The amount of research papers published nowadays related to ontology matching is
remarkable and we believe that reflects the growing interest of the research community …

An ontology typically provides a vocabulary describing a domain of interest and a
specification of the meaning of terms in that vocabulary. Depending on the precision of this …

The ontology alignment consists in generating a set of correspondences between entities.
These entities can be concepts, properties or instances. The ontology alignment is an …

Ontology matching is a solution to the problem of semantic heterogeneity in the integration
and sharing of information. It consists in establishing mappings between entities which …

Ontology matching is an effective method to establish interoperability between
heterogeneous ontologies. Artificial neural networks are powerful computational models …

This chapter is an overview of matchers which have emerged during the last decades. There
have already been some comparisons of matching systems, in particular in (Parent and …

Ontology matching is a critical task in knowledge representation and integration, with
numerous applications in various domains. Deep learning methods have shown promising …

Software networks have the potential to take the network infrastructure to a more advanced
level, a level that can make the configuration autonomic. This ability can overcome the …

While semantic technologies and the use of ontologies is one of the proposed solutions to
the heterogeneity problem in database systems, the independent generation of ontologies …

The basic techniques presented in Chap. 5 and the global techniques provided in Chap. 6
are the building blocks on which a matching system is built. Once the similarity or …