In recent years, the decentralized development of ontologies has led to the generation of
multiple ontologies of overlap** knowledge. This heterogeneity problem can be tackled by …

The technique that enables the user and the automatic ontology matching tool to cooperate
with each other to generate high-quality alignments in a reasonable amount of time is …

Background We are currently facing a proliferation of heterogeneous biomedical data
sources accessible through various knowledge-based applications. These data are …

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 …

This paper presents and discusses the results of the KEPLER system for the 2018 edition of
the Ontology Alignment Evaluation Initiative (OAEI 2018). The implemented approach is …

In this paper we present AMALGAM, a matching approach to annotate tabular dataset with
the use of a knowledge graph, developed in the context of the Semantic Web Challenge on …

The proliferation of biomedical applications, which rely on different knowledge organization
systems, such as ontologies and thesauri raises the issue of the automated identification of …

We describe in this paper the ServOMBI system and the results achieved during the 2015
edition of the Ontology Alignment Evaluation Initiative. ServOMBI reuse components from …

ServOMap Results for OAEI 2013 Page 1 ServOMap Results for OAEI 2013 Amal
Kammoun1 and Gayo Diallo1 ERIAS, INSERM U897, University of Bordeaux, France first.last@isped.u-bordeaux2.fr …

Ontology alignment is gras** an increasing attention topic. Indeed, it is a palliating issue
to the heterogeneity problem that arises among the semantic web data. In this respect, a …