Results 71 to 80 of about 201 (160)
, 2015 The paper presents a novel technique for aligning cross-lingual ontologies that does not rely on machine translation, but uses the large multilingual semantic network BabelNet as a source of background knowledge. In addition, our approach applies a novel orchestration of the components of the matching workflow.
Tigrine, Abdel Nasser +2 more
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CroMatcher - results for OAEI 2015
, 2015 CroMatcher is an ontology matching system based on parallel composition of basic ontology matchers. There are two fundamental parts of the system: first, automated weighted aggregation of correspondences produced by different basic matchers in the parallel composition ; second, an iterative final alignment method. This is the second time CroMatcher has
Vrdoljak, Boris +2 more
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AUTOMSv2 Results for OAEI 2012
CEUR Workshop Proceedings, 2012 This paper presents AUTOMSv2 effort towards building a tool for the automated alignment of domain ontologies. The developed tool is a result of our motivation to rebuild AUTOMS tool (presented in OAEI 2006) by putting together a) a well-known, widely used and continuously evolving/maintained alignment framework b) the synthesis of state-of-the-art ...
Katasonov Artem +2 more
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A Simple Standard for Sharing Ontological Mappings (SSSOM). [PDF]
Database (Oxford), 2022 Matentzoglu N +43 more
europepmc +1 more source
, 2009 This paper presents the results obtained by AROMA for its second participation to OAEI. AROMA is an hybrid, extensional and asymmetric ontology alignment method that makes use of the association paradigm and a statistical interestingness measure, the implication intensity.
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LogMap family participation in the OAEI 2017 [PDF]
, 2017 We present the participation of LogMap and its variants in the OAEI 2017 campaign. The LogMap project started in January 2011 with the objective of developing a scalable and logic-based ontology matching system. This is our seventh participation in the OAEI and the experience has so far been very positive.
Jimenez-Ruiz, E., Grau, B. C., Cross, V.
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Biomedical Vocabulary Alignment at Scale in the UMLS Metathesaurus. [PDF]
Proc Int World Wide Web Conf, 2021 Nguyen V, Yip HY, Bodenreider O.
europepmc +1 more source
Heterogeneity Management Using OAEI Benchmark Dataset
International Journal of Engineering & Technology, 2018 The evolution of ontologies and itsapplications are in various fields like artificial intelligence, reasoning, philosophy, biological science, and medical field. The components of ontologiesare concepts, instance, relationships, constraints, axioms and inference mechanism. Ontology is a main source for enabling interoperability in the semantic web.
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Context-Enriched Learning Models for Aligning Biomedical Vocabularies at Scale in the UMLS Metathesaurus. [PDF]
Proc Int World Wide Web Conf, 2022 Nguyen V +7 more
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, 2008 This paper presents the results obtained by AROMA for its first participation to OAEI. AROMA is an hybrid, extensional and asymmetric ontology alignment method which makes use of the association paradigm and a statistical interstingness measure, the implication intensity.
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