18 résultats avec le mot-clé: 'synthesis results ontology alignment evaluation initiative oaei'
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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• To conduct an extensive and rigorous evaluation of ontology matching approaches through the OAEI (Ontology Alignment Evaluation Initiative) 2009
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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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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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• 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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• To conduct an extensive and rigorous evaluation of ontology matching approaches through the OAEI (Ontology Alignment Evaluation Initiative) 2011 campaign 2.. The particular focus
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• To conduct an extensive and rigorous evaluation of ontology matching approaches through the OAEI (Ontology Alignment Evaluation Initiative) 2012 campaign 2.. The particular focus
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• To conduct an extensive and rigorous evaluation of ontology matching and instance matching (link discovery) approaches through the OAEI (Ontol- ogy Alignment Evaluation
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This year, 6 matching systems registered for the MultiFarm track: AML, DOME, EVOCROS, KEPLER, LogMap and XMap. However, a few systems had issues when evaluated: i) KEPLER generated
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D) Based on the uncertain reference alignment from the conference track we conclude that many more matchers provide alignments with a range of confidence values than in the past
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In order to give dependable precision results within the time span of the campaign given a limited number of assessors we performed a combination of semi- automatic evaluation
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As a general comment, we can conclude that all the four systems participating in this edition of the instance matching track obtained good results, both in terms of pre- cision
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Starting from the experience of previous editions of the instance matching track in OAEI [15], this year we provided a set of RDF-based test cases, called RDFT, that is
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D) Based on the uncertain reference alignment from the conference track we conclude that many more matchers provide alignments with a range of confidence values than in the past
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This year, 6 matching systems registered for the MultiFarm track: AML, DOME, EVOCROS, KEPLER, LogMap and XMap. However, a few systems had issues when evaluated: i) KEPLER generated
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We have seriously implemented the promises of last year with the provision of the first automated service for evaluating ontology matching, the SEALS evaluation service, which has
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In terms of GeoLink test cases, the real-world instance data from GeoLink Project is also populated into the ontology in order to enable the systems that depend on instance-
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