Semantic database modeling: survey, applications, and research issues
ACM Computing Surveys (CSUR)
A philosophical basis for knowledge acquisition
Knowledge Acquisition
Toward principles for the design of ontologies used for knowledge sharing
International Journal of Human-Computer Studies - Special issue: the role of formal ontology in the information technology
Ontologies for conceptual modeling: their creation, use, and management
Data & Knowledge Engineering
The Description Logic Handbook
The Description Logic Handbook
Reducing OWL entailment to description logic satisfiability
Web Semantics: Science, Services and Agents on the World Wide Web
Towards an Ontology for Describing Emotions
WSKS '08 Proceedings of the 1st world summit on The Knowledge Society: Emerging Technologies and Information Systems for the Knowledge Society
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Ontology is built to establish a classification and conceptualization in knowledge disciplines. With the support of ontology technologies, users can retrieve information in a semantic manner. A primary course of ontology building is concepts development. Typical concept constructing approaches are usually consulting experts or analyzing documents. However, ontology-based systems usually do not allowed user involvement during developing ontology. To acquire expertise from users, this study utilizes Kansei Engineering to translate human emotions such as perception, feeling, or impression of things into the design elements of ontology concepts. The new design ontology then depends upon user-centric conceptual structure. This study particularly interests in archiving photos by employing ontology with user involvement. Empirical lessons show user involvement can reduce the gap in defining concepts between experts and users.