Research On Intelligent Question Answering System For Kiwi Disease And Pest Based On Ontology

Early intelligent question answering systems adopt the traditional artificial intelligentknowledge representation and search method construction,it has inadequacy of knowledgesharing and knowledge reuseing.In the early1990s,ontology is introduced to the field ofartificial intelligence,knowledge sharing and reuse to get a certain degree of improvement.This thesis aims to facilitate farmers using natural language to inquire plant diseases,putting the kiwi fruit plant diseases and insect pests as the research object,introducingontology as the basis of semantic understanding,constructing an intelligent questionanswering kiwi fruit plant diseases and insect pest prototype system by segmentationprocess and knowledge reasoning techniques.The main research contents and conclusionsare as follows:(1)Based on the research of various construction method,we choose an approachsuitable for ontology construction of kiwi disease and pest,combining application desire ofconstructing intelligent question answering system,referring kiwi fruit plant diseases andinsect pests research material.We construct ontology of Kiwi disease and pest usingontology development tool protégé and ontology language OWL.(2) Based on the study of the ontology inference approach,ontology reasoningmechanism is introduced into the intelligent question answering system.We apply Jenareasoning machine to do semantic analysis to ontology.We can inqire Kiwi disease and pestknowledge through user input content.(3) Finally,we develop an ontology-based intelligent question answering model.Wealso present an ontology-based Kiwi disease and pest intelligent question-answeringprototype system.Analysis processing is implentmented by farmer’s natural languageanswering.The experimental results show the correctness of the approaches presented in thethesis.