How incorrect information delivers correct search results: A pragmatic analysis of queries

Jin Ha Lee, Allen H Renear

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Although the accuracy of the information relied on in formulating known-item search queries is generally regarded as critical to the search success of those queries, it has been observed that in some cases, such as music information retrieval, searching is often successful even when the information the queries are based on is flawed. Resolving this puzzle is important to a comprehensive understanding of information seeking in general and, perhaps, the success of new social indexing strategies in particular. One promising source of insight is the area of linguistics known as pragmatics. We show how a particular concept from pragmatics, the attributive/referential distinction, can illuminate how queries can function effectively independently of the apparent accuracy of the information they seem to rely on. This suggests possible new directions for the development of more effective information retrieval systems.

Original languageEnglish (US)
Title of host publicationASIST 2007 Proceedings of the 70th ASIS and T Annual Meeting - Joining Research and Practice
Subtitle of host publicationSocial Computing and Information Science
Volume44
StatePublished - 2007
Event3rd Electronic edition of the Annual Meeting of the American Society for Information Science and Technology - Milwaukee, WI, United States
Duration: Oct 19 2007Oct 24 2007

Other

Other3rd Electronic edition of the Annual Meeting of the American Society for Information Science and Technology
CountryUnited States
CityMilwaukee, WI
Period10/19/0710/24/07

ASJC Scopus subject areas

  • Information Systems
  • Library and Information Sciences

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    Lee, J. H., & Renear, A. H. (2007). How incorrect information delivers correct search results: A pragmatic analysis of queries. In ASIST 2007 Proceedings of the 70th ASIS and T Annual Meeting - Joining Research and Practice: Social Computing and Information Science (Vol. 44)