Concept Presentation Conversion for Cooperative Information Engineering

Abstract:

Concept integration, connection, and reuse are at the heart of Web services. The connection between two concepts can be achieved easily provided both share the same theorematic space. This in turn can be achieved by reusing constructs from foundational concepts and standard domain theme. Although the current produce of concept development methods and tools have made it a lot easier to build a new concept, reusing concepts from existing concepts remains difficult. The main reasons for this are the uncertainty in presentation conversions of concepts from foundational concepts. In this paper we have introduced a novel method for sense certainty to help the human expert in presentation conversion.

• Periodical: Applied Mechanics and Materials (Volumes 63-64)
• Pages: 711-714
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.63-64.711
• Online since: June 2011
• Authors: Dong Mei Chen
• Keywords: Concept, Cooperative, Event Associated, New-Plan, Web Service

References

[1] F. Baader, D. Calvanese, D. McGuinness, D. Nardi, and P. F. Patel-Schneider, editors. The Description Logic Handbook: Theory, Implementation and Applications. Cambridge University Press, (2008).

DOI: 10.1017/cbo9780511711787

[2] C. Elsenbroich, O. Kutz, and U. Sattler. A Case for Abductive Reasoning over Ontologies. In Proc. OWL2006: OWL Experiences and Directions Workshop, (2006).

[3] V. Haarslev, R. Moller, and M. Wessel. RacerPro User's Guide and Reference Manual Version 1. 9. 1, May (2007).

[4] J. R. Hobbs, M. Stickel, D. Appelt, and P. Martin. Transformation as abduction. Artificial Intelligence Journal, Vol. 63, (2007).

[5] A. Kakas and M. Denecker. Abduction in logic programming. In A. Kakas and F. Sadri, editors, Computational Logic: Logic Programming and Beyond. Part I, number 2407 in LNAI, pages 402{436. Springer, (2008).

DOI: 10.1007/3-540-45628-7_16

[6] R. Moller, V. Haarslev, and B. Neumann. Concepts based information finding. In Proc. IT&KNOWS-98: International Conference on Information Technology and Knowledge Systems, 31. August- 4. September, Vienna, Budapest, pages 49{6, (2008).

[7] R. Moller and B. Neumann. Ontology-based reasoning techniques for multimedia transformation and finding. In Semantic Multimedia and Ontologies: Theory and Applications. 2007. To appear.

[8] B. Neumann and R. Moller. On Scene Transformation with Description Logics. In H. Christensen and H. -H. Nagel, editors, Cognitive Vision Systems: Sampling the Spectrum of Approaches, number 3948 in LNCS, pages 247{278. Springer, (2006).

[9] S. E. Peraldi, A. Kaya, S. Melzer, R. Moller, and M. Wessel. Multimedia Transformation as Abduction. In Proc. DL-2007: International Workshop on Description Logics, (2007).

[10] M. Shanahan. Perception as Abduction: Turning Sensor Data Into Meaningful Representation. Cognitive Science, 29 (1): 103{134, (2005).

DOI: 10.1207/s15516709cog2901_5

[11] R. P. Thagard. The best explanation: Criteria for theory choice. The Journal of Philosophy, (1999).