An effective method for ontology integration by propagating inconsistency

Trong Hai Duong, Sang Jin Cha, Geun Sik Jo

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

Ontology integration is an important task which needs to be performed when several information systems share or exchange knowledge. We consider that most of previous methods of ontology integration merely involve blind or exhaustive matching among all concepts belonging to different ontologies. Therefore, semantic mismatches, logical inconsistencies and conceptual conflicts between ontologies are unavoidable. Additionally, the computational complexity increases rapidly in integrating large ontologies. This research aims at investigating an effective methodology for ontology integration, in which, a propagating inconsistency algorithm has proposed to reduce complexity and mismatching in ontology integration. A reconciled algorithm is suggested to generate a best representation from conflict concepts. In evaluation, we compare our complexity of the algorithms and accuracy of the results with previous approaches'.

Original languageEnglish
Title of host publicationProceedings - 2nd International Conference on Knowledge and Systems Engineering, KSE 2010
Pages41-46
Number of pages6
DOIs
StatePublished - 2010
Event2nd International Conference on Knowledge and Systems Engineering, KSE 2010 - Hanoi, Viet Nam
Duration: 7 Oct 20109 Oct 2010

Publication series

NameProceedings - 2nd International Conference on Knowledge and Systems Engineering, KSE 2010

Conference

Conference2nd International Conference on Knowledge and Systems Engineering, KSE 2010
Country/TerritoryViet Nam
CityHanoi
Period7/10/109/10/10

Keywords

  • Ontology integration
  • Ontology mapping
  • Ontology matching

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