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Title

Tasks as context for intelligent agents

Author(s)

Lister, Kendall;  Sterling, Leon

Abstract

The context of a statement or assertion can be critical to a useful understanding of its meaning. In huge knowledge bases such as the CYC project, capturing context explicitly encounters significant problems. Research at the Intelligent Agent Lab at The University of Melbourne has been investigating lightweight approaches to incorporating context in the construction of knowledge-based information agents. The prototypical example of a successful agent built in the lab is SportsFinder. SportsFinder extracts sporting match results from a large variety of web sites without any formal knowledge representation. This is a task for which understanding the context of knowledge on the web pages is critical, as the individual elements that make up a page of sports results are very ambiguous without consideration of the surrounding information. This paper advocates incorporating context via a task specification, without resort to general purpose knowledge techniques.

Publication type

Conference paper

Source

Proceedings of the IEEE/WIC International Conference on Intelligent Agent Technology (IAT 2003), 13-17 October 2003, Halifax, Canada / Jiming Liu, Boi Faltings, Ning Zhong, Ruqian Lu and Toyoaki Nishida (eds.), pp. 154-160

Publication year

2003

FOR Code(s)

0801 Artificial Intelligence and Image Processing

Keyword(s)

Knowledge-based information agents;  SportsFinder

Publisher

IEEE

ISBN

9780769519319, 0769519318

Publisher URL

http://www.ieee.org/

Copyright

Copyright © 2003 IEEE. Published version of the paper reproduced here in accordance with the copyright policy of the publisher. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

Full text

Peer reviewed