Web-based expert systems: benefits and challenges

Convergence of technologies in the Internet and the field of expert systems have offered new ways of sharing and distributing knowledge. However, there has been a general lack of research in the area of web-based expert systems (ES). This paper addresses the issues associated with the design, development, and use of web-based ES from a standpoint of the benefits and challenges of developing and using them. The original theory and concepts in conventional ES were reviewed and a knowledge engineering framework for developing them was revisited. The study considered three web-based ES: WITS-advisor -- for e-business strategy development, Fish-Expert -- for fish disease diagnosis, and IMIS -- to promote intelligent interviews. The benefits and challenges in developing and using ES are discussed by comparing them with traditional standalone systems from development and application perspectives.

[1]  T. Grandon Gill Early Expert Systems : Where Are They Now ? , 2002 .

[2]  Ralph Grove,et al.  Internet‐based expert systems , 2000, Expert Syst. J. Knowl. Eng..

[3]  Bo K. Wong,et al.  Expert system applications in business: A review and analysis of the literature (1977-1993) , 1995, Inf. Manag..

[4]  Michael L. Gargano,et al.  Expert system: defection and perfection , 1999 .

[5]  G. G. Stokes "J." , 1890, The New Yale Book of Quotations.

[6]  John Durkin Expert Systems: A View of the Field , 1996, IEEE Expert.

[7]  Tor Guimaraes,et al.  Exploring the Factors Associated with Expert Systems Success , 1995, MIS Q..

[9]  Ralph F. Grove Design and Development of Knowledge-Based Systems on the Web , 2000, ISCA Conference on Intelligent Systems.

[10]  Jane Fedorowicz,et al.  Improving quality, speed and confidence in decision-making: Measuring expert systems benefits , 1993, Inf. Manag..

[11]  Daniel J. Power,et al.  Web-Based and Model-Driven Decision Support Systems: Concepts and Issues , 2000 .

[12]  Efraim Turban,et al.  Decision support systems and intelligent systems , 1997 .

[13]  Y. Braunstein,et al.  Information management , 1996 .

[14]  Andrew Basden Some technical and non-technical issues in implementing a knowledge server , 2000, Softw. Pract. Exp..

[15]  Tod A. Sedbrook,et al.  A collaborative fuzzy expert system for the Web , 1998, DATB.

[16]  Zetian Fu,et al.  Toward developing and using Web-based tele-diagnosis in aquaculture , 2003, Expert Syst. Appl..

[17]  Kostas S. Metaxiotis,et al.  Expert systems in business: applications and future directions for the operations researcher , 2003, Ind. Manag. Data Syst..

[18]  Anand S. Kunnathur,et al.  Expert systems adoption. An analytical study of managerial issues and concerns , 1996, Inf. Manag..

[19]  Walter D. Potter,et al.  A web-based expert system for gypsy moth risk assessment , 2000 .

[20]  Zetian Fu,et al.  Fish-Expert: a web-based expert system for fish disease diagnosis , 2002, Expert Syst. Appl..

[21]  Alberto Riva,et al.  A knowledge-based Web server as a development environment for Web-based knowledge servers , 1998 .

[22]  Kim Merchant,et al.  Expert systems: A survey of their use in UK business , 1996, Inf. Manag..

[23]  Efraim Turban,et al.  Decision Support Systems and Intelligent Systems (7th Edition) , 2004 .

[24]  Prospects Liubolong Improving quality. , 1990, The Psychiatric clinics of North America.

[25]  Dustin Huntington,et al.  Web-based expert systems are on the way: Java-based Web delivery , 2000 .