In order to improve the informatized management level of the quality and safety risks appear in aquatic product processing, taking the national standard hazard analysis and critical control point system (HACCP) of aquatic products and raw oyster HACCP plan as examples, a semantic basic model was proposed based on raw oyster HACCP plan（HACCP semantic base model，HSBM), which was used to extract, represent and reason knowledge. Firstly, the domain knowledge was obtained from HACCP plan, then the raw oyster HACCP semantic modeling framework was constructed. Under the guidance of this architecture, a knowledge representation model was constructed (knowledge representation model-HACCP,KRM-HACCP), ontology modeling method was used to model the HACCP semantics of raw oyster processing, and concept-relationship structure diagram of raw oyster HACCP was drawn. Then, the semantic Web rules language SWRL was used to describe business logic rules and improve the automatic reasoning ability of knowledge. Finally, the HermiT inference machine was used to realize knowledge reasoning. Experiments showed that the model had the ability to describe knowledge, share knowledge, realize semantic reasoning, discover knowledge, and apply knowledge. It was able to systematically and completely express raw oyster processing system, and enrich the ontology knowledge base of raw oyster, thus providing technical support for the digitalization, intelligent applications, natural language processing, case-based reasoning and other possible applications of HACCP plan.