Regular Expression Based Online Aided Decision Making Knowledge Base for Quality and Security of Food Processing
Publicado en línea: 30 dic 2015
Páginas: 230 - 239
DOI: https://doi.org/10.1515/cait-2015-0082
Palabras clave
© 2015 Liu Wen et al., published by De Gruyter Open
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.
With regard to the inefficient application of a food processing information system due to shortage of the knowledge acquisition measure and self-updating function of knowledge, a method of constructing an online aided decision making knowledge base for quality and security of food processing, based on regular expression, is discussed in the paper. Firstly, the method establishes an online aided decision making knowledge base for quality and security of food processing based on regular expression; and then an automatic knowledge inference engine is applied to update the knowledge in the base, combined with industry experts’ experience knowledge. Continuous deriving of food processing knowledge can be realized based on the inference engine. The research will greatly enhance the efficiency and applicability of obtaining knowledge from an online aided decision making system for quality and security of food processing.