bluuebunny/crossref_metadata_2025 huggingface dataset:
A Comparative Study of e-Participation Effectiveness Evaluation Approaches
Authors: Trutnev Dmitrii  , Vidiasova Lyudmila
Published: February 2025

E-participation is becoming an increasingly important factor in the development of mutually beneficial relations between the state and society. In order to meet the needs of both sides, this development must be accurately measured and effectively controlled and for this we need to select and apply the most appropriate metrics and methods for measuring e-participation results, impacts and created values. This paper presents the results of the comparison of techniques currently used to assess different aspects of e-participation performance and impacts. The paper also proposes a new method of assessment and suggests a way to select the proper e-participation assessment methodology. The authors applied T. Paronson's AGIL paradigm to identifying the social functions and values that are prerequisites for any society to be able to persist and evolve over time. The research results show that the majority of approaches were focused on technology and policy frameworks existence and use, as well as on different interpretations of social impacts. This study revealed the lack of economic impacts interpretation and measurement tools for decision-making evaluation. The authors detected the necessity of additional indicators needed to measure the e-participation progress and prepare recommendations for its' sustainable development. Proposed conclusions can be useful for selecting the most appropriate e-participation assessment methodology and detection of measures missing to obtain a rigorous assessment in the specific country context.
“Hit the Bull's-Eye” – Electronic Participation Through Social Media
Authors: Alarabiat Ayman  , Sá Soares Delfina  , Estevez Elsa
Published: February 2025

This paper presents research findings of reviewing 42 studies concerning electronic participation (e-Participation) through social media. Overall, such initiatives have reflected the prevalence of a one-way communication strategy, what do not considerably foster citizen involvement in policy decision making process.
Lessons Learned from Developing & Using an Online Platform for Public Participation in Federal Government Policymaking
Authors: Brooks Joshua  , Newhart Mary J.
Published: February 2025

In the United States, most members of the public don't know about the federal rulemaking process and don't participate even on major issues that affect them, like consumer-debt collection practices or airline passenger rights. Our team of researchers at Cornell set out to address this gap, working with federal agencies to take public comment during live, ongoing federal agency rulemakings while developing and testing an online platform paired with live human facilitation.
Exploring on the Role of Open Government Data in Emergency Management
Authors: Chen Yumei  , Pardo Theresa A.
Published: February 2025

As a typical practice of Open Government Data, OnTheMap for Emergency Management Shows potential impact on jobs/workers and population for hurricanes, tropical storms, fires, floods, snow and freezing rain probability and disaster declaration areas based on real-time geographic data of disaster events are automatically updated. We can explore that Open Government Data can not only help city agencies make decision on staffing, communication and deployment of resource, but also improve city's resilience and recovery, to improve our ability to protect life, property and environment.
A Platform to Research Presentation of Municipalities in Social Networks
Authors: Spassov Kamen  , Nozcheva Evelina
Published: February 2025

Businesses already entered social networks and use them actively as communication, marketing, sales, and customer support channels. In the recent years, municipalities and state administrations started to use social networks to reach their constituents although this practice is not consistent. The research is devoted on a development of a platform that allows to monitor and to analyze the presence of municipalities in Facebook. Some initial results are presented. The presence in Facebook of 264 municipalities in Bulgaria was monitored and analyzed in years 2014 and 2016. The platform http://socialpresence.azurewebsites.net/ is open to monitor and analyze municipalities' presence and performance in Facebook of municipalities all over the world.
The Smart Cities and Smart Government Research-Practice (SCSGRP) Consortium Workshop
Authors: Gil-Garcia J. Ramon  , Pardo Theresa
Published: February 2025

This workshop is a working meeting of the Smart Cities Smart Government Research-Practice Consortium. The main goal of the workshop is to continue conversations started since 2012. This workshop will build on SCSGRP Consortium meetings held at dg.o 2015, IFIP/egov 2015, and HICSS 2016.
Distributed Learning in Expert Referral Networks
Authors: KhudaBukhsh Ashiqur R.  , Jansen Peter J.  , Carbonell Jaime G.
Published: February 2025

Human experts or autonomous agents in a referral network must decide whether to accept a task or refer to a more appropriate expert, and if so to whom. In order for the referral network to improve over time, the experts must learn to estimate the topical expertise of other experts. This paper extends concepts from Reinforcement Learning and Active Learning to referral networks, to learn how to refer at the network level, based on the proposed distributed interval estimation learning (DIEL) algorithm. Diverse Monte Carlo simulations reveal that DIEL improves network performance significantly over both greedy and Q-learning baselines [3], approaching optimal given enough data.
Non-Utilitarian Coalition Structure Generation
Authors: Skibski Oskar  , Michalewski Henryk  , Nagórko Andrzej  , Michalak Tomasz P.  , Dowell Andrew  , Rahwan Talal  , Wooldridge Michael
Published: February 2025

The coalition structure generation problem is one of the key challenges in multi-agent coalition formation. It involves partitioning a set of agents into coalitions so that system performance is optimized. To date, the multi-agent systems literature has focused exclusively on the utilitarian version of this problem which seeks to maximize the sum of the values of the coalitions involved. However, there are many examples of situations in which other performance metrics are of interest. In particular, in games with non-transferable utility, we may be more interested in an egalitarian optimal coalition structure, or in minimizing the difference between the utilities of the most affluent and poorest agents. In this paper, we present a number of exact algorithms to solve such non-utilitarian formulations of the coalition structure generation problem.
Finite Unary Relations and Qualitative Constraint Satisfaction
Authors: Jonsson Peter
Published: February 2025

Extending qualitative CSPs with the ability of restricting selected variables to finite sets of possible values has been proposed as an important research direction with important applications. Complexity results for this kind of formalisms have appeared in the literature but they focus on concrete examples and not on general principles. We propose three general methods. The first two methods are based on analysing the given CSP from a model-theoretical perspective, while the third method is based on directly analysing the growth of the representation of solutions. We exemplify our methods on temporal and spatial formalisms including Allen's algebra and RCC5.
On the Roles of Logical Axiomatizations for Ontologies
Authors: Hitzler Pascal  , Krisnadhi Adila
Published: February 2025

In this brief chapter, we will elaborate on the different roles which logical axiomatizations can play for ontology design patterns and for ontologies in general. While doing this, we also encounter some of the many open research questions regarding this issue.
Building the Vector-Control Collaborative Strategy in Dengue Fever
Authors: Sesulihatien Wahjoe Tjatur  , Kiyoki Yasushi  , Sasaki Shiori  , Safie Azis  , Yotopranoto Subagyo  , Sornlertlamvanich Virach  , Hansuebai Aran  , Chawakitchareon Petchporn
Published: February 2025

Dengue fever is a communicable disease that attacks more than 120 countries in the world during 50 years. Therefore, it is to make sense to say that collaboration among the countries, especially neighborhood countries, is one important key to combat the dengue. Currently, except a serological collaboration, collaboration in dengue is sporadic and temporal. This paper addresses the initiative to build vector-control strategy collaborative among Surabaya (Indonesia), Kuala Lumpur (Malaysia), and Bangkok (Thailand). Deriving the global policy from World Health Organization (WHO), we build the system that (1) extracting global feature from the local feature, (2) selecting the significant features, to determine ranking of importance of a feature, by weighting a feature, and (3) matching the pattern of data to the suitable strategy by measuring the similarity. We built the system from the real data of the Surabaya, Kuala Lumpur and Bangkok in 2012. We verified reliability of the system by comparing the data with the actual action in January 2012 The result shows that the system is system feasible to be implemented, however we still need more preparation to implement the system.
Implicit Feature Identification in Chinese Reviews Based on Hybrid Rules
Authors: Wang Yong  , Tao Ya-Zhi  , Wan Xiao-Yi  , Cao Hui-Ying
Published: February 2025

In the most existed text-mining schemes for customer reviews, explicit features are usually concerned while implicit features are ignored, which probably leads to incomplete or incorrect results. In fact, it is necessary to consider implicit features in customer review mining. Focusing on the identification of implicit feature, a novel scheme based on hybrid rules is proposed, which mixed statistical rule, dependency parsing and conditional probability. Explicit product features are firstly extracted according to FP-tree method and clustered. Then, association pairs are obtained based on dependency parsing method and the production of frequency and PMI. Finally, implicit features are identified by considering the association pairs and conditional probability of verbs, nouns and emotional words. The proposed scheme is tested on a public cellphone reviews corpus. The results show that our scheme can effectively find implicit features in customer reviews. Therefore, our research can obtain more accurate and comprehensive results from the customer reviews.
Improvement of the Histogram for Infrequent Color-Based Illustration Image Classification
Authors: Fujisawa Akira  , Matsumoto Kazuyuki  , Yoshida Minoru  , Kita Kenji
Published: February 2025

Illustration images have a style that is often characterized by its emotional features. In this research, we tried to classify an illustration image based on the style. We hypothesized that the color that low appeared frequently would help to analyze the style. In previous research, an Infrequency histogram (IF-hist), was proposed as a feature that focused on the color appearance infrequency. However, IF-hist has the weakness that this feature cannot be used effectively for certain kind of images. To address this issue, we proposed a color histogram which uses a histogram value as its threshold. To evaluate the effectiveness of the proposed method, we experimented with classifying the illustration image into the style of “For boys” and ```For girls". As a result of the experiment, when using the proposed histogram as the feature, classification performance was better than using a normal color histogram. Moreover, the F-measure of the proposed histogram was better than the F-measure of IF-hist.
An Electricity Load Forecasting Method Based on Association Rule Analysis Attribute Reduction in Smart Grid
Authors: Liu Huan  , Han Ying-Hua
Published: February 2025

Accurate short-term load prediction is advantageous to enhance the secure and economic effect of electric system and ameliorate the supply quality. Thus, it is important to find an effective method to improve the short-term forecast precision effectively. There are lots of uncertain factors in smart grid power system affect the accuracy of the load forecasting directly. Meanwhile some less important factors can be reduced by attribute reduction. In this paper, association rule analysis is proposed to analyze the relevance of power load and its influencing factors, in order to improve the accuracy of load forecasting, and reduce the operation time. In this paper, a new method (FNNAR) is presented to forecast short-term load which is based on Association Rules (AR) and Fuzzy Neural Network (FNN). The Association Rules Mining algorithm based on Quantitative Concept Lattice (ARMQCL) is proposed to extract association rules. And attribute reduction is carried out based on these extracted association rules. Finally, FNN model uses the reduced attributes as the input to forecast the electric load in smart grid. Experimental results indicate that the proposed forecast method (FNNAR) has higher accuracy and less running time.
Structural Analysis of Unmanned Aircraft
Authors: García Sánchez Geovani Esaú  , Lira Martinez Manuel Alejandro  , Uribe Ramírez Alfonso  , Villagrana Noris Carlos  , Lira Mota Luis Alonso  , Ponce Vega Axel
Published: February 2025

The subject of the paper is to show an optimal aircraft's structure analysis made by students of UACJ using diverse software's such as MATLAB, SolidWorks, Ansys to model and calculate shear force, bending moment, moment of inertia, and all structure loads. The analysis includes wing's structure, fuselage's structure divided by three section, nose, central fuselage and tail, as well as tail assembly. Data in this research show methodologies and tools applied to accomplish the final design.
Time-Varying Formation Control and Collision Avoidance for Unmanned Aerial Vehicles Based on Position Estimation
Authors: Feng Yujie  , Wang Qing  , Dong Chaoyang
Published: February 2025

Time-varying formation control problems for unmanned aerial vehicle (UAV) systems based on position estimation are investigated. Firstly, a distributed formation controller based on the estimator is proposed using only relative state information of neighbors. The stability can be guaranteed by proper parameters and it can be proven that the control input is able to drive the UAVs to the predefined formation. Secondly, extra item for inner collision avoidance is added to the control strategy, and the stability can be proven by using common Lyapunov approach. Finally, numerical simulations are provided to illustrate the effectiveness of the theoretical results.
Research on Vehicle Navigation System Based on Low-Cost Sensors
Authors: Du Jiankui  , Tang Kanghua  , Hu Xiaoping
Published: February 2025

Although the vehicle navigation system based on GNSS/MIMU can effectively improve the reliability and precision of the single navigation system, its application is still restricted by many problems such as expensive equipment, unstable satellite signals and other issues. In order to solve these problems, a vehicle navigation system based on low-cost sensors is designed in this paper. Firstly, the hardware platform of vehicle navigation system based on microcontroller, low-precision MIMU and low-cost GNSS receiver is designed. Then, the model of sensor's error, navigation system's error and vehicle velocity constraint is analyzed, and a vehicle navigation algorithm with dual modes is proposed. When satellite signal is valid, the navigation system works at GNSS/SINS integrated navigation mode based on Kalman filter. While the GNSS is unable to provide navigation information the system switches to SINS mode with the constraint of vehicle velocity. Finally, the feasibility and practicability of vehicle navigation system designed in the paper is verified by vehicle test. The results show that the dynamic accuracy of horizontal position is better than 1.5 meters, the dynamic accuracy of horizontal attitude is better than 0.2 degrees, the dynamic accuracy of azimuth attitude is better than 1.5 degrees and the dynamic accuracy of velocity is better than 0.15 meters per second. In addition, this system can work on the situation of satellite short-term failure, so as to meet the requirements of vehicle navigation in changeable driving environment.
Behavior Support for Residents During Typhoon Based on Association Rule Mining
Authors: Takahashi Kyosuke  , Inomo Hitoshi  , Shiraki Wataru  , Okamoto Shiho
Published: February 2025

This study aims to develop an information system for providing decision support with regard to the behavior of residents during a typhoon. Typhoon disasters have relatively longer duration than earthquake disasters; therefore, the reinforcement of preventative measures can reduce the disaster's magnitude. In the event of a disaster, alarms are initiated and evacuation information is provided by disaster management organizations; however, human casualties and material damage still occur because of delays in taking appropriate action. For this reason, action trigger information is required. Such information will facilitate evacuation through processes familiar to the public. In this study, action trigger information for residents was extracted from damage data of past typhoon disasters. Action triggering information consists of typhoon-related damage occurrence relationships, which are established using association rule mining. Furthermore, an information system was developed for the purpose of supporting the behavior of residents in real-time, during the typhoon, by using the generated association rules and microblogging content. Several experiments were performed to confirm the validity of association rules and their applicability to real-time forecasting.
An Aspect-Based Unsupervised Approach for Classifying Non-Functional Requirements on Software Reviews
Authors: Wang Yinglin  , Zhang Jianzhang
Published: February 2025

This paper aims at demonstrating non-functional requirements analysis requirements analysis normally used supervised methods which need a lot of manual annotation work. Using unsupervised approaches to classify non-functional requirements can save a lot of labor and time, but the accuracy of the existing approaches is relatively low. In order to solve the dilemma, we propose a new clustering approach in this paper. The approach is an improved version of the previous aspect segmentation approach, but differs in terms of classification strategy, the representation of the review sentences, and the strategy for selecting new keywords. Experiments are conducted and compared on a software reviews dataset. Results show an improved performance of the new approach.
Consumers' attitudes towards product care: an exploratory study of motivators, ability factors and triggers
Authors: Ackermann L.  , Mugge R.  , Schoormans J.
Published: February 2025

To contribute to a more sustainable way of consumption, products should stay usable as long as possible. Therefore, it is necessary to take care of products. Product care should be understood as any action that helps prolonging the lifetime of a product, such as maintenance, repair etc. These product care activities can be conducted by the consumer or by a service. Our interview study helps to understand consumers' current product care behaviour towards products of different categories. Our study is based on Fogg's behaviour model, which states that motivation, ability and triggers have to be present at the same time to lead to certain behaviour. We were able to identify different motivators (e.g. pleasure, price, functionality), ability factors (e.g. tools, time and effort) and triggers (e.g. appearance triggers, social triggers) for product care. Based upon the findings of this study, strategies that enhance product care are suggested and relevant aspects for future research are proposed.
Conditional garment design for longevity
Authors: Gwilt A.  , Pal R.
Published: February 2025

In the clothing sector, approaches to design for longevity can provide the “…single largest opportunity to reduce the carbon, water and waste footprints of the clothing in the UK” (WRAP, 2013a). Although an emphasis lies on slowing consumption, the types of design-led approaches that can be used to achieve this goal are considerably varied yet sparingly used by the mainstream fashion industry. In light of the growth of a circular economy, the challenge facing the fashion industry is to adapt the existing product design and development model and explore a fashion system where other, more diverse design approaches can prosper. Thus, this paper attempts to contribute to this debate and further highlight factors that need to be considered by fashion companies when developing garments designed for longevity.
Open and closed loops: how to teach and get students to embrace circular design
Authors: Leube M.  , Walcher D.
Published: February 2025

Design schools, being the places were new products and services are invented and conceived are extremely important stakeholders in a much needed change towards sustainability. A circular economy is based on closed resource loops so that large volumes of finite resources (used by organizations), are captured and reused (Huber, 2000) as well as open approaches to innovation and information exemplified by the share economy and business models based on use rather than property. For the very spread of a circular economy as a concept to be successful, an open stream of information and ideas must be established. Design as a discipline needs to radically change its curriculum to help generate sustainable social and economic value and this paper is like a case-study of a curriculum that was changed from a linear to a more circular approach. In short, the authors believe that design schools – with their responsibility in educating students, who in turn shape the world of tomorrow- must move from teaching closed business models to teaching open and globally-linked ones. Another aim is to stress the importance of human factors- economical, psychological and evolutionary- in speeding up what Chesbrough calls a paradigmatic shift in innovation management (Chesbrough, 2006). Design students may be interested in greener design, but few adopt the necessary business models for such a design to be truly sustainable. In a circular economy, a business is forced “to take responsibility for the entire lives of their products” (Kleindorfer et al. 2005, S. 487).
The look of rough: visual and tactile perceptions of cosmetically aged materials
Authors: Manley A.H.G.  , Lilley D.  , Hurn K.  , Lofthouse V.
Published: February 2025

The aesthetics of material performance within design is typically only considered up to the point of sale, a false end state in which the ‘newness’ of the product is protected by the hermetic packaging in which it is sold. Beyond this, the ‘ageing’ of a material is thought of only in terms of utility or easily measured technical parameters such as durability or toughness, and rarely reflects upon, or accounts for, the user's experiential relationship with the material. Here, we explore changes in tactile and visual perceptions when sample materials have been artificially aged through the application of a taxonomy of damage observed from real world products. This paper argues that to expand our current knowledge in material culture and to assist in providing a more nuanced understanding of the user's long-term relationship with materials, we, as designers, need to observe, record and reflect upon attitudinal reactions to aged and used materials.
Improvement design in Portuguese wool lifecycle: ecological yarn collection
Authors: Morais C.  , Barragão V.
Published: February 2025

Wool is a light, comfortable, and durable fibre that forms a protective covering against both heat and cold. In Portugal, raising sheep, wool collection and production of yarn has been a domestic craft work for centuries, concentrated mainly in the East and South of the country, particularly in Serra da Estrela and Alentejo. The sorting and storage of wool is done by companies associated to “Merino” wool producers, however, this type of wool is only a small percentage of the country's total production. The country has many other varieties of wool but these may end up burned, which generating toxic waste, if they do not make it to the market to be sold. This paper presents a general approach, discussing the possibility to recover these remaining wool fibres that did not sell, through the manufacturing of artisanal and ecological yarn. This aims to promote animal welfare and ancestral spinning techniques and processes, practices from a long-nurtured Portuguese textile heritage. The practical experiment and study express concern over fast fashion, presenting points of interest for a slow product system, which may provide for a circular life cycle for products. The creator of eco-friendly yarns also represents an important role as a mediator and an interventionist in the garments design, thus creating value for the products and increasing material lifespan.
Taxonomy of design strategies for a circular design tool
Authors: Moreno M.A.  , Ponte O.  , Charnley F.
Published: February 2025

This paper presents the development of a circular design tool created from a taxonomy of design strategies related to circular economy aspects that emerged from an extensive literature review. The taxonomy was presented to 10 experts on circular economy and design through a survey to identify an importance factor that could guide product designers to rate different concepts. The taxonomy and their rates are presented in a circular design tool to help product designers to avoid uncertainty of which design concepts meets circular economy aspects. A pair of trainers are used as an example on how the circular design tool can be used. The paper discusses how the chosen design meets the identified circular design aspects and acknowledges that more trials with different product categories are needed to determine further areas of improvement. A larger survey is also suggested to develop a more accurate scoring system when it comes to rate each concept. The paper concludes that more detail guidelines are needed for product designers in their early career, so they can consider design for circular economy. In addition, the final remarks elucidate that future research is needed to cross-reference the circular design aspects with technical aspects of each product, new manufacturing technologies and materials.
Is there a market for refurbished toothbrushes? An exploratory study on consumers' acceptance of refurbishment for different product categories
Authors: Mugge R.  , Safari I.  , Balkenende R.
Published: February 2025

Refurbishment is the process of collecting used products, assessing their condition, and replacing and/or upgrading parts in order to resell them to other consumers. Although refurbishment is increasingly seen as both economically and environmentally advantageous, it remains questionable whether consumers will accept refurbishment as a viable alternative for all sorts of product categories. In-depth interviews among 18 participants were conducted in which participants were asked to sort 30 product categories on their likelihood to accept or reject a refurbished product from this category and to elaborate on their underlying motives for this. The results revealed the following reasons for either accepting or rejecting a refurbished product for a certain category: financial, functional quality, aesthetic quality, warranty, contamination, and personalisation. Based on the type of product category (e.g., hedonic vs. functional, high vs. low involvement), these reasons are either more or less important to consumers. When designing for refurbishment, designers need to tackle the relevant reasons for the specific category in their design process to stimulate consumers to accept refurbished products.
Decontaminating experiences with circular offerings
Authors: Baxter W.  , Aurisicchio M.  , Mugge R.  , Childs P.
Published: February 2025

Keeping a product offering in the system through continued use and between multiple users creates the potential for interactions which become contaminated. These contaminated interactions can cause a barrier to material circulation and extended product lifetimes. This study seeks to identify the underlying design strategies useful in addressing contaminated interaction. Strategies were identified through an exploration of possible solutions to negative contamination in two phases. Phase I involved identifying 70 existing solutions to instances of negative contaminated interaction and abstracting these to identify a more fundamental underlying principle. In Phase II, designers participated in a brainstorming session to identify as many solutions as possible to several contaminated interaction design briefs. The resulting 155 solutions were analysed together with the other data to generate a final set of strategies. In the end, eight strategies distilled from the analysis which are used to address contaminated interaction. The strategies represent preventative and responsive solutions applicable to various elements of the contamination process.
Understanding the societal, entrepreneurship and economic aspects of developing a circular economy in cities: a case study of coventry in the UK
Authors: Ouillon S.  , Dibb S.  , Peck D.
Published: February 2025

One of the points of agreement emerging from international environmental policy debates is that people's choices, behaviors and lifestyles will play a vital role in achieving sustainable development (Biwei, 2012; Fleischmann, 2016). There is strong evidence of the importance of a working Circular Economy (CE) to address sustainability challenges but there are different accounts and narratives in the CE literature which can cause confusion when trying to define and understand the concept. Urbanisation coupled with the fact that cities are resource inefficient (Agudela-Vera 2012) has given rise to the emergence of Circular Cities such as, Amsterdam but research to date has had a strong emphasis on the “supply side” (business, policy, science) with little attention being paid to the people or “demand side” (social, consumer). It would therefore be helpful to develop a better understanding of the role that citizens and not just City governments can play in a Circular City. To address this the paper uses an illustrative example of Coventry in the UK to examine the strategies and policy actions that drive CE relevant grass roots citizen driven practices and innovations. Through the lens of this example the paper provides insights into the role that citizens could play in developing Circular Cities through citizen driven innovation mechanisms such as social enterprise. The paper concludes that we are lacking sufficient socio-economic evidence of impact on the “demand side” and provides recommendations for further research into the social and citizen driven innovation aspects of CE relevant activities in cities.
Exploration of the ways of empowering people in the design process through product personalization for prolonged product lifetimes
Authors: Ozan E.  , Doğan Ç.
Published: February 2025

Product personalization has many potentials in extending product lifetimes and sustainable consumption, through strengthening the emotional bond between people and their products. In addition, production and post-use of products need to be considered in the design process to develop design solutions in line with sustainability principles. Product personalization is defined in the study as, a process during which a product's aesthetic and functional attributes are defined, adapted or modified by the user during design, use and post-use stages of the product lifespan. To increase a product's personal relevance to its user, during the process of personalization, user is involved as co-designer and co-maker of the product. In this study, product personalization is discussed within the local context via empowering local skills and knowledge and enabling the use of local materials and production techniques. The ways of enabling people in the design process through product personalization are explored via research through design approach. Firstly, a lighting design exploration is developed based on the design considerations emerge from the personalization and sustainability literature, and an online survey exploring people's reasons and methods of personalization. This design exploration is further developed through three generative sessions during which the participants personalize the design exploration, record and share their experiences in the personalization process, and thus theoretical ideas are refined. The results of the study reveal that, people's needs for personalization, their skills and motivation levels and ease of re-personalization during use phase need to be considered during design process, and these design considerations are interrelated.
Additive manufacturing for circular product design: a literature review from a design perspective
Authors: Sauerwein M.  , Bakker C.A.  , Balkenende A.R.
Published: February 2025

Circular product design is a relatively new approach to design suitable strategies to realize circular products. Additive manufacturing (AM) is seen as a promising enabling production process. It has digital and additive characteristics, which makes AM different from conventional production techniques. However, it is yet unclear how this technique can contribute to circular product design in practice. In this paper, a literature review is placed in context, i.e. the results of a literature review on sustainability opportunities in AM are compared to five typical design cases in a design review.
Planned obsolescence in the circular economy
Authors: Zeeuw van der Laan A.  , Aurisicchio M.
Published: February 2025

Objective: Ordinary Fast-Moving Consumer Goods (FMCGs) often thrive on implementing the planned obsolescence business strategy, i.e. controlling product lifetime through material selection. This wasteful and resource-depleting linear approach to production has resulted in goods that offer convenience along the lifetime of the consumable components, and are repurchased after disposal. Contemporary FMCGs have similar characteristics but different product-service systems (PSSs). The circular economy (CE) proposes PSSs as an opportunity to increase the circularity of resources. This paper investigates these PSSs implemented in contemporary FMCGs and reviews opportunities for the planned obsolescence strategy in the CE.
Electronic textiles and product lifetimes: exploring design strategies for product longevity
Authors: McLaren A.  , Hardy D.A.  , Hughes-Riley T.
Published: February 2025

Electronic textiles typically refer to textiles with integrated electronics (e-textiles) that can add additional functionality to a fabric or garment. Rapid growth in this area is on-going, with substantial benefits seen in sport, medicine and healthcare. Unfortunately, e-textiles can create environmental problems at the end of the product lifetimes due to the difficulties in separating electronics from textiles. The rapidly growing market for electronic textiles makes it increasingly important to find ways in which environmental impact can be minimized. Cross-disciplinary knowledge and understanding are essential to ensure environmental considerations are taken into account during the continuing development of e-textiles. This paper introduces the context of a workshop to prompt discussion on product lifetimes of electronic textiles, and strategies for improving the sustainability of this market. The workshop will include insights from a teardown of a piece of clothing with electronic functionality, giving the opportunity to find out what is inside an electronic textile and to discuss products that are being developed. The discrepancies in lifetimes of textiles, electronics and other components will be explored, along with discussion of methods of extending product lifetimes, reuse, recycling and disposing of products.
How to Document Ontology Design Patterns
Authors: Karima Nazifa  , Hammar Karl  , Hitzler Pascal
Published: February 2025

Ontology Design Patterns are reusable building blocks for ontology modelling. As such, Ontology Design Patterns need to be understood by the humans who use them for ontology engineering tasks. In order to make it easier for ontology engineers to understand a previously unknown Ontology Design Pattern, the quality of the documentation of the pattern plays a central role. However, the question how to document Ontology Design Patterns effectively has so far largely been neglected in the research literature. In this paper, we investigate the topic systematically. We discuss the results of three separate surveys to determine the central aspects of good documentation for Ontology Design Patterns. We find that the surveys, which were conducted independently of each other, by two separate groups, essentially agree on the importance of key aspects of documentation.
Complaint Ontology Pattern – COP
Authors: Santos Cristiana  , Pruski Cédric  , Da Silveira Marcos  , Rodriguez-Doncel Victor  , Gangemi Aldo  , Van der Torre Leon  , Casanovas Pompeu
Published: February 2025

In this chapter we present an ontology design pattern to conceptualize complaints, an important concept still uncovered by ODPs. The proposed Complaint Ontology Pattern (COP) has been designed based on the analysis of free text complaints from available complaint datasets (banking, air transport, automobile), among other knowledge sources. We present a detailed use-case from consumer disputes. We evaluate the pattern by annotating the complaints from our use case and by discussing how COP aligns to existing ontologies. Knowledge engineers can further model complaints for specific domains and processes, satisfying different requirements via COP specializations.
An Analytic Hierarchy Process (AHP) Group Decision Making Methodology for Imprecise Preferences
Authors: Lee Kathleen  , Jalao Eugene Rex
Published: February 2025

The Analytic Hierarchy Process (AHP) is a structured multiple criteria decision making (MCDM) tool in dealing with complex decision making or decisions involving several decision criteria, alternatives and decision makers (DM) with subjective and objective evaluations to come up with a decision. Since group decision making is a common scenario in business and the presence of collective wisdom can lead to better decisions, AHP has been extended to Group Decision Making (GDM). However, there exist limitations in the current AHP GDM algorithms such as the use of imprecise values in preference elicitation, subjective weights to assign for each DM and inferior decision making preferences maximization. Furthermore, existing methodologies in AHP-GDM addressed the lack of precise values by introducing interval judgment which limit the DMs in expressing their preferences. This paper presents a Non-Linear Programming (NLP) model that maximizes the preferences of the DM and maintaining an acceptable level of inconsistency in a GDM setting. It also provides a way to determine the weights to be assigned to each DM based on subjective and objective criteria.
Multiple Alignments of Data Objects and Generalized Center Star Algorithm
Authors: Shin Kilho  , Kuboyama Tetsuji  , Miyahara Tetsuhiro  , Tanaka Kenji
Published: February 2025

Multiple alignments of strings have been extensively studied as an effective tool to study string-type data such as DNA. In this paper, we generalize the notion of multiple alignments of strings and introduce-alignments.-alignments of components. Such objects can be strings, ordered and unordered trees, rooted and unrooted trees, directed and undirected graphs, partially ordered sets and so on. On the other hand, when we introduce costs of-alignments, the problem to find optimal-alignments that minimize their costs proves to be NP-hard. To solve known approximation algorithm for optimal multiple alignments of strings, can be generalized to-alignments. When we applied the generalized center star structural patterns of glycans that characterize the disease of leukemia.
Modeling of a Data Warehouse Based on ETL Process Performance
Authors: Brumen Boštjan  , Kovačić Goran
Published: February 2025

It is very difficult to make a choice between star and snowflake data warehouse schema. The topic is part of the broader dilemma in the data warehousing community: which approach to use, Kimball's or Inmon's. There are advocates for each approach, with fierce “war” still going on. However, very few empirical studies exist giving either side an advantage; in the past, the approaches were being selected based on the organizational, resource or goal-specific parameters. The goal of this case study was to examine which implementation of data warehouse will yield better results in the observed scenario – a data warehouse for monitoring of energy consumption in public buildings, from perspective of the ETL process. We implemented two versions of DW, one based on star and the other on the snowflake schema model, and measured the performance of the ETL process. Our goal was to find out if there is a difference in duration between two implementations, and if the difference exists, how it changes with increase of data in operational database. Series of tests were conducted to evaluate implemented solutions. Statistical analysis showed that, for the observed scenarios, implementation based on snowflake schema performs better: the ETL execution time is shorter and the size of DW is smaller. An important observation is that the target data warehouse size is linearly dependent on the amount of the operational data.
An Environmental-Semantic Computing System for Coral-Analysis in Water-Quality and Multi-Spectral Image Spaces with “Multi-Dimensional World Map”
Authors: Kiyoki Yasushi  , Chen Xing  , Veesommai Chalisa  , Sasaki Shiori  , Uraki Asako  , Koopipat Chawan  , Chawakitchareon Petchporn  , Hansuebsai Aran
Published: February 2025

Environmental-semantic space integration is a promising approach to realize deep analysis environmental phenomena and situations. The essential computation in environmental study is context-dependent-differential computation to analyze the changes of various situations (air, water, CO2, places of livings, sea level, coral area, etc.). It is important to realize global environmental computing methodology for analyzing difference and diversity of nature and livings in a context dependent way with a large amount of information resources in terms of global environments. In the design of environment-analysis systems, one of the most important issues is how to integrate several environmental aspects and analyze environmental data resources with semantic interpretations. In this paper, we present an environmental-semantic computing system. Our environmental-semantic computing system realizes integration and semantic-search among environmental-semantic spaces with water-quality and image databases. We have already presented a concept of “Semantic Computing System” for analyzing and interpreting environmental phenomena and changes occurring in the oceans and rivers in the world. We also introduce the concept of “SPA (Sensing, Processing and Analytical Actuation Functions)” for realizing a global environmental system, to apply it to Multi-dimensional World Map (5-Dimensional World Map) System. This concept is effective and advantageous to design environmental systems with Physical-Cyber integration to detect environmental phenomena as real data resources in a physical-space (real space), map them to cyber-space to make analytical and semantic computing, and actuate the analytically computed results to the real space with visualization for expressing environmental phenomena, causalities and influences. This paper presents integration and semantic-analysis methods for two environmental-semantic spaces with water-quality and image databases. We have implemented an actual space integration system for accessing environmental information resources with water-quality and image analysis. We clarify the feasibility and effectiveness of our method and system by showing several experimental results for environmental medical document databases.
An Ontology-Driven Elderly People Home Mobilization Approach
Authors: Karagiorgou Sophia  , Ntalaperas Dimitrios  , Vafeiadis Georgios  , Alexandrou Dimitrios  , Perakis Konstantinos  , Baltas Dimitrios  , Amza Claudiu  , Wanka Anna  , Freitag Hermine  , Blok Marije  , Kampel Martin  , De Rond Veerle  , Münzer Thomas  , Planinc Rainer
Published: February 2025

The use of virtual reality games, known as “exergaming”, is gaining more and more interest as a mobilization tool and as a key piece in the delivery of quality health, especially in elderly people. Mobility tracking of elderly people facilitates the extraction of useful spatiotemporal characteristics regarding their activities and behavior at home. Currently, the analysis of human mobility is based on expensive technologies. In this paper, we propose a semantic interoperability agent which exploits mobility tracking and spatiotemporal characteristics to extract human profiling and give incentives for mobilization at home. The agent exploits an extended ontology which facilitates the collation of evidence for the effects of exergaming on the movement control of older adults. In order to provide personalized monitoring services, a number of rules are individually defined to generate incentives. To evaluate the proposed semantic interoperability agent, human mobility data are collected and analyzed based on daily activities, their duration and mobility patterns. We show that the proposed agent is robust enough for activity classification, and that the recommendations for mobilization are accurate. We further demonstrate the agent's potential in useful knowledge inference regarding personalized elderly people home care.
A Framework for Semantic Discovery on the Web of Things
Authors: Charpenay Victor  , Käbisch Sebastian  , Kosch Harald
Published: February 2025

This paper addresses the problem of discovering Web of Things (WoT) agents, also known as servients, that can interact in a mediated or peer-to-peer fashion to form compound systems. We develop a frame-work that relies on the W3C Thing Description (TD) and Semantic Sensor Network (SSN) ontologies, which provide semantics for the physical world entities WoT servients are associated with.
Matching Domain and Top-level ontologies exploring Word Sense Disambiguation and Word Embedding
Authors: Schmidt Daniela  , Basso Rafael  , Trojahn Cassia  , Vieira Renata
Published: February 2025

Top-level ontologies play an important role in the construction and integration of domain ontologies, providing a well-founded reference model that can be shared across domains. While most efforts in ontology matching have been particularly dedicated to domain ontologies, the problem of matching domain and top-level ontologies has been addressed to a lesser extent. This is a challenging task in the field, specially due to the different levels of abstraction of these ontologies. This paper addresses this problem by proposing an approach that relies on existing alignments between WordNet and top-level ontologies. Our approach explores word sense disambiguation and word embedding models. We evaluate our approach in the task of matching DOLCE and SUMO top-level ontologies to ontologies from three different domains.