Abstract

Now a days technological advancements influence human language. In fact some such advancement has taken its toll on the written language as well. One of the most important messaging formats is SMS that influences the communication as well as the written contents. The representation of information in SMS may differ in different languages. This study proposes an approach that explains how information retrieval can be made easy when the search query is in the form of SMS text in domain specific environment. This approach also considers the existing message representation and IR technologies. The evaluation of the results shows that this method can be employed as one of the search techniques in IR.

Keywords:

Information retrieval , SIR model, SMS process,

References

1. Bollen, L., S. Eimler and H.U. Hoppe, 2004. SMS-based discussions: Technology enhanced collaboration for a literature course. Proceeding of the 2nd IEEE International Workshop on Wireless and Mobile Technology in Education, pp: 23-25.
   CrossRef    
2. Bookstein, A., 1985. Probability and Fuzzy-sets Applications to Information Retrieval. In: Williams, M. (Ed.), 8th Edn., Annual Review of Information Science and Technology. Knowledge Industry Publications Inc., White Plains, NY, 20: 117-15.
   
3. Chin-Yeh, W., L. Baw-Jhiung, C. Kuo-En, H. Jorng-Tzong and C. Gwo-Dong, 2003. Using mobile techniques in improving information awareness to promote learning performance. Proceeding of the 3rd IEEE International Conference Advanced Learning Technologies.
   CrossRef    
4. Croft, W.B., 1980. A model of cluster searching based on classification. Inform. Syst., 5(3): 189-195.
   CrossRef    
5. Croft, W.B., 1982. An overview of information systems. Inform. Technol. Res. Dev., 1(1): 73-96.
   
6. Croft, W.B., 1983. Applications for information retrieval techniques in the office. In: Kuehn, J.J. (Ed.), Proceeding of the 6th Annual International Association for Computing Machinery Special Interest Group on Information Retrieval (ACM'SIGIR) Conference on Research and Development in Information Retrieval, ACM Inc., pp: 18-23.
   CrossRef    
7. Dagobert, S., 1989. Important Problems in Information Retrieval. Retrieved from: www.dsoergel.com/ cv/G1.html.
   Direct Link
8. Faloutsos, C. and D.W. Oard, 1995. A survey of information retrieval and filtering methods. Technical Report CS-TR-3514, Department of Computer Science, University of Maryland, College Park.
   
9. Helen, M.T., 1965. Problems of information retrieval. Aslib Proc., 17(7): 210-216.
   CrossRef    
10. Jesús, O., I.S. José, D.D.C. María and I. Ángel, 2011. SMS normalization: Combining phonetics, morphology and semantics. In: Lozano, J.A., J.A. Gámez and J.A. Moreno (Eds.), CAEPIA 2011. LNAI 7023, Springer-Verlag, Berlin, Heidelberg, pp: 273-282.
    
11. Mitchell, A. and M. Doherty, 2003. M-Learning Support for Disadvantaged Youth: Mid-Stage Review. Ultralab, Anglia.
    
12. Nagao, M., 2005. Natural language processing and knowledge. Proceedings of IEEE International Conference on Natural Language Processing and Knowledge Engineering (IEEE NLP-KE'05).
    CrossRef    
13. Nurhizam, S., 2004. The use of Short Messaging System (SMS) as a supplementary learning tool in Open University Malaysia (OUM). Proceeding of the 18th Annual Conference Association of Asian Open Universities (AAOU). Shanghai, China, pp: 27-30.
    
14. Salton, G. and E.M. Voorhees, 1985. Automatic assignment of soft Boolean operators. Proceeding of the 8th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'85), pp: 54-69.
    CrossRef    
15. Shreyas, M.P., R.J. Rajkalpesh and R.S. Sunil, 2012. Information retrieval system using SMS. Proceeding of the Emerging Trends in Computer Science and Information Technology (ETCSIT, 2012), 1: 28-31.
    
16. Venkat, N.G., V.R. Vijay, I.G. William and K. Rajesh, 1997. Information retrieval on the World Wide Web. IEEE Internet Comput., 1(5): 58-68.
    CrossRef    
17. Walker, D.E. and J.R. Hobbs, 1981. Natural Language Access to Medical Text. Technical Note 240, SRI International, Menlo Park, CA.
    
18. Xristine, F. and C. Fintan, 2005. When fingers do the talking: A study of text messaging. Interact. Comput., 17: 167-185.
    CrossRef    

Competing interests

The authors have no competing interests.

Open Access Policy

This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Copyright

The authors have no competing interests.