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Pacific Rim International Conference on Artificial Intelligence

PRICAI 2000: Advances in Artificial Intelligence. PRICAI 2000 Workshop Reader pp 135–146Cite as

Conceptual Structures for Tendering Ontology

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2112))

Abstract

The aim of method presented in this paper is to define the role of conceptual structures in building tendering ontology. More precise, how to use Conceptual Graph to build tendering ontology. We construct our ontologies based on three components: the concepts, the structures, and the contexts. This decomposition facilitates the process of ontology building and reusing. It also helps us to define different types of matching.

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Reference

  1. Nabil Adam, Oktay Dogramaci, Aryya Gangopadhyay, and Yelena Yesha. Electronic Commerce: Technical, Business, and Legal Issues. Prentice Hall (ISBN: 0-13-949082-5, August 1998.

    Google Scholar 

  2. Peder Blomberg and S“ren Lennartsson. Technical assistance in Electronic Tendering Devlopment-FINAL REPORT Technical assistance in electronic procurement to EDI-EEG 12 Sub-group 1. http://simaptest.infeurope.lu/EN/pub/src/main6.htm, June 1997.

  3. C Elkan and R. Greiner. Book review of building large knowledge-based systems: Representation and inference in the cyc project (D.B. Lenat and R.V. Guha). Artificial Intelligence, 61(1):41–52, May 1993.

    Google Scholar 

  4. G. Ellis. Efficient retrieval from hierarchies of objects using lattice operations. Lecture Notes in Computer Science, 699:274–284, 1993.

    Google Scholar 

  5. Gerard Ellis. Ph.D. Thesis: Managing Complex Objects. Computer Science Department, University of Queensland, 1995.

    Google Scholar 

  6. Gerard Ellis, Robert A. Levinson, and Peter J. Robinson. Managing complex objects in pierce. International Journal of Human-Computer Studies, 41(1,2):109–148, 1994.

    Article  Google Scholar 

  7. Adam Farquhar, Richard Fikes, and James Rice. The ontolingua server: A tool for collaborative ontology construction. International Journal of Human-Computer Studies, 46(6):707–727, 1997.

    Article  Google Scholar 

  8. M. Fernandez, A. Gomez-Perez, and N. Juristo. Methodology: From Ontological Art Towards Ontological Engineering. Workshop on Ontological Engineering. ECAI’96 PP 41–51, 1996.

    Google Scholar 

  9. M. Fernandez, A. Gomez-Perez, and J. Sierra. Building a chemical ontology using methodology and the ontology design environment. IEEE Intelligent Systems, 14,1:37–46, 1999.

    Article  Google Scholar 

  10. D. Genest and E. Salvat. A platform allowing typed nested graphs: How CoGITo became CoGITaNT. Lecture Notes in Computer Science, 1453:154–164, 1998.

    Google Scholar 

  11. A. Gomez-Perez and D. Rojas-Amaya. Ontological reengineering for reuse. Lecture Notes in Computer Science, 1621:139–149, 1999.

    Google Scholar 

  12. T.R. Gruber. A translation approach to portable ontology specifications. Knowledge Acquisition, 5(2):199–220, 1993.

    Article  Google Scholar 

  13. Thomas R. Gruber. Toward principles for the design of ontologies used for knowledge sharing. International Journal of Human-Computer Studies, 43(5,6):907–928, 1995.

    Article  Google Scholar 

  14. N. Guarino. Formal ontology and information systems. In Proc. of the 1st International Conference, Trento, Italy, 6-8 June 1998.

    Google Scholar 

  15. Joachim Hammer and Dennis McLeod. An approach to resolving semantic heterogeneity in a federation of autonomous, heterogeneous database systems. Journal for Intelligent and Cooperative Information Systems, 2(1):51–83, 1993.

    Article  Google Scholar 

  16. Z. Hatush. Ph.D. Thesis: Contractor selection using multi-attribute utility theory. School of Construction Management and Property, Queensland University of Technology-Australia, 1996.

    Google Scholar 

  17. James Hendler and Kilian Stoffel. Back-end technology for high-perfoemance knowledge-representation systems. IEEE Intelligent Systems, 14,3:63–69, 1999.

    Article  Google Scholar 

  18. Vipul Kashyap and Amit P. Sheth. Semantic and schematic similarities between database objects: A context-based approach. The VLDB Journal, 5(4):276–304, December 1996.

    Article  Google Scholar 

  19. Ahmad Kayed. Home Page. http://www.csee.uq.edu.au/~kayed/, 2000.

  20. Ahmad Kayed. Building Online Tendering System. Doctoral Consortium, 2000 Pacific Asia Conference on Information Systems (PACIS2000), Hong Kong, June 2000.

    Google Scholar 

  21. Ahmad Kayed and Robert M. Colomb. Infrastructure for electronic tendering interoperability. In The Australian Workshop on AI in Electronic Commerce, conjunction with the Australian Joint Conference on Artificial Intelligence (AI’99) Sydney, Australia, ISBN 0643065520, pages 87–102, Dec. 1999.

    Google Scholar 

  22. Incorporated Merriam-Webster. WWWebster Dictionary. http://www.m-w.com/dictionary, 1999.

  23. G.W. Mineau. The term definition operators of ontolingua and of the conceptual graph formalism: a comparison. In John F. Mineau, Guy W.; Moulin, Bernard; Sowa, editor, Proceedings of the First International Conference on Conceptual Structures for Knowledge Representation (ICCS’ 93), volume 699 of LNAI, pages 90–105, Quebec City, Canada, August 1993. Springer Verlag.

    Google Scholar 

  24. M.L. Mugnier and M. Chein. Characterization and algorithmic recognition of canonical conceptual graphs. Lecture Notes in Computer Science, 699:294–304, 1993.

    Google Scholar 

  25. Guarino N. Semantic matching: Formal ontological distinctions for information organization, extraction, and integration. In M.T. Pazienza (ed.) Information Extraction: A Multidisciplinary Approach to an Emerging Information Technology, Springer Verlag, To appear.

    Google Scholar 

  26. S. Pollitt, A. Burrow, and P.W. Eklund. WebKB-GE-A visual editor for canonical conceptual graphs. Lecture Notes in Computer Science, 1453:111–118, 1998.

    Google Scholar 

  27. J.F. Sowa. Conceptual Structures: Information Processing in Minds and Machines. Addison-Wesley, Reading, Mass., 1984.

    Google Scholar 

  28. J.F. Sowa. Syntax, semantics, and pragmatics of contexts. Lecture Notes in Computer Science, 954:1–39, 1995.

    Google Scholar 

  29. Mike Uschold. Building ontologies: Towards a unified methodology. In 16th Annual Conf. of the British Computer Society Specialist Group on Expert Systems, Cambridge, UK, 1996.

    Google Scholar 

  30. Mike Uschold, Martin King, Stuart Moralee, and Yannis Zorgios. The enterprise ontology. The Knowledge Engineering Review, 13 (Special Issue on Putting Ontologies to Use), 1998.

    Google Scholar 

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Author information

Authors and Affiliations

  1. Computer Science and Electric Engineering, University of Queensland, Brisbane, Australia

    Ahmad Kayed & Robert M. Colomb

Authors
  1. Ahmad Kayed
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  2. Robert M. Colomb
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Editor information

Editors and Affiliations

  1. CSIRO Mathematical and Information Sciences, 723 Swanston Street, Carlton, VIC 3053, Australia

    Ryszard Kowalczyk

  2. School of Computer Science and Information Technology, RMIT University, GPO Box 2476V, Melbourne, VIC 3001, Australia

    Seng Wai Loke

  3. Department of Computer and Information Science, Linköping University, 581 83, Linköping, Sweden

    Nancy E. Reed

  4. CSIRO Mathematical and Information Sciences, GPO Box 664, Canberra, ACT 2601, Australia

    Graham J. Williams

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© 2001 Springer-Verlag Berlin Heidelberg

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Kayed, A., Colomb, R.M. (2001). Conceptual Structures for Tendering Ontology. In: Kowalczyk, R., Loke, S.W., Reed, N.E., Williams, G.J. (eds) Advances in Artificial Intelligence. PRICAI 2000 Workshop Reader. PRICAI 2000. Lecture Notes in Computer Science(), vol 2112. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45408-X_15

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  • DOI: https://doi.org/10.1007/3-540-45408-X_15

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42597-7

  • Online ISBN: 978-3-540-45408-3

  • eBook Packages: Springer Book Archive

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