Skip to main content
  • 1087 Accesses

Abstract

Currently, ontology is a widely-spread term in the area of information technology. The research and development of smart data or semantic techniques is all based on the concept. RDF (Resource Definition Framework), OWL (Web Ontology Language) and so forth are its new applications. IDEF5 was developed for ontology capture. The syntax and semantics of IDEF5 are introduced. Other widely used ontology modeling methods are mentioned too. A subject-oriented knowledge formalization method is also offered to illustrate the usage of ontology capture.

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

Access this chapter

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Benjamin P C, et al. Information Integration for Concurrent Engineering (IICE) IDEF5 Method Report. KBSI Co., 1994.

    Google Scholar 

  2. Knowledge Based Systems Laboratory, Texas A&M University. IDEF5 Ontology Description Capture Method: Concept Paper. NASA-CR-190285, 1990.

    Google Scholar 

  3. Gruber T R. A Translation Approach to Portable Ontologies. Knowledge Acquisition 5(2): 199–220, 1993.

    Article  Google Scholar 

  4. Knublauch H. Ontology Design and Software Technology. http;//protege.stanford.edu/plugins/xmi/2003-06-12SMI-Knublauch.pdf, 2003.

    Google Scholar 

  5. Thomas W. Logic for Computer Science: The Engineering Challenge. Dagstuhl Anniversary Conference, 2000.

    Google Scholar 

  6. Riesbeck C, Schank R. Inside Case-Based Reasoning. Lawrence Erlbaum, 1989.

    Google Scholar 

  7. McUmber W E, Cheng B H C. A General Framework for Formalizing UML with Formal Languages. Proceedings of the 23rd international conference on Software Engineering, 2001.

    Google Scholar 

  8. Davis R, Shrobe H, Szolovits P. What is a Knowledge Representation?. AI Magazine, 14(1), 17–33, 1993.

    Google Scholar 

  9. Schwitter R. A Controlled Natural Language Layer for the Semantic Web. 18th Australian Joint Conference on Artificial Intelligence, 2005.

    Google Scholar 

  10. Zhou X, Li Q, Ludwig L, Chen Y L. Subject-Oriented Knowledge Formalization: Method and Prototype. The 2006 IEEE/WIC/ACM International Conference on Web Intelligence (WI — 06), 2006.

    Google Scholar 

  11. Ludwig L, O’Sullivan D, Zhou X. Artificial Memory Prototype for Personal Semantic Subdocument Knowledge Management (PS-KM). 3rd International Semantic Web Conference, 2004.

    Google Scholar 

  12. Decker S. Semantic Web Methods for Knowledge Management. PhD. dissertation, University of Karlsruhe, 2002.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

Copyright information

© 2009 Higher Education Press, Beijing and Springer-Verlag GmbH Berlin Heidelberg

About this chapter

Cite this chapter

Li, Q., Chen, YL. (2009). Ontology Capture Methods. In: Modeling and Analysis of Enterprise and Information Systems. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-89556-5_12

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-89556-5_12

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-89555-8

  • Online ISBN: 978-3-540-89556-5

Publish with us

Policies and ethics