Finding specific information on the Web can be difficult and time‐consuming due to the Web’s tremendous size and the current speed of network connections. Information agents that search the Web on behalf of users are invaluable. Since information needs are diverse, there should be tools for users to build their own agents that specialize in finding the information they want. These tools should be usable by non‐programmers. This paper describes ARIS, a shell for constructing information agents without coding. Our approach is akin to expert system shells, where the user supplies the knowledge for each specialist agent, and a common engine utilizes the agents’ knowledge. An agent’s search is guided by knowledge about how Web sites in a given domain are typically structured. We also report on our experiences with two agents built using ARIS.
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1 May 1999
Research Article|
May 01 1999
A knowledge‐based approach to domain‐specialized information agents
Seng Wai Loke;
Seng Wai Loke
Seng Wai Loke is a Research Fellow in the Intelligent Agent Laboratory, Department of Computer Science and Software Engineering, University of Melbourne, Australia
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Leon Sterling;
Leon Sterling
Leon Sterling is Professor and Head of the Department of Computer Science and Software Engineering, University of Melbourne, Australia
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Liz Sonenberg
Liz Sonenberg
Liz Sonenberg is an Associate Professor in the Department of Computer Science and Software Engineering, University of Melbourne, Australia
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Publisher: Emerald Publishing
Online ISSN: 2054-5657
Print ISSN: 1066-2243
© MCB UP Limited
1999
Internet Research (1999) 9 (2): 140–152.
Citation
Wai Loke S, Sterling L, Sonenberg L (1999), "A knowledge‐based approach to domain‐specialized information agents". Internet Research, Vol. 9 No. 2 pp. 140–152, doi: https://doi.org/10.1108/10662249910264909
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