Pruning-based Identification of Domain Ontologies

dc.creatorVolz,Raphael
dc.creatorStuder,Rudi
dc.creatorMaedche,Alexander
dc.creatorLauser,Boris
dc.date2003
dc.date.accessioned2024-02-06T12:52:21Z
dc.date.available2024-02-06T12:52:21Z
dc.descriptionWe present a novel approach of extracting a domain ontology from large-scale thesauri. Concepts are identified to be relevant for a domain based on their frequent occurrence in domain texts. The approach allows to bootstrap the ontology engineering process from given legacy thesauri and identifies an initial domain ontology that may easily be refined by experts in a later stage. We present a thorough evaluation of the results obtained in building a biosecurity ontology for the UN FAO AOS project.
dc.formattext/html
dc.identifierhttps://doi.org/10.3217/jucs-009-06-0520
dc.identifierhttps://lib.jucs.org/article/28032/
dc.identifier.urihttps://openrepository.mephi.ru/handle/123456789/8347
dc.languageen
dc.publisherJournal of Universal Computer Science
dc.relationinfo:eu-repo/semantics/altIdentifier/eissn/0948-6968
dc.relationinfo:eu-repo/semantics/altIdentifier/pissn/0948-695X
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightsJ.UCS License
dc.sourceJUCS - Journal of Universal Computer Science 9(6): 520-529
dc.subjectontologies
dc.subjectpruning
dc.subjectknowledge management
dc.subjectstructural computing
dc.titlePruning-based Identification of Domain Ontologies
dc.typeResearch Article
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