A novel approach for personalizing the web using user profiling ontologies

Web personalization has become the recent trend in the internet era. There are various means for web personalization. On such approach is by creating ontologies and personalizing the web. Ontologies play an important role in the creation of the semantic web. In this paper a novel approach has been proposed for creation of user profiling ontologies(UPO) which is useful for personalizing the web. In this approach a cross ontology mechanism has been applied. The user queries are continuously monitored. Then the stemming process takes place and important keywords are extracted and the frequently visited web pages are ranked. Based on this UPO is automatically generated. Here ontology mapping mechanism is followed for mapping the UPO with that of the global ontology and thus the web pages are personalized which are compatible to user queries. Data samples are collected and the results show a good improvement using this approach.