The loss of domain knowledge in user search queries: A query log analysis of a botanical retrieval system

Xiaoya Tang, Bryan Heidorn

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

3 Scopus citations

Abstract

This study analyzed the user search queries of an experiment conducted on a full-text botanical retrieval system. Search terms were extracted and categorized. Term frequencies In each category were calculated. Search terms were compared with target documents. The results reveal preferences for the kinds of information used in search queries, that search queries and document representations use very different format and vocabulary, and that the domain knowledge used in user search queries is lost when such queries are interpreted by the system.

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 - Dec 1 2007
Externally publishedYes
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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    Tang, X., & Heidorn, B. (2007). The loss of domain knowledge in user search queries: A query log analysis of a botanical retrieval system. In ASIST 2007 Proceedings of the 70th ASIS and T Annual Meeting - Joining Research and Practice: Social Computing and Information Science (Vol. 44)