Paper Info
Title
Ontology matching method for efficient metadata integration
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.
Year
DOI
Venue
2010
10.1007/978-3-642-15470-6_12
AMT
Keywords
Field
DocType
ontology mapping browser,efficient metadata integration,single data format,single repository,data schema,efficient method,single queriable format,data level,ontology matching method,data source,semantic integration,management system,ontology matching,ontology mapping
Data integration,Ontology (information science),Ontology-based data integration,Metadata repository,Metadata,Information retrieval,Data element,Computer science,Data mapping,Synonym ring,Database
Conference
Volume
ISSN
ISBN
6335.0
0302-9743
3-642-15469-7
Citations 
PageRank 
References 
0
0.34
9
Authors
6
Name
Order
Citations
PageRank
Pyung Kim112911.64
Dongmin Seo24910.64
Mikyoung Lee35512.56
Seungwoo Lee436642.33
Hanmin Jung529355.28
Won-Kyung Sung614519.93