Ontology matching is an integral part for establishing semantic interoperability. One of the
main challenges within the ontology matching operation is semantic heterogeneity, ie …

The amount of multilingual data on the Web proliferates; therefore, develo** ontologies in
various natural languages is attracting considerable attention. In order to achieve semantic …

Recently, the multilingualism issue has attracted considerable attention in the ontology
matching field. Designed for this purpose, the SimCat system uses the Yandex translator …

As the Web is multilingual and more and more web-based applications use ontologies in the
latest years, map** multilingual ontologies have become more and more important for the …

The schema matching task is an integral part of the data integration process. It is usually the
first step in integrating data. Schema matching is typically very complex and time …

Ontology matching systems commonly leverage linguistic metrics to establish map**s
between entities within the ontologies undergoing alignment. However, due to the absence …

Cross-language alignment between ontologies is relevant for the interoperability of systems
in specific domains, such as in the life science domain. Although the literature has proposed …

Schema matching is an integral part within the data integration process. One of the main
challenges within the schema matching operation is semantic heterogeneity, ie modeling …

Les besoins fonctionnels et non fonctionnels représentent la première brique pour la
conception de toute application, logiciel, système, etc. L'ensemble des traitements associés …

The evolution of semantic structured data, such as those behind the deep web or
socialnetworks, requires map** between sources to enable a high level integration. Sev …