Results 81 to 90 of about 201 (160)

Legato: Results for OAEI 2017

, 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, Bellahsene, Zohra, Todorov, Konstantin   +2 more
openaire   +1 more source

YAM++ - Results for OAEI 2012

, 2012
The YAM++ system is a self configuration, flexible and extensible ontology matching system. YAM++ takes advantages of many techniques coming from different fields such as machine learning, information retrieval, graph matching, etc. in order to enhance the matching quality.
Ngo, Duy Hoa, Bellahsene, Zohra
openaire   +1 more source

YAM++ results for OAEI 2013

, 2013
In this paper, we briefly present the new YAM++ 2013 version and its results on OAEI 2013 campaign. The most interesting aspect of the new ver- sion of YAM++ is that it produces high matching quality results for large scale ontology matching tasks with good runtime performance on normal hardware configuration like PC or laptop without using any ...
Ngo, Duy Hoa, Bellahsene, Zohra
openaire   +1 more source

OAEI 2017 results of KEPLER

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, Diallo, Gayo, Ben Yahia, Sadok   +2 more
openaire   +1 more source

Large Language Models in Bio-Ontology Research: A Review. [PDF]

Bioengineering (Basel)
Manda P.
europepmc   +1 more source

RDF graph pair profile dataset for the data linking community. [PDF]

Data Brief
Conde Salazar R, Jonquet C, Symeonidou D.   +2 more
europepmc   +1 more source

Experiences from the anatomy track in the ontology alignment evaluation initiative. [PDF]

J Biomed Semantics, 2017
Dragisic Z, Ivanova V, Li H, Lambrix P.
europepmc   +1 more source

Matching biomedical ontologies based on formal concept analysis. [PDF]

J Biomed Semantics, 2018
Zhao M, Zhang S, Li W, Chen G.
europepmc   +1 more source

X−SOM Results for OAEI 2007

, 2016
This paper summarizes the results of the X-SOM tool in the OAEI 2007 campaign. X-SOM is an extensible ontology mapper that combines various matching algorithms by means of a feed-forward neural network. X-SOM exploits logical reasoning and local heuristics to improve the quality of mappings while guaranteeing their consistency.
Curino, C, Orsi, G, Tanca, L
openaire   +1 more source