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Author Hunter, A.
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©1996
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Special computer methods
Subject Keyword Logic ♦ Information retrieval ♦ Petroleum ♦ Databases ♦ Natural languages ♦ Information filtering ♦ Educational institutions ♦ Minerals ♦ Information filters ♦ Routing
Abstract There is a need to develop more intelligent means for handling text in applications such as information retrieval, information filtering, and message classification. This raises the need for mechanisms for ascertaining what an item of text is about. Even though natural language processing offers the best results, it is not always viable. A less accurate, but more viable alternative, is to reason with keywords in the text. Unfortunately, classical reasoning is often inadequate for determining from some keywords what a text is about. In particular it does not allow context-dependent interpretation of keywords. So for example, if some text has the keyword oil, it is usually also about minerals, though with exceptions such as when it has the keyword cooling. To address this kind of problem, we consider a model of "aboutness" based on default logic.
Description Author affiliation: Dept. of Comput., Imperial Coll. of Sci., Technol. & Med., London, UK (Hunter, A.)
ISBN 0818676867
ISSN 10823409
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 1996-11-16
Publisher Place France
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Size (in Bytes) 630.31 kB
Page Count 7
Starting Page 34
Ending Page 40


Source: IEEE Xplore Digital Library