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  1. University of Information Technology
  2. Faculty of Information Science

Formalization of Direct Mapping for Relational Data to Semantic Web Representation

http://hdl.handle.net/20.500.12678/0000005367
http://hdl.handle.net/20.500.12678/0000005367
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a602e07c-e0e7-4ea7-960e-9ec1d41268e1
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Formalization Formalization of Direct Mapping for Relational Data to Semantic Web Representation.pdf (213 Kb)
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Conference paper
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Publication
Title
Title Formalization of Direct Mapping for Relational Data to Semantic Web Representation
Language en
Publication date 2012-02-28
Authors
Kyawt Kyawt San
Khin Nweni Tun
Description
The Web is one of the most popular and richest sources of information. The source of data for a Web page is generally a relational database which has been recognized as a key factor in generating huge amounts of data for semantic web applications. Relational databases and the Semantic Web, in particular RDF as its main data representation format, are two different approaches for modeling and storing data permanently. To be accessible data from these relational databases, we have to map relational data to RDF. In addition, extracting knowledge, transforming and understanding data from tables are the interesting problems in the areas of databases. The problem of mapping databases to RDF has received formal attention from the World Wide Web Consortium (W3C). When mapping relational databases into RDF, we can choose mappings which preserve relational constraints and still use the linking capabilities of RDF. Which approach is the most appropriate one depends on the kind of applications for which a resulting RDF graph is assumed to be used. In this approach, in order to transform relational data into Semantic Web representation, we apply formalization rules to complete our mapping process. We also propose a rule to handle blank node which is one of the problems of RDF data model. Our main aim is to be easily accessible relational data content on Semantic web. This is the initial approach for transforming relational data and schema items into Semantic Web representation.
Keywords
Relational Database, Web searching
Conference papers
ICCA 2012
28 February, 2012
10th International Conference on Computer Applications
Yangon, Myanmar
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