Knowledge-based navigation of complex information spaces

Robin D. Burke*, Kristian J. Hammond, Benjamin C. Young

*Corresponding author for this work

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

105 Scopus citations

Abstract

While the explosion of on-line information has brought new opportunities for finding and using electronic data, it has also brought to the forefront the problem of isolating useful information and making sense of large multi-dimension information spaces. We have built several developed an approach to building data 'tour guides,' called FindMe systems. These programs know enough about an information space to be able to help a user navigate through it. The user not only comes away with items of useful information but also insights into the structure of the information space itself. In these systems, we have combined ideas of instance-based browsing, structuring retrieval around the critiquing of previously-retrieved examples, and retrieval strategies, knowledge-based heuristics for finding relevant information. We illustrate these techniques with several examples, concentrating especially on the RENT ME system, a FIND ME system for helping users find suitable rental apartments in the Chicago metropolitan area.

Original languageEnglish (US)
Title of host publicationProceedings of the National Conference on Artificial Intelligence
Editors Anon
PublisherAAAI
Pages462-468
Number of pages7
Volume1
StatePublished - Dec 1 1996
EventProceedings of the 1996 13th National Conference on Artificial Intelligence, AAAI 96. Part 1 (of 2) - Portland, OR, USA
Duration: Aug 4 1996Aug 8 1996

Other

OtherProceedings of the 1996 13th National Conference on Artificial Intelligence, AAAI 96. Part 1 (of 2)
CityPortland, OR, USA
Period8/4/968/8/96

ASJC Scopus subject areas

  • Software

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