文章基本信息

标题：Developing Web-Based Semantic Expert Systems
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作者：Mostafa Nofal ; Khaled M. Fouad
期刊名称：International Journal of Computer Science Issues
印刷版ISSN：1694-0784
电子版ISSN：1694-0814
出版年度：2014
卷号：11
期号：1
出版社：IJCSI Press
摘要：Expert systems have provided solutions to different problems, from strategic planning of marketing to consulting in process re-engineering. In general, the majority of studies published are based on advanced techniques of artificial intelligence, using specific languages or tools that require certain knowledge of reasoning processes to model information. With the advent of the Internet and its evolution, web-based expert systems have become very important. Moreover, the arrival of web-based expert systems 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. In this research, a tool is proposed for development of web-based expert systems and utilizes Semantic Web technology which permits the knowledge engineer and domain expert to define the knowledge without having to know anything about programming languages and artificial intelligence. The proposed tool enables the knowledge engineer to insert and update the domain knowledge; facts and rules. The facts of the knowledge can be annotated using the semantic concepts and relations found in WordNet ontology. The tool can induce new rules based on the annotated semantic concepts and relations. Using Semantic Web technology supports the tool to utilize the ontology as knowledge formalization. Using the proposed tool, the Web-based expert system can be developed simply and takes short time by using its knowledge base, inference engine and Web-based user interface.
关键词：Expert System; Expert system tool; WordNet; Knowledge base