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M.Tech / M.E / PhD Thesis | Computer Science & Engineering | India | Volume 4 Issue 8, August 2015

Enforcing Adaptive Personalization using Ontology

Sarika P. Aundhakar ^[2] | N. B. Pokale ^[6]

Abstract: Due to increasing usage frequency of the search engines user becomes more and more familiar with searching techniques this leads to the fact that search engines becomes the inseparable part our life. As days are passing it is becoming tough to add all the favourite and important links of searched results in the browser to personalise the searched results. So a need of efficient personalisation system is required which can store the searched results as long as user wants and automatically adapt the other searched URLs according to the users taste. Many systems are existed which barely store and retrieve the users searched URLs upon users request but most of them are fail to adapt the user taste according to time. This paper put forwards an idea of user personalisation using ontology for the searched news URLs in the search engine. Where every searched result are keep updating based on the user storage and time limit which makes way to store more new useful search results and discard older ones for the efficient and long lasting storage space management.

Keywords: User Personalisation, Ontology, OWL, Protg,

Edition: Volume 4 Issue 8, August 2015,

Pages: 333 - 337

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