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This study presents a new approach in developing an ontology based expert system to diagnose thyroid diseases. Ontology represents explicit specification of knowledge in a specific domain of interest in the form of concepts and relations among them. Its merit is that the represented knowledge is both computer and human readable. The adoption of ontology in healthcare has facilitated domain experts...
In order to effectively support formal representation and reuse of operation standard knowledge, a new operation standard expert system called OS expert system, has been developed based on the integration of ontology and case-based reasoning (CBR). This paper emphatically introduces operation standard ontology, case representation model, case retrieval model and case revision model. Through importing...
Selecting professional and authoritative experts to evaluate projects is an essential process in order to assure the quality of projects. In this paper, we present a semantic-based expert information system, which search for expert information based on semantic and knowledge reasoning, and rank the search results according to the scientific capability of experts. We design software architecture for...
The existing expert information systems supply services for searching information of experts and help the users to select suitable experts to evaluate all types of projects in different fields, however, almost all of these search services use keyword match, and it is hard to gain high search efficiency. Ontology has been proved to be very useful in sharing concepts across applications in an unambiguous...
For the shortcomings of fuzzy rule reasoning method in traditional fault diagnosis expert system, a fuzzy rule matching method based on semantic similarity and bipartite graph is proposed in this paper. Firstly, fault domain knowledge ontology is built by analyzing domain fault knowledge, and then the input fault phenomena set and the property set of rule set antecedent act as the vertex sets of bipartite...
Expert system is the promising method to help the car users to diagnose and repair the faulty car. Unfortunately, the traditional expert system has heavy architecture, requires large scale data and space resource to keep its normal work, the development of its reasoning mechanism will consume much time and works. The concept of Ontology in knowledge engineering is introduced to construct the engine...
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