Abstract
This paper presents a predicate-driven document filing system for organizing and automatically filing documents. A document model consists of two basic elements: frame templates representing document classes, and folders which are repositories of frame instances. The frame templates can be organized to form a document type hierarchy, which helps classify and file documents. Frame instances are grouped into a folder on the basis of user-defined criteria, specified as predicates which determine whether a frame instance belongs to a folder. Folders can naturally organized into a folder organization which represents the user's real world document filing system. The predicate consistency problem is discussed to eliminate two abnormalities from a folder organization: inapplicable edges (filing paths) and redundant folders. An evaluating net (including an association dictionary, an instantiation component and a production system) is then proposed for evaluating whether a frame instance satisfies the predicate of a folder during document filing. And the concept of consistency a rule base is also discussed.
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References
H. Adeli.Knowledge Engineering. McGraw-Hill, New York, 1990.
A. Celentano, M.G. Fugini, and S. Pozzi. Querying Office Systems about Document Roles. InProc. of the 14th Annual Int. ACM/SIGIR Conf. on Research and Development in Information Retrieval, pages 183–189, Chicago, Illinois, October 1991.
A. Celentano, M.G. Fugini, and S. Pozzi. Knowledge-Based Document Retrieval in Office Environments: The Kabiria System.ACM Transactions on Office Information Systems, 13(3):237–268, July 1995.
S. Christodoulakis, M. Theodoridou, F. Ho, M. Papa, and A. Pathria. Multimedia Document Presentation, Information Extraction, and Document Formation in MINOS: A Model and System.ACM Transactions on Office Information Systems, 4(4):345–383, October 1986.
W.F. Clocksin and C.S. Mellish.Programming in Prolog. Springer-Verlag, New York, 1981.
W.B. Croft and D. W. Stemple. Supporting Office Document Architectures with Constrained Types. InProc. of ACM SIGMOD International Conf. on Management of Data, pages 504–509, 1987.
P. Dadam and V. Linnemann. Advanced Information Management (AIM): Advanced Database Technology for Integrated Applications.IBM Systems Journal, 28(4):661–681, 1989.
S. Gibbs and D. Tsichritzis. A Data Modeling Approach for Office Information Systems.ACM Transactions on Office Information Systems, 1(4):299–319, October 1983.
X. Hao.Automatic Office Document Classification and Information Extraction. PhD Thesis, Department of Computer and Information Science, New Jersey Institute of Technology, Newark, New Jersey, August 1995.
X. Hao, J.T.L. Wang, M.P. Bieber, and P.A. Ng. Heuristic Classification of Office Documents.International Journal of Artificial Intelligence Tools, 3(2):233–265, 1994.
X. Hao, J.T.L. Wang, and P.A. Ng. Nested Segmentation: An Approach for Layout Analysis in Document Classification. InProc. of the Second International Conference on Document analysis and Recognition, pages 319–322, Tsukuba Science City, Japan, October 1993.
Q. Liu and P.A. Ng. A Browser of Supporting Vague Query Processing in an Office Document System.Journal of Systems Integration, 5(1):61–82, 1995.
Q. Liu and P.A. Ng. A Query Generalizer for Providing Cooperative Responses in an Office Document System (revised version). Submitted to Data and Knowledge Engineering Journal, October 1995.
Q. Liu and P.A. Ng.Document Processing and Retrieval: Text Processing. Kluwer Academic Publishers, 1996.
Q. Liu, J.T.L. Wang, and P.A. Ng. An Office Document Retrieval System with the Capability of Processing Incomplete and Vague Queries. InProc. of the Fifth Intl. Conf. on Software Engineering and Knowledge, pages 11–17, San Francisco, CA, June 1993.
Q. Liu, J.T.L. Wang, and P.A. Ng. On Research Issues Regarding Uncertain Query Processing In An Office Document Retrieval System.Journal of Systems Integration, 3(2):163–194, 1993.
F. Mhlanga, J.T.L. Wang, T.H. Shiau, and P.A. Ng. A Query Algebra for Office Documents. InProc. of the 2nd Intl. Conf. on Systems Integration, pages 458–467, Morristown, New Jersey, June 1992.
F. Mhlanga, Z. Zhu, J.T.L. Wang, and P.A. Ng. A New Approach to Modeling Personal Office Documents.Data and Knowledge Engineering, 17(2):127–158, November 1995.
S. Pozzi and A. Celentano. Knowledge-Based Document Filing.IEEE Expert, pages 34–45, October 1993.
F.Y. Shih, S. Chen, D.C.D. Hung, and P.A. Ng. A Document Segmentation, Classification and Recognition System. InProceedings of 2nd International Conference on Systems Integration, pages 258–267, Morristown, NJ, June 1992.
C. Thanos.Multimedia Office Filing: The MULTOS Approach. Elsevier Science Publishers B. V., 1990.
J.T.L. Wang, F.S. Mhlanga, Q. Liu, W.C. Shang, and P.A. Ng. An Intelligent Documentation Support Environment. InProc. of the Fifth International Conference on Software Engineering and Knowledge Engineering, pages 429–436, San Francisco, CA, June 1993.
J.T.L. Wang, F.S. Mhlanga, and P.A. Ng. A New Approach to Modeling Office Documents.ACM SIGOIS Bulletin, 14(2):46–55, December 1993.
J.T.L. Wang and P.A. Ng. TEXPROS: An Intelligent Document Processing System.International Journal of Software Engineering and Knowledge Engineering, 15(4):171–196, April 1992.
C. Wei, J.T.L. Wang, X. Hao, and P.A. Ng. In Deductive Learning and Knowledge Representation for Document Classification: The TEXPROS Approach. InProceedings of 3rd International Conference on Systems Integration, pages 1166–1175, Sao Paulo, SP, Brazil, August 1994.
Z. Zhu.Document Filing based upon Predicates. PhD Thesis proposal, Department of Computer and Information Science, New Jersey Institute of Technology, Newark, New Jersey, October 1994.
Z. Zhu, J.A. McHugh, J.T.L. Wang, and P.A. Ng. A Formal Approach to Modeling Office Information Systems.Journal of Systems Integration, 4(4):373–403, December 1994.
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This work was supported by the Separately Budgeted Research (SBR) grant (No. 421190) from New Jersey Institute of Technology and the Systems Integration Program grant from AT&T Foundation
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Zhu, Z., Liu, Q., Mchugh, J.A. et al. A predicate-driven document filing system. Journal of Systems Integration 6, 241–259 (1996). https://doi.org/10.1007/BF02265088
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DOI: https://doi.org/10.1007/BF02265088