With flooding of information on WWW 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 work focuses on proving agent-based framework for mining semantic web contents employing clustering techniques. Clustering will help provide user with query relevant cluster of web contents, which will better satisfy user requirement and will provide optimal utilization of web surfing time.
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