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Using background knowledge and context knowledge in ontology mapping

Fatemi, H ; Sharif University of Technology | 2008

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  1. Type of Document: Article
  2. Publisher: IOS Press , 2008
  3. Abstract:
  4. Recent evaluations of mapping systems show that lack of background knowledge, most often domain specific knowledge, is one of the key problems of mapping systems these days. In fact, at present, most state of the art systems, for the tasks of mapping large ontologies, perform not with such high values of recall (~ 30%), because they mainly rely on label and structure based similarity measures. Disregarding context knowledge in ontology mapping is another drawback that almost all current approaches suffer from. In this paper we use the semantic web as background knowledge and introduce a novel approach for capturing context knowledge from the ontology for improving mapping results. We have successfully tested our approach with the public test cases of the Ontology Alignment Evaluation Initiative 2005 and achieved promising results. © 2008 The authors and IOS Press. All rights reserved
  5. Keywords:
  6. Reactor cores ; Semantic Web ; Back-ground knowledge ; Domain-specific knowledge ; Mapping systems ; Ontology alignment ; Ontology mapping ; State-of-the-art system ; Structure-based similarities ; Test case ; Mapping
  7. Source: Frontiers in Artificial Intelligence and Applications ; Volume 174, Issue 1 , 2008 , Pages 56-64 ; 09226389 (ISSN); 9781586038717 (ISBN)
  8. URL: https://dl.acm.org/doi/10.5555/1563875.1563883