This chapter is examines the challenge of ontology matching in a grid environment in a scalable and high efficient way. For this, ontology matching approaches as well as grid computing are considered with the aim to present an approach for ontology matching on various resources. Hence, related approaches and tools are presented and discussed in order to provide an adequate background. Through t...

Ontology matching is a task that has attracted considerable attention in recent years. With very few exceptions, however, research in ontology matching has focused primarily on the development of monolingual matching algorithms. As more and more resources become available in more than one language, novel algorithms are required which are capable of matching ontologies which share more than one ...

A Multi-matching Technique for Combining Similarity Measures in Ontology Integration Ahmed Khalifa Alasoud, Ph.D. Concordia University, 2009 Ontology matching is a challenging problem in many applications, and is a major issue for interoperability in information systems. It aims to find semantic correspondences between a pair of input ontologies, which remains a labor intensive and expensive ta...

Semantic web is dependent on extensive knowledge management by inter linking resources on the web using matching techniques. This role is played by the progressing domain of ontology matching, by introducing ontology matching tools. The focus of these matching tools is limited to matching techniques and automation only, rather than expressive formal representation of alignments. We propose Medi...

The rapid growth of heterogeneous sources of massive ontology instances raises a scalability issue in ontology instance matching of semantic knowledge bases. In this paper, we propose an efficient method of instance matching by considering secondary classification of monotonic large instances to achieve scalability. We use a taxonomy of the ACM’s Computing Classification System (CCS) for second...

Due to the abundant growth of the semantic web massive amount of heterogeneous data’s are growing enormously. This problem of heterogeneity among the web resources can be resolved using various ontology matching techniques and systems. Ontology matching is a great way of solving the heterogeneity and interoperability issues among the web data’s that use different but related ontologies. Ontolog...