Research On The Semantic Reasoning Method Of Agricultural Cloud Ontology

Ontology, an explicit formal and standard specification of a shared conceptual mo del, is an important component of the semantic web. It is the fourth layer of sem antic web. But ontology can not present uncertainty knowledge, so some researche rs proposed an idea that join cloud model to ontology, to become a cloud ontolo gy. Cloud ontology can solve this problem and will been extensively used in kno wledge engineering, semantic web and information retrieve fields. Therefore, to pu t cloud ontology into application, it is very necessary to study on the semantic re asoning of cloud ontology.Aiming at the problem of uncertainty knowledge inference in agricultural cloud ontology, this paper focuses on the two key problems in the agricultural cloud ontology reasoning:agriculture cloud modeling and reasoning. This paper propose a theory and method of agricultural cloud ontology reasoning, and develop a prototype system of tea ectropis prediction based on tea plantation meteorological cloud ontology.The main content and research achievements are as follows:(1) A theory and method of concepts modeling based on Cloud-OWL is researched in this paper. Through the extended description logic C-SHOIN(D) based on cloud model and cloud ontology language Cloud-OWL based on C-SHOIN(D), the formal representation of cloud ontology knowledge is accomplished, and construct Huangshan Mountain tea garden meteorological cloud ontology. Besides, the consistency detection of this cloud ontology is completed.(2) The methods and algorithm for reasoning of agricultural cloud ontology is put forward. Through SWRL construct reasoning rules, and use optimized inference engine which combine description logic reasoning with semantic reasoning to inference the agricultural cloud ontology. Finally takes tea garden meteorological cloud ontology as its test object.(3) A prototype system of tea ectropis prediction based on tea plantation meteorological cloud ontology is developed. This prototype system is developed in Eclipse platform with Java language, which realiaze the reasoning of agricultural cloud ontology. Besides, the feasibility and validity of the methods of agricultural cloud ontology inference is proved through experiments.The research result of this paper has certain theoretical value and practical significance in many aspects, for example, the further study of the theory and method of agricultural cloud ontology inference, the establishment of agricultural knowledge service based on cloud ontology, and the realization of efficient reuse and effective management of agricultural knowledge.