| 한글제목(Korean Title) |
Boosting the Reasoning-Based Approach by Applying Structural Metrics for Ontology Alignment |
| 영문제목(English Title) |
Boosting the Reasoning-Based Approach by Applying Structural Metrics for Ontology Alignment |
| 저자(Author) |
Abderrahmane Khiat
Moussa Benaissa
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| 원문수록처(Citation) |
VOL 13 NO. 04 PP. 0834 ~ 0851 (2017. 08) |
한글내용
(Korean Abstract) |
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영문내용
(English Abstract) |
The amount of sources of information available on the web using ontologies as support continues to increase and is often heterogeneous and distributed. Ontology alignment is the solution to ensure semantic interoperability. In this paper, we describe a new ontology alignment approach, which consists of combining structure-based and reasoning-based approaches in order to discover new semantic correspondences between entities of different ontologies. We used the biblio test of the benchmark series and anatomy series of the Ontology Alignment Evaluation Initiative (OAEI) 2012 evaluation campaign to evaluate the performance of our approach. We compared our approach successively with LogMap and YAM systems. We also analyzed the contribution of our method compared to structural and semantic methods. The results obtained show that our performance provides good performance. Indeed, these results are better than those of the LogMap system in terms of precision, recall, and F-measure. Our approach has also been proven to be more relevant than YAM for certain types of ontologies and significantly improves the structure-based and reasoningbased methods.
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| 키워드(Keyword) |
Description Logics Inference
Intra-Taxonomy Measures
Ontology Alignment
Semantic Interoperability
Semantic Web
Structural Similarity
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| 파일첨부 |
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