In this paper we propose an ontology matching paradigm based on the idea of harvesting
the Semantic Web, ie, automatically finding and exploring multiple and heterogeneous …

Ontology matching is critical for data integration and interoperability. Original ontology
matching approaches relied solely on the content of the ontologies to align. However, these …

This chapter studies ontology matching: the problem of finding the semantic mappings
between two given ontologies. This problem lies at the heart of numerous information …

A new paradigm in Semantic Web research focuses on the development of a new
generation of knowledge-based problem solvers, which can exploit the massive amounts of …

Ontologies are a formal, declarative knowledge representation model. They form a semantic
foundation for many domains, such as Web services, E-commerce, and the Semantic Web …

Recently, the number of ontology matching techniques and systems has increased
significantly. This makes the issue of their evaluation and comparison more severe. One of …

Ontology matching is a research area aimed at finding ways to make different ontologies
interoperable. Solutions to the problem have been proposed from different disciplines …

Ontologies proliferate with the progress of the Semantic Web. Ontology matching is an
important way of establishing interoperability between (Semantic) Web applications that use …

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 …

Despite serious research efforts, automatic ontology matching still suffers from severe
problems with respect to the quality of matching results. Existing matching systems trade-off …