Semantic Web Mining: An Amalgamation for Knowledge Extraction

International Journal of Computer Science and Engineering

© 2015 by SSRG - IJCSE Journal

Volume 2 Issue 8

Year of Publication : 2015

Authors : Karan Sukhija

10.14445/23488387/IJCSE-V2I8P103

How to Cite?

Karan Sukhija, "Semantic Web Mining: An Amalgamation for Knowledge Extraction," SSRG International Journal of Computer Science and Engineering , vol. 2,  no. 8, pp. 14-17, 2015. Crossref, https://doi.org/10.14445/23488387/IJCSE-V2I8P103

Abstract:

Semantic Web Mining is an emerging research area, aimed as amalgamation of two most rising arenas of research: the Web Mining and Semantic Web (SW). SW is an expansion of existing web where result knowledge is specified the distinct meaning. It enhances the web search. Web mining, as a mounting area of data mining, has three operations of interests in terms of data mining techniques– Clustering (i.e. find out the natural clustering between the pages of web, operators etc.),Association (i.e. the requested web addresses collectively inclined) and chronological scrutiny (i.e. the sort in which web address tendency to be salvaged). Semantic Web Mining purpose is to enhance the domino effect of Web Mining by exploring the novel-fangled semantic assemblies in the Web. It also makes usage of Web Mining for assembling up the Semantic Web.Both these arenas’ distillate on the prevailing encounters of the World Wide Web: spinning amorphous data into machinecomprehensible data by means of Semantic Web tools.

Keywords:

 Web Mining, Semantic web, Ontology, Semantic web mining.

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