Agent-enabled decision support for information retrieval in technical fields

  • Authors:
  • Gloria Phillips-Wren

  • Affiliations:
  • Loyola College in Maryland, Baltimore, MD

  • Venue:
  • KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part II
  • Year:
  • 2006

Quantified Score

Hi-index 0.00

Visualization

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.