Cross-Domain Semantic Web Model for Understanding Multilingual Natural Language Queries: English/Arabic Health/Food Domain Use Case-Reference-Cited by-同舟云学术

Cross-Domain Semantic Web Model for Understanding Multilingual Natural Language Queries: English/Arabic Health/Food Domain Use Case

Published:2016 Issue: Volume:83 Page:607-614
ISSN:1877-0509
Container-title:Procedia Computer Science
language:en
Short-container-title:Procedia Computer Science

Author:

Al-Nazer Ahmed,Albukhitan Saeed,Helmy Tarek

Publisher

Elsevier BV

Subject

General Engineering

Reference21 articles.

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4. Abouenour, L., K. Bouzoubaa, and P. Rosso. Using the Yago ontology as a resource for the enrichment of Named Entities in Arabic WordNet. in Editors & Workshop Chairs, 2010.

5. Zaidi, S., M. Laskri, and A. Abdelali. Arabic collocations extraction using Gate. in Machine and Web Intelligence (ICMWI), 2010 International Conference on: IEEE, 2010.

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