A Methodology for Diagnostic Reasoning of Herring's Disease Based on Ontology Construction

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This paper explains an ontology-based fish disease diagnostic reasoning method, considering the possible ambiguity and domain knowledge acquisition difficulties in expert systems for the diagnosis and consultation of existing aquaculture diseases. It introduces ontology to the diagnostic reasoning system of herring's disease by combining both weighted attributes in ontology and the reasoning (CBR & RBR) method. In the key technological step-conceptualization, the top-down and middle-out approaches are combined in this paper to develop concept hierarchy. On these grounds, this paper demonstrates the construction of a herring's disease ontology model, the development of a diagnostic reasoning system of herring's disease, and the realization of the diagnostic reasoning function based on ontology. In addition, the feasibility, robustness, and efficiency of the diagnostic reasoning method are verified by experimentation.


Document Type: Research Article

DOI: http://dx.doi.org/10.1166/sl.2012.1880

Publication date: January 1, 2012

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