Korean Journal of Computational Design and Engineering (한국CDE학회논문집)

Society for Computational Design and Engineering (한국CDE학회)
권호 표지

Semantic Mapping of Terms Based on Their Ontological Definitions and Similarities

온톨로지 기반의 용어 정의 비교 및 유사도를 고려한 의미 매핑

  • 정원철 (LG생산기술연구원 시스템 기술그룹) ;
  • 이재현 (한국과학기술원 산업공학과) ;
  • 서효원 (한국과학기술원 산업공학과)
  • Published : 2006.06.01
Download PDF
⟨ Previous Next ⟩

Abstract

In collaborative environment, it is necessary that the participants in collaboration should share the same understanding about the semantics of terms. For example, they should know that 'COMPONENT' and 'ITEM' are different word-expressions for the same meaning. In order to handle such problems in information sharing, an information system needs to automatically recognize that the terms have the same semantics. So we develop an algorithm mapping two terms based on their ontological definitions and their similarities. The proposed algorithm consists of four steps: the character matching, the inferencing, the definition comparing and the similarity checking. In the similarity checking step, we consider relation similarity and hierarchical similarity. The algorithm is very primitive, but it shows the possibility of semi-automatic mapping using ontology. In addition, we design a mapping procedure for a mapping system, called SOM (semantic ontology mapper).

Keywords

References

  1. Aberdeen Group, 'Collaborative Product Commerce: Delivering Product Innovations at Internet Speed', Market View Point, Vol. 12, No.9, 1999
  2. Kim, K. Y. and Suh, H. W., 'An Approach to Semantic Mapping using Product Ontology for CPC Environment', 한국CAD/CAM 학회집, Vol. 9, No.3, pp. 192-202, 2004
  3. Kurgan, L., Swiercz, W. and Cios, K. J., 'Semantic Mapping of XML Tags using Inductive Machine Learning', Proceedings of the 2002 International Conference on Machine Learning and Applications (ICMLA'02), Las Vegas, Nevada, pp. 99-109, 2002
  4. Vdovjak, R. and Houben, G. J., 'RDF Based Architecture for Semantic Integration of Heterogeneous Information Sources', Workshop on Information Integration On the Web, 2001
  5. Omelayenko, B. and Fensel, D., 'Scalable Document Integration for B2B Electronic Commerce', Special Issue of Electronic Commerce Research Journal on B2B Research, 2001
  6. Wache, R, Vögele, T., Visser, U., Stuckenschmidt, H., Schuster, G., Neumann, Rand Hübner, S., 'Ontology-Based Integration Information: A Survey of Existing Approaches', IJCAI Workshop on Ontologies and Information Sharing, 2001
  7. Preece, A., Hui, K., Gray, A. and Marti, P., 'The KRAFT Architecture for Knowledge Fusion and Transformation', Proceedings of the 19th SGES International Conference on Knowledge-Based Systems and Applied Artificial Intelligence(ES'99), 1999
  8. Mena, E., Kashyap, V., Sheth, A. and Illaramendi, A., 'OBSERVER: An Approach for Query Processing in Global Information Systems Based on Interoperation Across Pre-Existing Ontologies', Proceedings 1st IFCIS International Conference on Cooperative Information Systems, 1996
  9. Stuckenschmidt, H., 'Using OIL for Intelligent Information Inte-gration', Proceedings of the Workshop on Applications of Ontologies and Problem-Solving Methods at ECAI, 2000
  10. Arens, Y., Hsu, C. N. and Knoblock, C. A., 'Query Processing in the SIMS Information Mediator', Advanced Planning Technolog, 1996
  11. Chawathe, S., Garcia-Molina, H., Hammer, J., Ireland, K., Papakonstantinou, Y., Ullman, J. and Widom, J., 'The TSIMMIS Project: Integration of Heterogeneous Information Sources', Conference of the Information Processing Society Japan, 1994
  12. Calvanese, D., Giacomo, G. D., Lenzerini, M., Nardi, D. and Rosati, R., 'Description Logic Framework for Information Integration', Principles of Knowledge Representation and Reasoning: Proceedings of the Sixth International Conference, 1998
  13. Goasdoue, F., Lattes, V. and Rousset, M. C., 'The Use of Carin Lan-guage and Algorithms for Information Integration: The PICSEL System', International Journal of Cooperative Information Systems (IJCIS), 2000
  14. Bozak, E., Ehrig, M., Handschuh, S., Hotho, A., Maedche, A., Motik, B., Oberle, D., Schmitz, c., Staab, S. and Stojanovic, L., 'KAON - Towards a Large Scale Semantic Web', Lecture Note Computer Science, No. 2455, pp. 304-313, 2002
  15. Stuart Russell and Peter Norvig, 'Artificial Intelligence', Prentice Hall, pp. 185-216, 1995