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Agent-Enabled Decision Support for Information Retrieval in Technical Fields

  • Conference paper
Book cover Knowledge-Based Intelligent Information and Engineering Systems (KES 2006)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4252))

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Abstract

Information retrieval (IR) is challenging for a non-expert who operates in a technical area such as medical terminology. Since IR is essentially a decision making process, experience with the design of intelligent decision support systems is relevant. Intelligent agents can assist the user during decision making, and, by extension, in IR to locate the desired information. This paper presents an extension to an IR system for a medical application in which the user lacks the descriptive vocabulary needed to retrieve the resources. Agents continuously seek information on behalf of the user and are autonomous, proactive, communicative, mobile, goal-driven and persistent in order to retrieve information on behalf of the user.

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Phillips-Wren, G. (2006). Agent-Enabled Decision Support for Information Retrieval in Technical Fields. In: Gabrys, B., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2006. Lecture Notes in Computer Science(), vol 4252. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11893004_67

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  • DOI: https://doi.org/10.1007/11893004_67

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-46537-9

  • Online ISBN: 978-3-540-46539-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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