After years of research on ontology matching, it is reasonable to consider several questions:
is the field of ontology matching still making progress? Is this progress significant enough to …

Ontologies have become a popular means of knowledge sharing and reuse. This has
motivated the development of large-sized independent ontologies within the same or …

The purely manual specification of semantic correspondences between schemas is almost
infeasible for very large schemas or when many different schemas have to be matched …

The last decade of research in ontology alignment has brought a variety of computational
techniques to discover correspondences between ontologies. While the accuracy of …

Abstract The task of Named Entity Recognition (NER) is aimed at identifying named entities
in a given text and classifying them into pre-defined domain entity types such as persons …

User validation is one of the challenges facing the ontology alignment community, as there
are limits to the quality of automated alignment algorithms. In this paper we present a broad …

Ontology is the kernel technology of semantic web, which plays a prominent role for
achieving inter-operability across heterogeneous systems and applications by formally …

User validation is one of the challenges facing the ontology alignment community, as there
are limits to the quality of the alignments produced by automated alignment algorithms. In …

With a growing number of ontologies used in the semantic web, agents can fully make sense
of different datasets only if correspondences between those ontologies are known. Ontology …

The ontology matching is a significant task for data integration and semantic interoperability.
Although a large number of effective ontology matching methods have been proposed in a …