Research And Implementation Of Pesticide Information Semantic Query System Based On Domain Ontology

Pesticide is an important agricultural material in agricultural production activities.It can prevent and control diseases and insect pests,maintain the normal growth of crops,so as to improve crop yield,crop quality and increase agricultural income.In the face of crop diseases and insect pests,the selection and safe and reasonable use of pesticides,as well as the first-aid treatment after pesticide poisoning have become an unavoidable problem in agricultural production activities.In view of the current pesticide information system is mostly based on keyword query and the lack of systematization of pesticide use information,especially the lack of first aid query of unknown pesticide poisoning,this paper studies the semantic query method of pesticide use information and unknown pesticide poisoning first aid,designs and implements the semantic query system of pesticide information based on domain ontology.The specific research contents are as follows:(1)Build the ontology of pesticide and crop field.First of all,we need to establish ontology database of pesticide and crop field.The information comes from the adaptation of agricultural science thesaurus published by China Agricultural Publishing House and some collected and sorted information.In addition,the information of target website and authoritative books,tables and related field articles crawled by the crawler scrapy framework are used as the supplement and subsequent update sources of ontology construction information.It is the basis and key of the system to build pesticide and crop domain ontology by using improved seven steps(adding verification and evaluation ontology and persisting to relational database).(2)Build the poisoning symptom ontology and the unknown pesticide poisoning emergency user dictionary.In order to query the first aid of unknown pesticide poisoning,first collect and sort out the poisoning symptoms and first aid measures as well as the poisoning symptoms text entered by users,determine the poisoning location,performance and contact mode,then build the poisoning symptoms ontology after screening,and then build the unknown pesticide poisoning first aid user Dictionary of NLPIR word segmentation system based on the main content of ontology.The system classifies the text entered by the user,extracts the keywords and queries the synonyms of the keywords in the poisoning symptomontology.At last,the query results are used as the query criteria to query the poisoning symptom and first-aid measures attributes of pesticides in the ontology database of pesticide and crop fields,and the query results are gradually narrowed down according to the number of keywords.(3)Semantic query process based on pesticide and crop domain ontology.The semantic query function of pesticide use information is designed by using pesticide and crop domain ontology database and pesticide use information database.The semantic query function of unknown pesticide poisoning first aid is designed by using poisoning symptom ontology database,unknown pesticide poisoning first aid user dictionary and pesticide and crop domain ontology database.(4)Design and implementation of pesticide information semantic query system based on domain ontology.The main functions depend on the content of pesticide and crop domain ontology,and realize the user's browsing of pesticide and crop classification system,semantic query of pesticide use information,semantic query of unknown pesticide poisoning first aid,and feedback on the system.The administrator modifies and updates the system data by modifying the ontology file,user dictionary and database,and further updates and improves the system according to the reasonable feedback of users.