农业领域（茶学）云本体建模理论与方法研究

Owing to the fact that ontology can not represent the uncertain knowledge in the field of agriculture, the present study takes tea science knowledge as its research object, focusing on the three critical problems in the modeling of agricultural cloud-ontology: cloud dimensions, cloudization and cloud-ontology generation, aimed at proposing a theory and method with regard to the modeling of agricultural cloud-ontology. In solving the above problems, cloud dimension theory and method based on multi-strategy optimization in agricultural ontology knowledge will be studied, the cloudization theory and method of concepts and their relations based on cloud model in agricultural ontology knowledge will be proposed, and the normal generation form and the method of logic detection and integrated optimization in agricultural cloud-ontology will be discussed in detail, so as to reduce the degree of difficulty for ontology to represent the uncertain knowledge and enhance the capabilities for ontology to represent agricultural knowledge. The research is innovative in three areas: cloud dimension model, cloudization method and the generation of cloud-ontology. Achievements of the research will have important theoretical value and practical significance in many aspects, such as further study of the theory and method of agricultural cloud-ontology modeling, the further establishment of agricultural Semantic Web and knowledge grid, and realizing full sharing and synergy service of agricultural knowledge.

针对本体不能表示农业领域中存在的不确定性知识问题，以茶学知识为研究对象，重点解决农业领域云本体建模中的三个关键问题- - 农业领域本体知识的云维度问题、农业领域本体知识的云化问题、农业领域云本体的生成问题，提出面向农业领域的云本体建模理论与方法。研究基于多策略优选的农业领域本体知识的云维度理论与方法；提出基于云模型的农业领域本体知识中概念及其关系的云化理论与方法；给出基于形式化的农业领域云本体生成范式及逻辑检测与集成优化方法。通过对农业领域本体知识的云维度、云化及云本体生成的研究，降低本体对不确定性知识表达的难度，提升本体描述农业知识的能力。本项目在农业领域本体知识的云维度模型、云化方法、云本体生成三个方面的研究将有所创新，研究成果对于农业领域云本体建模理论与方法的深入研究，进一步建立基于云本体的农业语义网络与知识网格，实现农业领域知识的充分共享和协同服务，具有重要的理论研究价值和实际意义。

本项目针对本体不能表示农业领域中存在的不确定性知识问题，以茶学知识为研究对象，重点解决了农业领域云本体建模中的三个关键问题- - 农业领域本体知识的云维度问题、农业领域本体知识的云化问题、农业领域云本体的生成问题，提出了面向农业领域的云本体建模理论与方法。在农业领域本体知识云维度方面，提出了基于混合模型的农业领域本体知识云维度优选方法；在农业领域本体知识云化方面，提出了基于云变换的农业领域本体概念云化方法，基于云层次的农业领域本体概念间分类关系云化方法，基于云关联的农业领域本体概念间非分类关系云化方法；在农业领域云本体生成方面，提出了基于云模型扩展的描述逻辑C-SHOIN(D)，基于C-SHOIN(D)的云本体表示方法，基于C-SHOIN(D)的农业领域云本体描述语言Cloud-OWL，基于SWRL的农业领域云本体语义推理方法。发表论文9篇，获得软件著作权6项，申请发明专利5项，培养硕士研究生6人，博士研究生3人，完成学位论文5篇。本项目的研究成果对于农业领域云本体建模理论与方法的深入研究，进一步建立基于云本体的农业语义网络与知识网格，实现农业领域知识的充分共享和协同服务，具有重要的理论研究价值和实际意义。