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(to be completed)

 


ThinkMind // ALLDATA 2016, The Second International Conference on Big Data, Small Data, Linked Data and Open Data // View article alldata_2016_5_10_97029


Using Domain Ontologies for Classification and Semantic Interpretation of Documents

Authors:
Samia Iltache
Catherine Comparot
Malik Si Mohammed
Pierre-Jean Charrel

Keywords: Domain ontology; semantic interpretation; disambiguation; classification; conceptual graph.

Abstract:
The work presented in this paper addresses the problem of interpretation and semantic classification of documents. One of the issues faced by natural languages is related to the presence, in glossaries, of words with similar morphologies and different meanings. Our approach is based on the use of domain ontologies for nouns disambiguation. We begin our process with a global disambiguation, by linking the considered document to a semantic domain (represented by an ontology) which we select among several candidate ones. We define a candidate domain as any domain in which at least one significant word of the text can be considered and makes sense. We then perform a local disambiguation by using the selected ontology and finally build a semantic representation of the content of the document as a conceptual graph.

Pages: 76 to 81

Copyright: Copyright (c) IARIA, 2016

Publication date: February 21, 2016

Published in: conference

ISSN: 2519-8386

ISBN: 978-1-61208-457-2

Location: Lisbon, Portugal

Dates: from February 21, 2016 to February 25, 2016

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