Intelligent focusing in knowledge indexing and retrieval - The relatedness tool

Ron D. Appel, Henryk Jan Komorowski, Charles E. Barr, Robert A. Greenes

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

4 Scopus citations

Abstract

An algorithm is presented that provides a basis for navigating databases for the indexer or the user who wants to formulate a query. The navigation process automatically identifies concepts related to key words or to other selected terms and thus suggests richer ways of accessing information. In contrast to indexing tools based on thesaurus systems like MeSH which can contain hand-coded 'related-to' links in their record structures, relatedness allows for an automatic way of identifying, or at least suggesting, the related concepts. The algorithm is implemented in Interlisp on the Xerox 1109 workstation and uses a prototype taxonomy being developed for the Unified Medical Language System (UMLS).

Original languageEnglish (US)
Title of host publicationProceedings - Annual Symposium on Computer Applications in Medical Care
EditorsRobert A. Greenes
PublisherPubl by IEEE
Pages152-157
Number of pages6
ISBN (Print)0818608811
StatePublished - Nov 1988
Externally publishedYes
EventProceedings - Twelfth Annual Symposium on Computer Applications in Medical Care - Washington, DC, USA
Duration: Nov 6 1988Nov 9 1988

Publication series

NameProceedings - Annual Symposium on Computer Applications in Medical Care
ISSN (Print)0195-4210

Other

OtherProceedings - Twelfth Annual Symposium on Computer Applications in Medical Care
CityWashington, DC, USA
Period11/6/8811/9/88

ASJC Scopus subject areas

  • General Engineering

Fingerprint

Dive into the research topics of 'Intelligent focusing in knowledge indexing and retrieval - The relatedness tool'. Together they form a unique fingerprint.

Cite this