Order of magnitude reductions in the size of enterprise search result sets through the use of subject indexes

Gregory Schymik, Robert St Louis, Karen Corral

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

3 Scopus citations

Abstract

Keyword search has failed to adequately meet the needs of enterprise users. This is largely due to the indeterminate nature of languages. We argue a different approach needs to be taken, and draw on the success of previous library indexing concepts to propose a solution. We test our solution by performing search queries on a large research database. By incorporating readily available subject indexes into the search process, we obtain order of magnitude improvements in the performance of search queries. Our performance measure is the ratio of the number of documents returned without using subject indexes to the number of documents returned when subject indexes are used. We explain why the observed tenfold improvement in search performance on our research database can be expected to occur for searches on a wide variety of enterprise document stores.

Original languageEnglish (US)
Title of host publication15th Americas Conference on Information Systems 2009, AMCIS 2009
Pages1490-1498
Number of pages9
StatePublished - 2009
Event15th Americas Conference on Information Systems 2009, AMCIS 2009 - San Francisco, CA, United States
Duration: Aug 6 2009Aug 9 2009

Publication series

Name15th Americas Conference on Information Systems 2009, AMCIS 2009
Volume3

Other

Other15th Americas Conference on Information Systems 2009, AMCIS 2009
Country/TerritoryUnited States
CitySan Francisco, CA
Period8/6/098/9/09

Keywords

  • Enterprise search
  • Full-text search
  • Metadata
  • Orderly distribution of meanings
  • Representational indeterminacy

ASJC Scopus subject areas

  • Computer Science Applications
  • Computer Networks and Communications
  • Information Systems
  • Library and Information Sciences

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