Skip to main content

KATS: A Knowledge Acquisition Tool Based on Electronic Document Processing

  • Conference paper
Engineering Knowledge in the Age of the Semantic Web (EKAW 2004)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3257))

Abstract

This paper describes a particular knowledge acquisition tool for the construction and maintenance of the knowledge model of an intelligent system for emergency management in the field of hydrology. This tool has been developed following an innovative approach directed to end-users non familiarized in computer oriented terminology. According to this approach, the tool is conceived as a document processor specialized in a particular domain (hydrology) in such a way that the whole knowledge model is viewed by the user as an electronic document. The paper first describes the characteristics of the knowledge model of the intelligent system and summarizes the problems that we found during the development and maintenance of such type of model. Then, the paper describes the KATS tool, a software application that we have designed to help in this task to be used by users who are not experts in computer programming. Finally, the paper shows a comparison between KATS and other approaches for knowledge acquisition.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Alonso, M., Cuena, J., Molina, M.: SIRAH: An Architecture for a Professional Intelligence. In: Carlucci, L. (ed.) ECAI Conference 1990, Pitman (1990)

    Google Scholar 

  2. Angele, J., Fensel, D., Landes, D., Neubert, S., Studer, R.: Model-Based and Incremental Knowledge Engineering: The MIKE Approach. In: Cuena, J. (ed.) En Knowledge Oriented Software Design. Elservier, Amsterdam (1993)

    Google Scholar 

  3. Barnes-Lee, T., Hendler, J., Lassila, O.: The Semantic Web. Scientific American (May 2001)

    Google Scholar 

  4. Blythe, J., Kim, J., Ramachandran, S., Gil, Y.: An Integrated Environment for Knowledge Acquisition. In: Proc. International Conference on Intelligent User Interfaces (2001)

    Google Scholar 

  5. Brown, D., Chandrasekaran, B.: Design Problem-solving: Knowledge Structures and Control Strategies. Morgan Kaufmann, San Francisco (1989)

    Google Scholar 

  6. Clancey, W.J.: Heuristic Classification. Artificial Intelligence 27, 289–350 (1985)

    Article  Google Scholar 

  7. Cuena, J., Molina, M.: The role of knowledge modelling techniques in software development: a general approach based on a knowledge management tool. International Journal of Human-Computer Studies (52), 385–421 (2000)

    Google Scholar 

  8. Cuena, J., Molina, M.: A Multiagent System for Emergency Management in Floods. In: En Multiple Approaches to Intelligent Systems, 12th International Conference on Industrial Applications of Artificial Intelligence and Expert Systems, IEA/AIE 1999, El Cairo, Egipto (1999)

    Google Scholar 

  9. Domingue, J.: Tadzebao and WebOnto: Discussing, Browsing and Editing Ontologies on the Web. In: Proc. of the Eleventh Workshop on Knowledge Acquisition, Modeling and Management, Banff, Canada (1998)

    Google Scholar 

  10. Eshelman, L., Ehret, D., McDermott, J., Tan, M.: MOLE: a Tenacious Knowledge- Acquisition Tool. Academic Press Inc., London (1987)

    Google Scholar 

  11. Farquhar, A., Fikes, R., Rice, J.: The Ontolingua Server: a Tool for Collaborative Ontology Construction. International Journal of Human-Computer Studies 46, 707–727 (1997)

    Article  Google Scholar 

  12. Fensel, D., Angele, J., Landes, D.: KARL: A Knowledge Acquisition and Representation Language. In: Proc. Expert Systems and their Applications, Avignon (1991)

    Google Scholar 

  13. Grosso, W.E., Eriksson, H., Fergerson, R.W., Gennari, J.H., Tu, S.W., Musen, M.A.: Knowledge Modeling at the Millennium (The Design and Evolution of Protege 2000). In: Twelfth Banff Workshop on Knowledge Acquisition, Modeling and Management, Banff, Alberta (1999)

    Google Scholar 

  14. Gruber, T.R.: A translation approach to portable ontology specifications. Knowledge Acquisition 6(2), 199–221 (1993)

    Article  Google Scholar 

  15. Hendler, J., Feigenbaum, E.A.: Knowledge Is Power: The Semantic Web Vision. In: Zhong, N., Yao, Y., Ohsuga, S., Liu, J. (eds.) WI 2001. LNCS (LNAI), vol. 2198, p. 18. Springer, Heidelberg (2001)

    Chapter  Google Scholar 

  16. ISX: ISX Corporation, LOOM Users Guide, Version 1.4 (1991), http://www.isi.edu/isd/ontosaurus.html

  17. Macintyre, A.: KREST User Manual 2.5. Wrije Universiteit Brussel, AI-lab, Brussels (1993)

    Google Scholar 

  18. Marcus, S., McDermott, J.: SALT: A Knowledge Acquisition Language for Propose-and- Revise Systems. Artificial Intelligence 39(1) (1989)

    Google Scholar 

  19. McGuinness, D.L., Fikes, R., Rice, J., Wilder, S.: An Environment for Merging and Testing Large Ontologies. In: Proc. of the Seventh International Conference on Principles of Knowledge Representation and Reasoning, Breckenridge, Colorado (2000)

    Google Scholar 

  20. Molina, M., Blasco, G.: A Multi-agent System for Emergency Decision Support. In: Liu, J., Cheung, Y.-m., Yin, H. (eds.) IDEAL 2003. LNCS, vol. 2690. Springer, Heidelberg (2003)

    Google Scholar 

  21. Molina, M., Blasco, G.: Using Electronic Documents for Knowledge Acquisition and Model Maintenance. In: Palade, V., Howlett, R.J., Jain, L. (eds.) KES 2003. LNCS, vol. 2774, pp. 1357–1364. Springer, Heidelberg (2003)

    Chapter  Google Scholar 

  22. Molina, M., Garrote, L.: Decision support for flash flood early warning using Bayesian networks. Journal of Hydrology (in press)

    Google Scholar 

  23. Schreiber, G., Akkermans, H., Anjewierden, A., De Hoog, R., Shadbolt, N., Van de Velde, W., Wielinga, B.: Knowledge engineering and management. The CommonKADS methodology. MIT Press, Cambridge (2000)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2004 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Molina, M., Blasco, G. (2004). KATS: A Knowledge Acquisition Tool Based on Electronic Document Processing. In: Motta, E., Shadbolt, N.R., Stutt, A., Gibbins, N. (eds) Engineering Knowledge in the Age of the Semantic Web. EKAW 2004. Lecture Notes in Computer Science(), vol 3257. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30202-5_27

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-30202-5_27

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-23340-4

  • Online ISBN: 978-3-540-30202-5

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics