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Designing Agents for Context-Rich Textual Information Tasks

  • Jyi-Shane Liu
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2413)

Abstract

Much of information and knowledge are documented in free texts. Textual task capabilities and agencies are inevitably essential to successful information services. In this paper, we describe some empirical observations on information tasks in a context rich data domain and attempt to discuss its implications on agent system design. We have developed an agent system with two essential task capabilities - information retrieval and information extraction, which can be built upon for more value-added information services. We observed a number of textual information task characteristics, such as process-centric, independently decomposable operations, indispensable domain knowledge, and user driven task specification, that are influential to designing agent systems. We also propose a conceptual view on system design that considers three agent groups - task agent, knowledge agent, and operation agent. The characterization of agent roles helps determine primary functions needed and set apart stable intermediate forms in the system. Further analysis on relationship among components would reveal major types and patterns of interaction and how the agents should be designed to coordinate with each other.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2002

Authors and Affiliations

  • Jyi-Shane Liu
    • 1
  1. 1.Department of Computer ScienceNational Chengchi UniversityTaipeiTaiwan, R.O.C.

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