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Managing Knowledge for an Intelligent Document Processing System

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Journal of Systems Integration

Abstract

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.

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References

  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.

    Article  Google Scholar 

  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.

    Article  Google Scholar 

  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. P. R. Cohen and R. Kjeldsen, “Information retrieval by constrained spreading activation in semantic network.” Inf. Process. Manage. 23, 1987.

  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.

  6. E. A. Fox, R. Akscyn, R. Furuta, and J. Leggett, “Digital libraries—Introduction.” Communications of the ACM18, pp. 22-29, April 1995.

    Article  Google Scholar 

  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.

  8. Q. Liu and P. A. Ng, Document Processing and Retrieval: Text Processing. Kluwer Academic Publishers: Norwell, 1996.

    Google Scholar 

  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.

    Article  Google Scholar 

  10. J. Martin, The Wired Society: A Challenge for Tomorrow. Prentice-Hall: Englewood Cliffs, NJ, 1978.

    Google Scholar 

  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. 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.

    Article  Google Scholar 

  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.

    Article  Google Scholar 

  14. M. Sneoeck and G. Dedene, “Generalization/specification and role in object oriented conceptual modeling.” Data and Knowledge Engineering19, pp. 171–195, June 1996.

    Article  Google Scholar 

  15. P. Szolovits, “Knowledge-based systems: A survey.” On Knowledge Base Management Systems. Springer Verlag: New York, 1986, pp. 339–352.

    Google Scholar 

  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. C. Thanos, Multimedia Office Filing: The MULTOS Approach. Elsevier Science Publishing Co., Inc.: New York, 1990.

    Google Scholar 

  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. C. Winkler, “Desktop publishing.” Datamation32, pp. 92–96, December 1986.

    Google Scholar 

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Hu, J., Li, X., Hung, D.C. et al. Managing Knowledge for an Intelligent Document Processing System. Journal of Systems Integration 9, 263–278 (1999). https://doi.org/10.1023/A:1026436525484

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  • DOI: https://doi.org/10.1023/A:1026436525484