Title :
SemTree: An index for supporting semantic retrieval of documents
Author :
Amato, Flora ; De Santo, Aniello ; Gargiulo, Francesco ; Moscato, Vincenzo ; Persia, Fabio ; Picariello, Antonio ; Poccia, Silvestro Roberto
Author_Institution :
Dipt. di Ing. Elettr. e Tecnol. dell´Inf., Univ. of Naples “Federico II”, Naples, Italy
Abstract :
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 approach in a real case study, considering the problem of finding inconsistencies in documents related to software requirements and report some preliminary experimental results.
Keywords :
formal specification; formal verification; indexing; information retrieval; semantic networks; systems analysis; trees (mathematics); vectors; KD-Tree; RDF model; SemTree; document indexing; document retrieval; semantic index; software requirement; vectorial space; Complexity theory; Computational modeling; Partitioning algorithms;
Conference_Titel :
Data Engineering Workshops (ICDEW), 2015 31st IEEE International Conference on
Conference_Location :
Seoul
DOI :
10.1109/ICDEW.2015.7129546