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Reseach Article

Online Music Library using RDF based Inference Engines

by Kumar Abhishek, Gopinath.V, Vipin Kumar.N, Archana P. Kumar
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 33 - Number 2
Year of Publication: 2011
Authors: Kumar Abhishek, Gopinath.V, Vipin Kumar.N, Archana P. Kumar
10.5120/4106-5651

Kumar Abhishek, Gopinath.V, Vipin Kumar.N, Archana P. Kumar . Online Music Library using RDF based Inference Engines. International Journal of Computer Applications. 33, 2 ( November 2011), 48-51. DOI=10.5120/4106-5651

@article{ 10.5120/4106-5651,
author = { Kumar Abhishek, Gopinath.V, Vipin Kumar.N, Archana P. Kumar },
title = { Online Music Library using RDF based Inference Engines },
journal = { International Journal of Computer Applications },
issue_date = { November 2011 },
volume = { 33 },
number = { 2 },
month = { November },
year = { 2011 },
issn = { 0975-8887 },
pages = { 48-51 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume33/number2/4106-5651/ },
doi = { 10.5120/4106-5651 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:19:09.640959+05:30
%A Kumar Abhishek
%A Gopinath.V
%A Vipin Kumar.N
%A Archana P. Kumar
%T Online Music Library using RDF based Inference Engines
%J International Journal of Computer Applications
%@ 0975-8887
%V 33
%N 2
%P 48-51
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The paper describes the method of how to develop “Intelligent agents” for web searching and replacing the existing “User agents” with the “Intelligent agents”. This process is described by developing a website (viz.Music Library) which runs on an inferencing engine which suggests the users the kind of music they like based upon its reasoning. The database for such an engine has been moved away from the traditional RDBMS format and more easy-to-use XML files have been used in place. These XML files are in fact RDF/XML files, which allow inferencing process to be achieved in a smooth fashion.

References
  1. W3C Semantic Web Frequently Asked Questions". W3C. http://www.w3.org/2001/sw/SW-FAQ. Retrieved March 13, 2008.
  2. http://www.w3.org/TR/rdf-primer
  3. Shelley Powers: Pratical RDF, O’Reilly,2003
  4. Michael Grobe : RDF, Jena, SparQL and the “Semantic Web”
  5. Eclipse: http://www.eclipse.org/downloads/
  6. Jena and ARQ(a SPARQL implementation) are representative for various API’s for RDF processing.
  7. IBMhttp://www.ibm.com/developerworks/library/w-rdf
  8. Gizem Olgo “Inference Engines-Semantic Web Cross Up Project”, July 2004
  9. http://jena.sourceforge.net/inference/
  10. Jocelyn Ireson –Paine “http://www.jpaine.org/students/lectures/lect3/node10.html”
Index Terms

Computer Science
Information Sciences

Keywords

Intelligent agents Inferencing RDF/XML format