18 résultats avec le mot-clé: 'lily ontology alignment results for oaei'
To solve the matching problem without rich literal information, a similarity propagation matcher with strong propagation condition (SSP matcher) is presented, and the
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To solve the matching problem without rich literal information, a similarity propagation matcher with strong propagation condition (SSP matcher) is presented, and the
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In The 4th International Workshop on Ontology Matching, Washington Dc., USA (2009) [2] Peng Wang, Baowen Xu: Lily: Ontology Alignment Results for OAEI 2008.
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In The 4th International Workshop on Ontology Matching, Washington Dc., USA (2009) [2] Peng Wang, Baowen Xu: Lily: Ontology Alignment Results for OAEI 2008.
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(2) The similarity propagation strategy could compensate for the linguistic matching methods, and it can produce more alignments when ontologies lack of linguistic
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Thus if the given ontology does not contain the name of the ontological concepts and properties, the OntoDNA is not able to discover lexical similarity for resolving the
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Generic ontology matching method The similarity computation is based on the semantic subgraphs, which means all the information used in the simi- larity computation comes from
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SEMA combines lexical, semantic and structural matching algorithms: A semantic matching method exploiting Latent Dirichlet Allocation model (LDA) [3], requiring no
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Generic ontology matching method The similarity computation is based on the semantic subgraphs, which means all the information used in the simi- larity computation comes from
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Generic ontology matching method The similarity computation is based on the semantic subgraphs, which means all the information used in the simi- larity computation comes from
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This paper presents and discusses the results produced by the alignment systems MapPSO and MapEVO for the 2011 Ontology Alignment Evaluation Initiative (OAEI).. The two
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Ainsi depuis 1993, 41 jeunes gypaètes barbus (23 femelles, 18 mâles) ont été réintroduits dans les Alpes du sud au sein de deux parcs (Parc national du Mercantour et
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The ultimate goal is to incorporate methods that exploit different types of infor- mation available (lexical, semantic, structural) at various settings
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A novel Ontology Alignment Evaluation Initiative (OAEI) track, Ontology Alignment for Query Answering (OA4QA), introduced in the 2014 evaluation cam- paign, aims at bridging this gap
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• To conduct an extensive and rigorous evaluation of ontology matching approaches through the OAEI (Ontology Alignment Evaluation Initiative) 2009
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Lily has three main matching functions: (1) Generic Ontology Matching (GOM) is used for common matching tasks with normal size ontologies.. (2) Large scale
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• To conduct an extensive and rigorous evaluation of ontology matching approaches through the OAEI (Ontology Alignment Evaluation Initiative) 2013 campaign 2.. The particular focus
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The Ontology Alignment Evaluation Initiative(OAEI) is an international campaign for the systematic evaluation of ontology matching systems —software programs capable of finding
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