NOVÁČEK, Vít, Maciej DABROWSKI, Sebastian R. KRUK and Siegfried HANDSCHUH. Extending Community Ontology Using Automatically Generated Suggestions. In Proceedings of FLAIRS 2007. Menlo Park, CA: AAAI Press, 2007, p. 290-295. ISBN 978-1-57735-319-5.
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Basic information
Original name Extending Community Ontology Using Automatically Generated Suggestions
Name in Czech Rozsirovani komunitnich ontologii pomoci automaticky generovanych navrhu
Authors NOVÁČEK, Vít (203 Czech Republic, guarantor, belonging to the institution), Maciej DABROWSKI (616 Poland), Sebastian R. KRUK (616 Poland) and Siegfried HANDSCHUH (276 Germany).
Edition Menlo Park, CA, Proceedings of FLAIRS 2007, p. 290-295, 6 pp. 2007.
Publisher AAAI Press
Other information
Original language English
Type of outcome Proceedings paper
Field of Study 10201 Computer sciences, information science, bioinformatics
Country of publisher Ireland
Confidentiality degree is not subject to a state or trade secret
RIV identification code RIV/00216224:14330/07:00040310
Organization unit Faculty of Informatics
ISBN 978-1-57735-319-5
Keywords in English ontology development; ontology extension; ontology learning
Tags ontology development, ontology extension, ontology learning
Tags International impact, Reviewed
Changed by Changed by: doc. Mgr. Bc. Vít Nováček, PhD, učo 4049. Changed: 26/4/2011 21:03.
Abstract
Ontologies represent a consensus of a group of people, usually domain experts, on certain topic; the larger the topic is, however, the harder it is to create and maintain the ontology. Sometimes collaborative environments do not come handy, and the ontology creation has to be supported with an automated process. In this paper we propose an ontology creation methodology based on integrating external ontologies into the one developed by a community of the domain experts. We present the MarcOntX agent, a service, which allows to automate the process of generating suggestions of changes to the ontology. The suggestions are inferred from the external sources, such as large corpora of documents or concepts introduced by the users of systems based on this ontology. We show the feasibility of our approach within two use case scenarios.
Abstract (in Czech)
Popis rozsirovani ontologii pomoci automaticky generovanych navrhu.
Links
1ET100300419, research and development projectName: Inteligentní modely, algoritmy, metody a nástroje pro vytváření sémantického webu
Investor: Academy of Sciences of the Czech Republic, Intelligent Models, Algorithms, Methods and Tools for the Semantic Web (realization)
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