Results 81 to 90 of about 618 (178)
RiMOM Results for OAEI 2015 [PDF]
, 2020 . This paper presents the results of RiMOM in the Ontology Alignment Evaluation Initiative (OAEI) 2015. We only participated in Instance Matching@OAEI2015.
Yan Zhang, Juanzi Li
core
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
openaire +2 more sources
Performance assessment of ontology matching systems for FAIR data. [PDF]
J Biomed Semantics, 2022 van Damme P +5 more
europepmc +1 more source
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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Clona Results for OAEI 2015 [PDF]
, 2020 . This paper presents the results of Clona in the Ontology Alignment Evaluation Initiative campaign (OAEI) 2015. We only participated in Multifarm track, since Clona develops specic techniques for aligning multilingual ontologies. We rst give an overview
Mariem El Abdi +3 more
core
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
doaj +1 more source
Analysis and implementation of the DynDiff tool when comparing versions of ontology. [PDF]
J Biomed Semantics, 2023 Diaz Benavides S +3 more
europepmc +1 more source
Matching Biomedical Ontologies via a Hybrid Graph Attention Network. [PDF]
Front Genet, 2022 Wang P, Hu Y.
europepmc +1 more source
LogMap Family Participation in the OAEI 2021 [PDF]
, 2021 We present the participation of LogMap and its variants in the OAEI 2021 campaign. The LogMap project started in January 2011 with the objective of developing a scalable and logic-based ontology matching system. This is the eleventh participation in the OAEI and the experience has so far been very positive.
openaire +2 more sources