%0 Journal Article %T 基于本体模型的锂矿知识图谱的构建研究
Research on the Construction of Knowledge Graph of Lithium Ore Based on Ontology Model %A 吴卓 %J Advances in Applied Mathematics %P 340-347 %@ 2324-8009 %D 2025 %I Hans Publishing %R 10.12677/aam.2025.143121 %X 地球科学属于典型的数据密集型科学，从非结构化数据中挖掘有效信息已逐渐发展为地球科学的热门研究方向之一。知识图谱作为一种非结构化信息的有效处理方案，为地球科学领域的知识挖掘提供全新的研究思路与技术手段，推动了地球科学知识的整合与共享。本体模型的提出进一步推动了知识图谱构建的规范性。但是，目前尚且缺乏对锂矿本体模型的研究。本文从具体矿床名称出发，构建了基于本体模型的锂矿知识图谱，最终探讨了知识图谱与自然语言处理技术的协同工作方式与大型语言模型在地球科学中的应用前景。本文指出未来的研究工作应(1) 构建基于本体模型的地球科学知识图谱，(2) 考虑推进基于本体模型知识图谱的应用，实现知识推理，(3) 将大型语言模型与知识图谱相结合，以期为进一步推动地球科学知识图谱的发展提供参考。
Earth science is a typical data-intensive science, mining effective information from unstructured data has gradually developed into one of the hot research directions of earth science. As an effective method of processing unstructured information, knowledge graph provides a new research idea and technical means for knowledge mining in the field of earth science, and promotes the integration and sharing of earth science knowledge. The proposal of ontology model further promotes the normalization of knowledge graph construction. However, at present, there is a lack of research on lithium ore ontology model. Based on the name of specific ore deposit, this paper constructs the knowledge graph of lithium ore based on ontology model, and finally discusses the cooperative working mode of knowledge graph and natural language processing technology and the application prospect of large-scale language model on earth science. This paper points out that future research should (1) construct ontology-based knowledge graphs of Earth sciences, (2) consider promoting the application of ontology-based knowledge graphs to realize knowledge reasoning, and (3) combine large-scale language models with knowledge graphs, in order to provide references for further promoting the development of knowledge graphs of earth science. %K 知识图谱， %K 本体， %K 自然语言处理， %K 协同工作
Knowledge Graph %K Ontology %K Natural Language Processing %K Collaborative Work %U http://www.hanspub.org/journal/PaperInformation.aspx?PaperID=109940