The increasing availability of documents in digital form, together with the corresponding volume of daily updated contents, makes the problem of retrieving documents and data a challenging task. In this paper, we present WIKI.MAS, an information retrieval system devoted to retrieve and classify Wikipedia contents according to users’ interests and preferences. The proposed system has been built upon X.MAS, a generic multiagent architecture devised to implement information retrieval tasks.
WIKI.MAS: A MultiAgent Information Retrieval System for Classifying Wikipedia Contents
ARMANO, GIULIANO;VARGIU, ELOISA
2008-01-01
Abstract
The increasing availability of documents in digital form, together with the corresponding volume of daily updated contents, makes the problem of retrieving documents and data a challenging task. In this paper, we present WIKI.MAS, an information retrieval system devoted to retrieve and classify Wikipedia contents according to users’ interests and preferences. The proposed system has been built upon X.MAS, a generic multiagent architecture devised to implement information retrieval tasks.
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