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The Need Language: A Preliminary Report

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Part of the Advances in Intelligent and Soft Computing book series (AINSC,volume 76)

Abstract

Knowledge representation is a key task of both computing science and programming practice. Suffice it to say that any program is a knowledge representation of a certain problem solution. However till now there are no means for the representation of application problems’ decision methods, for the representation of the environments making these problems, and for the representation of the communications between different knowledge environments. Today’s evolution of IT requires such knowledge representation tools. This paper proposes a knowledge representation language that allows a system of knowledge to be represented in a comfortable way for wide range of users and for automatic and semi-automatic problem solving in a suitable form.

Keywords

  • semantics
  • ontology
  • reasoning
  • domain knowledge representation
  • Need Satisfaction Domain
  • constructive element
  • a target activity
  • a local target activity
  • resource
  • Need Language

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References

  1. Noy, N., Fergerson, R.W., Musen, M.A.: The knowledge model of Protégé-2000: combining interoperability and flexibility (Retrieved October 11, 2004)

    Google Scholar 

  2. Ahsan-ul Murshed, M., Singh, R.: Evaluation And Ranking of Ontology Construction Tools, University of Trento Department of Information and Communication Technology, Technical Report # DIT-05-013

    Google Scholar 

  3. Resource Description Framework, http://www.w3.org/RDF/

  4. OWL Web Ontology Language Overview, W3C Recommendation (February 10, 2004), http://www.w3.org/TR/owl-features/

  5. Lloyd, J.W.: Practical Advantages of Declarative Programming. In: Proceedings of the 1994 Joint Conference on Declarative Programming (1994)

    Google Scholar 

  6. Kowalski, R.A.: Algorithm = Logic + Control. CACM 22(7) (1979)

    Google Scholar 

  7. Turner, D.A.: Programs as executable specifications. In: Hoare, C.A.R., Shepherdson, J.C. (eds.) Mathematical Logic and Programming Languages (1985)

    Google Scholar 

  8. McCarthy, J.: Programs With Common Sense. Computer Science Department. Stanford University, Stanford, CA 94305

    Google Scholar 

  9. Abramovich, A.: Domain knowledge representation, SKLSE, Wuhan University, China

    Google Scholar 

  10. Evans, E.: Domain-Driven Design - Tackling Complexity in the Heart of Software. Addison-Wesley, Reading (2004)

    Google Scholar 

  11. Sowa, J.F.: Semantic Networks, Encyclopedia of Artificial Intelligence (1987) (Retrieved April 29, 2008)

    Google Scholar 

  12. Hjørland, B., Albrechtsen, H.: Toward A New Horizon in Information Science: Domain Analysis. Journal of the American Society for Information Science, 1995 46(6), 400–425 (1995)

    CrossRef  Google Scholar 

  13. Petras, V.: Translating Dialects in Search: Mapping between Specialized Languages of Discourse and Documentary Languages. University of California, Berkeley (2006) (Dissertation), http://www.ischool.berkeley.edu/~vivienp/diss/vpetras-dissertation2006-official.pdf

  14. RDF Semantics, W3C Recommendation (February 10, 2004), http://www.w3.org/TR/rdf-mt/

  15. Pinkal, M., Koller, A.: Semantic Theory, Lexical Semantics (Summer 2005), http://www.coli.uni-saarland.de/courses/semantics-05/lectures/lect13.pdf

  16. Bunge, M.: Causality: The Place of the Causal Principle in Modern Science. Harvard University Press, Cambridge (1959)

    Google Scholar 

  17. Iscoe, N.: Domain modeling-overview &Ongoing research at EDS. In: Proceedings of the 15th international conference on Software Engineering, Baltimore, Maryland, United States, pp. 198–200

    Google Scholar 

  18. Aamodt, A.: A knowledge representation system for integration of general and case-specific knowledge, Tools with Artificial Intelligence. In: Proceedings of Sixth International Conference, New Orleans, LA, USA, November 6-9, pp. 836–839 (1994)

    Google Scholar 

  19. Bahrami, M., Kaviani, S.: A New Method for Knowledge Representation in Expert System’s (XMLKR). In: First International Conference on Emerging Trends in Engineering and Technology, ICETET 2008, July 16-18, pp. 326–331 (2008)

    Google Scholar 

  20. Sun, Y., Zhiping, L.: Ontology-based domain knowledge representation. In: Processings of 2009 4th International Conference on Computer Science & Education, pp. 174–177 (2009)

    Google Scholar 

  21. Tian, F., LiRen, Y., Kuroiwa, F.: Ontology based domain knowledge construction. In: Natural Language Processing and Knowledge Engineering, August 30-September 1, pp. 176–182 (2007)

    Google Scholar 

  22. Greiner, R., Lenat, D.: A representation language lanuage. In: Proceeding AAAI 1980, pp. 165–169. Morgan Kaufmann, San Francisco (1980)

    Google Scholar 

  23. Wilensky, R.: Knowledge respresentation, a critique and a proposal. In: Kolodener, J.L., Riesbeack, C.K. (eds.) Experience, memory and resoning, pp. 12–28. Lawrence Erlbaum, Mahwah (1986)

    Google Scholar 

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Abramovich, A. et al. (2010). The Need Language: A Preliminary Report. In: Bastiaens, T.J., Baumöl, U., Krämer, B.J. (eds) On Collective Intelligence. Advances in Intelligent and Soft Computing, vol 76. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14481-3_10

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  • DOI: https://doi.org/10.1007/978-3-642-14481-3_10

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-14480-6

  • Online ISBN: 978-3-642-14481-3

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