Semantic reconciliation across design and manufacturing knowledge models: A logic-based approach

Applied Ontology

Volumn 6, Issue 4, 2011, Pages 295-315

  Chungoora, N ^a   Young, R I M ^a  

^a LOUGHBOROUGH UNIVERSITY   (United Kingdom)

Author keywords

Common Logic; Design and manufacture; heavyweight ontology; interoperability; ontology alignment; ontology mapping

Indexed keywords

COMMON LOGIC; INTEROPERABILITY FRAMEWORK; KNOWLEDGE MODEL; LOGIC-BASED APPROACH; MANUFACTURING KNOWLEDGE; ONTOLOGY ALIGNMENT; ONTOLOGY MAPPING; ONTOLOGY-BASED; PRODUCT-LIFE-CYCLE; SEMANTIC CORRESPONDENCE; SEMANTIC RECONCILIATION; SHARING KNOWLEDGE;

INTEROPERABILITY; LIFE CYCLE; MANUFACTURE; PRODUCT DESIGN; SEMANTICS;

ONTOLOGY;

EID: 84856506866     PISSN: 15705838     EISSN: 18758533     Source Type: Journal    
DOI: 10.3233/AO-2011-0092     Document Type: Article

References (33)

1. Bock, C. & Gruninger, M. (2005). PSL: a semantic domain for flow models. Software Systems Modeling, 4, 209-231. (Pubitemid 40736681)
2. Borgo, S. & Leitão, P. (2008). Foundations for a core ontology of manufacturing. In Ontologies: A Handbook of Principles, Concepts and Applications in Information Systems (pp. 751-776). New York, NY: Springer-Verlag.
3. Chungoora, N. (2010). A framework to support semantic interoperability in product design and manufacture. PhD thesis, Loughborough University, Loughborough, UK.
4. Chungoora, N. & Young, R.I.M. (2011). The configuration of design and manufacture knowledge models from a heavyweight ontological foundation. International Journal of Production Research, 49(15), 4701-4725.
5. Cutting-Decelle, A.F., Dubois, A.M. & Dubois, J.E. (2002). An information system for the building industries: a communication approach based on industrial components. Data Science Journal, 1(2), 257-270.
6. Dani, S., Harding, J.A., Case, K., Young, R.I.M., Cochrane, S., Gao, J. & Baxter, D. (2006). A methodology for best practice knowledge management. Proceedings of the IMechE, Part B: Journal of Engineering Manufacture, 220(10), 1717-1728.
7. Das, B., Cutting-Decelle, A.F., Young, R.I.M., Case, K., Rahimifard, S., Anumba, C.J. & Bouchlaghem, N. (2007). Towards the understanding of the requirements of a communication language to support process interoperation in cross-disciplinary supply chains. International Journal of Computer Integrated Manufacturing, 20(4), 396-410. (Pubitemid 46574045)
8. Delugach, H.S. (2005). Common Logic in support of metadata and ontologies. In Open Forum 2005 on Metadata Registries, PowerPoint Presentation.
9. Euzenat, J. & Shvaiko, P. (2007). Ontology Matching. Berlin: Springer-Verlag.
10. Fenves, S.J., Foufou, S., Bock, C. & Sriram, R.D. (2005). CPM: a Core Product Model for product data. Journal of Computing and Information Science in Engineering, 5, 238-246.
11. Gruninger, M. & Kopena, J.B. (2005). Planning and the process specification language. In Workshop on the Role of Ontologies in Planning and Scheduling (ICAPS 2005), Monterey, CA, USA.
12. Gunendran, A.G. & Young, R.I.M. (2006). An information and knowledge framework for multi-perspective design and manufacture. International Journal of Computer Integrated Manufacturing, 19(4), 326-338. (Pubitemid 43791607)
13. Hameed, A., Preece, A. & Sleeman, D. (2004). Ontology reconciliation. In S. Staab and R. Studer (Eds.), Handbook on Ontologies (pp. 231-250). Berlin: Springer-Verlag.
14. Highfleet (2010). Available at: http://www.highfleet.com.
15. ISO (2005). Industrial automation systems and integration-process specification language, ISO 18629. Geneva, Switzerland: International Organization for Standardization (ISO).
16. ISO (2006). STEP-mechanical product definition for process planning using machining features, ISO 10303-224. Geneva, Switzerland: International Organization for Standardization (ISO).
17. ISO (2007). Information Technology-Common Logic (CL): a framework for a family of logic-based languages, ISO/IEC 24707. Geneva, Switzerland: International Organization for Standardization (ISO).
18. Kalfoglou, Y. & Schorlemmer, M. (2003). Ontology mapping: the state of the art. Knowledge Engineering Review, 18(1), 1-31.
19. Knowledge Frame Language (KFL) Reference (2010). Document supplied with the installation of Highfleet Integrated Ontology Development Environment (IODE).
20. Kugathasan, P. &McMahon, C. (2001).Multiple viewpoint models for automotive body-in-white design. International Journal of Production Research, 39(8), 1698-1705.
21. Libes, D., Barkmeyer, E.J., Denno, P., Flater, D., Steves, M.P., Wallace, E. & Feeney, A.B. (2004). The AMIS approach to systems integration: an overview. National Institute of Standards and Technology. NISTIR 7101. Available at: http://www.nist. gov/manuscript-publication-search.cfm?pub-id=822162.
22. Lin, H.K., Harding, J.A. & Teoh, P.C. (2005). An inter-enterprise semantic web system to support autonomy and conflict moderation. Proceedings of the IMechE, Part B: Journal of Engineering Manufacture, 219(12), 903-911. (Pubitemid 41738496)
23. Liping, Z., Guangyao, L., Yongquan, L. & Jing, S. (2007). Design of ontology mapping framework and improvement of similarity computation. Journal of Systems Engineering and Electronics, 18(3), 641-645.
24. Maedche, A., Motik, B., Silva, N. & Volz, R. (2002). A MApping FRAmework for distributed ontologies. In Proceedings of the 13th International Conference on Knowledge Engineering and Knowledge Management, Ontologies and the Semantic Web, LNCS (Vol. 2473, pp. 235-250). London, UK: Springer-Verlag.
25. Noy, N.F. & Musen, M.A. (2003). The PROMPT suite: interactive tools for ontology merging and mapping. International Journal of Human-Computer Studies, 59, 983-1024.
26. Obrst, L. (1997). Constraints and agents in MADEsmart. In Proceedings of 1997 AAAI Workshop on Constraints and Agents, July 27, Providence, RI, USA.
27. Pouchard, L., Ivezic, N. & Schlenoff, C. (2000). Ontology engineering for distributed collaboration in manufacturing. In Proceedings of the AIS2000 Artificial Intelligence and Simulation Conference, Tuscon, AZ, USA.
28. Rabe, M. & Gocev, P. (2008). Semantic web framework for rule-based generation of knowledge and simulation of manufacturing systems. In K. Mertins, R. Ruggaber, K. Popplewell and X. Xu (Eds.), Enterprise Interoperability III: New Challenges and Industrial Approaches (pp. 397-409). London, UK: Springer-Verlag.
29. Shilliday, A., Taylor, J., Clark, M. & Bringsjord, S. (2010). Provability-based semantic interoperability for information sharing and joint reasoning. In L. Obrst, T. Janssen & W. Ceusters (Eds.), Ontologies and Semantic Technologies for Intelligence (pp. 109-128), Frontiers in Artificial Intelligence and Applications (Vol. 213). Amsterdam: IOS Press.
30. Shvaiko, P. & Euzenat, J. (2008). Ten challenges for ontology matching. In Proceedings of the 7th International Conference on Ontologies, Databases and Applications of Semantics, Monterrey, Mexico. Berlin: Springer-Verlag.
31. Stumme, G. & Maedche, A. (2001). FCA-Merge: bottom-up merging of ontologies, In Proceedings of the 7th International Conference on Artificial Intelligence, Seattle, WA, USA (pp. 225-230). San Francisco, CA: Morgan Kaufmann.
32. Subrahmanian, E., Rachuri, S., Fenves, S.J., Foufou, S. & Sriram, R.D. (2005). Challenges in supporting product design and manufacturing in a networked economy: A PLM perspective. In Proceedings of the International Conference on Product Lifecycle Management (pp. 495-506).
33. Young, R.I.M., Chungoora, N., Usman, Z., Anjum, N., Gunendran, G., Palmer, C., Harding, J. & Case, K. (2010). An exploration of foundation ontologies and verification methods for manufacturing knowledge sharing. In Workshop on Interoperability for Enterprise Software and Applications (I-ESA), 13 April, 2010, Coventry, UK.