SemTree: An index for supporting semantic retrieval of documents
作者： Flora Amato , Aniello De Santo , Francesco Gargiulo , Vincenzo Moscato , Fabio Persia
DOI: 10.1109/ICDEW.2015.7129546
关键词:
摘要: In this paper, we propose SemTree, a novel semantic index for supporting retrieval of information from huge amount document collections, assuming that semantics can be effectively expressed by set 〈subject, predicate, object〉 statements as in the RDF model. A distributed version KD-Tree has been then adopted providing scalable solution to indexing, leveraging mapping triples vectorial space. We investigate feasibility our approach real case study, considering problem finding inconsistencies documents related software requirements and report some preliminary experimental results.
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