Beyond the social search: personalizing the semantic search in social networks
OCSC'11 Proceedings of the 4th international conference on Online communities and social computing
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Folksonomy-based systems represent an important initiative to the information organization on the Web. It provides a way for its users to attribute meaning to the content of the information available. However, with the quick increase in the amount of information being published and the number of users categorizing it, an information overload is generated, whose quality cannot be assured. Aiming at reducing this problem, we propose the ascription of cognitive authority to recognize the information quality by qualifying its sources, i.e. its author. We applied this qualification in the information retrieval process in folksonomy-based system and through a simulation process we obtain results that demonstrate the viability of our proposal.