Specific ontologies for semantic indexing from natural language properties

Sahbi Sidhom 1 Nabil Khemiri 2
1 KIWI - Knowledge Information and Web Intelligence
LORIA - AIS - Department of Complex Systems, Artificial Intelligence & Robotics
Abstract : In this paper, we present a specific ontologies based on the extraction of semantic information in text documents. Document here concerns the context of the valorization of Tunisian patrimony. As approach, we propose to represent semantic properties in document contents from heterogeneous information (multimedia) concerning by the patrimony objects. For indexing and information retrieval (IR), we develop processes based on the noun phrase (NP) properties and their semantic representations. These processes use natural language processing (NLP) to take into account the NP syntactic and semantic structures. In view of this study, the specific ontology designed has the encapsulation principle to capitalize the concept and knowledge as NP and its semantic relations.
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EJDE - Electronic Journal of Digital Enterprise (ISSN: 1776-2960), Academic e-Journal eJ.D.E. (www.scientifics.fr/ejde), 2012, Evaluating Information Systems and Economic Intelligence, 1 (1776-2960 R291 (ISSN)), pp.1-8
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Dernière modification le : mardi 6 novembre 2018 - 10:08:02
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Sahbi Sidhom, Nabil Khemiri. Specific ontologies for semantic indexing from natural language properties. EJDE - Electronic Journal of Digital Enterprise (ISSN: 1776-2960), Academic e-Journal eJ.D.E. (www.scientifics.fr/ejde), 2012, Evaluating Information Systems and Economic Intelligence, 1 (1776-2960 R291 (ISSN)), pp.1-8. 〈hal-00782918〉

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