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Standard model of knowledge representation |
Wensheng YIN( ) |
| School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, China |
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Abstract Knowledge representation is the core of artificial intelligence research. Knowledge representation methods include predicate logic, semantic network, computer programming language, database, mathematical model, graphics language, natural language, etc. To establish the intrinsic link between various knowledge representation methods, a unified knowledge representation model is necessary. According to ontology, system theory, and control theory, a standard model of knowledge representation that reflects the change of the objective world is proposed. The model is composed of input, processing, and output. This knowledge representation method is not a contradiction to the traditional knowledge representation method. It can express knowledge in terms of multivariate and multidimensional. It can also express process knowledge, and at the same time, it has a strong ability to solve problems. In addition, the standard model of knowledge representation provides a way to solve problems of non-precision and inconsistent knowledge.
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| Keywords
knowledge representation
standard model
ontology
system theory
control theory
multidimensional representation
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Corresponding Author(s):
Wensheng YIN
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Online First Date: 16 March 2016
Issue Date: 31 August 2016
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