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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Lee, J.: Design Rationale Systems: Understanding the Issues. IEEE Expert 12(13), 78–85 (1997)
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)
McCall, R.J.: PHI: A conceptual foundation for design hypermedia. Design Studies 12(1), 30–41 (1991)
MacLean, A., et al.: Questions, Options, and Criteria: Elements of Design Space Analysis. Human-Comput. Interaction 6(3-4), 201–250 (1991)
Lee, J., Lai, K.: What’s in Design Rationale. Human-Comput. Interaction 6(3-4), 251–280 (1991)
OMG: Unified Modeling Language Specification version 1.5 (March 2003)
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)
Gruber, T.R.: A Translation Approach to Portable Ontologies. Knowledge Acquisition (5), 199–220 (1993)
W3C: OWL Web Ontology Language Overview. W3C Recommendation (February 2004)
Kifer, M., Lausen, G.: F-Logic: A Higher-Order Language for Reasoning about Objects, Inheritance and Scheme. ACM SIGMOD May, 134–146 (1989)
Jacobson, I., Booch, G., Rumbaugh, J.: The Unified Software Development Process, 463 p. Addison-Wesley, Reading (1999)
Nilsson, N.: Principles of Artificial Intelligence, 476 p. Morgan Kaufman Publishers, San Francisco (1986)
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)
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)
Potts, C., Bruns, G.: Recording the Reasons for Design Decisions. In: Proceedings of 10th International Conference on Software Engineering, Singapore, pp. 418–427 (1988)
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)
Pena-Mora, F., Vadhavkar, S.: Augmenting Design Patterns with Design Rationale. In: Artificial Intelligence for Engineering Design, Analysis, and Manufacturing, pp. 93–108 (1996)
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)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
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
Download citation
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)