Web Based Information Retrieval with Special Reference to Hindi Language Search

Authors

  • Singh B P. DEI (Deemed University), Agra
  • Anand Kumar

Keywords:

Information Retrieval, Search Engines, Web IR. Khoj, Raftaar, Hindi, Indian Languages.

Abstract

Digital archiving of books and other documents using appropriate technologies is now a priority area of activity in libraries, academic and research systems and Knowledge management scenario. Digitzation enables finding valuable and accurate information from huge collections through networks or web speedily. It enables storing large amount of data and information at less cost and it has become possible to share information for human communities at the global level. Now, the web-based Information Retrieval (IR) is more popular among people from all spheres of life and activity and various IR systems are being used for searching required information. Unlike other countries in India more many languages and scripts are used and hence Information systems face many problems in processing digital text and IR. The study presents the brief overview of search engines with key issues related to information searching and retrieval, especially in Hindi language by observing results of queries on three popular Hindi search engines - Google, Raftaar and Khoj.

Author Biographies

  • Singh B P., DEI (Deemed University), Agra
    Is presently, Librarian of Central Library, Dayalbagh Educational Institute, Agra
  • Anand Kumar
    Anand Kumar is Assistant Professor, Department of Computer & Information Sciences, J. R. Handicapped University, Chitrakoot, Uttar Pradesh, India.

References

Altintas E., Karsligil E. & Coskun, V (2005). A New Semantic Similarity Measure Evaluated In Word Sense Disambiguation, Proceedings of the 15th NODALIDA Conference, Joensuu, May 20-21, 2005.

Bhattacharyya, P. & Almeida, A (2008). Using morphology to improve Marathi monolingual information retrieval. Retrieved from http://www.isical.ac.in/~fire/paper/Ashish_almeida-IITB-fire2008.pdf

David, Hull (1996). Stemming algorithms - a case study for detailed evaluation. Journal of the American Society for Information Science, Vol. 47(1). 70–84.

Dixit, Veena, Dethe, Satish and Joshi, R.K. Morphology-Based Spell Checker for Marathi, 2nd Language & Technology Conference, April 21-23 2005.

Dwivedi, S.K. and Rastogi, P. (2010). Impact of language morphologies on Search Engines Performance for Hindi and English language. International Journal of Computer Science & Information Security.Vol. 8 (3). 175-178.

Fagan, J. L. (1989). The effectiveness of a nonsyntactic approach to automatic phrase indexing for document retrieval. Journal of the American Society for Information Science, Vol. 40(2). 115–139.

Gerard Salton and M. J. McGill. Introduction to Modern Information Retrieval. McGraw Hill Book Co. New York, 1983.

Jones, K. Sparck and P. Willett (1997). Readings in Information Retrieval. Morgan Kaufmann, 1997.

Marius Pasca and Sanda Harabagiu (2001). High performance question/answering. Proceedings of the 24thInternational Conference on Research and Development in Information Retrieval, 2001, 366–374.

Rijsbergen , C. J. Van (1979). Information Retrieval. Butterworths, London.

Top Ten Internet languages: World Internet Statistics. http://www. Internetworldstats.com (accessed on 7/1/2017)

Tripathi, Aditya (2012). Problems and prospects of Hindi language search and text processing. Annals of Library and Information Science. Vol. 59 (4). 219-222.

www.google.co.in (accessed on 2nd Aug. 2016).

www.raftraar.com (accessed on 2nd Aug. 2016).

www.khoj.com (accessed on 5th Aug. 2016).

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Published

2018-01-19