Title :
Arabic WordNet semantic relations enrichment through morpho-lexical patterns
Author :
Boudabous, M.M. ; Kammoun, N.C. ; Khedher, N. ; Belguith, L.H. ; Sadat, F.
Author_Institution :
MIRACL Lab., Fac. of Econ. & Manage. of Sfax, Sfax, Tunisia
Abstract :
Arabic WordNet (AWN) ontology is one of the most interesting lexical resources for Modern Standard Arabic. Although, its development is based on Princeton WordNet, it suffers from some weaknesses such as the absence of some words and some semantic relations between synsets. In this paper we propose a linguistic method based on morpho-lexical patterns to add semantic relations between synsets in order to improve the AWN performance. This method relies on two steps: morpho-lexical patterns definition and Semantic relations enrichment. We will take advantage of defined patterns to propose a hybrid method for building Arabic ontology based on Wikipedia.
Keywords :
Web sites; natural language processing; ontologies (artificial intelligence); text analysis; AWN ontology; Arabic WordNet ontology; Arabic WordNet semantic relations enrichment; Princeton WordNet; Wikipedia; linguistic method; morpho-lexical patterns definition; Electronic publishing; Encyclopedias; Internet; Ontologies; Pragmatics; Semantics; Arabic WordNet; Morpho-lexical patterns; NooJ; NooJ grammars; Ontology; Wikipedia;
Conference_Titel :
Communications, Signal Processing, and their Applications (ICCSPA), 2013 1st International Conference on
Conference_Location :
Sharjah
Print_ISBN :
978-1-4673-2820-3
DOI :
10.1109/ICCSPA.2013.6487245