A comprehensive agent-based architecture for intelligent information retrieval in a distributed heterogeneous environment

  • Authors:

  • Neal G. Shaw;Ahmad Mian;Surya B. Yadav

  • Affiliations:

  • Department of Information Systems and Management Sciences, College of Business Administration, University of Texas at Arlington, Box 19437, Arlington, TX 76019-0437, USA;FILECONTROL.COM, Houston, TX, USA;Area of ISQS, College of Business Administration, Texas Tech University, Lubbock, TX 79409-2101, USA

  • Venue:
  • Decision Support Systems
  • Year:
  • 2002

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Abstract

The Internet has become the global infrastructure supporting information acquisition and retrieval from many heterogeneous data sources containing high-speed text and rich multimedia images, audio, and video. AgentRAIDER is an ongoing research project at Texas Tech University designed to develop a comprehensive architecture for an intelligent information retrieval system with distributed heterogeneous data sources. The system is designed to support intelligent retrieval and integration of information from the Internet. Current systems of this nature focus only on specific aspects of the distributed heterogeneous problem such as database queries or information filtering. Consequently, these concepts and others have never been successfully integrated into a unified, cohesive architecture. This paper discusses the design and implementation of the AgentRAIDER system and identifies areas for applications of the system in various domains.