International Journal of Computer Theory and Engineering

Editor-In-Chief: Prof. Mehmet Sahinoglu
Frequency: Quarterly
ISSN: 1793-8201 (Print), 2972-4511 (Online)
Publisher:IACSIT Press

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CiteScore

IJIET 2014 Vol.6(6): 472-475
doi: 10.7763/IJCTE.2014.V6.912

Data Mining in Semantic Web Data

K. Chomboon , N. Kaoungku , K. Kerdprasop , N. Kerdprasop

  • School of Computer Engineering, Suranaree University of Technology, Nakhon Ratchasima 30000, Thailand.

Abstract

This research aims at studying the data mining role in semantic web data. Semantic web is popular in a variety of different applications, but research in data mining in semantic web data, appears less. As open source software for data mining in semantic web open source is minimal, and data model of the semantic web requires RDF or OWL format. These specific formats cannot be used directly in most data mining tools. We thus propose a methodology to mine data that appear in an RDF format. The mining process has been demonstrated through the use of R packages.

Keywords

  • Data mining
  • semantic web
  • R language
912-I019

How to Cite

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K. Chomboon, N. Kaoungku, K. Kerdprasop, and N. Kerdprasop, "Data Mining in Semantic Web Data," International Journal of Computer Theory and Engineering, vol. 6, no. 6, pp. 472-475, 2014. https://doi.org/10.7763/IJCTE.2014.V6.912

Copyright & License

Copyright © 2014 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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