Browse > Article

Ontology-Based Multi-level Knowledge Framework for a Knowledge Management System for Discrete-Product Development  

Lee, Jae-Hyun (Department of Industrial Engineering, KAIST)
Suh, Hyo-Won (Department of Industrial Engineering, KAIST)
Publication Information
International Journal of CAD/CAM / v.5, no.1, 2005 , pp. 99-109 More about this Journal
Abstract
This paper introduces an approach to an ontology-based multi-level knowledge framework for a knowledge management system for discrete-product development. Participants in a product life cycle want to share comprehensive product knowledge without any ambiguity and heterogeneity. However, previous knowledge management approaches are limited in providing those aspects: therefore, we suggest an ontology-based multi-level knowledge framework (OBMKF). The bottom level, the axiom, specifies the semantics of concepts and relations of knowledge so ambiguity can be alleviated. The middle level is a product development knowledge map; it defines the concepts and the relations of the product domain knowledge and guides the engineer to process their engineering decisions. The middle level is then classified further into more detailed levels, such as generic product level, specific product level, product version level, and manufactured item level, according to the various viewpoints. The top level is specialized knowledge for a specific domain that gives the solution of a specific task or problem. It is classified into three knowledge types: expert knowledge, engineering function knowledge, and data-analysis-based knowledge. This proposed framework is based on ontology to accommodate a comprehensive range of knowledge and is represented with first-order logic to maintain a uniform representation.
Keywords
Ontology; Knowledge framework; Knowledge map; Expert system;
Citations & Related Records
연도 인용수 순위
  • Reference
1 Borst, P., Akkermans, H., and Top, J., (1997), Engineering ontologies, International journal of human-computer studies, 46(2/3), 365-406   DOI   ScienceOn
2 Court, A.W. (1998), Issues for integrating knowledge in new product development: reflections from an empirical study, Knowledge-Based System, 11, 391-398   DOI   ScienceOn
3 Ferguson, E.S. (1992). Engineering and the Mind's Eye, MIT Press, Cambridge, MA
4 Heflin, J. February, (2004), OWL web ontology language use cases and requirements, W3C Recommended. http://www.w3.org/TR/webont-req/
5 Kuffner, T.A. and Ullman, D.G. (1997), The information requests of mechanical design engineers, Design Studies 12(1), 42-50   DOI   ScienceOn
6 Kuokka, D. R., McGuire, J. G., Pelavin, R. N. and Weber, J. C. (1994), SHADE: Technology for knowledge-based collaborative engineering, Artificial intelligence in collaborative design, 245-262
7 Lee, J.H. September, (2004), http://143.248.82.98/DEW05/PROLOG.html
8 Gruninger, M., (1997), Integrated Ontologies for Enterprise Modeling, Enterprise, integration and modeling technology, 1, 368-377
9 Vincenti, W.G. (1990), What engineers know and how they know it: analytical studies from aeronautical engineering, John Hopkins University Press
10 Yoshioka, M. and Tomiyama T. (1997), Pluggable metamodel mechanism: A framework of an integrated design object modelling environment, Computer Aided Conceptual Design '97, Proceedings of the 1997 Lancaster International Workshop on Engineering Design CACD'97, Lancaster University, 57-70
11 Borgida, A., (1996), On the relative expressiveness of description logics and predicate logies, Artificial Intelligence, 82, 353-367   DOI   ScienceOn
12 Stauffer, L.A. and Ullman, D.G. (1991), Fundamental process of mechanical designers based on empirical data, Journal of Engineering Design, 2, 113-125   DOI
13 Matheus, C. J., Kokar, M. M., Baclawski, K., and Letkowski, J. (2003), Constructing RuleML-Based Domain Theories on Top of OWL, Ontologies Lecture notes in computer science, 2876, 81-94   DOI
14 Staab, S. and Maedche, A. (2000), Axioms are objects, too: Ontology Engineering Beyond the Modeling of Concepts and Relations, Workshop on Ontologies and Problem-Solving Methods, Berlin
15 Volz, R., Decker, S., and Oberle, D. (2003), Bubo - Implementing OWL in rule-based systems. WWW2003 May 20-24, Bupest, Hungary
16 Syan, C.S. and Menon, U. (1994), Concurrent Engineering: Concepts, implementation and practice, Chapman & Hall
17 Bratko, I. (2001), Prolog programming for artificial intelligence, Pearson education, 57, ISBN-0201-40375-7
18 Farquhar, A., Fikes, R. and Rice, J., (1997), The Ontolingua Server: a tool for collaborative ontology construction, International journal of human-computer studies, 46(6), 707-727   DOI   ScienceOn
19 Sure, Y., Erdmann, M., Angele, J., Staab, S., Studer, R., and Wenke, D. (2002), OntoEdit: Collaborative Ontology Development for the Semantic Web, Lecture notes in computer science, 2342, 221-235   DOI
20 Cutkosky, M.R., Engelmore, R.S., Fikes, R.E., Genesereth, M.R., Gruber, T.R., Mark, W.S., Tenenbaum, J. M. and Weber, J. C. (1993), PACT: An experiment in integrating concurrent engineering systems, Computer, 26(1),28-37   DOI   ScienceOn
21 Corcho, O. and Perez, A.G. (2000), A Roadmap to Ontology Specification Languages, Lecture notes in computer science, 1937, 80-96   DOI
22 Heijst, G. V., Sabina, F., Ameen, A. H., Guus S., and Mario S., (1995), A case study in ontology library construction, Artificial Intelligence in Medicine, 7, 227-255   DOI   PUBMED   ScienceOn
23 Lee, J.H. September, (2004), http://143.248.82.98/DEW05/OBMKF.html
24 Bock, C. and Gruninger, M., (2004), PSL: A Semantic Domain for Flow Models, Software and Systems Modeling Journal, 4(2), 209-231   DOI   ScienceOn
25 Genesereth, M. R., Knowledge interchange format, http://logic.stanford.edu/kif/dpans.html
26 Gruber, T.R. (1993), A Translation Approach to Portable Ontology Specifications, Knowledge Acquisition, 5, 199-220   DOI   ScienceOn
27 Russel, S. and Norvig, P. (1995), Artificial Intelligence, 2nd edition, Prentice Hall, 272-315
28 Alavi, M and Leidner D.E., (2001), review: Knowledge Management and Knowledge management Systems: conceptual foundations and research issues, mis quaterly, 25(1),107-136   DOI   ScienceOn
29 Baader, F., Calvanese, D., Mcfuinness, D.L., Nardi, D. and Patel-schneider, P.F., (2003), The description logic handbook, Cambridge university press   DOI
30 Guarino, N. (1997). Understanding, building and using ontologies, International journal of human-computer studies, 46(2/3), 293-310   DOI   ScienceOn
31 Bozsak, E., Ehrig, M., Handschuh, S., Hotho, A., Maedche, A., Motik, B., Oberle, D., Schmitz, C., Staab, S. and Stojanovic, L. (2002), KAON - Towards a Large Scale Semantic Web, Lecture notes in computer science, 2455, 304-313   DOI