Fabio Clarizia

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—It has been demonstrated that a way to increase the number of relevant documents returned by an informa-tional query performed on a Web repository is to expand the original query with additional knowledge, for instance coded through other topic-related terms. In this paper we propose a new technique to build automatically , through the probabilistic topic(More)
In this paper we address the problem of modeling large collections of data, namely web pages by exploiting jointly traditional information retrieval techniques with probabilistic ones in order to find semantic descriptions for the collections. This novel technique is embedded in a real Web Search Engine in order to provide semantics functionalities, as(More)
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