud-based measurement system was developed. Finally, the weight of the metric was determined by hierarchical analytical procedures, creating an unambiguous measure of the performance of the cloud computing service.


## 4.2.1. Determination of Evaluation Index Weight Based on AHP

The weight can reflect the relative importance of each evaluation index. There are many methods to determine the index weight of the operation effect of cloud service mode of regional sharing platform. This paper selects analytic hierarchy process to determine the index weight. Analytic hierarchy process transforms the weight judgment of multiple different factors into comparing different factors. This method uses the numbers 1-9 and their reciprocal as the evaluation scale to construct the judgment matrix of pairwise comparison. At the same time, different indexes are compared in pairs, and their importance order is judged according to the degree of relative importance, as shown in Table3; Table 4 is the average consistency index, and Figure 5 is the discount diagram of average consistency index.Table 3
Relative importance level.
Serial numberDegree of importance when comparing with each otheraij assignment1Elementi is as important as element j12Elementi is slightly more important than element j33Elementi is obviously more important than element j54Elementi is very important compared with element j75Elementi is extremely important compared with element j96In the middle of the above level2, 4, 6, 8Table 4
Average consistency index.
n123456789RI000.5140.8941.1181.2481.3441.4211.461Figure 5
Average consistency index.Pass the index consistency test; otherwise, it is necessary to redeploy the original judgment matrix and return to the first step.


## 4.2.2. Construction of Comprehensive Evaluation Model

When we evaluate something, because its boundary is not very clear and has a certain fuzziness, it is difficult to give a clear judgment such as “yes” or “no.” However, the fuzzy comprehensive evaluation model based on fuzzy mathematics theory can make up for this disadvantage. Therefore, we can implement fuzzy comprehensive evaluation for more complex problems. The fuzzy comprehensive evaluation of the operation effect of the cloud service mode of the regional sharing platform is calculated according to the membership matrix and its weight of the evaluation index, but it is sufficient in the comprehensive evaluation degree and the use of the information of the index evaluation matrix. It is fully reflected in the weight, the degree of comprehensive evaluation, and the use of index evaluation matrix. Firstly, this paper analyzes the influencing factors of the operation effect of cloud service mode of regional sharing platform, including demand integration, resource integration, operation management, and service effect. Based on this, a design model of the cloud-based measurement system was provided, and a cloud-based measurement system was developed. Finally, the weight of the metric was determined by hierarchical analytical procedures, creating an unambiguous measure of the performance of the cloud computing service.


## 4.3. Construction of “Multiple” Mode of Public Digital Culture Cloud Service

### 4.3.1. “Multilevel” User Needs of Public Digital Culture Cloud Services

Simple browsing type: the main purpose of this kind of users to obtain public digital cultural resources is to enrich their amateur cultural life. They have no strong desire to learn, but simply browse some learning and entertainment materials, such as public digital cultural news, opera resource library, and multimedia resources. They do not have high requirements for the professionalism of public digital cultural resources and mainly hold the mentality of easy entertainment. They have a wide range of interests and curiosity. They may be interested in any form of public digital cultural resources. Novel public digital cultural resources and diversified communication forms can attract their attention.Professional learning: this is the psychology of most users to use public digital cultural resources. Their purpose of using public digital cultural resources is directly related to their own learning and tasks. Such users pay more attention to the authenticity and originality of public digital cultural resources and have a clear positioning for their public digital cultural needs. They also need to obtain all public digital cultural resources in the target field to meet their learning needs and have an accurate grasp of the public digital cultural resources they want to retrieve with clear goals.Comprehensive knowledge type: with the development of network technology and the popularization of terminal equipment, users have more and more means to obtain public digital cultural resources. Users’ needs are comprehensive and systematic. They want to understand multichannel and multidirectional public digital cultural resources. Such users are often good at a certain field. They need more solutions to problems and require the retrieved public digital culture resources to be concise, complete, accurate, and comprehensive. Their expectations for public digital culture resources are often not limited to the resources themselves, but also include the interaction and communication between experts and peers, and expect the support and help of experts.


### 4.3.2. “Multiple” Mode of Public Digital Culture Cloud Service Based on User Needs

Cloud service model for basic public digital culture needs: building an open and integrated cloud service model for basic public digital culture needs is a basic service model provided by public digital culture cloud services. The purpose of the service is to ensure the integrated sharing and barrier-free access of public digital culture resources. The service object is users who browse simple information on the Internet. Such users browse public digital cultural resources mainly to meet their basic needs without specific purposes, as shown in Figure6.Figure 6
Cloud service model for basic public digital culture needs.The cloud service model for professional public digital culture needs is mainly for users with specific public digital culture needs. This kind of users’ demand for resources has two characteristics: on the one hand, the scope of public digital culture resources required is narrow and targeted; on the other hand, due to the influence of cultural background and learning skills, the resources and services that such users want to obtain are deep and professional. The cloud service model for professional public digital culture needs is shown in Figure7.Figure 7
Cloud service model for professional public digital culture needs.The cloud service model for comprehensive public digital culture needs has two characteristics: on the one hand, the public digital culture resources users want to obtain are the optimal resources optimized by system combination, rather than the raw resources without processing; on the other hand, users not only hope to obtain the most professional public digital cultural resources but also the most comprehensive. It is a comprehensive public digital cultural resource obtained by combining multiple knowledge subjects. The cloud service model for the needs of comprehensive public digital culture is shown in Figure8.Figure 8
Cloud service model for comprehensive public digital culture needs.


### 4.3.3. Summary of Three Service Modes of Public Digital Culture Cloud Service

The cloud service mode for basic public digital culture needs, the cloud service mode for professional public digital culture needs, and the cloud service mode for comprehensive public digital culture needs are three modes of public digital culture cloud services. The development of these three service modes is progressive at all levels. Public cultural institutions should provide public digital culture cloud services in combination with their own actual situation in the construction process. Among them, barrier-free access and sharing of public digital culture resources is the basis for the development of cloud services for basic public digital culture needs, and it is also the premise and guarantee for the realization of the other two cloud service modes. The continuous expansion and deepening of the cloud service model for the needs of professional public digital culture also constitute the cornerstone of the development of the cloud service model for the needs of comprehensive public digital culture. The following summarizes the above three service modes from the aspects of service objects, service objectives, service resources, service contents, and service methods, as shown in Table5.Table 5
Summary of digital cloud public service modes.
Service modeCloud service model for basic public digital culture needsCloud service model for professional public digital culture needsCloud service model for comprehensive public digital culture needsService objectSimple information browsing usersSpecific user groupsComprehensive knowledge userService objectivesMeet basic needsMeet the needs of learning and tasksGet diversified solutionsService resourcesNovel and peculiarPay attention to professionalism and have a deep range of resourcesIt emphasizes the collaborative interaction of resources and has a wide range of resourcesService contentBook resources, archives resources, art resources, and other public digital culture cloud resourcesUser characteristic information base, user demand base, and professional knowledge baseExpert consultation database, online communication database, user characteristic information database, user demand database, and various public digital culture cloud resourcesService modeRoutine service, simple requirementsProfessional service and strong pertinenceComprehensive service and complex process


## 4.3.1. “Multilevel” User Needs of Public Digital Culture Cloud Services

Simple browsing type: the main purpose of this kind of users to obtain public digital cultural resources is to enrich their amateur cultural life. They have no strong desire to learn, but simply browse some learning and entertainment materials, such as public digital cultural news, opera resource library, and multimedia resources. They do not have high requirements for the professionalism of public digital cultural resources and mainly hold the mentality of easy entertainment. They have a wide range of interests and curiosity. They may be interested in any form of public digital cultural resources. Novel public digital cultural resources and diversified communication forms can attract their attention.Professional learning: this is the psychology of most users to use public digital cultural resources. Their purpose of using public digital cultural resources is directly related to their own learning and tasks. Such users pay more attention to the authenticity and originality of public digital cultural resources and have a clear positioning for their public digital cultural needs. They also need to obtain all public digital cultural resources in the target field to meet their learning needs and have an accurate grasp of the public digital cultural resources they want to retrieve with clear goals.Comprehensive knowledge type: with the development of network technology and the popularization of terminal equipment, users have more and more means to obtain public digital cultural resources. Users’ needs are comprehensive and systematic. They want to understand multichannel and multidirectional public digital cultural resources. Such users are often good at a certain field. They need more solutions to problems and require the retrieved public digital culture resources to be concise, complete, accurate, and comprehensive. Their expectations for public digital culture resources are often not limited to the resources themselves, but also include the interaction and communication between experts and peers, and expect the support and help of experts.


## 4.3.2. “Multiple” Mode of Public Digital Culture Cloud Service Based on User Needs

Cloud service model for basic public digital culture needs: building an open and integrated cloud service model for basic public digital culture needs is a basic service model provided by public digital culture cloud services. The purpose of the service is to ensure the integrated sharing and barrier-free access of public digital culture resources. The service object is users who browse simple information on the Internet. Such users browse public digital cultural resources mainly to meet their basic needs without specific purposes, as shown in Figure6.Figure 6
Cloud service model for basic public digital culture needs.The cloud service model for professional public digital culture needs is mainly for users with specific public digital culture needs. This kind of users’ demand for resources has two characteristics: on the one hand, the scope of public digital culture resources required is narrow and targeted; on the other hand, due to the influence of cultural background and learning skills, the resources and services that such users want to obtain are deep and professional. The cloud service model for professional public digital culture needs is shown in Figure7.Figure 7
Cloud service model for professional public digital culture needs.The cloud service model for comprehensive public digital culture needs has two characteristics: on the one hand, the public digital culture resources users want to obtain are the optimal resources optimized by system combination, rather than the raw resources without processing; on the other hand, users not only hope to obtain the most professional public digital cultural resources but also the most comprehensive. It is a comprehensive public digital cultural resource obtained by combining multiple knowledge subjects. The cloud service model for the needs of comprehensive public digital culture is shown in Figure8.Figure 8
Cloud service model for comprehensive public digital culture needs.


## 4.3.3. Summary of Three Service Modes of Public Digital Culture Cloud Service

The cloud service mode for basic public digital culture needs, the cloud service mode for professional public digital culture needs, and the cloud service mode for comprehensive public digital culture needs are three modes of public digital culture cloud services. The development of these three service modes is progressive at all levels. Public cultural institutions should provide public digital culture cloud services in combination with their own actual situation in the construction process. Among them, barrier-free access and sharing of public digital culture resources is the basis for the development of cloud services for basic public digital culture needs, and it is also the premise and guarantee for the realization of the other two cloud service modes. The continuous expansion and deepening of the cloud service model for the needs of professional public digital culture also constitute the cornerstone of the development of the cloud service model for the needs of comprehensive public digital culture. The following summarizes the above three service modes from the aspects of service objects, service objectives, service resources, service contents, and service methods, as shown in Table5.Table 5
Summary of digital cloud public service modes.
Service modeCloud service model for basic public digital culture needsCloud service model for professional public digital culture needsCloud service model for comprehensive public digital culture needsService objectSimple information browsing usersSpecific user groupsComprehensive knowledge userService objectivesMeet basic needsMeet the needs of learning and tasksGet diversified solutionsService resourcesNovel and peculiarPay attention to professionalism and have a deep range of resourcesIt emphasizes the collaborative interaction of resources and has a wide range of resourcesService contentBook resources, archives resources, art resources, and other public digital culture cloud resourcesUser characteristic information base, user demand base, and professional knowledge baseExpert consultation database, online communication database, user characteristic information database, user demand database, and various public digital culture cloud resourcesService modeRoutine service, simple requirementsProfessional service and strong pertinenceComprehensive service and complex process


## 5. Conclusion

The continuous advancement of information and the rapid development of digital technology will not only improve the public service digital culture but also affect the services existing in public culture. New technologies such as cloud computing have provided support to improve public digital culture services and create new models of public weather practices. This article examines the fundamental concepts of digital weather cloud services in three areas: the definition and characteristics of digital weather public service, the new process of public service, digital culture weather, and public services digital culture cloud was planned to strike, rapid innovation of public cloud culture. This article describes the meaning and status of public cloud culture services, examines the motivation for innovation in public digital cloud services through political, economic, social, scientific, and technological, and assesses the needs of the public culture. Based on the definitions of cloud service and cloud manufacturing service, combined with the characteristics of public digital culture service, this paper interprets the new connotation and characteristics of public digital culture cloud service and studies the architecture of public digital culture cloud service innovation. This paper studies the constituent elements of public digital culture cloud service system from five aspects: service participants, service concept, service resources and service content, service mode, service support technology, and means, constructs the structure of public digital culture cloud service system, and analyzes the system structure and function. From the perspective of optimizing the allocation of public digital culture cloud resources, this paper analyzes the innovation process of public digital culture cloud services in four aspects: cloud resource standardization, cloud resource integration, cloud resource combination optimization, and cloud service innovation, and constructs a “multiple” development model of public digital culture cloud services. Based on the collection of typical cases of public digital culture service mode, this paper summarizes the characteristics of the existing service mode and analyzes the goal of public digital culture cloud service in view of the bottleneck of current public digital culture service and future development trend. According to the hierarchy and diversity of users’ needs, this paper constructs the “multiple” development model of public digital culture cloud service and puts forward the countermeasures for the innovation of public digital culture cloud service. This paper puts forward the countermeasures to promote the innovation of public digital culture cloud service from four aspects: the innovation of service concept, the integration of public digital culture resources, the construction of characteristic resource database, and the cultivation of service team and user ability.



---

*Source: 1852502-2022-08-24.xml*