Research On Knowledge Reasoning For Flower Disease And Pest Ontology

Flower diseases and insect pests are one of the major factors restricting flower cultivation.Systematization of pest knowledge and modeling of diagnostic reasoning play an important role in the communication between domain experts and intelligent managers.At present,there are not many related studies on knowledge reasoning models for the diagnosis of flower diseases and insect pests.Therefore,the reasoning diagnosis of flower diseases and insect pests is the first problem to be solved in the intelligent management of flower cultivation.In order to improve the efficiency of intelligent management in the process of flower cultivation,taking Anthurium anthurium in flowers as an example,a knowledge reasoning model oriented to the ontology of flower diseases and insect pests is proposed to realize knowledge completion and automatic reasoning in the field of flower diseases and insect pests.The main research content of the paper is as follows:(1)Ontology modeling of knowledge in the field of flower pests and diseases: sort out knowledge in the field of flower diseases and insect pests with complex knowledge sources and diverse structures,and provide domain knowledge support for the application and business of the upper-level knowledge reasoning model.Taking the latest anthurium planting regulations as a reference,the ontology is used to complete the knowledge modeling,so that the knowledge in the field of flower diseases and insect pests is extracted through ontology modeling to complete the corresponding concept extraction and relationship extraction,and at the same time,it is concretized into specific examples,data attributes and objects.Attributes.Finally,the SWRL rule modeling is completed according to the knowledge reasoning requirements of flower diseases and insect pests,which will be used for the subsequent knowledge reasoning.(2)Uncertain knowledge reasoning based on ontology extensible plug-in:According to the established knowledge ontology in the field of flower diseases and insect pests,an uncertain reasoning method based on ontology extensible plug-in is proposed.The ontology knowledge inference model is established through two aspects:one is based on the extensibility of the Pellet inference engine to the ontology knowledge inference rules,and the semantic web rule language SWRL is used to describe the knowledge inference rules.Compared with the original SWRL rules,the scalable custom function is added,and at the same time,it is written according to the primitives of the user-defined reasoning module to further complete the expansion of the ontology knowledge rule base.The second is to integrate the ontology extensible plug-in into the uncertain reasoning algorithm combining the Petri net and the deterministic factor,so as to infer the current possible diseases and insect pests and the probability of their occurrence based on observable factual evidence,and additionally add knowledge completion module,which saves the knowledge reasoning results to the ontology knowledge base to complete the real-time update of the ontology,and finally realizes the knowledge reasoning model of flower diseases and insect pests.foundation.(3)Application example of knowledge reasoning model of flower diseases and insect pests: Through the construction of knowledge reasoning model of flower diseases and insect pests ontology above,an application example of knowledge reasoning model of anthurium diseases and insect pests is given,and the domain ontology after knowledge completion is used in Neo4 j graph database Storage,and at the same time complete the front-end knowledge map display work,which is used to visually display the flower disease and pest data information after knowledge reasoning,which can be used by the staff for reference and use.