An Approach for Large Scale Schema Matching by using Ontology

Abstract

Schema Matching can be efficiently done by using ontology concepts. Ontology matching is one of the well known topics of Semantic Web research. With the development and the use of a huge variety of data (e.g. DB schemas, ontologies, taxonomies), in many domains (e.g. libraries, travelling, sports, medical fields, etc), Matching Techniques are attempted to overcome the challenge of reconciling these different interrelated representations. In this paper, we are interested in clustering web data sources for large scale schema matching approaches. We attempt to cover the problems of some hidden regularities and semantic conflicts over different representation of web databases. So, we use a same model representation of ontologies to tackle for all relational schemas for large scale semantic matching in our system.