A web-based consumer-oriented intelligent decision support system for personalized e-services
ICEC '04 Proceedings of the 6th international conference on Electronic commerce
Generating domain-specific web-based expert systems
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Achieving knowledge interoperability: An XML/XSLT approach
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Web-based expert systems: benefits and challenges
Information and Management
Development of a web-based quotation expert system for machined parts
International Journal of Computer Applications in Technology
Handling knowledge-based decision making issues in collaborative settings: an integrated approach
SETN'06 Proceedings of the 4th Helenic conference on Advances in Artificial Intelligence
Semantic model for knowledge representation in e-business
Knowledge-Based Systems
SABUMO: Towards a collaborative and semantic framework for knowledge sharing
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Extensible Prototyping for pragmatic engineering of knowledge-based systems
Expert Systems with Applications: An International Journal
Hi-index | 12.06 |
From their first applications until now, expert systems have provided solutions to multiple problems in companies of all types. With the advent of the Internet and its evolution, web-based expert systems have become very important. Moreover, the arrival of new mobile devices that can connect to the Internet has made it easy to access information from any place at any time, creating new requirements for web systems. The creation of an expert system normally requires certain technical knowledge and concepts of artificial intelligence (AI). If the need to make it accessible through the Internet is added, the degree of technical knowledge necessary for its development is greater, entailing an unaffordable cost for small and medium-sized companies. In this article, we present a tool for the development of web-based expert systems which permits the expert to define the knowledge without having to know anything about AI. The proposed inference engine is integrated in a web server through which it can be accessed from any device with an Internet connection. Finally, the article presents examples of developments achieved via the proposed framework.