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Kuaba Ontology: Design Rationale Representation and Reuse in Model-Based Designs

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Conceptual Modeling – ER 2005 (ER 2005)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 3716))

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Abstract

This paper presents the Kuaba Ontology, a knowledge representation model for Design Rationale described in an ontology definition language. The representation of this model in a specific ontologies specification language, such as OWL or F-Logic, allows attributing semantics to recorded Design Rationale content, and defining rules that enable performing computable operations to support the use of Design Rationale in the design process of new artifacts. In addition, we propose to support the software design process through the use of the semantic descriptions defined by formal models of the artifacts. Representing Design Rationale using an ontology definition language and the artifacts formal model, enables a type of software reuse at the highest abstraction level, where rationales are re-employed in designing a new artifact. This kind of reuse is possible in knowledge domains where there are formal models describing the artifacts, in particular, in the Software Design domain.

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References

  1. Lee, J.: Design Rationale Systems: Understanding the Issues. IEEE Expert 12(13), 78–85 (1997)

    Article  Google Scholar 

  2. Kunz, W., Rittel, H.W.J.: Issues as Elements of Information Systems. Institute of Urban and Regional Development Working Paper 131, Univ. of California, Berkeley, CA (1970)

    Google Scholar 

  3. McCall, R.J.: PHI: A conceptual foundation for design hypermedia. Design Studies 12(1), 30–41 (1991)

    Article  Google Scholar 

  4. MacLean, A., et al.: Questions, Options, and Criteria: Elements of Design Space Analysis. Human-Comput. Interaction 6(3-4), 201–250 (1991)

    Article  Google Scholar 

  5. Lee, J., Lai, K.: What’s in Design Rationale. Human-Comput. Interaction 6(3-4), 251–280 (1991)

    Article  Google Scholar 

  6. OMG: Unified Modeling Language Specification version 1.5 (March 2003)

    Google Scholar 

  7. Medeiros, A.P., Schwabe, D., Feijó, B.: A Design Rationale Representation for Model-Based Designs in Software Engineering. In: Proceedings of the CAiSE 2005 Forum, Porto, Portugal, June 2005, pp. 163–168 (2005)

    Google Scholar 

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

    Google Scholar 

  9. W3C: OWL Web Ontology Language Overview. W3C Recommendation (February 2004)

    Google Scholar 

  10. Kifer, M., Lausen, G.: F-Logic: A Higher-Order Language for Reasoning about Objects, Inheritance and Scheme. ACM SIGMOD May, 134–146 (1989)

    Google Scholar 

  11. Jacobson, I., Booch, G., Rumbaugh, J.: The Unified Software Development Process, 463 p. Addison-Wesley, Reading (1999)

    Google Scholar 

  12. Nilsson, N.: Principles of Artificial Intelligence, 476 p. Morgan Kaufman Publishers, San Francisco (1986)

    Google Scholar 

  13. Noy, N.F., et al.: Creating Semantic Web Contents with Protégé-2000. IEEE Intelligent Systems, Special Issue on Semantic Web 16(2), 60–71 (2001)

    Google Scholar 

  14. Doan, A., et al.: Learning to Map between Ontologies on the Semantic Web. In: Proceedings of the 11th World Wide Web Conference (WWW 2002), Honolulu, Hawaii, USA (May 2002)

    Google Scholar 

  15. Potts, C., Bruns, G.: Recording the Reasons for Design Decisions. In: Proceedings of 10th International Conference on Software Engineering, Singapore, pp. 418–427 (1988)

    Google Scholar 

  16. Lee, J.: Extending the Potts and Bruns Model for Recording Design Rationale. In: Proceedings of the 13th International Conference on Software Engineering, Austin, TX, pp. 114–125 (1991)

    Google Scholar 

  17. Pena-Mora, F., Vadhavkar, S.: Augmenting Design Patterns with Design Rationale. In: Artificial Intelligence for Engineering Design, Analysis, and Manufacturing, pp. 93–108 (1996)

    Google Scholar 

  18. Burge, J., Brown, D.C.: Rationale Support for Maintenance of Large Scale Systems. In: Workshop on Evolution of Large Scale Industrial Software Applications (ELISA), ICMS 2003, Amsterdam, NL (2003)

    Google Scholar 

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© 2005 Springer-Verlag Berlin Heidelberg

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de Medeiros, A.P., Schwabe, D., Feijó, B. (2005). Kuaba Ontology: Design Rationale Representation and Reuse in Model-Based Designs. In: Delcambre, L., Kop, C., Mayr, H.C., Mylopoulos, J., Pastor, O. (eds) Conceptual Modeling – ER 2005. ER 2005. Lecture Notes in Computer Science, vol 3716. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11568322_16

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  • DOI: https://doi.org/10.1007/11568322_16

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-29389-7

  • Online ISBN: 978-3-540-32068-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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