Skip to main content

A Conceptual Model for Capturing and Reusing Knowledge in Business-Oriented Domains

  • Chapter
Industrial Knowledge Management
  • 176 Accesses

Abstract

A considerable amount of important, ‘economically relevant’ information is buried into natural language ‘narrative’ documents. In these, the information content (the ‘meaning’) consists mainly in the description of facts or events relating the real or intended behaviour of some (not necessarily human) actors. In this paper, we describe the methodology used in NKRL (acronym of Narrative Knowledge Representation Language) to accurately represent this meaning. NKRL is a conceptual modelling language that has a long history of successful, concrete applications.

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 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
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. Zani, G.P. (1997) NKRL, a Knowledge Representation Tool for Encoding the ‘Meaning’ of Complex Narrative Texts. Natural Language Engineering 3, 231–253.

    Article  Google Scholar 

  2. Zani, G.P. (1998) Representation of Temporal Knowledge in Events: The Formalism, and Its Potential for Legal Narratives. Information & Communications Technology Law 7, 213–241.

    Article  Google Scholar 

  3. Zani, G.P., Berlino, E., Black, B., Brasher, A., Catania, B., Deavin, D., Di Pace, L., Esposito, F., Leo, P., McNaught, J., Persidis, A., Rinaldi, F. and Semeraro, G. (1999) CONCERTO, An Environment for the ‘Intelligent’ Indexing, Querying and Retrieval of Digital Documents. In: Foundations of Intelligent Systems — Proc. of 11th International Symposium on Methodologies for Intelligent Systems, ISMIS’99. Berlin: Springer-Verlag.

    Google Scholar 

  4. Guarino, N., and Giaretta, P. (1995) Ontologies and Knowledge Bases: Towards a Terminological Clarification. In: Towards Very Large Knowledge Bases — Knowledge Building and Knowledge Sharing, Mars, J.I., ed. Amsterdam: IOS Press.

    Google Scholar 

  5. Fellbaum, C., ed. (1998) WordNet, An Electronic Lexical Database. Cambridge (MA): The MIT Press.

    MATH  Google Scholar 

  6. Bateman, J. A., Magnini, B., and Fabris, G. (1995) The Generalized Upper Model Knowledge Base: Organization and Use. In: Towards Very Large Knowledge Bases — Knowledge Building and Knowledge Sharing, Mars, J.I., ed. Amsterdam: IOS Press.

    Google Scholar 

  7. Lenat, D.B., and Guha, R.V. (1990) Building Large Knowledge Based Systems. Reading (MA): Addison-Wesley.

    Google Scholar 

  8. Heinsohn, J., Kudenko, D., Nebel, B., and Profitlich, H-J.(1994) An Empirical Analysis of Terminological Representation Systems. Artificial Intelligence 68, 367–397.

    Article  MATH  Google Scholar 

  9. Fensel, D., Decker, S., Erdmann, M., Studer, R. (1998) Ontobrocker: Or How to Enable Intelligent Access to the WWW. In: Proc. of the 11th Banff Knowledge Acquisition for KBSs Workshop, KAW’98. Calgary: Dept. of CS of the University.

    Google Scholar 

  10. Heflin, J., Hendler, J., and Luke, S. (1999) SHOE: A Knowledge Representation Language for Internet Applications (Tech. Rep. CS-TR-4078). College Park (MA): Dept. Of CS of the Univ. of Maryland.

    Google Scholar 

  11. Heflin, J., Hendler, J., and Luke, S. (1999) Coping with Changing Ontologies in a Distributed Environment. In: Proc. of the AAAI-99 Workshop on Ontology Management. Menlo Park (CA): AAAI.

    Google Scholar 

  12. Gruber, T.R. (1993) A Translation Approach to Portable Ontology Specifications. Knowledge Acquisition 5, 199–220.

    Article  Google Scholar 

  13. Franconi, E. (1993) A Treatment of Plurals and Plural Quantifications Based on a Theory of Collections. Minds and Machines 3, 453–474.

    Article  Google Scholar 

  14. Zarri, G.P., Azzam, S (1997) Building up and Making Use of Corporate Knowledge Repositories. In: Knowledge Acquisition, Modeling and Management — Proc. of EKAW’97, Plaza, E., Benjamins, R., eds. Berlin: Springer-Verlag.

    Google Scholar 

  15. Hwang, C.H., Schubert, L.K. (1993) Meeting the Interlocking Needs of LF-Computation, Deindexing and Inference: An Organic Approach to General NLU. In: Proc. of the 13th Int. Joint Conf. on Artificial Intelligence. San Francisco: Morgan Kaufmann.

    Google Scholar 

  16. Guarino, N., Carrara, M., Giaretta, P. (1994) An Ontology of Meta-Level Categories. In: Proc. of the 4th Int. Conference on Principles of Knowledge Representation and Reasoning. San Francisco: Morgan-Kaufmann.

    Google Scholar 

  17. Boll, S., Klas, W., Sheth, A. (1998) Overview on Using Metadata to Manage Multimedia Data. In: Sheth, A., Klas, W. (eds.): Multimedia Data Management — Using Metadata to Integrate and Apply Digital Media. New York: McGraw Hill.

    Google Scholar 

  18. Lassila, O., Swick, R.R. (eds.) (1999) Resource Description Framework (RDF) Model and Syntax Specification. .

    Google Scholar 

  19. Jacqmin, S., Zarri, G.P. (1999) Preliminary Specifications of the Template Manager (Concerto NRC-TR-4). Paris: CNRS.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2001 Springer-Verlag London

About this chapter

Cite this chapter

Zarri, G.P. (2001). A Conceptual Model for Capturing and Reusing Knowledge in Business-Oriented Domains. In: Roy, R. (eds) Industrial Knowledge Management. Springer, London. https://doi.org/10.1007/978-1-4471-0351-6_3

Download citation

  • DOI: https://doi.org/10.1007/978-1-4471-0351-6_3

  • Publisher Name: Springer, London

  • Print ISBN: 978-1-4471-1075-0

  • Online ISBN: 978-1-4471-0351-6

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics