Ontology construction for technical domains

  • Jan Benjamin
  • Pim Borst
  • Hans Akkermans
  • Bob Wielinga
Theoretical and General Issues
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1076)


An important recent idea to facilitate knowledge sharing is to provide libraries of reusable components (models, ontologies) to end users. However, when libraries become large, finding the right library components is a knowledge demanding task in itself. Our suggestion therefore is that methods will be needed that help the user to gradually construct such knowledge. This paper describes a framework how to do this for reasoning in technical domains. We then show how an application ontology can be incrementally constructed with our framework, for the domain of heat exchangers.


Heat Exchanger Physical Object Waste Heat Recovery Construction Type Technical Domain 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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  1. Akkermans, J. M., Borst, P., Pos, A., & Top, J. (1995). Experiences in conceptual modelling for a mechatronic design library. In Gaines, B. & Musen, M., editors, Proceedings of the ninth international knowledge acquisition workshop KAW'95, pages volume 2, pages 39.1–39.15. University of Calgary, SRDG Publications.Google Scholar
  2. Benjamin, J. (1995). Towards generic ontologies.Google Scholar
  3. Borst, P., Akkermans, H., Pos, A., & Top, J. (1995). The physsys ontology for physical systems. In Working papers of the ninth international workshop on qualitative reasoning, pages 11–21. Department of Social Science Informatics (SWI), University of Amsterdam.Google Scholar
  4. Gruber, T. R. (1993). A translation approach to portable ontology specifications. Knowledge Acquisition, 5:199–220.Google Scholar
  5. Guarino, N., Carrara, M., & Giaretta, P. (1994). An ontology of meta-level categories. In Doyle, J., Sandewall, E., & Torasso, P., editors, Principles of knowledge representation and reasoning: proceedings of the fourth international conference (KR94), San Mateo, California. Morgan Kaufmann.Google Scholar
  6. Incropera, F. P. & Dewitt, D. P. (1988). Fundamentals of heat and mass transfer. New York, Wiley.Google Scholar
  7. Klinker, G., Bhola, C., Dallemagne, G., Marques, D., & McDermott, J. (1990). Usable and reusable programming constructs. In Proceedings 5th AAAI-sponsored Knowledge Acquisition for Knowledge Based Systems Workshop, pages 14–1–14–20, Banff, Canada. SRDG Publications, University of Calgary.Google Scholar
  8. Scholander, P. (1958). Counter current exchange, a princple of biology. Collected reprints Contribution No. 983, Woods hole oceanographic institute.Google Scholar
  9. Schreiber, A. T., Wielinga, B. J., & Jansweijer, W. H. J. (1995). The KACTUS view on the’ O’ word. In IJCAI Workshop on Basic Ontological Issues in Knowledge Sharing. Also in: J. C. Bioch and Y.-H. Tan (eds.). Proceedings 7th Dutch National Conference on Artificial Intelligence NAIC'95, EURIDIS, Erasmus University Rotterdam, The Netherlands, pp. 159–168, 1995.Google Scholar
  10. Sowa, J. (1995). Top-level ontological categories. Int. J. of Human Computer Studies, 43:669–685.Google Scholar
  11. Top, J., Borst, P., & Akkermans, H. (1995). Reusable thermodynamic model components for design. OLMECO deliverable, ESPRIT project 6521 OLMECO/WP2T45/ECN/01/4.0, ECN and University of Twente.Google Scholar
  12. van Heijst, G. (1995). The role of ontologies in knowledge engineering. PhD thesis, University of Amsterdam, SWI.Google Scholar
  13. van Heijst, G., Falasconi, S., Abu-Hanna, A., Schreiber, A. T., & Stefanelli, M. (1995). A case study in ontology library construction. Artificial Intelligence in Medicine, 7(5):227–255.Google Scholar
  14. Walker, G. (1982). Industrial heat exchangers — a bask guide. Hemisphere Publishing Corporation.Google Scholar
  15. Wiederhold, G. (1994). An algebra for ontology composition. Technical report, ARPA & Stanford University.Google Scholar
  16. Wielinga, B. J., Schreiber, A. T., & Breuker, J. A. (1993). Modelling expertise. In Schreiber, A. T., Wielinga, B. J., & Breuker, J. A., editors, KADS: A Principled Approach to Knowledge-Based System Development, pages 21–46. London, Academic Press.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1996

Authors and Affiliations

  • Jan Benjamin
    • 1
  • Pim Borst
    • 2
  • Hans Akkermans
    • 2
  • Bob Wielinga
    • 1
  1. 1.Social Science InformaticsUniversity of AmsterdamWB AmsterdamThe Netherlands
  2. 2.Information Systems Department INF/ISUniversity of TwenteAEThe Netherlands

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