提高矿区空间信息资源的共享利用水平对改善矿产资源开发过程中人与自然间的关系，具有重要的现实意义。空间信息资源语义模型研究是矿区空间信息资源共享的关键性科学问题。本项目拟将空间语义描述与应用模型的建立与矿区空间信息资源的网络共享服务相结合，在模糊数学与粒度计算理论的支持下，研究矿区空间信息语义差别与不一致性引起的语义不确定性，通过构建多维模糊语义向量空间，揭示矿区空间信息资源语义表达的复杂网络关系。在此基础上，研究矿区空间信息资源的语义描述与应用模型的构建策略与方法，为进一步建立面向矿区空间信息用户的空间信息资源语义服务方案提供支撑。

Mine spatial information resource sharing plays an vital role in in the improvement of relationship between mankind and mineral resource exploration and. The inconsistency of semantic understanding caused by spatial information semantic differences is the key theoretical issue of mine spatial information resource sharing. This research project aims to intelligent mine spatial information service, and we will combine mine spatial semantic model construction and spatial information resources sharing services in the future works. With the support of fuzzy mathematics and granular computing theory, using multi-dimensional fuzzy semantic vector space reveals the complex network relationships on the semantic representation for mine spatial information resources, on this basis, we’ll study construction strategy of mine spatial information resource description and application methods. The purpose of this research is to meet the urgent demands of mine spatial information service application. The study of semantic model for mine spatial information resource sharing services is an innovative theory and technology system, which provides practical ideas and implementation plans for various needs in mine spatial information sharing, analysis and processing. Mine spatial information semantic model is very prominent to promote the sharing and application of spatial information resources in the network environment, which meet the growing multi-level, diversified value-added mine spatial information service needs, and has a significance to enhance the decision level of mineral resource exploration, utilization, disaster prevention and environment protection.