Using the augmented vector space model to support the knowledge worker in document filtering

Ann Johnston, Francesco Lelli, Stefan Decker

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

1 Citation (Scopus)

Abstract

In the current age the discovery of relevant information is becoming extremely difficult. Users must manually search through the high-recall, low-precision results produced by current search engines. We propose a process which incorporates benefits of automated and manual information extraction. The HSC workbench (Hierarchical Step-wise Categorization) is a tool developed by the Hewlett-Packard Research Group in HP, ESC Galway. It implements this process supporting the user in information filtering tasks, automating segments of the process but giving the user control of the categorization.
Original languageEnglish
Title of host publicationProceedings of the 3rd International Conference on Digital Information Management
Place of PublicationLondon
PublisherIEEE
Pages710-715
DOIs
Publication statusPublished - Nov 2008
Externally publishedYes
Event2008 Third International Conference on Digital Information Management (ICDIM) - London, United Kingdom
Duration: 13 Nov 200816 Nov 2008

Conference

Conference2008 Third International Conference on Digital Information Management (ICDIM)
Period13/11/0816/11/08

Keywords

  • Vector space model
  • semantic web
  • semantic desktop

Fingerprint Dive into the research topics of 'Using the augmented vector space model to support the knowledge worker in document filtering'. Together they form a unique fingerprint.

  • Cite this

    Johnston, A., Lelli, F., & Decker, S. (2008). Using the augmented vector space model to support the knowledge worker in document filtering. In Proceedings of the 3rd International Conference on Digital Information Management (pp. 710-715). IEEE. https://doi.org/10.1109/ICDIM.2008.4746750