| 基于知识图谱的岩溶知识发现系统建设 |
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| 引用本文： | 杨辰,毕奔腾,周立新.基于知识图谱的岩溶知识发现系统建设[J].中国岩溶,2021,40(3):548-554. |
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| 作者姓名： | 杨辰 毕奔腾 周立新 |
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| 作者单位： | 中国地质科学院岩溶地质研究所/自然资源部、广西岩溶动力学重点实验室 |
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| 基金项目： | 中国地质调查项目（DD20190432）；中国工程院项目（地质专业知识服务系统CKCEST-2020-1-16） |
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| 摘 要： | 岩溶领域通过地质调查和科学研究积累了大量的成果资源，资源之间的关联关系更加复杂，传统的关键词检索模式已不满足用户获取知识的需求。为实现知识层面的数据检索，利用数据挖掘技术进行岩溶实体抽取与关系计算，以岩溶术语为核心，基于知识图谱构建岩溶知识发现系统，实现岩溶地质成果、期刊、论文、图书、标准、项目、专家等实体的智能语义搜索和关联导航，最大化的挖掘数据的潜在价值，为用户提供精准知识服务，提升了用户体验。
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| 关 键 词： | 岩溶术语 知识发现 知识图谱 语义搜索 |
Construction of a karst knowledge discovery system based on knowledge graph |
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| YANG Chen,BI Benteng,ZHOU Lixin.Construction of a karst knowledge discovery system based on knowledge graph[J].Carsologica Sinica,2021,40(3):548-554. |
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| Authors: | YANG Chen BI Benteng ZHOU Lixin |
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| Institution: | Institute of Karst Geology，CAGS/ Key Laboratory of Karst Dynamics，MNR&GZAR |
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| Abstract: | The karst field has accumulated a large number of outcome resources through geological surveys and scientific research. The relationship between resources is more complex，and the traditional keyword retrieval model cannot meet the needs of users to acquire knowledge. In order to realize data retrieval at the knowledge level，data mining technology is used to extract and calculate karst entity relations. With karst terminology as the core，a karst knowledge discovery system is constructed based on the knowledge graph. Intelligent semantic search for and related navigation to karst geological results，journals，papers，books，standards，projects，experts and other entities are realized to maximize the potential of data mining. It provides users with precise knowledge services and improves the user experience. |
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