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Please use this identifier to cite or link to this item: http://nbn-resolving.de/urn:nbn:de:hebis:34-2009040826883

Title: Ontology merging with formal concept analysis
Authors: Stumme, Gerd
???metadata.dc.subject.swd???: Formale BegriffsanalyseOntologie <Wissensverarbeitung>
???metadata.dc.subject.ddc???: 004 - Informatik (Data processing Computer science)
Issue Date: 2005
Abstract: Ontologies have been established for knowledge sharing and are widely used as a means for conceptually structuring domains of interest. With the growing usage of ontologies, the problem of overlapping knowledge in a common domain becomes critical. In this short paper, we address two methods for merging ontologies based on Formal Concept Analysis: FCA-Merge and ONTEX. --- FCA-Merge is a method for merging ontologies following a bottom-up approach which offers a structural description of the merging process. The method is guided by application-specific instances of the given source ontologies. We apply techniques from natural language processing and formal concept analysis to derive a lattice of concepts as a structural result of FCA-Merge. The generated result is then explored and transformed into the merged ontology with human interaction. --- ONTEX is a method for systematically structuring the top-down level of ontologies. It is based on an interactive, top-down- knowledge acquisition process, which assures that the knowledge engineer considers all possible cases while avoiding redundant acquisition. The method is suited especially for creating/merging the top part(s) of the ontologies, where high accuracy is required, and for supporting the merging of two (or more) ontologies on that level.
URI: urn:nbn:de:hebis:34-2009040826883
???metadata.dc.description.everything???: Auch erschienen in: Kalfoglou, Yannis u.a. (Hrsg.): Semantic interoperability and integration. Dagstuhl Seminar 04391, September 19-24, 2004. Wadern : Internat. Begegnungs- und Forschungszentrum für Informatik, 2005
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