Ontology matching method for efficient metadata integration

Authors:
Pyung Kim;Dongmin Seo;Mikyoung Lee;Seungwoo Lee;Hanmin Jung;Won-Kyung Sung
Affiliations:
Knowledge Information Center, Korea Institute of Science and Technology Information, Korea;Knowledge Information Center, Korea Institute of Science and Technology Information, Korea;Knowledge Information Center, Korea Institute of Science and Technology Information, Korea;Knowledge Information Center, Korea Institute of Science and Technology Information, Korea;Knowledge Information Center, Korea Institute of Science and Technology Information, Korea;Knowledge Information Center, Korea Institute of Science and Technology Information, Korea
Venue:
AMT'10 Proceedings of the 6th international conference on Active media technology
Year:
2010

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Abstract

We describe an ontology matching method for efficient metadata integration in digital contents management system. This approach is using semantic integration methods in schema level but converts data from several data sources into a single queriable format in data level. Every data schema is represented by a ontology, and then the user generates mapping rules between metadata using the ontology mapping browser. Finally, all data are converted to a single data format and architecturally, this offers a tightly coupled approach because the data reside together in a single repository. In these processes, our study is providing user friendly and efficient methods to create relationships between metadata by semantic web technologies.