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In the past few years, there has been an explosive growth in scientific and legal information related to the patent system. Patents and related documents are siloed into multiple heterogeneous sources. Retrieving relevant information from diverse sources is a non-trivial task and poses many technical challenges. Among the challenges is the issue of terminological inconsistencies that are used in the...
Many approaches of terminology extraction make use of contextual information to acquire relations between terms. The quality and the quantity of this information influence the accuracy of the terminology extractor. In this paper, we assume that logical structure of documents constitute a rich source of contextual information which can be used to infer semantic relations between terms and thus construct...
Information retrieval is a branch of computer science concerned with the acquisition, storage, search and selection of information. From the user point of view, the access to information can be carried out in a deliberate way through an information retrieval system, or in a passive way through an information filtration system. CISMeF (Catalogue and Index of the French-speaking Medical Sites) is a...
Exploring the metadata associated with documents in the semantic Web is a way to increase the precision of information retrieval systems. Systems have been established so far failed to overcome fully the limitations of search based on keywords. Such systems are built from variations of classic models that represent information by keywords and work upon statistical correlations. This work proposes...
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