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Non-topical factors in information access
RISE, Swedish ICT, SICS.ORCID iD: 0000-0003-4042-4919
Number of Authors: 1
1999 (English)In: Proceedings of the 4th World Conference on the WWW and Internet, 1999, 1Conference paper, (Refereed)
Abstract [en]

Research in information retrieval has traditionally concentrated on making assumptions about the content of documents based on very shallow semantic analysis through word occurrence statistics of various kinds. But texts are more than bags of words, and the semantic analysis information retrieval systems typically used is overly simple. There is ample reason to try to broaden the view of what text is and why. Better content analysis alone will not be enough. Texts are more than their meaning. Texts have structure, they have context, they are written in a style conformant or discordant to a genre they are to be understood in, they may be carefully written or hastily thrown together, they are written by various types of agent for various reasons. Besides information to be found in the text or from the author, texts are used by readers of various backgrounds, for various reasons, and with varying degree of satisfaction. This paper outlines a framework within which to find more knowledge from texts than an approximation of their topic, and gives examples of how to use this knowledge to design useful tools for information access.

Place, publisher, year, edition, pages
1999, 1.
National Category
Computer and Information Science
Identifiers
URN: urn:nbn:se:ri:diva-21030OAI: oai:DiVA.org:ri-21030DiVA: diva2:1041064
Conference
The 4th World Conference on the WWW and Internet, October 24-30, 1999, Honolulu, Hawaii, USA
Note

Invited talk

Available from: 2016-10-31 Created: 2016-10-31 Last updated: 2016-12-29Bibliographically approved

Open Access in DiVA

fulltext(18 kB)36 downloads
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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf