Knowledge Element Semantic Integration Method Based On Fuzzy Petri Net

With the development of the national science and technology level,the data sources have been continuously expanded and updated,and people want to obtain more valuable content from a large amount of constantly updated data,and they must proceed from the knowledge element to do more in-depth excavation.Knowledge element semantic integration is based on the extraction and indexing of knowledge element,taking into account the semantic relationship between knowledge,and introducing the characteristics of semantic consistency,so as to find new valuable knowledge.The process is to integrate limited knowledge resources to solve problems in a certain field.At this stage,the method of integrating limited knowledge resources considers the semantic relations among the knowledge element,but ignores the fuzzy semantic relations among the knowledge element.For this reason,starting from the minimum granularity of knowledge,the fuzzy Petri net model can be used to express the link nature of knowledge element.Based on knowledge element theory and ontology theory,a knowledge element semantic integration method based on fuzzy Petri net is proposed to enrich the semantic information between the knowledge.First of all,this paper elaborates the current research status of knowledge element integration and fuzzy Petri net,summarizes the methods of implementing knowledge element integration,and presents the problems of each method.Secondly,the related theories of knowledge element,ontology and fuzzy Petri net are introduced and summarized in detail.Thirdly,based on the theory of fuzzy Petri net and ontology,the fuzzy Petri net ontology model is constructed.The fuzzy entropy principle and the Microsoft Visio tool are used to determine fuzzy semantic relations among knowledge element and the fuzzy production rules based on knowledge element are constructed to realize the mapping of model elements.Then the ontology editing tool is used to construct the knowledge element ontology,and the automatic integration of limited knowledge resources is realized.Then a method of semantic integration of knowledge element based on fuzzy Petri net is proposed.Finally,taking the relevant literature data in the fields of medicine,health and food engineering as examples,under the Eclipse and JDK experimental environment,Jena inference engine was used to demonstrate the example of knowledge integration method based on fuzzy Petri net.The results show that the method has validity,feasibility and practicality to a certain extent,and at the same time enriches the semantic relationships among knowledge element.The knowledge element semantic integration method based on fuzzy Petri net proposed in this paper can deeply analyze and enrich the semantic relations among knowledge element from the smallest granularity of knowledge units,and enhances the effective association between knowledge element to a certain extent,and provides the great help in the efficiency and depth of users' learning,and at the same time it provided a certain reference value for solving the problems existing in knowledge element integration.