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In this paper, we propose SemTree, a novel semantic index for supporting retrieval of information from huge amount of document collections, assuming that semantics of a document can be effectively expressed by a set of (subject, predicate, object) statements as in the RDF model. A distributed version of KD Tree has been then adopted for providing a scalable solution to the document indexing, leveraging the mapping of triples in a vectorial space. We investigate the feasibility of our approachdoi:10.1109/icdew.2015.7129546 dblp:conf/icde/AmatoSGMPPP15 fatcat:pt6gxceglfhuxnbjmrfaup4osu