{"title":"A Knowledge Graph Approach for Exploratory Search in Research Institutions","authors":"Tim Schopf, Nektarios Machner, Florian Matthes","doi":"10.5220/0012223800003598","DOIUrl":"https://doi.org/10.5220/0012223800003598","url":null,"abstract":"Over the past decades, research institutions have grown increasingly and consequently also their research output. This poses a significant challenge for researchers seeking to understand the research landscape of an institution. The process of exploring the research landscape of institutions has a vague information need, no precise goal, and is open-ended. Current applications are not designed to fulfill the requirements for exploratory search in research institutions. In this paper, we analyze exploratory search in research institutions and propose a knowledge graph-based approach to enhance this process.","PeriodicalId":133533,"journal":{"name":"International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management","volume":"26 1","pages":"265-270"},"PeriodicalIF":0.0,"publicationDate":"2023-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139231408","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Multidimensional Fairness in Paper Recommendation","authors":"Reem Alsaffar, Susan Gauch, Hinab Al-Kawaz","doi":"10.48550/arXiv.2305.01141","DOIUrl":"https://doi.org/10.48550/arXiv.2305.01141","url":null,"abstract":"To prevent potential bias in the paper review and selection process for conferences and journals, most include double blind review. Despite this, studies show that bias still exists. Recommendation algorithms for paper review also may have implicit bias. We offer three fair methods that specifically take into account author diversity in paper recommendation to address this. Our methods provide fair outcomes across many protected variables concurrently, in contrast to typical fair algorithms that only use one protected variable. Five demographic characteristics-gender, ethnicity, career stage, university rank, and geolocation-are included in our multidimensional author profiles. The Overall Diversity approach uses a score for overall diversity to rank publications. The Round Robin Diversity technique chooses papers from authors who are members of each protected group in turn, whereas the Multifaceted Diversity method chooses papers that initially fill the demographic feature with the highest importance. We compare the effectiveness of author diversity profiles based on Boolean and continuous-valued features. By selecting papers from a pool of SIGCHI 2017, DIS 2017, and IUI 2017 papers, we recommend papers for SIGCHI 2017 and evaluate these algorithms using the user profiles. We contrast the papers that were recommended with those that were selected by the conference. We find that utilizing profiles with either Boolean or continuous feature values, all three techniques boost diversity while just slightly decreasing utility or not decreasing. By choosing authors who are 42.50% more diverse and with a 2.45% boost in utility, our best technique, Multifaceted Diversity, suggests a set of papers that match demographic parity. The selection of grant proposals, conference papers, journal articles, and other academic duties might all use this strategy.","PeriodicalId":133533,"journal":{"name":"International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128811696","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
S. N. O. Devine, Dr. Emmanuel Kolog Awuni, E. Sutinen, I. Sääksjärvi
{"title":"Knowledge-based Service for African Traditional Herbal Medicine: A Hybrid Approach","authors":"S. N. O. Devine, Dr. Emmanuel Kolog Awuni, E. Sutinen, I. Sääksjärvi","doi":"10.5220/0007946400450055","DOIUrl":"https://doi.org/10.5220/0007946400450055","url":null,"abstract":"Globally, the acceptance and use of herbal and traditional medicine is on the rise. Africa, especially Ghana, has its populace resorting to African Traditional Herbal Medicine (ATHMed) for their healthcare needs due to its potency and accessibility. However, the practice involving its preparation and administration has come into question. Even more daunting is the poor and inadequate documentation covering the preservation and retrieval of knowledge on ATHMed for long-term use, resulting in invaluable healthcare knowledge being lost. Consequently, there is the need to adopt strategies to help curtail the loss of such healthcare knowledge, for the benefit of ATHMed stakeholders in healthcare delivery, industry and academia. This paper proposes a hybrid-based computational knowledge framework for the preservation and retrieval of traditional herbal medicine. By the hybrid approach, the framework proposes the use of machine learning and ontology-based techniques. While reviewing literature to reflect the existing challenges, this paper discusses current technologies suited to approach them. This results in a framework that embodies an ontology driven knowledge-based system operating on a semantically annotated corpus that delivers a contextual search pattern, geared towards a formalized, explicit preservation and retrieval mechanism for safeguarding ATHMed knowledge.","PeriodicalId":133533,"journal":{"name":"International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management","volume":"93 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130994327","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Distributed Data Validation for a Key-value Store in a Decentralized Electric Vehicle Charging Network","authors":"Benedikt Kirpes, Micha Roon, Christopher Burgahn","doi":"10.5220/0008363703560363","DOIUrl":"https://doi.org/10.5220/0008363703560363","url":null,"abstract":"The mobility sector experiences a fundamental shift to more connected, autonomous, shared and electric means of transportation. For an electric mobility system to function, an efficient and reliable electric vehicle charging network is required. The Open Charging Network, which is built and curated by the Share&Charge Foundation is a digital, open and decentralized infrastructure for operating and connecting assets of the e-mobility ecosystem like charge points and electric vehicles. In such a network validity and consistency of data are crucial. Since the underlying information system is designed based on distributed ledger technologies and distributed hash tables, also the validation of data for the respective key-value store should be implemented and executed in a distributed manner. In this paper, we contribute to the body of research by analyzing the current situation in distributed systems and presenting the design and development of a mechanism for a distributed data validation. We provide an outlook into the future implementation within the Open Charging Network, where the solution will be demonstrated in a suitable context. Further it will be evaluated regarding the primary requirement of data validity and secondary requirements such as availability, reliability and scalability.","PeriodicalId":133533,"journal":{"name":"International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management","volume":"466 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115683231","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Generation of Task Models from Observed Usage Application to Web Browsing Assistance","authors":"Karim Sehaba, Benoît Encelle","doi":"10.5220/0008068300740082","DOIUrl":"https://doi.org/10.5220/0008068300740082","url":null,"abstract":"This work focuses on the extraction of knowledge from observed usage. More specifically, it aims to design a Web browsing assistance system that helps the user in carrying out his browsing task, or the designer in adapting or redesigning his Web application, according to real usage. The proposed approach consists of generating task models from interaction traces, which are then used to perform assistance. The characteristics to be supported by a task metamodel for assistance purposes are first identified and then confronted with the characteristics of existing task metamodels. This first study led us to choose the ConcurTaskTrees (CTT) metamodel. We then developed processes to generate CTT task models from traces. Finally, to validate our approach, we conducted unit testing and validation based on two real web browsing scenarios.","PeriodicalId":133533,"journal":{"name":"International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management","volume":"596 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123073053","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Noospheric Way of Organizing Knowledge in the Knowledge Bases of Innovate Importance","authors":"Yurii Pikalov","doi":"10.5220/0008347302500257","DOIUrl":"https://doi.org/10.5220/0008347302500257","url":null,"abstract":"A major part of the flow of new knowledge is knowledge about facts. Its value is inversely proportional to the increasing amount. It can be enhanced by the way of conceptualization of knowledge, developing and applying the innovative ways of its organization. It is suggested to use the way of organizing knowledge based on the model of cognition of objects as spheres of phenomena; convergence of the sphere of natural and conscious phenomena, models of phylogenesis (Paradigm Innovative Development) and ontogenesis (Vertical Integration and Parabola of Knowledge) of knowledge as well as based on the paradigm of the ontology of sign constructions. The above-listed tools have been obtained as a result of studies of M.V. Polyakov’s scientific school, and they have been adapted by the author of the paper to develop architecture of the knowledge bases functioning as a part of innovative systems of venture enterprises.","PeriodicalId":133533,"journal":{"name":"International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127533538","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Assist the Sustainable Development within Industries through the Territorial Knowledge Ontology","authors":"A. Ezoji, N. Matta","doi":"10.5220/0008165201020112","DOIUrl":"https://doi.org/10.5220/0008165201020112","url":null,"abstract":"Studying of territory as the main dimension of sustainability impact in the industrial activities and decision makers’ information when considering the sustainability in their activities. Therefore, exploring of territorial knowledge in order to integrate into industries activates is needed. So, this research is proposed a descriptive ontology for territorial knowledge (DOTK) which make explicit the knowledge of actors within industries about the sustainable development goal. Also, implementation of this ontology to a real case is proved that it can identify the intangible and tangible resources of territory for sustainability. Moreover, a semantic graph is proposed which shows the relationships between entities of DOTK ontology. Final validation of DOTK ontology is performed by the interview with the organizations of sustainable development implementation.","PeriodicalId":133533,"journal":{"name":"International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121201142","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ching Seng Yap, Rizal Ahmad, F. T. Newaz, Cordelia Mason
{"title":"Enhancing the Use of Government Mobile Applications: The Perspective of Citizen-initiated Contacts Theory","authors":"Ching Seng Yap, Rizal Ahmad, F. T. Newaz, Cordelia Mason","doi":"10.5220/0008347602580263","DOIUrl":"https://doi.org/10.5220/0008347602580263","url":null,"abstract":"The ubiquity of the Internet and mobile technologies has increased the adoption rate of e-government services in Malaysia. The focus of Malaysian e-government initiatives is now shifting to mobile applications. Selected visits done on portals of government mobile applications indicate a low level of use, which suggests the need to identify factors that affect the use and non-use of government mobile applications. The citizen-initiated contacts theory can be useful in explaining active usage behaviours and making citizens to initiate contacts with the governments. Extensive studies have been done on citizens’ needs for government services and their awareness of the availability of various methods of contacting the government such as through government office visits, telephone calls, and government websites and portals. Unfortunately, similar studies on the use of government mobile applications by citizens are relatively scarce. Studies on the needs for government services and awareness of citizens of government mobile applications will enable us to understand factors contributing to increasing the adoption rate of the mobile applications. This study is timely as it aims at identifying the profile of users and non-users in terms of their socioeconomic characteristics and examining potential influences of perceived needs, perceived security, and awareness on the use of government mobile applications. Using quota sampling technique, primary data will be collected from 400 citizens (200 users and 200 non-users of government mobile applications) in Malaysia via a questionnaire survey. It is hoped that this research will contribute to e-government and m-government literature, from the perspective of citizen-initiated contacts theory, and provide useful implications for government policy in enhancing the use of government mobile applications.","PeriodicalId":133533,"journal":{"name":"International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121701533","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Elaboration of a Domain Model for Migrating the Monolithic Software Architecture of a Data Management Server into a Microservice Architecture","authors":"Christian Zaschke","doi":"10.5220/0008319402120218","DOIUrl":"https://doi.org/10.5220/0008319402120218","url":null,"abstract":"This paper presents the necessary steps for creating a useful domain model for the Coalition Shared Data (CSD) domain. After describing the basic procedure of creating a domain model following the principles of domain-driven design (DDD) some concrete results achieved and experiences gained throughout this process are depicted. The domain model is the backbone for further development activities to migrate the monolithic software architecture of an existing data management server into a loosely coupled one according to the principles of microservice architectures. Major challenges with the creation of such a domain model and the benefits of loosely coupled software components in the CSD environment are outlined.","PeriodicalId":133533,"journal":{"name":"International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125668848","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A CBR MAC/FAC Approach for Cloud Management","authors":"Eric Kübler, Miriam Herold, Mirjam Minor","doi":"10.5220/0008165001200129","DOIUrl":"https://doi.org/10.5220/0008165001200129","url":null,"abstract":"In modern working world, efficiency is important. This includes the execution of workflows. Cloud computing offers is costumers, pay as you go pricing models which can be used to improve the cost efficiency of workflows execution. To benefit form this pricing model, a smart cloud management concept to assign tasks to cloud resources is required. Simple solutions struggle with over-, and under-provisioning problems or lack the needed flexibility. In this paper we present our CBR approach with MAC/FAC similarity function and experiments for task placements in cloud computing. Therefore we implemented a prototype and compared the results with the results of human experts.","PeriodicalId":133533,"journal":{"name":"International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management","volume":"216 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134187936","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}