CFP last date
20 May 2024
Reseach Article

Domain Specific Ontology based Query processing System for Urdu Language

by Rukhsana Thaker, Ajay Goel
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 121 - Number 13
Year of Publication: 2015
Authors: Rukhsana Thaker, Ajay Goel
10.5120/21601-4712

Rukhsana Thaker, Ajay Goel . Domain Specific Ontology based Query processing System for Urdu Language. International Journal of Computer Applications. 121, 13 ( July 2015), 20-23. DOI=10.5120/21601-4712

@article{ 10.5120/21601-4712,
author = { Rukhsana Thaker, Ajay Goel },
title = { Domain Specific Ontology based Query processing System for Urdu Language },
journal = { International Journal of Computer Applications },
issue_date = { July 2015 },
volume = { 121 },
number = { 13 },
month = { July },
year = { 2015 },
issn = { 0975-8887 },
pages = { 20-23 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume121/number13/21601-4712/ },
doi = { 10.5120/21601-4712 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:08:20.489676+05:30
%A Rukhsana Thaker
%A Ajay Goel
%T Domain Specific Ontology based Query processing System for Urdu Language
%J International Journal of Computer Applications
%@ 0975-8887
%V 121
%N 13
%P 20-23
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The tremendous increase in the multilingual data on the internet has increased the demand for efficient retrieval of information. Urdu is one of the widely spoken and written languages of south Asia. Due to unstructured format of Urdu language information retrieval of information is a big challenge. Question Answering systems aims to retrieve point-to-point answers rather than flooding with documents. It is needed when the user gets an in depth knowledge in a particular domain. When user needs some information, it must give the relevant answer. The question-answer retrieval of ontology knowledge base provides a convenient way to obtain knowledge for use, but the natural language need to be mapped to the query statement of ontology. This paper describes a query processing system based on ontology. This system is a combination of NLP and Ontology. It makes use of ontology in several phases for efficient query processing. Our focus is on the knowledge derived from the concepts used in the ontology and the relationship between these concepts. In this paper we describe the architecture methodology and algorithm with results of query processing system for Urdu

References
  1. R. Baeza-Yates & B. Ribeiro-Neto, (2011) "Modern Information Retrieval", second edition.
  2. Breck, E. , Burger, J. , House, D. , Light, M. & Mani, I. (1999) ``Question answering from large document collections'', Question Answering Systems: Papers from the 1999 AAAI Fall Symposium, 5-7 November, North Falmouth, MA, AAAI Press, Menlo Park, CA, pp. 26-31.
  3. Muthu krishnan Ramprasath1 and Shanmuga sundaram Hariharan2, 2012, "A Survey on Question Answering System", International Journal of Research and Reviews in Information Sciences (IJRRIS), pp171-179.
  4. ] Liddy, NY. Marcel Decker "Natural Language Processing" , in Encyclopedia of Library and Information Science in 2001
  5. ] ROBERT F. SIMMONS, "Natural Language Question Answering Systems: 1969"
  6. Cai Dongfeng, Cui Huan, Miao Xuelei, Zhao, Ren Xiangshi 2004, "A Web-based Chinese Automatic Question Answering System", pp1141-1146, IEEE.
  7. Sallaberry Christian, Etcheverry Patrick, Marquesuzaà Christophe, 2006, "Information Retrieval and Visualization Based on Documents" Geospatial Semantics", International Conference on Information Technology: Research and Education, pp277- 281.
  8. Cun-Li Mao, Li-Na Li, Zheng-Tao Yu, Lu Han, Jian-Yi Guo , Xiong-Li Lei ,2009,"Research on Answer Extraction Method for Domain Question Answering System (QA)", 2009 International Conference on Computational Intelligence and Security, pp79-83, IEEE.
  9. Kanaan, G. , Hammouri, A. , Al-Shalabi, R. and Swalha, M, (2009). "A New Question Answering System for the Arabic Language". American Journal of Applied Sciences 6 (4): 797-805Y. T.
  10. E. Kaufmann, A. Bernstein, and R. Zumstein. , "Querix: A natural language interface to query ontologies based on clarification dialogs," In proceeding 5th International Semantic Web Conference (ISWC 2006), pp 980–98.
  11. V. Lopez, and E. Motta, 2004, "Ontology-Driven Question Answering in AquaLog," Lecture Notes in Computer Science, Vol. 3136. Springer-Verlag, Berlin, pp. 89–102.
  12. Vincent Barbier, Brigitte Grau, Anne-Laure Ligozat, Isabelle Robba and Anne Vilnat "Semantic Knowledge in Question Answering Systems"
Index Terms

Computer Science
Information Sciences

Keywords

Domain Adjacent Keyword Classes.