representing and enriching web usage mining with semantic information a survey
Jagadish kumar.N,
Published in International Journal of Advanced Research in Computer Science Engineering and Information Technology
ISSN: 2321-3337 Impact Factor:1.521 Volume:5 Issue:1 Year: 25 March,2015 Pages:400-405
Abstract
Web mining is the application of data mining techniques to discover patterns from the Web resources. The three main types of web mining are Web content mining, Web structure mining and Web usage mining. Web usage mining is a type of web mining which mainly deals with mining of web usage log files. Web usage Mining aims at discovering insights about the Web resources and their usages from the user’s browsing log by applying various data mining techniques such as classification, prediction and clustering. The web logs captured are syntactic in nature with attributes like time of event, URL requested, Status of the Request etc. Adding semantic information such as URL content type, relationship with other URLs is a step ahead in web usage mining. Such a formalization of the Web semantics in web usage mining is gaining more and more importance nowadays. Semantic web describes the web resource with machine process able Meta data. This Meta data can be used to understand the semantics of a particular web page in web usage mining. Semantic web mining is the term used to represent the combination of these two fast growing research areas web usage mining and semantic web. The aim of this paper is to give an overview of current trends in semantic web mining with main focus on web usage mining.
Kewords
Web Mining, Web usage Mining, Semantic Enrichment, Semantic Web mining
Reference
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