• No results found

Expert System Development Tools John Durkin

6. THE FUTURE

6.6. W ORLD W IDE W EB

One very specialized area where we should see expert system applications in the future is in the areas of the internet and the World Wide Web (WWW). The WWW is growing exponentially, and so is the quantity of information that resides there. Even with the presently available search engines, intelligently navigating the WWW is a non-trivial task. Within seconds, these engines provide a list of sites where you can obtain information on the search subject. That's the good news. The bad news is that all too often there is either too much information to digest or irrelevant information. Infoseek's CEO Robin Johnson comments, "The best search engine is the one between your ears," -- a target familiar to expert system developers. The meteoric rise in the interest in the internet, coupled with the need for intelligent information retrieval, will serve as a magnet to expert system developers. Several expert system vendors, recognizing the potential of this emerging market, have already begun to offer internet-related products. Some of these have products that enable the WWW to serve as a front-end to server-based expert systems. They include Exsys, Neuron Data, Talarian, Inference, and Gensym. Level5 Research offers Level5 Quest, a fuzzy search and retrieval tool, which can be used for searching internet database applications by WWW browsers. We should see considerable AI activity in this area in the future, and tool vendors should be there quickly to support the effort.

Previous Table of Contents Next

footer nav

Use of this site is subject certain Terms & Conditions.

Copyright (c) 1996-1999 EarthWeb, Inc.. All rights reserved. Reproduction in whole or in part in any form or medium without express written permission of EarthWeb is prohibited. Please read our privacy policy for details.

Brought to you by EarthWeb

IT Library Logo Click

Here!

Click Here!

Search the site:

EXPERT SEARCH ---Programming Languages Databases Security Web Services Network Services Middleware Components Operating Systems User Interfaces Groupware & Collaboration Content Management Productivity Applications Hardware Fun & Games

EarthWeb Direct EarthWeb Direct Fatbrain Auctions Support Source Answers

Previous Table of Contents Next

REFERENCES

Aikens, J.S., J.C. Kunz, and E.H. Shortliffe, PUFF: an expert system for interpretation of

pulmonary function data, Computers and Biomedical Research, Vol. 16, pp. 199-208, 1983. Arentoft, M., et al., OPTIMUM-AIV: a planning and scheduling system for spacecraft AIV,

1991 Goddard Conference on Space Applications of Artificial Intelligence, NASA Publication 3110, pp. 3-13, May 13-15, 1991.

Arai, K., Y. Yamashita, and R. Mizoguchi, Shell for signal interpretation expert systems, Expert Systems with Applications, Vol. 5, No. 3-4, pp. 219-232, 1992.

Carnes, J. and D. Cutts, FMEAssist: a knowledge-based approach to failure modes and effects analysis, Third Conference on Artificial Intelligence for Space Applications, Part 1, NASA Conference Publication 2492, pp. 187-191, Nov. 2-3, 1987.

Chang, G., C. Chin, and N. Kartam, Selection of expert system shells for traffic signal

design, Journal of Advanced Transportation, Vol. 26, No. 3, pp. 241-273, Winter 1992. Citrenbaum, R., J.R. Geissman, and R. Schultz, Selecting a shell, AI Expert, pp. 30-39, Sept.

1987.

Cowles, S., L. Fesq, A. Stephan, and E. Wild, Expert systems: a new approach to spacecraft autonomy, TRW Space & Defense Quest, pp. 33-49, Summer 1990.

Daqing, H., M. McLeish, and A. Zhi, A decision support system for expert system shell evaluation and selection, Proceedings of Moving Towards Expert Systems Globally in the 21st Century, Lisbon/Estoril, Portugal, Publisher: Cognizant Commun. Corp., Elmsford, NY, pp. 768-74, Jan. 10-14, 1994.

Darwiche, A., R. Levitt, and B. Hayes-Roth, OARPLAN: generating project plans by reasoning

about objects, actions and resources, Artificial Intelligence for Engineering Design, Analysis and Manufacturing, Vol. 2, No. 3, 1989.

Devedzic, V. and R. Krtolica, Development of an expert system shell for robotics and FMS

applications, Proceedings of the IASTED International Symposium. Expert Systems Theory and Applications, Zurich, Switzerland, pp. 205-7, June 26-28, 1989.

Devedzic, V. and D. Velasevic, Implementing a real-time expert system shell, ICARCV '92,

Second International Conference on Automation, Robotics and Computer Vision, Nanyang Technol. Univ., Singapore, IEE, Inst. Meas. & Control, Econom., Vol. 3, pp. 1-5, Sept. 16-18, 1992.

Doyle, R.J., A truth maintenance system, Artificial Intelligence, Vol. 12, 1979. Doyle, R.J., S.M. Sellers, and D.J. Atkinson, Predictive monitoring based on causal

simulation, Proceedings of the Second Annual Research Forum, Moffett Field, CA: NASA Ames Research Center, pp. 44-59, 1987.

Durkin, J., Expert Systems: Catalog of Applications, Intelligent Computer Systems, P.O. Box 4117, Akron, OH 44321-0117, 1993.

Erickson, W. and M. Rudokas, MTK: an AI tool for model-based reasoning, Third Conference

on Artificial Intelligence for Space Applications, Part 2, NASA Conference Publication 2492, pp. 1- 5, Nov. 2-3, 1987.

Evans, R.B. and R.D. Sanders, ORBIS-a tool for simulation development, Proceedings of

the 1994 Summer Computer Simulation Conference, 26th Annual Summer Computer Simulation Conference, SCS, San Diego, CA, pp. 501-6, July 18-20, 1994.

Fayyad, U, G. Piatesky-Shapiro, and P. Smyth, From data mining to knowledge discovery in databases, AI Magazine, Vol. 17, No. 3, pp. 37-54, Fall, 1996.

Fohn, S.M., A.R. Greef, R.E. Young, and P.J. O'Grady, A constraint-system shell to

support concurrent engineering approaches to design, Artificial Intelligence in Engineering, Vol. 9, Iss. 1, pp. 1-17, 1994.

Forgy, C., The OPS languages: an historical overview, PC AI, Vol. 9, No. 5, pp. 16-21, Sept./Oct., 1995.

Freedman, R., 27-product wrap-up: evaluating shells, AI Expert, pp. 69-74, Sept., 1987. Fujita, S., M. Otsubo, and M. Watanabe, Intelligent control shell for CAD tools,

Proceedings of the 10th Conference on Artificial Intelligence for Applications, San Antonio, TX,

your e-mail

subscribe

Go!

ITLibrary

EarthWeb sites Crossnodes Datamation Developer.com DICE EarthWeb.com EarthWeb Direct ERP Hub Gamelan GoCertify.com HTMLGoodies Intranet Journal IT Knowledge IT Library JavaGoodies JARS JavaScripts.com open source IT RoadCoders Y2K Info

IEEE Technical Committee on Pattern Analysis and Machine Intelligence, pp. 16-22, 1994. Gevarter, W.B., The nature and evaluation of commercial expert system building tools, IEEE

Computer, pp. 24-41, May, 1987.

Gini, G. and P. Sassaroli, PRODE: a shell for industrial diagnosis, Expert Systems with Applications, Vol. 8, No. 1, pp. 67-76, Jan.-Mar., 1995.

Golden, C.J., Automating satellite control and telemetry networks, Proc. Intern. Telemetering Conf., San Diego, CA, pp. 503-508, Oct. 26-29, 1987.

Hall, C., The intelligent software development tools market -- part 1, Intelligent Software

Strategies, Vol. 12, No. 2, pp. 1-12, 1996. Cutter Information Corp., 37 Broadway, Ste. 1, Arlington, MA 02174-5500.

Harmon, P. and B. Sawyer, Creating Expert Systems for Business and Industry, John Wiley, New York, NY, 1990.

Harmon, P., The market for expert systems building tools, Intelligent Software Strategies, Vol. 9, No. 2, pp. 3-13, 1993. See reference (Hall, 1996) for the publisher's address. Harmon, P., The size of the commercial AI market, Intelligent Software Strategies, Vol. 10,

No. 1, pp. 1-6, 1994. See reference (Hall 1996) for the publisher's address. Hayes-Roth, F., D. Waterman, and D. Lenat, Building Expert Systems, Addison-Wesley,

Reading, MA, 1984.

Hori, S., K. Ide, Y. Nakayama, and K. Otsubo, D-IAL: a diagnostic expert shell with

plausible reasoning mechanism, Systems and Computers in Japan, Vol. 23, No. 11, pp. 1565- 1573, 1992.

Ivashchenko, K.I., B.S. Kirsanov, and E.V. Popov, An expert domain-specific shell for the

computer-aided evaluation of the state of hydraulic structures, Journal of Computer and Systems Sciences International, Vol. 32, Iss. 3, pp. 148-54, May-June, 1994,

Kartman, N. and R. Levitt, Intelligent planning of construction projects with repeated cycles of operation, ASCE Jour. of Computing in Civil Engineering, Vol. 4, 1990.

Kim, C.S. and Y. Yoon, Selection of a good expert system shell for instructional purposes in business, Corrosion Science, Vol. 33, No. 12, pp. 249, Dec., 1992.

Langley, W., M.B. Zaremba, and I. Popescu, Graphics-oriented expert shell for the design and

configuration of distributed control systems, Control Engineering Practice, Vol. 3, Iss. 4, pp. 555- 9, April, 1995.

Lipiatt, T.F. and D. Waterman, Potential applications of expert systems and operations research to space station logistics functions, NASA Report CR-180473, June, 1985.

MacCallum K.J., A knowledge base for engineering design relationships, in Proceedings of

British Computer Society Expert Systems Group Technical Conference the Theory and Practice of Knowledge Based Systems, Brunel University, pp. 65-66, September, 1982.

Marshall, G., T. Barber, and J. Boardman, A methodology for modelling a project management control environment, IEEE Proc., Vol. 134, 1987.

Martin, A. and R.K. Law, Expert system for selecting expert system shells, Information and Software Technology, Vol. 30, No. 10, pp. 579-586, Dec., 1988.

McLean, D., A. Tuchman, and W. Potter, Using C to build a satellite scheduling expert system: examples from the explorer platform planning system, 1991 Goddard Conference on Space Applications of Artificial Intelligence, NASA Publication 3110, pp. 59-69, May 13-15, 1991. Navinchandra, D., D. Sriram, and R. Logcher, GHOST: a project network generator, ASCE

Jour. of Computing in Civil Engineering, Vol. 2, No. 3, 1988. PC AI, Product Update, Vol. 4, No. 3, pp. 10, May/June, 1990.

Plant, R.T. and J.P. Salinas, Expert systems shell benchmarks: the missing comparison factor,

Information and Management, (Netherlands), Vol. 27, Iss. 2, pp. 89-101, Aug., 1994. Press, L., Expert system benchmarks, IEEE Expert, pp. 37-44, 1989.

Reichgelt, H. and F. van Harmelen, Criteria for choosing representation languages and

control regimes for expert systems, The Knowledge Engineering Review, Vol. 1, No. 4, 1986. Reinhardt, B. and S. Schewe, A shell for intelligent tutoring systems, Artificial Intelligence in

Education, 1995, Proceedings of AI-ED 95 -- 7th World Conference on Artificial Intelligence in Education, Assoc. Advancement of Comput. Edu., Washington, D.C., pp. 83-90, 1995. Rushinek, A., Expert system shells (ES) case study: a product evaluation and selection

system (PESS) for microcomputer users, vendors and consultants need assessment, Economic Computation and Economic Cybernetics Studies and Research, Vol. 28, Iss. 1-4, pp. 53-63, 1994.

Shortliffe, E.H., Computer-Based Medical Consultation, MYCIN, American Elsevier, New York, 1976.

Solotorevsky, G., E. Gudes, and A. Meisels, CSP and rule-based approaches for solving a

real-life scheduling problem, Proc. Moving Towards Expert Systems Globally in the 21st Century, Lisbon/Estoril, Portugal, pp. 298-305, Jan. 10-14, 1994.

Stylianou, A.C., R.D. Smith, and G.R. Madey, An empirical model for the evaluation and

selection of expert system shells, Expert Systems With Applications, Vol. 8, No. 1, pp. 143-155, 1995.

Thalman, N. and T. Sparn, SURE: A science planning scheduling assistant for a resource

based environment, Goddard Conference on Space Applications of Artificial Intelligence, NASA Publication 3068, pp. 75-93, May 1-2, 1990.

Turksen, I.B., T. Yurtsever, and K. Demirli, Fuzzy expert system shell for scheduling,

Proceedings of the SPIE -- The International Society for Optical Engineering, Boston, MA, Vol. 2061, pp. 308-19, Sept. 8-10, 1993.

van Melle, W., A domain-independent production-rule system for consultation programs,

Proceedings IJCAI-79, pp. 923-925, 1979.

Wakisaka, S., H. Nakashima, N. Sumida, and Y. Tetsu, Development of expert system

building-tool for real-time control system -- FAIN, Nippon Steel Technical Report No. 57, pp. 79- 85, Apr., 1993.

Zozaya-Gorostiza, C., C. Hendrickson, and D. Rehak, Knowledge-Based Process Planning for Construction and Manufacturing, Academic Press, Boston, MA, 1989.

Previous Table of Contents Next

footer nav

Use of this site is subject certain Terms & Conditions.

Copyright (c) 1996-1999 EarthWeb, Inc.. All rights reserved. Reproduction in whole or in part in any form or medium without express written permission of EarthWeb is prohibited. Please read our privacy policy for details.

Brought to you by EarthWeb

IT Library Logo Click

Here!

Click Here!

Search the site:

EXPERT SEARCH ---Programming Languages Databases Security Web Services Network Services Middleware Components Operating Systems User Interfaces Groupware & Collaboration Content Management Productivity Applications Hardware Fun & Games

EarthWeb Direct EarthWeb Direct Fatbrain Auctions Support Source Answers

Previous Table of Contents Next

Chapter 5

Foundation and Application of Expert System