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Champion: Enrico Motta
Professor of Knowledge Technologies Email Icon Website Icon RDF Icon

Participant(s):Silvio Peroni, Mathieu d'Aquin

Timeline:18 Apr 2008

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KCE

Key Concept Extraction

KCE defines a groundbreaking approach to identifying the concepts in an ontology, which best summarize what the ontology is about. KCE makes use of a number of criteria, drawn from cognitive science, network topology, and lexical statistics to try and produce the kind of ontology summaries which human experts would come up with. Indeed a formal evaluation of the method has shown an excellent degree of correlation with the choices of the experts. While the generation of automatic methods for ontology summarization is an interesting research area in itself, KCE also provides a basis for novel approaches to a variety of ontology engineering tasks, including ontology matching, automatic classification, ontology modularization, and ontology

evaluation.

Publications

Publications | Visit External Site for Details  

Motta, E., Mulholland, P., Peroni, S., d'Aquin, M., Gomez-Perez, J., Mendez, V. and Zablith, F. (2011) A Novel Approach to Visualizing and Navigating Ontologies, International Semantic Web Conference, ISWC 2011, Bonn, Springer-Verlag

Publications | Download PDF Publications | Visit External Site for Details  

Motta, E., Peroni, S., Li, N. and d'Aquin, M. (2010) KC-Viz: A Novel Approach to Visualizing and Navigating Ontologies, Demo at The 17th International Conference on Knowledge Engineering and Knowledge Management (EKAW 2010), Lisbon, Portugal.

Publications | Download PDF Publications | Visit External Site for Details  

Peroni, S., Motta, E. and d'Aquin, M. (2008) Identifying key concepts in an ontology through the integration of cognitive principles with statistical and topological measures, Third Asian Semantic Web Conference, Bangkok, Thailand

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