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An Approach for Large Scale Schema Matching by using Ontology

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dc.contributor.author Hlaing, Su Su
dc.contributor.author Kham, Nang Saing Moon
dc.date.accessioned 2019-08-06T12:39:47Z
dc.date.available 2019-08-06T12:39:47Z
dc.date.issued 2009-12-30
dc.identifier.uri https://onlineresource.ucsy.edu.mm/handle/123456789/1911
dc.description.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. en_US
dc.language.iso en en_US
dc.publisher Fourth Local Conference on Parallel and Soft Computing en_US
dc.title An Approach for Large Scale Schema Matching by using Ontology en_US
dc.type Article en_US

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