A state of the art survey on semantic web mining

Quboa, QKM and Saraee, MH ORCID: https://orcid.org/0000-0002-3283-1912 2013, 'A state of the art survey on semantic web mining' , Intelligent Information Management, 05 (01) , pp. 10-17.

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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.

Item Type:	Article
Themes:	Memory, Text and Place
Schools:	Schools > School of Computing, Science and Engineering Schools > School of Computing, Science and Engineering > Salford Innovation Research Centre
Journal or Publication Title:	Intelligent Information Management
Publisher:	Scientific Research Publishing Inc
Refereed:	Yes
ISSN:	2160-5912
Related URLs:	Publication
Depositing User:	Prof. Mo Saraee
Date Deposited:	07 Mar 2013 10:38
Last Modified:	15 Feb 2022 16:26
URI:	https://usir.salford.ac.uk/id/eprint/28455

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