skip to main content
10.1145/1593105.1593140acmotherconferencesArticle/Chapter ViewAbstractPublication Pagesacm-seConference Proceedingsconference-collections
research-article

Work in progress: effects of multiple words on ambiguity in information retrieval

Published:28 March 2008Publication History

ABSTRACT

In this paper, an analysis of word ambiguity is conducted on an Excite Search Engine query log consisting of 52,167 queries. Each query is analyzed for each term and if any interaction of terms with queries reduces ambiguity. The data supports the conjecture that merely adding additional terms to a short (five or fewer terms) query statement is insignificant in reducing the ambiguity of the terms being searched for. Specifically, it is shown that regardless of the number of terms, typically one to five words in a query, the search remains ambiguous. The average query length is 2.21 words, and two search words will be shown to provide the least ambiguous results. In addition, it will be shown that a search with at least one unambiguous word tends to produce unambiguous search results, while the opposite tends not to be true, that adding terms does not help reduce ambiguity.

References

  1. Allan, James and Raghavan, Hema. "Using Part-of-speech Patterns to Reduce Query Ambiguity." Accessed on 20 June 2007. http://www.scils.rutgers.edu/etc/mongrel/allen-raghavan-sigir.pdf.Google ScholarGoogle Scholar
  2. Bates, Marcia J. <u>"Where Should the Person Stop and the Information Search Interface Start?"</u> Information Processing & Management 26 (1990): 575--591. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Beckwith, Richard, Miller, George A., and Tengi, Randee. "Design and Implementation of the WordNet Lexical Database and Searching Software." 18 July 2007. http://wordnet.princeton.edu/5papers.pdf.Google ScholarGoogle Scholar
  4. Brin, Sergey and Page, Lawrence. The anatomy of a large-scale hypertextual web search engine. Proceedings of the 7th International World Wide Web Conference, pages 107--117, Brisbane, Australia, 1998. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. Cronen-Townsend, S., and Croft, W. B. Quantifying query ambiquity. In Proceedings of Human Language Technology 2002, pages 94--98, March 2002. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. Jansen, B. J. 2006. Search log analysis: What is it; what's been done; how to do it. Library and Information Science Research, 28(3), 407--432.Google ScholarGoogle ScholarCross RefCross Ref
  7. Jansen, B. J. and Pooch, U. 2001. <u>Web user studies: A review and framework for future work</u>. Journal of the American Society for Information Science and Technology. 52(3), 235--246. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. Jansen, B. J. and Spink, A. 2005. How are We Searching the World Wide Web?: An Analysis of Nine Search Engine Transaction Logs. Information Processing & Management. 42(1), 248--263. Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. Jansen, B. J., Spink, A., and Saracevic, T. 2000. <u>Real life, real users, and real needs: A study and analysis of user queries on the web</u>. Information Processing & Management. 36(2), 207--227. Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. Krovetz, R. and B. Croft. 1992. Lexical Ambiguity and Information Retrieval. In: ACM Transactions on Information Systems, Vol. 10, No. 2, pp. 115--141. Google ScholarGoogle ScholarDigital LibraryDigital Library
  11. Ling Charles X., Gao, Jianfeng, Zhang, Huajie, Qian, Weining, Zhang, HongJiang "Mining Generalized Query Patterns from Web Logs", Proc. of 34th Annual Hawaii Intl' Conf. on System Sciences (HICSS- -- Track 5, Maui (January 2001), Hawaii, IEEE Computer Society Press, Los Alamitos, p. 5020, 2001. Google ScholarGoogle ScholarDigital LibraryDigital Library
  12. Sanderson, M. 1994. Word Sense disambiguation and information retrieval. In Proceedings of the 17th Annual International ACM-SIGR Conference on Research and Development in Information Retrieval, pages 142--151, Springer-Verlag. Google ScholarGoogle ScholarDigital LibraryDigital Library
  13. Silverstein, C., Henzinger, H., Marais H. and Moricz M. "Analysis of a very large altavista query log," in SRC Technical Note 1998--014, 1998.Google ScholarGoogle Scholar
  14. Sparck-Jones, Karen, Robertson, Stephen E., and Sanderson, Mark. December, 2007. Ambiguous requests: implications for retrieval tests systems and theories. In SIGIR forum, Vol. 41, No 2 pp 8--17. Google ScholarGoogle ScholarDigital LibraryDigital Library

Index Terms

  1. Work in progress: effects of multiple words on ambiguity in information retrieval

    Recommendations

    Comments

    Login options

    Check if you have access through your login credentials or your institution to get full access on this article.

    Sign in
    • Published in

      cover image ACM Other conferences
      ACM-SE 46: Proceedings of the 46th Annual Southeast Regional Conference on XX
      March 2008
      548 pages
      ISBN:9781605581057
      DOI:10.1145/1593105

      Copyright © 2008 ACM

      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 28 March 2008

      Permissions

      Request permissions about this article.

      Request Permissions

      Check for updates

      Qualifiers

      • research-article

      Acceptance Rates

      Overall Acceptance Rate178of377submissions,47%
    • Article Metrics

      • Downloads (Last 12 months)5
      • Downloads (Last 6 weeks)1

      Other Metrics

    PDF Format

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader