Web Revisitation and Personalized Content Retrieval using Modular Ontology

Abstract

Getting back to antecedently viewed sites may be a common nonetheless uneasy task for users as a result of the massive volume of in-person accessed info on the online. This technique leverages human's natural recall method exploitation episodic and long-term memory cues to facilitate recall and presents a private net revisitation technique through context and content keywords. Underlying techniques for context and content reminiscences acquisition, storage, decay, associate degreed utilization for page re-finding provides the user with tailored and personalized services includes a preponderating importance once developing an interactive system. personalized retrieval data is a very important drawback moon-faced. It usually depends on the user's preference and demand. However, anticipating user's interest remains another challenge to be overcome. this can be associated with one hand, to the shortage of specific process modeling for information discovery, and on another hand, to fitting properly with what the user needs. a replacement technique supported user profile ontology designed through ontology modularization is proposed. The discovering of such preferences is achieved by a brand new methodology of content-based ontology that aims to require into thought each the hierarchical and also the non-hierarchical (semantic) relations put together with connected properties. Three modules are presented. first is context acquisition module, the second is employed to keeping specific user's preferences delineated by these rules and therefore the third module permits for structuring the expanding rule