Journal of Systems Integration

, Volume 9, Issue 3, pp 263–278 | Cite as

Managing Knowledge for an Intelligent Document Processing System

  • Jianshun Hu
  • Xuhong Li
  • D. C. Hung
  • Simon Doong
  • Peter A. Ng


In this paper, we describe the representation and organization of the knowledge about the infrastructure of storing documents and about the document base itself, which support fast retrieval of documents and information from various documents. Numerous components of the knowledge base of TEXPROS, such as the system catalog, the frame template base and the frame instance base are discussed.

Intelligent Systems Multimedia Database Applications System Catalog 


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    A. Celentano, M. Fugini, and S. Pozzi, “Knowledge-based document retrieval in office environments: The Kabiria system.” ACM Transactions on Office Information Systems13, pp. 237–268, July 1995.CrossRefGoogle Scholar
  2. 2.
    S. Christodoulaskis, M. Theodoridou, M. P. F. Ho, and A. Pathria, “Multimedia document presentation, information extraction, and document formation in MINOS: A model and system.” ACM Trans. on Office Information Systems4, pp. 345–383, 1986.CrossRefGoogle Scholar
  3. 3.
    D. M. Cleal and N. O. Heaton, Knowledge-Based Systems: Implications for Human-Computer Interfaces. Ellis Horwood Limited: West Sussex, England, 1988.Google Scholar
  4. 4.
    P. R. Cohen and R. Kjeldsen, “Information retrieval by constrained spreading activation in semantic network.” Inf. Process. Manage. 23, 1987.Google Scholar
  5. 5.
    B. V. Dobrov, N. V. Loukachevitch, and T. N. Yudina, “Conceptual indexing using thematic representation of texts,” in Proc. of the Six Text Retrieval Conference (TREC-6), 1998.Google Scholar
  6. 6.
    E. A. Fox, R. Akscyn, R. Furuta, and J. Leggett, “Digital libraries—Introduction.” Communications of the ACM18, pp. 22-29, April 1995.CrossRefGoogle Scholar
  7. 7.
    X. Li, J. Hu, X. Fan, C. Y. Wang, and P. A. Ng, “Automated document filing and retrieval system: An overview,” in Proc. of 3rd Biennial World Conference on Integrated Design and Process Technology, Berlin, Germany, July 1998, pp. 231–241.Google Scholar
  8. 8.
    Q. Liu and P. A. Ng, Document Processing and Retrieval: Text Processing. Kluwer Academic Publishers: Norwell, 1996.Google Scholar
  9. 9.
    T. Malone, K. Grant, K. Lai, R. Rao, and D. Rosenblitt, “Semistructured messages are surprisingly userful for computer-supported coordination.” ACM Trans. on Office Information Systems5, pp. 115–131, 1987.CrossRefGoogle Scholar
  10. 10.
    J. Martin, The Wired Society: A Challenge for Tomorrow. Prentice-Hall: Englewood Cliffs, NJ, 1978.Google Scholar
  11. 11.
    B. McCune et al., “RUBRIC: A system for rule-based information retrieval.” IEEE Trans. on Software Engineering11, pp. 939–945, September 1985.Google Scholar
  12. 12.
    F. Mhlanga, Z. Zhu, J. Wang, and P. Ng, “A new approach to modeling personal office documents.” Data and Knowledge Engineering17, pp. 127–158, November 1995.CrossRefGoogle Scholar
  13. 13.
    G. Salton, J. Allan, and C. Buckley, “Automatic structure and retrieval of large text files.” Communications of the ACM3, pp. 97–108, February 1994.CrossRefGoogle Scholar
  14. 14.
    M. Sneoeck and G. Dedene, “Generalization/specification and role in object oriented conceptual modeling.” Data and Knowledge Engineering19, pp. 171–195, June 1996.CrossRefGoogle Scholar
  15. 15.
    P. Szolovits, “Knowledge-based systems: A survey.” On Knowledge Base Management Systems. Springer Verlag: New York, 1986, pp. 339–352.Google Scholar
  16. 16.
    R. Thomas, H. Forsdick, T. Crowley, R. Schaaf, R. Thomlinson, V. M. Travers, and G. Robertson, “Diamond: A multimedia message system system build on a distributed architecture.” IEEE Computer18, pp. 65–78, December 1985.Google Scholar
  17. 17.
    C. Thanos, Multimedia Office Filing: The MULTOS Approach. Elsevier Science Publishing Co., Inc.: New York, 1990.Google Scholar
  18. 18.
    J. Tydeman, H. Lipinske, R. Adler, M. Nyhan, and L. Zwimpfer, “Teletext and videotext in the United States—Market potential.” Technology, Public Policy Issues. McGraw-Hill: New York, 1982.Google Scholar
  19. 19.
    C. Winkler, “Desktop publishing.” Datamation32, pp. 92–96, December 1986.Google Scholar

Copyright information

© Kluwer Academic Publishers 1999

Authors and Affiliations

  • Jianshun Hu
    • 1
  • Xuhong Li
    • 1
  • D. C. Hung
    • 1
  • Simon Doong
    • 2
  • Peter A. Ng
    • 3
  1. 1.Department of Computer and Information ScienceNew Jersey Institute of TechnologyNewark
  2. 2.Lucent TechnologiesLiberty Corner
  3. 3.Department of Computer Science, College of Information Science and TechnologyUniversity of Nebraska-OmahaOmaha

Personalised recommendations