Results 61 to 70 of about 201 (161)
OAEI 2017 results of KEPLER. [PDF]
CEUR Workshop Proceedings, 2017 This paper presents and discusses the results produced by KEPLER for the 2017 Ontology Alignment Evaluation Initiative (OAEI 2017). This method is based on the exploitation of three different strategy levels. The proposed alignment method KEPLER is enhanced by the integration of powerful treatments inherited from other related domains, such as ...
Kachroudi, Marouen +2 more
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Bayesian Evaluation and Comparison of Ontology Alignment Systems
IEEE Access, 2019 Ontology alignment systems are evaluated by various performance scores, which are usually computed by a ratio related directly to the frequency of the true positives.
Majid Mohammadi
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Legato: Results for OAEI 2017 [PDF]
, 2017 Legato is an automatic data linking system handling datasets containing blocks of highly similar in their descriptions but yet distinct resources, as well as resources with highly heterogeneous descriptions. This paper presents the results of Legato on the Instance Matching track of the Ontology Alignment Evaluation Initiative 2017 via the SEALS ...
Achichi, Manel +2 more
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CroMatcher - results for OAEI 2013 [PDF]
, 2013 CroMatcher is an ontology matching system based on terminological and structural matchers. The most important part of the system is automated weighted aggregation of correspondences produced by using different basic ontology matchers. This is the first year CroMatcher has been involved in the OAEI campaign. The results obtained this year will certainly
Vrdoljak, Boris, Gulić, Marko
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Performance assessment of ontology matching systems for FAIR data. [PDF]
J Biomed Semantics, 2022 van Damme P +5 more
europepmc +1 more source
CroMatcher - results for OAEI 2015 [PDF]
, 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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Automating OAEI campaigns (first report). [PDF]
, 2010 This paper reports the first effort into integrating OAEI and SEALS evaluation campaigns. The SEALS project aims at providing standardized resources (software components, data sets, etc.) for automatically executing evaluations of typical semantic web tools, including ontology matching tools.
Trojahn, Cássia +3 more
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Big Data Mining and AnalyticsBiomedical ontologies encapsulate the vast knowledge within the medical domain, facilitating communication and data exchange. However, the heterogeneity of these ontologies often impedes knowledge exchange, especially in large-scale biomedical ontologies.
Donglei Sun +5 more
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POMap results for OAEI 2017. [PDF]
, 2017 Ontology matching is an effective strategy to find the correspondences among different ontologies in a scalable and heterogeneous semantic web. In order to find these correspondences, a matching system should be built aiming to ensure the interoperability between the aligned entities.
Laadhar, Amir +5 more
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AROMA Results for OAEI 2008. [PDF]
, 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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