Agent Based Framework for Semantic Web Content Mining
With flooding of information on WWW (World Wide Web) it has become necessary to apply some strategy so that valuable knowledge can be extracted and consequently returned to the user. Data mining techniques find their applicability in such scenario. Data mining concepts and techniques when applied to WWW with its existing technologies are termed as web mining. Web mining can change the way results are provided to user queries presently i.e. ranked list of keyword based results. This paper focuses on proving agent-based framework for mining semantic web contents employing clustering techniques.