Track Description
Knowledge management is of strategic importance to organisations. The effective management of knowledge tends to enhance an organisation’s potential for innovation, competitiveness, growth, and overall performance. The challenges and complexities in managing knowledge have long been recognised. Among these challenges is the ability to represent knowledge, with its underlying data/information, in ways that it accurately maps to real-world problem domains while providing a sound basis for integrating heterogenous knowledge content derived from increasingly disparate information systems.
Ontology is acknowledged by both the research and practitioner communities as an effective means of precise representation of reality as well as a facilitator of semantic integration and interoperability between information systems and the knowledge embedded within these systems. A key role is played by foundational ontologies which provide the theoretical, as well as the practical, basis to represent knowledge via common semantics and generalised patterns of representation.
Track Chairs
Sergio De Cesare, University of Westminster, United Kingdom
Tiago Prince Salles, University of Twente, The Netherlands
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Anna Sumereder, Faculty of Computer Science, Knowledge Engineering, University of Vienna, Vienna, Austria |
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Data Generation Based on Domain Ontology Bogumila Hnatkowska, Wroclaw University of Science and Technology, Wroclaw, Poland |
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Digital Capture of Design Heuristics to Represent Sustainability Knowledge in Product Design Gerald Kremer, Department of Industrial Information Technology, TU Berlin, Berlin, Germany |
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Framework Architecture Design for Emergency Response System Marco Ruiz Herrera, Department of Computer Systems and Computation, Universitat Politècnica de València, Valencia, Spain |
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Linking Rare and Popular Tags in CQA Sites Suryamukhi Kuchibhotla, Indian Institute of Technology Hyderabad, Telangana, India |
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Ontology-Based Dialogue System for Domain-Specific Knowledge Acquisition Vasile Ionut Iga, Business Informatics Research Center Babes-Bolyai University, Cluj-Napoca, Romania |
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Ontology-Based Digital Twin Framework for Smart Factories Snehal Walunj, German Research Center for Artificial Intelligence, Kaiserslautern, Germany |
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Ontology-Based Method for Analysis of Inconsistency Factors in Emotion Recognition Teresa Zawadzka, Faculty of Electronics, Telecommunications and Informatics and Digital Technologies Center, Gdansk University of Technology, Poland |