Skip to main content

Part of the book series: Informatik-Fachberichte ((2252,volume 216))

Abstract

This paper focusses on the application of knowledge representation (KR) formalisms. It presents a method supporting a controlled design of domain models expressing certain aspects of the ‘real world’. This includes guidelines for the suitable formal representation of relevant pieces of domain knowledge and rules to assist their correct integration when building a complete model. Furthermore, some measures for assessing the quality of the resulting model are defined.

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 54.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 69.99
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. Brachman R., What ISA is and Isn’t: An Analysis of Taxonomic Links in Semantic Networks. IEEE Computer 16 (10), 30–36, 1983.

    Article  Google Scholar 

  2. Brachman R., Schmölze J., An Overview of the KL-ONE Knowledge Representation System. Cognitive Science, pp. 171–216, August 1985.

    Google Scholar 

  3. Breuker, Joost et al., Model-Driven Knowledge Acquisition: Interpretation Models. Deliverable task AI, Esprit Project 1098, Memo 87, VF Project Knowledge Acquisition in Formal Domains, 1986.

    Google Scholar 

  4. Heyer G., A Frame-Based Approach to Generic Descriptions. In: Krifka M. (ed.): Genericity in Natural Language, SNS-Bericht 88–42, Universität Tübingen, 1988.

    Google Scholar 

  5. Horacek H., Bergmann H., Block R., Fliegner M., Gerlach M., Poesio M., Sprenger M.: From Meaning to Meaning - a Walk through WISBER’s Semantic-Pragmatic Processing. In: Hoeppner W. (ed.): Künstliche Intelligenz GWAI-88, Springer, Berlin, pp. 118–129, 1988.

    Google Scholar 

  6. Schank R., Conceptual Dependency: A Theory of Natural Language Understanding. In: Cognitive Psychology, Vol. 3, pp. 552–631, 1972.

    Article  Google Scholar 

  7. Schank R., Conceptual Information Processing. North-Holland, Amsterdam, 1975.

    MATH  Google Scholar 

  8. Schmölze J., The Language and Semantics of NIKL. Draft paper, BBN Inc., Cambridge, 1985.

    Google Scholar 

  9. Schmiedel A., Peltason C., Nebel B., Luck K. v., “Bitter Pills” - A Case Study in Knowledge Representation, KIT-Report 39, TU Berlin, August 1986.

    Google Scholar 

  10. Woods W., What’s in a Link? Foundations for Semantic Networks. In: Bobrow D., Collins A. (eds.), Representation and Understanding, Academic Press, New York, 1975.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 1989 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Horacek, H. (1989). Towards Principles of Ontology. In: Metzing, D. (eds) GWAI-89 13th German Workshop on Artificial Intelligence. Informatik-Fachberichte, vol 216. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-75100-4_37

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-75100-4_37

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-51743-6

  • Online ISBN: 978-3-642-75100-4

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics