Moussab/ORKG-training-evaluation-set huggingface dataset:
Research field: Urban Studies and Planning
Title: Changing competences of public managers: tensions in commitment
Abstract: The literature on managerial competences has not sufficiently addressed the value contents of competences and the generic features of public managers. This article presents a model of five competence areas: task competence, professional competence in substantive policy field, professional competence in administration, political competence and ethical competence. Each competence area includes both value and instrumental competences. Relatively permanent value competences are understood as commitments. The assumptions of new public management question not only the instrumental competences but also the commitments of traditional public service. The efficacy of human resource development is limited in learning new commitments. Apart from structural reforms that speed up the process, the friction in the change of commitments is seen as slow cultural change in many public organisations. This is expressed by transitional tensions in task commitment, professional commitment, political commitment, and ethical commitment of public managers.
Extracted statement — has character traits : commitment
Research field: Urban Studies and Planning
Title: Industry 4.0 Complemented with EA Approach: A Proposal for Digital Transformation Success
Abstract: Manufacturing industry based on steam know as Industry 1.0 is evolving to Industry 4.0 a digital ecosystem consisting of an interconnected automated system with real-time data. This paper investigates and proposes, how the digital ecosystem complemented with Enterprise Architecture practice will ensure the success of digital transformation.
Extracted statement — Components : Data
Research field: Urban Studies and Planning
Title: A Roadmap on Improved Performance-centric Cloud Storage Estimation Approach for Database System Deployment in Cloud Environment
Abstract: Cloud computing has taken the limelight with respect to the present industry scenario due to its multi-tenant and pay-as-you-use models, where users need not bother about buying resources like hardware, software, infrastructure, etc. on an permanently basis. As much as the technological benefits, cloud computing also has its downside. By looking at its financial benefits, customers who cannot afford initial investments, choose cloud by compromising on its concerns, like security, performance, estimation, availability, etc. At the same time due to its risks, customers - relatively majority in number, avoid migration towards cloud. Considering this fact, performance and estimation are being the major critical factors for any application deployment in cloud environment; this paper brings the roadmap for an improved performance-centric cloud storage estimation approach, which is based on balanced PCTFree allocation technique for database systems deployment in cloud environment. Objective of this approach is to highlight the set of key activities that have to be jointly done by the database technical team and business users of the software system in order to perform an accurate analysis to arrive at estimation for sizing of the database. For the evaluation of this approach, an experiment has been performed through varied-size PCTFree allocations on an experimental setup with 100000 data records. The result of this experiment shows the impact of PCTFree configuration on database performance. Basis this fact, we propose an improved performance-centric cloud storage estimation approach in cloud. Further, this paper applies our improved performance-centric storage estimation approach on decision support system (DSS) as a case study.
Extracted statement — Components : Data
Research field: Urban Studies and Planning
Title: CityPulse: Large Scale Data Analytics Framework for Smart Cities
Abstract: Our world and our lives are changing in many ways. Communication, networking, and computing technologies are among the most influential enablers that shape our lives today. Digital data and connected worlds of physical objects, people, and devices are rapidly changing the way we work, travel, socialize, and interact with our surroundings, and they have a profound impact on different domains, such as healthcare, environmental monitoring, urban systems, and control and management applications, among several other areas. Cities currently face an increasing demand for providing services that can have an impact on people's everyday lives. The CityPulse framework supports smart city service creation by means of a distributed system for semantic discovery, data analytics, and interpretation of large-scale (near-)real-time Internet of Things data and social media data streams. To goal is to break away from silo applications and enable cross-domain data integration. The CityPulse framework integrates multimodal, mixed quality, uncertain and incomplete data to create reliable, dependable information and continuously adapts data processing techniques to meet the quality of information requirements from end users. Different than existing solutions that mainly offer unified views of the data, the CityPulse framework is also equipped with powerful data analytics modules that perform intelligent data aggregation, event detection, quality assessment, contextual filtering, and decision support. This paper presents the framework, describes its components, and demonstrates how they interact to support easy development of custom-made applications for citizens. The benefits and the effectiveness of the framework are demonstrated in a use-case scenario implementation presented in this paper.
Extracted statement — Ontology domains: Event
Research field: Urban Studies and Planning
Title: Digital Twin and Big Data Towards Smart Manufacturing and Industry 4.0: 360 Degree Comparison
Abstract: With the advances in new-generation information technologies, especially big data and digital twin, smart manufacturing is becoming the focus of global manufacturing transformation and upgrading. Intelligence comes from data. Integrated analysis for the manufacturing big data is beneficial to all aspects of manufacturing. Besides, the digital twin paves a way for the cyber-physical integration of manufacturing, which is an important bottleneck to achieve smart manufacturing. In this paper, the big data and digital twin in manufacturing are reviewed, including their concept as well as their applications in product design, production planning, manufacturing, and predictive maintenance. On this basis, the similarities and differences between big data and digital twin are compared from the general and data perspectives. Since the big data and digital twin can be complementary, how they can be integrated to promote smart manufacturing are discussed.
Extracted statement — has environment: General
Research field: Urban Studies and Planning
Title: Impact of COVID-19 pandemic on mobility in ten countries and associated perceived risk for all transport modes
Abstract: The restrictive measures implemented in response to the COVID-19 pandemic have triggered sudden massive changes to travel behaviors of people all around the world. This study examines the individual mobility patterns for all transport modes (walk, bicycle, motorcycle, car driven alone, car driven in company, bus, subway, tram, train, airplane) before and during the restrictions adopted in ten countries on six continents: Australia, Brazil, China, Ghana, India, Iran, Italy, Norway, South Africa and the United States. This cross-country study also aims at understanding the predictors of protective behaviors related to the transport sector and COVID-19. Findings hinge upon an online survey conducted in May 2020 (N = 9,394). The empirical results quantify tremendous disruptions for both commuting and non-commuting travels, highlighting substantial reductions in the frequency of all types of trips and use of all modes. In terms of potential virus spread, airplanes and buses are perceived to be the riskiest transport modes, while avoidance of public transport is consistently found across the countries. According to the Protection Motivation Theory, the study sheds new light on the fact that two indicators, namely income inequality, expressed as Gini index, and the reported number of deaths due to COVID-19 per 100,000 inhabitants, aggravate respondents’ perceptions. This research indicates that socio-economic inequality and morbidity are not only related to actual health risks, as well documented in the relevant literature, but also to the perceived risks. These findings document the global impact of the COVID-19 crisis as well as provide guidance for transportation practitioners in developing future strategies.
Extracted statement — Country: Iran
Research field: Urban Studies and Planning
Title: The Digital Twin Paradigm for Future NASA and U.S. Air Force Vehicles
Abstract: Future generations of NASA and U.S. Air Force vehicles will require lighter mass while being subjected to higher loads and more extreme service conditions over longer time periods than the present generation. Current approaches for certification, fleet management and sustainment are largely based on statistical distributions of material properties, heuristic design philosophies, physical testing and assumed similitude between testing and operational conditions and will likely be unable to address these extreme requirements. To address the shortcomings of conventional approaches, a fundamental paradigm shift is needed. This paradigm shift, the Digital Twin, integrates ultra-high fidelity simulation with the vehicle s on-board integrated vehicle health management system, maintenance history and all available historical and fleet data to mirror the life of its flying twin and enable unprecedented levels of safety and reliability.
Extracted statement — Has health: management
Research field: Urban Studies and Planning
Title: Tools of quality economics: sustainable development of a ‘smart city’ under conditions of digital transformation of the economy
Abstract: The article covers the issues of ensuring sustainable city development based on the achievements of digitalization. Attention is also paid to the use of quality economy tools in managing 'smart' cities under conditions of the digital transformation of the national economy. The current state of 'smart' cities and the main factors contributing to their sustainable development, including the digitalization requirements is analyzed. Based on the analysis of statistical material, the main prospects to form the 'smart city' concept, the possibility to assess such parameters as 'life quality', 'comfort', 'rational organization', 'opportunities', 'sustainable development', 'city environment accessibility', 'use of communication technologies'. The role of tools for quality economics is revealed in ensuring the big city life under conditions of digital economy. The concept of 'life quality' is considered, which currently is becoming one of the fundamental vectors of the human civilization development, a criterion that is increasingly used to compare countries and territories. Special attention is paid to such tools and methods of quality economics as standardization, metrology and quality management. It is proposed to consider these tools as a mechanism for solving the most important problems in the national economy development under conditions of digital transformation.
Extracted statement — Components : Metrology
Research field: Urban Studies and Planning
Title: Industry 4 . 0 : The Future of Productivity and Growth in Manufacturing Industries 
Abstract: Technological advances have driven dramatic increases in industrial productivity since the dawn of the Industrial Revolution. The steam engine powered factories in the nineteenth century, electrification led to mass production in the early part of the twentieth century, and industry became automated in the 1970s. In the decades that followed, however, industrial technological advancements were only incremental, especially compared with the breakthroughs that transformed IT, mobile communications, and e-commerce.
Extracted statement — has performance: Part
Research field: Urban Studies and Planning
Title: Evolution of Enterprise Architecture for Digital Transformation
Abstract: The digital transformation of our life changes the way we work, learn, communicate, and collaborate. Enterprises are presently transforming their strategy, culture, processes, and their information systems to become digital. The digital transformation deeply disrupts existing enterprises and economies. Digitization fosters the development of IT systems with many rather small and distributed structures, like Internet of Things, Microservices and mobile services. Since years a lot of new business opportunities appear using the potential of services computing, Internet of Things, mobile systems, big data with analytics, cloud computing, collaboration networks, and decision support. Biological metaphors of living and adaptable ecosystems provide the logical foundation for self-optimizing and resilient run-time environments for intelligent business services and adaptable distributed information systems with service-oriented enterprise architectures. This has a strong impact for architecting digital services and products following both a value-oriented and a service perspective. The change from a closed-world modeling world to a more flexible open-world composition and evolution of enterprise architectures defines the moving context for adaptable and high distributed systems, which are essential to enable the digital transformation. The present research paper investigates the evolution of Enterprise Architecture considering new defined value-oriented mappings between digital strategies, digital business models and an improved digital enterprise architecture.
Extracted statement — Components : Perspective
Research field: Urban Studies and Planning
Title: CityPulse: Large Scale Data Analytics Framework for Smart Cities
Abstract: Our world and our lives are changing in many ways. Communication, networking, and computing technologies are among the most influential enablers that shape our lives today. Digital data and connected worlds of physical objects, people, and devices are rapidly changing the way we work, travel, socialize, and interact with our surroundings, and they have a profound impact on different domains, such as healthcare, environmental monitoring, urban systems, and control and management applications, among several other areas. Cities currently face an increasing demand for providing services that can have an impact on people's everyday lives. The CityPulse framework supports smart city service creation by means of a distributed system for semantic discovery, data analytics, and interpretation of large-scale (near-)real-time Internet of Things data and social media data streams. To goal is to break away from silo applications and enable cross-domain data integration. The CityPulse framework integrates multimodal, mixed quality, uncertain and incomplete data to create reliable, dependable information and continuously adapts data processing techniques to meet the quality of information requirements from end users. Different than existing solutions that mainly offer unified views of the data, the CityPulse framework is also equipped with powerful data analytics modules that perform intelligent data aggregation, event detection, quality assessment, contextual filtering, and decision support. This paper presents the framework, describes its components, and demonstrates how they interact to support easy development of custom-made applications for citizens. The benefits and the effectiveness of the framework are demonstrated in a use-case scenario implementation presented in this paper.
Extracted statement — Ontologies which have been used as referenced: prov
Research field: Urban Studies and Planning
Title: Smart city initiatives in the context of digital transformation: scope, services and technologies
Abstract: Digital transformation is an emerging trend in developing the way how the work is being done, and it is present in the private and public sector, in all industries and fields of work. Smart cities, as one of the concepts related to digital transformation, is usually seen as a matter of local governments, as it is their responsibility to ensure a better quality of life for the citizens. Some cities have already taken advantages of possibilities offered by the concept of smart cities, creating new values to all stakeholders interacting in the living city ecosystems, thus serving as examples of good practice, while others are still developing and growing on their intentions to become smart. This paper provides a structured literature analysis and investigates key scope, services and technologies related to smart cities and digital transformation as concepts of empowering social and collaboration interactions, in order to identify leading factors in most smart city initiatives.
Extracted statement — Components : Scope
Research field: Urban Studies and Planning
Title: Smart city initiatives in the context of digital transformation: scope, services and technologies
Abstract: Digital transformation is an emerging trend in developing the way how the work is being done, and it is present in the private and public sector, in all industries and fields of work. Smart cities, as one of the concepts related to digital transformation, is usually seen as a matter of local governments, as it is their responsibility to ensure a better quality of life for the citizens. Some cities have already taken advantages of possibilities offered by the concept of smart cities, creating new values to all stakeholders interacting in the living city ecosystems, thus serving as examples of good practice, while others are still developing and growing on their intentions to become smart. This paper provides a structured literature analysis and investigates key scope, services and technologies related to smart cities and digital transformation as concepts of empowering social and collaboration interactions, in order to identify leading factors in most smart city initiatives.
Extracted statement — Components : Services
Research field: Urban Studies and Planning
Title: Encouraging civic participation through local news aggregation
Abstract: Traditional sources of information for small and rural communities have been disappearing over the past decade. A lot of the information and discussion related to such local geographic areas is now scattered across websites of numerous local organizations, individual blogs, social media and other user-generated media (YouTube, Flickr). It is important to capture this information and make it easily accessible to local citizens to facilitate citizen engagement and social interaction. Furthermore, a system that has location-based support can provide local citizens with an engaging way to interact with this information and identify the local issues most relevant to them. A location-based interface for a local geographic area enables people to identify and discuss local issues related to specific locations such as a particular street or a road construction site. We created an information aggregator, called the Virtual Town Square (VTS), to support and facilitate local discussion and interaction. We created a location-based interface for users to access the information collected by VTS. In this paper, we discuss focus group interviews with local citizens that motivated our design of a local news and information aggregator to facilitate civic participation. We then discuss the unique design challenges in creating such a local news aggregator and our design approach to create a local information ecosystem. We describe VTS and the initial evaluation and feedback we received from local users and through weekly meetings with community partners.
Extracted statement — has Implementation level: System
Research field: Urban Studies and Planning
Title: Smart city initiatives in the context of digital transformation: scope, services and technologies
Abstract: Digital transformation is an emerging trend in developing the way how the work is being done, and it is present in the private and public sector, in all industries and fields of work. Smart cities, as one of the concepts related to digital transformation, is usually seen as a matter of local governments, as it is their responsibility to ensure a better quality of life for the citizens. Some cities have already taken advantages of possibilities offered by the concept of smart cities, creating new values to all stakeholders interacting in the living city ecosystems, thus serving as examples of good practice, while others are still developing and growing on their intentions to become smart. This paper provides a structured literature analysis and investigates key scope, services and technologies related to smart cities and digital transformation as concepts of empowering social and collaboration interactions, in order to identify leading factors in most smart city initiatives.
Extracted statement — Components : Technologies
Research field: Urban Studies and Planning
Title: Collaborating Filtering Community Image Recommendation System Based on Scene
Abstract: With the advancement of smart city, the development of intelligent mobile terminal and wireless network, the traditional text information service no longer meet the needs of the community residents, community image service appeared as a new media service. “There are pictures of the truth” has become a community residents to understand and master the new dynamic community, image information service has become a new information service. However, there are two major problems in image information service. Firstly, the underlying eigenvalues extracted by current image feature extraction techniques are difficult for users to understand, and there is a semantic gap between the image content itself and the user’s understanding; secondly, in community life of the image data increasing quickly, it is difficult to find their own interested image data. Aiming at the two problems, this paper proposes a unified image semantic scene model to express the image content. On this basis, a collaborative filtering recommendation model of fusion scene semantics is proposed. In the recommendation model, a comprehensiveness and accuracy user interest model is proposed to improve the recommendation quality. The results of the present study have achieved good results in the pilot cities of Wenzhou and Yan'an, and it is applied normally.
Extracted statement — has Application Scope: User
Research field: Urban Studies and Planning
Title: Skunkworks finder: unlocking the diversity advantage of urban innovation ecosystems
Abstract: Entrepreneurs and start-up founders using innovation spaces and hubs often find themselves inside a filter bubble or echo chamber, where like-minded people tend to come up with similar ideas and recommend similar approaches to innovation. This trend towards homophily and a polarisation of like-mindedness is aggravated by algorithmic filtering and recommender systems embedded in mobile technology and social media platforms. Yet, genuine innovation thrives on social inclusion fostering a diversity of ideas. To escape these echo chambers, we designed and tested the Skunkworks Finder - an exploratory tool that employs social network analysis to help users discover spaces of difference and otherness in their local urban innovation ecosystem.
Extracted statement — has Application Scope: User