SEMANTIC WEB MINING: ISSUES AND CHALLENGES

Abstract

 The combination of the two fast evolving scientific research areas “Semantic Web” and “Web Mining” are wellknown as “Semantic Web Mining” in computer science. These two areas cover way for the mining of related and meaningful information from the web, by this means giving growth to the term “Semantic Web Mining”. The “Semantic Web” makes mining easy and “Web Mining” can construct new structure of Web. Web Mining applies Data Mining technique on web content, Structure and Usage. This paper gives an overview of where these two areas work together, the way how this integration of both (Web Mining & Semantic Web) gives maximum profitable outcomes on WWW (World Wide Web) and challenges in this area.

Authors and Affiliations

Karan Singh

Keywords

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  • EP ID EP96248
  • DOI 10.5281/zenodo.60109
  • Views 52
  • Downloads 0

How To Cite

Karan Singh (30).  SEMANTIC WEB MINING: ISSUES AND CHALLENGES. International Journal of Engineering Sciences & Research Technology, 5(8), 637-644. https://europub.co.uk/articles/-A-96248