Research On Representation Method Of Agricultural Cloud Ontology Based On Description Logic

As a sharing model that can describe the data and information related to agriculture at the semantic level,the agricultural domain ontology can provide semantic retrieval,intelligent diagnosis,management decision,predict and early-warning and other ontology knowledge of collaborative services.Agricultural domain ontology modeling involves agriculture knowledge of semantic representation,but there is a general knowledge of uncertainty in the field of agriculture,yet the existing ontology representation method can only express certainty knowledge,unable to describe imprecise knowledge accurately.Therefore,it is necessary to conduct study on how the ontology can effectively describe agricultural uncertain knowledge,thus building the more effective agricultural ontology.In view of lacking of systematic and effective uncertainty representation and reasoning of agricultural knowledge ontology at present,based on the meteorological knowledge of tea plantation in Huangshan area,the paper focuses on three key problems about representation of agricultural cloud ontology,which is based on the description logic of the representation of agriculture cloud ontology,the formal questions of agricultural cloud ontology and the logic detection questions of agricultural cloud ontology.This research raises the theory and method of knowledge representation and reasoning of agricultural cloud ontology based on descriptive logic,and develops a inference system of agricultural cloud ontology to verify efficiently.The main contents and result of the thesis research are as follows:(1)The representation method of agricultural cloud ontology based on description logic were studied.This method represents the uncertainty concept and relation agricultural domain in form of description logic and explains the proposed axiom,which is mainly by combining the SHIQ language of description logic and the cloud model to carry on the cloud expansion for SHIQ.(2)The inference algorithm of agricultural cloud ontology were proposed.The method which is based on OWL language,through the cloud model theory is introduced to the agricultural ontology for the formal definition,on the basis of without changing the original form of OWL language,increased formalization description of uncertainty concepts and relationships.(3)The method of reasoning and detection of agricultural cloud ontology were provided.This method is mainly by combining the extension Tableau algorithm and thecloud model inference algorithm to detect and infer agricultural cloud ontology logically,thus guaranteeing the correctness of representation.(4)The reasoning prototype system of agricultural cloud ontology is designed.Based on the above theory and method,the system design and implement inference detection function of agricultural cloud ontology in the Eclipse exploiting environment,then takes tea plantations in Huangshan area meteorological knowledge as an example to verify the correctness.The research results to solve the representation problem of uncertain knowledge in agriculture,building the agricultural cloud ontology has certain theoretical research value,and has practical significance to agricultural knowledge sharing and services.