Skip to main content
Log in

A hierarchical classification mechanism for organization document management

  • Original Article
  • Published:
The International Journal of Advanced Manufacturing Technology Aims and scope Submit manuscript

Abstract

In light of the popularity of digital documents in manufacturing systems and manufacturing support systems, implementation of electronic solutions for enterprise document management is critical for modern enterprises to effectively accumulate domain knowledge. Previously, automatic document classification mechanisms were developed to reduce the human efforts dedicated to document classification. However, these approaches simply focused on single-level document classification and could not exactly meet the organization operation requirements. Due to the complexity of enterprise processes, products, and services, a multilevel document classification methodology for enterprise documents is explored in this research. A silicon intellectual property (SIP) management case is also provided to evaluate the performance of the proposed methodology in the realization of intelligent knowledge management.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Najman L, Gibot O, Berche S (2001) Indexing technical drawings using title block structure recognition. In: Proceedings. The Sixth International Conference on Document Analysis and Recognition, pp 587–591

  2. Summers K (1995) Near-wordless document structure classification. In: Proceedings of the Third International Conference on Document Analysis and Recognition 1:462–465

  3. Watanabe T, Luo Q, Yoshida T, Inagaki Y (1991) A stepwise recognition method of library cataloging cards on the basis of various kinds of knowledge. In: Proceedings, The Tenth Annual International Phoenix Conference on Computers and Communications, pp 821–827

  4. Sun M-T, Hou J-L (2003) The architecture and models for security reasoning in an EDMS. J Chinese Inst Ind Eng 20(4):305–316

    Google Scholar 

  5. Wei C-S, Liu Q, Wang JTL, Ng PA (1997) Knowledge discovering for document classification using tree matching in TEXPROS. Inf Sci 100(1–4):255–310

    Google Scholar 

  6. Salton G, McGill MJ (1983) Introduction to modern information retrieval. McGraw-Hill, New York

  7. Buckley C, Salton G, Allan J (1994) The effect of adding relevance information in a relevance feedback environment. In: Proceedings of SIGIR’94, pp 292–300

  8. Haruechaiyasak C, Shyu M-L, Chen S-C (2002) Web document classification based on fuzzy association. In: Proceedings of the 26th Annual International Computer Software and Applications Conference, pp 487–492

  9. Farkas J (1993) Neural networks and document classification. In: Proceedings of the Canadian Conference on Electrical and Computer Engineering 1:1–4

  10. Farkas J (1995) Towards classifying full-text using recurrent neural networks. In: Proceedings of the Canadian Conference on Electrical and Computer Engineering 1:511–514

  11. Dasigi V (1998) Information fusion experiments for text classification. In: Proceedings of the IEEE Information Technology Conference, pp 23–26

  12. Celmins A (2000) Classification by attribute evaluation. In: Proceedings of the 19th International Conference of the North American Fuzzy Information Processing Society, pp 123–127

  13. Martin-Bautista MJ, Vila M-A, Sanchez D, Larsen HL (2000) Fuzzy genes: improving the effectiveness of information retrieval. In: Proceedings of the 2000 Congress on Evolutionary Computation 1:471–478

  14. Silva J, Mexia J, Coelho A, Lopes G (2001) Document clustering and cluster topic extraction in multilingual corpora. In: Proceedings IEEE International Conference on Data Mining, pp 513–520

  15. Salvador NS, Evangelos T, Donald K (2002) A feature mining based approach for the classification of text documents into disjoint classes. Inf Process Manage 38(4):583–604

    Article  Google Scholar 

  16. Liu C-H, Lu C-C, Lee W-P (2000) Document categorization by genetic algorithms. In: Proceedings of IEEE International Conference on Systems, Man, and Cybernetics 5:3868–3872

  17. Ng Y-K, Tang J, Goodrich M (2001) A binary-categorization approach for classifying multiple-record Web documents using application ontologies and a probabilistic model. In: Proceedings, Seventh International Conference on Database Systems for Advanced Applications pp 58–65

  18. Lam W, Chao Y-H (1999) Modeling textual document classification. In: Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics 3:946–949

  19. Lee H-M, Chen C-M, Tan C-C (2001) An intelligent web-page classifier with fair feature-subset selection. In: Proceedings of the IFSA World Congress and 20th NAFIPS International Conference 1:395–400

  20. Hahn J (1999) The committee support system. Comput Stand Interfaces 20(4):231–241

    Article  Google Scholar 

  21. Benchiao J (1998) RADIUS: rapid application delivery, installation and upgrade system. In: Proceedings, Technology of Object-Oriented Languages, pp 180–186

  22. Dengel A (1997) Bridging the media gap from the Guthenberg’s world to electronic document management systems. In: Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, Computational Cybernetics and Simulation 4:3540–3545

  23. Hou J-L, Chou H-C (2002) A model for electronic document authentication and management. In: Proceedings of the 30th International Conference on Computers and Industrial Engineering, pp 317–322

  24. Liu SC, Liu SY (2003) An efficient expert system for machine fault diagnosis. Int J Adv Manuf Technol 21(9):691

    Article  Google Scholar 

  25. Lin S-H, Chen M-C, Ho J-M, Huang Y-M (2002) ACIRD: intelligent internet document organization and retrieval. IEEE Trans Knowl Data Eng 14(3):599–614

    Article  Google Scholar 

  26. Tang J, Goodrich M, Ng Y-K (2001) A binary-categorization approach for classifying multiple-record web documents using application anthologies and a probabilistic model. In: Proceedings of 7th International Conference on Database Systems for Advanced Applications, pp 58–65

  27. Mostafa J, Lam W (2000) Automatic classification using supervised learning in a medical document filtering application. Inf Process Manage 36(3):415–444

    Article  Google Scholar 

  28. Hou J-L, Chan C-A (2003) A knowledge content extraction model using keyword correlation analysis. Int J Electron Bus Manage 1(1):54–62

    Google Scholar 

  29. Trappey CV, Trappey AJC, Wen KA, Hsu F-C (2002) Defining IP mall business models and processes for Taiwan’s national si-soft project. In: Proceedings, IP Based SOC Design 2002, Grenoble, France, pp 165–170

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jiang-Liang Hou.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Hou, JL., Lin, FH. A hierarchical classification mechanism for organization document management. Int J Adv Manuf Technol 28, 417–427 (2006). https://doi.org/10.1007/s00170-004-2230-4

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00170-004-2230-4

Keywords

Navigation