Personalized content retrieval in context using ontological knowledge

Abstract

Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. Vallet, D., Castells, P., Fernandez, M., Mylonas, P., Avrithis, Y. "Personalized Content Retrieval in Context Using Ontological Knowledge". IEEE Transactions on Circuits and Systems for Video Technology, vol. 17, no. 3, pp. 336-346, March 2007Personalized content retrieval aims at improving the retrieval process by taking into account the particular interests of individual users. However, not all user preferences are relevant in all situations. It is well known that human preferences are complex, multiple, heterogeneous, changing, even contradictory, and should be understood in context with the user goals and tasks at hand. In this paper, we propose a method to build a dynamic representation of the semantic context of ongoing retrieval tasks, which is used to activate different subsets of user interests at runtime, in a way that out-of-context preferences are discarded. Our approach is based on an ontology-driven representation of the domain of discourse, providing enriched descriptions of the semantics involved in retrieval actions and preferences, and enabling the definition of effective means to relate preferences and context.This research was supported by the European Commission (FP6-001765 – aceMedia), and the Spanish Ministry of Science and Education (TIN2005-06885