Earticle

초록

영어

The exponential increase in information, users and number of Websites on WWW has given rise to number of challenges. The most important challenge is the effective and systematic management of this massive Web data. For Web users, it is very difficult to access relevant information quickly and efficiently. And for Web site owners, it is very difficult to satisfy their users’ information needs effectively. Web Usage Mining has been used to deal with aforesaid issues. The Web Usage Mining techniques are solely based on knowledge acquired through the analysis of the users’ navigational behavior. Hence, quality of discovered patterns is low. Recent studies show that, semantically enriched Web Usage Mining enhances the quality of discovered patterns. The semantically enriched Web is called as Semantic Web, and this new form of Web Usage mining is called as Semantic Web Usage Mining. It is also called as Ontology based Web Usage Mining, as Ontologies act as backbone for conceptual description of semantic knowledge in Semantic Web. In this paper, we have presented brief overview of conventional Web usage mining and performed an extensive survey of research work done in ontology based web usage mining.

목차

Abstract
 1. Introduction
  1.1. Web Mining
  1.2. Web Mining Categorization
  1.3. Web Usage Mining
  1.4. Ontology based Web Usage Mining
 2. Review on Ontology Based Web Usage Mining
 3. Key Principles
 4. Conclusions
 References

키워드

저자

• Vandana M. Patil [ Research Scholar, Department of Information Technology, R. C. Patel Institute of Technology, Shirpur (MS), India ]
• J. B. Patil [ Professor, Department of Computer Engineering, R. C. Patel Institute of Technology, Shirpur (MS), India ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Database Theory and Application

• 간기

  격월간

• pISSN

  2005-4270

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605