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Knowledge-rich catalog services for engineering design

Published online by Cambridge University Press:  01 November 2003

JIHIE KIM ,
PETER WILL ,
S. RINGO LING  and
BOB NECHES
JIHIE KIM
Affiliation:
University of Southern California, Information Sciences Institute, Marina del Rey, California, USA
PETER WILL
Affiliation:
University of Southern California, Information Sciences Institute, Marina del Rey, California, USA
S. RINGO LING
Affiliation:
University of Southern California, Information Sciences Institute, Marina del Rey, California, USA
BOB NECHES
Affiliation:
University of Southern California, Information Sciences Institute, Marina del Rey, California, USA
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Abstract

The exponential growth of the Internet and increasing communication and computational power have created many opportunities for advancing engineering, manufacturing, and business activities. Among them are electronic catalogs. These have become basic information resources to a number of people, ranging from shoppers looking for personal items to engineers selecting electromechanical parts to build a product. Although rich in content, current catalog systems are limited both in search quality and in realizing the full potential of the retrieved information. The active catalog system brings a conceptually new idea to electronic commerce by providing a new, computationally usable, catalog information environment about components and their use in applications. It utilizes a rich body of domain knowledge to facilitate access and retrieval of component information. The utility of retrieved information is enhanced by using it to rapidly construct simulation programs and test alternatives, supporting a “try before you buy” paradigm in which users evaluate candidate components within simulations of their design. We describe services provided in the active catalog system to support engineers in selecting and evaluating electromechanical components and subsystems. The services include mechanisms for creating queries for parts based on their intended use rather than merely parametric specifications, refining those queries to take account of constraints imposed by domain knowledge, providing multimodal information to help engineers assess and compare candidate parts, and generating simulation models for candidate parts and integrating them to provide simulation models for candidate systems.

Keywords

Dynamic SimulationElectronic CatalogsMultimodal InformationOntology-Based Search

Information

Type
Research Article
Information
AI EDAM , Volume 17 , Issue 4 , November 2003 , pp. 349 - 366
Copyright
2003 Cambridge University Press

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References

REFERENCES

Arens, Y., Knoblock, C., & Hsu, C. (1998). Query processing in the SIMS information mediator. In Readings in Agents (Huns, M.N. & Singh, M.P., Eds.), San Francisco, CA: Morgan Kaufmann.
Barker, K., Blythe, J., Borchardt, G., Chaudhri, V., Clark, P., Cohen, P., Fitzgerald, J., Forbus, K., Gil, Y., Katz, B., Kim, J., King, G., Mishra, S., Murray, K., Otstott, C., Porter, B., Schrag, R., Uribe, T., Usher, & J., Yeh P. (2003). A knowledge acquisition tool for course of action analysis. Proc. Fifteenth Innovative Applications Artificial Intelligence Conf. (IAAI-2003).
BMW. (2003). Available on-line at http://www.bmwusa.com.
Bradley, S., Agogino, A.M., & Wood, W.H. (1994). Intelligent engineering component catalogs. In Artificial Intelligence in Design (Gero, J.S. & Sudweeks, F., Eds.), pp. 641–658. New York: Kluwer Academic.CrossRef
Centor Corp. (1998). Available on-line at http://www.centor.com.
Cohen, P., Schrag, R., Jones, E., Pease, A., Lin, A., Starr, B., Gunning, D., & Burke, M. (1998). The DARPA High Performance Knowledge Base Project. AI Magazine, 19, 4.Google Scholar
Coutinho, M., Eliesh, R., Kim, J., Kumar, V., Ling, R., Neches, R., & Will, P. (1998). Active catalogs: integrated support for component engineering. Proc. American Society of Mechanical Engineers, 18th Computers Engineering Conf.
Eriksson, H., Shahar, Y., Tu, S.W., Puerta, A.R., & Musen, M. (1995). Task modeling with reusable problem-solving methods. Artificial Intelligence, 79, 293–326.CrossRefGoogle Scholar
FastXchange. (2003). Available on-line at http://www.fastxchange.com.
Fowler, J. (1995). STEP for Data Management, Exchange and Sharing. London: Technology Appraisals.
Frank, M. & Szekely, P. (1998). Adaptive forms: an interaction paradigm for entering structured data. Proc. ACM Int. Conf. Intelligent User Interfaces, pp. 153–160.CrossRef
Gaines, B.R., Norrie, D.H., & Lapsley, A.Z. (1995). Mediator: an intelligent information system supporting the virtual manufacturing enterprise. Proc. 1995 IEEE Int. Conf. Systems, Man and Cybernetics, pp. 964–969.CrossRef
Goel, A., Bhatta, S., & Stroulia, E. (1997). Kritik: an early case-based design system. In Issues and Applications of Case-Based Reasoning to Design (Mher, M.L. & Pu, P., Eds.). Mahwah, NJ: Erlbaum.
Google. (2003). Available on-line at http://www.google.com.
InfoSeek. (1998). Available on-line at http://www.infoseek.com.
Iwasaki, Y., Fikes, R., Farquhar, A., & Engelmore, R. (1996). Function-based engineering part retrieval, working notes. AAAI Workshop on Modeling and Reasoning with Function.
Kim, J. & Gil, Y. (2000a). User studies of an interdependency-based interface for acquiring problem-solving knowledge. Proc. ACM Int. Conf. Intelligent User Interfaces, pp. 165–168.
Kim, J. & Gil, Y. (2000b). Acquiring problem-solving knowledge from end users: putting interdependency models to the test. Proc. Seventeenth National Conf. Artificial Intelligence.
Kim, J. & Gil, Y. (2001). Knowledge analysis on process models. Proc. Int. Joint Conf. Artificial Intelligence.
Kim, J., Ling, & S.R., Will. P. (1997). Ontology engineering for active catalog. AAAI Workshop on Using AI in Electronic Commerce, Virtual Organizations and Enterprise Knowledge Management to Reengineer the Corporation.
Landrover. (2003). Available online at http://www.landrover.com.
Ling, S.R., Kim, J., Will, P., & Luo, P. (1997). Active catalog: searching and using catalog information in internet-based design. Proc. DETC ‘97—1997 ASME Design Engineering Technical Conf.
Luo, P. & Will, P. (1996). Active catalog: a knowledge-rich design library facilitating information consumption. ISIP Workshop Series on Knowledge Intensive CAD-2.
MacGregor, R. (1990). LOOM User Manual. Working Paper ISI/WP-22. Marina del Ray, CA: USC/Information Sciences Institute.
MacGregor, R.M. (1994). A description classifier for the predicate calculus. Proc. Twelfth National Conf. Artificial Intelligence.
Marcus, S. & McDermott, J. (1989). SALT: a knowledge acquisition language for propose-and-revise systems. Artificial Intelligence, 39(1), 1–37.CrossRefGoogle Scholar
MATLAB. (2003). Available on-line at http://www.mathworks.com/matlab.html.
McGuire, J.G., Kuokka, D.R., Weber, J.C., Tenenbaum, J.M., Gruber, T.T., & Olsen, G.R. (1993). SHADE: technology for knowledge-based collaboration engineering. Journal of Concurrent Engineering: Applications and Research, 1(3), 137–146.CrossRefGoogle Scholar
Micromo. (2003). Available on-line at http://www.micromo.com.
O'Keefe, R.M.O'Leary, D.E. (1993). Expert system verification and validation: a survey and tutorial. Artificial Intelligence Review, 7, 3–42.CrossRefGoogle Scholar
PartNet. (1998). Available on-line at http://www.partnet.com.
Preece, A.D. (1995). Validation of knowledge based systems: current trends and issues. Knowledge Engineering Review, 10(1), 69–71.CrossRefGoogle Scholar
Saqqara. (1998). Available on-line at http://www.saqqara.com.
Swartout, B. & Gil, Y. (1995). EXPECT: explicit representations for flexible acquisition. Proc. Sixth Banff Knowledge Acquisition for Knowledge-Based Systems Workshop.
Sycara, K., Guttal, R., Koning, J., Narasimhan, S., & Navinchandra, D. (1992). CADET: a case-based synthesis tool for engineering design. International Journal of Expert Systems, 4(2), 167–188.Google Scholar
Tallis, M. (1999). A script-based approach to modifying knowledge-based systems. PhD Thesis. University of Southern California, Computer Science Department, Los Angeles.
Thomas Register. (2003). Available on-line at http://www.thomasregister.com.
Will, P. (1991). Simulation and modeling in early concept design: an industrial perspective. Research in Engineering Design, 3(1), 1–14.CrossRefGoogle Scholar
Wood, W.H. & Agogino, A.M. (1996). Case-based conceptual design information server for concurrent engineering. Computer-Aided Design, 28(5), 361–369.CrossRefGoogle Scholar
Working Model. (2003). San Mateo, CA: Knowledge Revolution.
Yahoo. (2003). Available on-line at http://www.yahoo.com.
Yen, J., Neches, R., Debellis, M., Szekely, P., & Aberg, P. (1991). BACKBORD: an implementation of specification by reformulation. In Architecture for Intelligent Interfaces: Elements and Prototypes, ACM Frontier Series (Sullivan, J. & Typler, S., Eds.), New York: Addison–Wesley.