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Adding Knowledge-Assistance to PC-Based Photographic Image Database Management Systems

Author

Listed:
  • James M. Ragusa

    (University of Central Florida, USA)

  • Gary W. Orwig

    (University of Central Florida, USA)

  • Dorothy G. Dologite

    (City University of New York, USA)

  • Robert J. Mockler

    (St. John’s University, USA)

Abstract

Many information technology (IT) managers are novices when implementing high-resolution, true color, knowledge-assisted microcomputer photographic image database management systems (IDBMS). Such systems, involving high capacity image data capture, classification, compression, storage, retrieval, and transmission, have not yet been widely described in the literature nor fully implemented in practice. This paper reviews image management fundamentals for emerging digital photographic image data, discusses a prototype system under development to support NASAKennedy Space Center space shuttle ground processing operations, and focuses on the integration of knowledge-based (expert) systems embedded in the prototype to assist in image classification and retrieval. The paper concludes with the design for an integrated high capacity networked PC-LAN IDBMS.

Suggested Citation

  • James M. Ragusa & Gary W. Orwig & Dorothy G. Dologite & Robert J. Mockler, 1993. "Adding Knowledge-Assistance to PC-Based Photographic Image Database Management Systems," Information Resources Management Journal (IRMJ), IGI Global, vol. 6(2), pages 27-36, April.
    • Handle: RePEc:igg:rmj000:v:6:y:1993:i:2:p:27-36
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