Semantic Web Dog Food

Presented at: 5th European Semantic Web Conference (ESWC2008)

by Boontawee Suntisrivaraporn

The description logic EL+ has recently proved practically useful in the life science domain with presence of several large-scale biomedical ontologies such as SNOMED CT. To deal with ontologies of this scale, standard reasoning of classification is essential but not sufficient. The ability to extract relevant fragments from a large ontology and to incrementally classify it has become more crucial to support ontology design, maintenance and re-use. In this paper, we propose a pragmatic approach to module extraction and incremental classification for EL+ ontologies and report on empirical evaluations of our algorithms which have been implemented as an extension of the CEL reasoner.

Keywords: description logic, incremental classification, module extraction, ontology, Ontology (computer science), Ontology (Computer Science), Semantic Web, Web Ontology Language

Resource URI on the dog food server: http://data.semanticweb.org/conference/eswc/2008/paper/14
Same as: http://revyu.com/things/eswc-2008-paper-module-extraction-ontologies
Same as: http://semanticweb.org/id/Module_Extraction_and_Incremental_Classification-3A_A_Pragmatic_Approach_for_EL-2B_Ontologies

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