Journal of Systems Integration

, Volume 5, Issue 1, pp 61–82 | Cite as

A browser of supporting vague query processing in an office document system

  • Qianhong Liu
  • Peter A. Ng


DOCPROS (DOCument PROcessing System) is an intelligent document processing and retrieval system; it supports storing, extracting, classifying, categorizing, retrieving and browsing information from a variety of office documents. This article presents a portion of the retrieval subsystem of DOCPROS for processing vague queries in which the user may only have a vague retrieval target. That is, the user does not know exactly what kinds of information he needs until some kind of description is displayed to him. A browsing mechanism is employed for such situations to assist the user in the retrieval process.


document classification filing and retrieval dual data model generalization and specialization metadata and domain knowledge 


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    R. G. Cattell, “An entity-based databased interface” inProceedings of the ACM SIGMOD International Conference on Management of Data, Santa Monica, CA, May 1980, pp. 144–150.Google Scholar
  2. 2.
    M. P. Consens and A. O. Mendelzon, “Hy + A hygraph-based query and visualization system,” inProceedings of ACM SIGMOD International Conference on Management of Data, Washington, D.C., June 1993, pp. 511–516.Google Scholar
  3. 3.
    A. D'Atri and L. Tarantino, “From browsing to querying,”IEEE Data Engineering 12(2), pp. 46–53, June 1989.Google Scholar
  4. 4.
    C. Herot, “Spatial management of data,”ACM Transactions on Database Systems 5(4), pp. 493–513, December 1980.CrossRefGoogle Scholar
  5. 5.
    Q. H. Liu, “An office document retrieval system with the capability of processing incomplete and vague queries.” Ph.D. Thesis, Department of Computer and Information Science, New Jersey Institute of Technology, July 1994.Google Scholar
  6. 6.
    P. Martin, I. A. MacLeod, and B. Nordia, “A design of a distributed full text retrieval system,” inProceedings of the 9th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 1986, pp. 131–137.Google Scholar
  7. 7.
    J. Mayfield and C. Nicholas, “SNITCH: Augmenting hypertext documents with a semantic net.”International Journal of Intelligent and Cooperative Information Systems 2(3), pp. 335–351, 1993.CrossRefGoogle Scholar
  8. 8.
    F. S. Mhlanga, “D-model and D-algebra: A data model and algebra for office documents.” Ph.D. thesis, Department of Computer and Information Science, New Jersey Institute of Technology, May 1993.Google Scholar
  9. 9.
    A. Motro, “BAROQUE: A browser for relational databases.”ACM Transactions on Office Information Systems 4(2), pp. 161–181, April 1986.Google Scholar
  10. 10.
    J. M. Smith and D. C. P. Smith, “Database abstractions: Aggregation and generalization.”ACM Transactions on Database Systems 2(2), pp. 105–133, 1977.CrossRefGoogle Scholar
  11. 11.
    M. Stonebraker and J. Kalash, “TIMBER: A sophisticated relation browser,” inProceedings of the 8th International Conference on Very Large Data Bases, Mexico City, Mexico, September 1982, pp. 1–10.Google Scholar

Copyright information

© Kluwer Academic Publishers 1995

Authors and Affiliations

  • Qianhong Liu
    • 1
  • Peter A. Ng
    • 1
  1. 1.Institute for Integrated Systems Research, Department of Computer and Information ScienceNew Jersey Institute of TechnologyNewarkUSA

Personalised recommendations