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Reseach Article

Mapping of Legacy Relational Data for Semantic Web: A Survey

by Smitha S Kumar, M.punithavalli
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 110 - Number 4
Year of Publication: 2015
Authors: Smitha S Kumar, M.punithavalli
10.5120/19301-0749

Smitha S Kumar, M.punithavalli . Mapping of Legacy Relational Data for Semantic Web: A Survey. International Journal of Computer Applications. 110, 4 ( January 2015), 1-3. DOI=10.5120/19301-0749

@article{ 10.5120/19301-0749,
author = { Smitha S Kumar, M.punithavalli },
title = { Mapping of Legacy Relational Data for Semantic Web: A Survey },
journal = { International Journal of Computer Applications },
issue_date = { January 2015 },
volume = { 110 },
number = { 4 },
month = { January },
year = { 2015 },
issn = { 0975-8887 },
pages = { 1-3 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume110/number4/19301-0749/ },
doi = { 10.5120/19301-0749 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:45:27.624376+05:30
%A Smitha S Kumar
%A M.punithavalli
%T Mapping of Legacy Relational Data for Semantic Web: A Survey
%J International Journal of Computer Applications
%@ 0975-8887
%V 110
%N 4
%P 1-3
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Web has transformed the way people communicate with each other and the way business is conducted. Web in its current form is one of the most successful engineering artifacts, but the current technology suffers from limitations with respect to machine understandability. Semantic Web's promise of data integration requires the inclusion of the data in the relational databases. There are multiple approaches proposed to include this relational data into the sphere of semantic web. This paper is an attempt to compile and analyze the approaches proposed so far in literature and identify the various tools used to perform the mapping.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Semantic Web RDB2RDF SPARQL RDF.