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Enhancing digital libraries using missing content analysis

  • IBM

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

15 Scopus citations

Abstract

This work shows how the content of a digital library can be enhanced to better satisfy its users' needs. Missing content is identified by finding missing content topics in the system's query log or in a pre-defined taxonomy of required knowledge. The collection is then enhanced with new relevant knowledge, which is extracted from external sources that satisfy those missing content topics. Experiments we conducted measure the precision of the system before and after content enhancement. The results demonstrate a significant improvement in the system effectiveness as a result of content enhancement and the superiority of the missing content enhancement policy over several other possible policies.

Original languageEnglish
Title of host publicationJCDL'08
Subtitle of host publicationProceedings of the 8th ACM/IEEE-CS Joint Conference on Digital Libraries 2008
Pages1-10
Number of pages10
DOIs
StatePublished - 2008
Externally publishedYes
Event8th ACM/IEEE-CS Joint Conference on Digital Libraries 2008, JCDL'08 - Pittsburgh, PA, United States
Duration: 16 Jun 200820 Jun 2008

Publication series

NameProceedings of the ACM International Conference on Digital Libraries

Conference

Conference8th ACM/IEEE-CS Joint Conference on Digital Libraries 2008, JCDL'08
Country/TerritoryUnited States
CityPittsburgh, PA
Period16/06/0820/06/08

Keywords

  • Content analysis
  • Crawling policy
  • Query difficulty

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