Journal of Ship and Ocean Technology

The Society of Naval Architects of Korea (대한조선학회)
권호 표지

Toward Knowledge-Aided Design & Manufacturing (KAD/KAM)

  • Lee, Kyung-Ho (Department of Naval Architecture and Ocean Engineering, Inha University)
  • Published : 2008.03.31
Download PDF
⟨ Previous Next ⟩

Abstract

The purpose of this paper is to define the concept of KAD/KAM, furthermore is to establish my own idea on the knowledge related works in engineering domain for a next decade ahead. KAD/KAM is represented as "Knowledge Everywhere" based on the concept of ubiquitous computing in engineering domain. At the beginning of the paper, the definition of KAD/KAM is described. And the related technologies to realize KAD/KAM, such as augmented reality, ontology, data mining, and knowledge management, are introduced. The concept of KAD/KAM is still immature. But this will be a new paradigm to change entire engineering environment in near future.

Keywords

References

  1. Berson, A., S. Smith and K. Thearling. 2000. Building Data Mining Application for CRM. McGraw-Hill, New York
  2. Bronsart R., U. Cantow and V. Petkov. 2002. Knowledge Modeling and Implementation Methods in Distributed CAE-Environment. Proc. Of 11th International Conference on Computer Applications in Shipbuilding, Malno in Sweden, 287-298
  3. Gruninger, M. and J. Lee. 2002. Ontology Applications and Design : Introduction. Communications of the ACM, 45, 2, 39-41 https://doi.org/10.1145/585597.585599
  4. Kim, K.-Y. and H.-W. Suh. 2004. An Approach to Semantic Mapping using Product Ontology for CPC Environment. Trans. of the Society of CAD/CAM Engineers, 9, 3, 192-202
  5. Kim, J.-I. 2003. Ubiquitous Computing : How to do?. Communications of the Korean Information Science Society, 21, 5, 5-17
  6. Lampson, B. 2003. Getting Computers to understand. Journal of the ACM, 50, 1, 70-72 https://doi.org/10.1145/602382.602404
  7. Gruber, T. 1993. A translation approach to portable ontologies. Knowledge Acquisition, 5, 2, 199-220 https://doi.org/10.1006/knac.1993.1008
  8. Maedche, A. and S. Staab. 2001. Ontology Learning for the Semantic Web. IEEE Intelligent Systems, 16, 2, 72-79 https://doi.org/10.1109/5254.920602
  9. Lee, K.-H., D.-K. Lee and S.-H. Han. 1996. Object-Oriented Approach to a Knowledge- Based Structural Design System. Expert Systems with Applications, 10, 2, 223-231 https://doi.org/10.1016/0957-4174(95)00048-8
  10. Lee, K.-H., J.-K. Lee and N.-S. Park. 1998. Intelligent Approach to a CAD System for the Layout Design of Ship Engine Room. Computers and Industrial Engineering, 34, 3, 599-608 https://doi.org/10.1016/S0360-8352(97)00319-7
  11. Lee, K.-H. and K.-Y. Lee. 2002. Agent-based Collaborative Design System and Conflict Resolution based on Case-Based Reasoning. AI-EDAM, 16
  12. Lee, K.-H. 2003. Knowledge Management Spectrum and Its Application in Ship and Ocean Engineering. Proc. SNAK 2003 Spring, Chochiwon (In Korean)
  13. Lee, K.-J., J.-K. Lee. and S.-Y. Choi. 1994. Spatial Scheduling Expert Systems for Shipbuilding. Proc. of the 2nd World Congress on Expert Systems, Seoul
  14. Lee, Y.-S., S.-W. Cheon and S.-H. Han. 2004. Building Feature Ontology for CAD System Interoperability. Trans. of the Society of CAD/CAM Engineers, 9, 2, 164-174
  15. Yoo, Y.-M. 1999. Knowledge Management and Knowledge Management System. KPI Publishing Co., Seoul