18 résultats avec le mot-clé: 'sanom results for oaei'
In particular, SANOM has the highest recall rate among the participated systems in the confer- ence track, and is competitive with AML, the best performing system, in terms
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Figure 2: Comparison of alignment systems participated in OAEI 2017 on the anatomy track while the false correspondences are taken into account. 8 7 6 5 4 3
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SANOM is also competitive with LogMap on the anatomy track, which is the best performing system in this track with no usage of particular biomedical background knowledge.. SANOM
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This consequence of quasiregularity is usually proved via the funda- mental fact that quasiregular mappings are free extremals for certain variational integrals;
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Creemos que el hecho de presentar de esta manera a los grandes nombres literarios podría hacer que los alumnos se interesaran por ellos y que por sí mismos se acercaran a sus obras,
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La Coupe de France est un excellent moyen pour les athlètes tricolores de jauger leur préparation e pour le public d’assister à des épreuves de très haut niveau.. Les objectifs
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During our first participation in the OAEI cam- paign, POMap succeeded to be one of the top three performing systems in the Anatomy track.. In the remaining of this paper, we
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Extensional matcher In many situation, to-be-matched ontologies provide data (in- stances), therefore, the aim of Extensional module is to discover new mappings which are complement
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Especially in the Anatomy and Large Biomedical Ontologies tracks GOMMA’s techniques such as composition- based matching, parallel matching and blocking showed to be valuable for
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In test 202, although the identifiers of the entities were replaced by random strings and their labels and comments suppressed, ASMOV was still able to leverage other
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Zhishi.links we proposed here is an efficient and flexible instance matching system, which utilizes distributed framework to index and process semantic resources, and uses
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The similar neighbors filter uses the instance alignment (generated by the previous string processing step) to count for each instance correspondence how many resources or literals
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The interactions among different textual information are taken into considera- tion, which allows instances to be fine-grained divided. It also has the ability to infer indexes
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Some parameters are tuned and set in the experiments. We also define MF factor threshold as 0.9 to determine whether use WordNet based strategy instead of
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ASE (Aligning Smart Entities) is an automated ontology alignment tool based on AUTOMSv2 tool (http://ai-lab-webserver.aegean.gr/kotis/AUTOMSv2), a baseline tool we have
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Eff2Match takes as input the URI of a pair of ontologies to be aligned and matches entities (concepts or properties) in the source ontology to those in the target ontology...
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The algorithm uses a syntactic, structural, and (in the future) semantic metric to determine matching nodes, and takes advantage of the locality present in most ontologies by
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This year, AROA evaluates its performance on populated GeoLink and populated Enslaved benchmarks and achieves the best performance in terms of relaxed recall and relaxed f-measure
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