From database to semantic web ontology: an overview
Abstract
This paper intends to provide an overview of automated knowledge extraction and transformation from relational databases and their related sources into Semantic Web ontologies. Issues and challenges in this area are addressed. Knowledge embedded in each part of a relational database is analysed and defined. Corresponding techniques for extracting, acquiring and transforming the knowledge are highlighted. In this paper, we classify previous approaches on this work into two types. A comparison table of the first type of approach is also given.
Citation
Zhao, Shuxin and Chang, Elizabeth. 2007. From database to semantic web ontology: an overview, in Meersman, R. and Tari, Z. and Herrero, P. (ed), Proceedings of the On the Move to Meaningful Internet Systems 2007: OTM 2007 Workshops, pp. 1205-1214, Nov 25-30 2007. Vilamoura, Portugal.
Source Title
On the Move to Meaningful Internet Systems 2007: OTM 2007 Workshops
Faculty
Curtin Business School
School of Information Systems
School
Centre for Extended Enterprises and Business Intelligence
Remarks
The original publication is available at http://www.springerlink.com
Collection
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