A State-of-the-Art Survey on Semantic Web Mining - Intelligent Information Management

IIM > Vol.5 No.1, January 2013

Intelligent Information Management

Volume 5, Issue 1 (January 2013)

ISSN Print: 2160-5912 ISSN Online: 2160-5920

Google-based Impact Factor: 1.15 Citations

A State-of-the-Art Survey on Semantic Web Mining ()

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DOI: 10.4236/iim.2013.51002 8,779 Downloads 13,842 Views Citations

Author(s)

Qudamah K. Quboa, Mohamad Saraee

Affiliation(s)

School of Computing, Science, and Engineering, University of Salford, Salford, UK.

ABSTRACT

The integration of the two fast-developing scientific research areas Semantic Web and Web Mining is known as Semantic Web Mining. The huge increase in the amount of Semantic Web data became a perfect target for many researchers to apply Data Mining techniques on it. This paper gives a detailed state-of-the-art survey of on-going research in this new area. It shows the positive effects of Semantic Web Mining, the obstacles faced by researchers and propose number of approaches to deal with the very complex and heterogeneous information and knowledge which are produced by the technologies of Semantic Web.

KEYWORDS

Web Mining; Semantic Web; Data Mining; Semantic Web Mining

Share and Cite:

Q. Quboa and M. Saraee, "A State-of-the-Art Survey on Semantic Web Mining," Intelligent Information Management, Vol. 5 No. 1, 2013, pp. 10-17. doi: 10.4236/iim.2013.51002.

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