多源融合的“岩石-矿物-光谱”知识图谱构建及应用

韩伟; 张照坤; 雷辛亚; 王力哲

doi:10.3799/dqkx.2025.203

Volume 51 Issue 2

Feb. 2026

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Article Navigation > Earth Science > 2026 > 51(2): 634-646

Han Wei, Zhang Zhaokun, Lei Xinya, Wang Lizhe, 2026. Construction and Application of the 'Rock-Mineral-Spectrum' Knowledge Graph Based on Multi-Source Fusion. Earth Science, 51(2): 634-646. doi: 10.3799/dqkx.2025.203

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Han Wei, Zhang Zhaokun, Lei Xinya, Wang Lizhe, 2026. Construction and Application of the "Rock-Mineral-Spectrum" Knowledge Graph Based on Multi-Source Fusion. Earth Science, 51(2): 634-646. doi: 10.3799/dqkx.2025.203

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Construction and Application of the "Rock-Mineral-Spectrum" Knowledge Graph Based on Multi-Source Fusion

doi: 10.3799/dqkx.2025.203

Han Wei^{1
,
,},
Zhang Zhaokun¹,
Lei Xinya²,
Wang Lizhe^{1
,
,
,}

1.
School of Computer Science, China University of Geosciences, Wuhan 430078, China
2.
The Preparatory Office for Wuhan University of Cyber Security, School of Artificial Intelligence Security, Wuhan 430040, China

Received Date: 2025-03-15
Publish Date: 2026-02-25

Abstract

Abstract

Amid intensifying global competition for mineral resources, raising domestic security of strategic minerals requires higher-precision, more explainableexploration. Although petrology, spectroscopy, and mineralogy have amassed large volumes of heterogeneous data, limited cross-source fusion, weak semantic linkage, and misaligned taxonomies hinder their use in exploration. This paper proposes a systematic "Rock-Mineral-Spectrum" Knowledge Graph (RMS-KG) to address these gaps.We integrate remote-sensing imagery, reflectance spectra, mineral characteristics, and geological literature using a hybrid ontology approach that combines top-down domain modeling with bottom-updata construction. The schema covers core concepts in rock taxonomy, mineral attributes, and spectral features. Deep learning and semantic parsing extract entities, attributes, and relations from structured databases, semi-structured reports, and unstructured texts; knowledge is then fused in a graph database to enable semantic linkage, visual querying, and dynamic reasoning.RMS-KG contains on the order of tens of thousands of nodes and edges and includes more than 1, 000 rock-mineral types. It unifies the "rock-mineral-spectrum" semantics, supports mapping spectral fingerprints to minerals and rocks, and enables metallogenic-type inference from mineral assemblages. Two application scenarios, "spectrum-guided mineral identification" and "metallogenic-type inference", demonstrate its effectiveness and interpretability.RMS-KG provides a reusable knowledge substrate and reasoning capability for rock-mineral recognition and prospecting, improving the retrievability, computability, and reusability of geological knowledge and offering a generalizable paradigm for knowledge-centric geological AI.
- knowledge graph,
- petrology,
- spectroscopy,
- mineralogy,
- multi-source data fusion

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References

Brodaric, B., Richard, S. M., 2021. The GeoScience Ontology Reference. Geological Survey of Canada, Open File, 8796, 34. Natural Resources Canada. https://doi.org/10.4095/328296

Chen, Y., Tian, M., Wu, Q. R., et al., 2024. A Deep Learning-Based Method for Deep Information Extraction from Multimodal Data for Geological Reports to Support Geological Knowledge Graph Construction. Earth Science Informatics, 17(3): 1867-1887. https://doi.org/10.1007/s12145-023-01207-0

Ding, Y., Teng, F., Zhang, P., et al., 2021. Research on Text Information Mining Technology of Substation Inspection Based on Improved Jieba. 2021 International Conference on Wireless Communications and Smart Grid (ICWCSG). August 13-15, 2021, Hangzhou, China. IEEE: 561-564. https://doi.org/10.1109/ICWCSG53609.2021.00119

Enkhsaikhan, M., Holden, E. J., Duuring, P., et al., 2021. Understanding Ore-Forming Conditions Using Machine Reading of Text. Ore Geology Reviews, 135: 104200. https://doi.org/10.1016/j.oregeorev.2021.104200

Guan, S. P., Jin, X. L., Jia, Y. T., et al., 2018. Knowledge Reasoning over Knowledge Graph: a Survey. Journal of Software, 29(10): 2966-2994(in Chinese with English abstract).

Garcia, L. F., Abel, M., Perrin, M., et al., 2020. The GeoCore Ontology: a Core Ontology for General Use in Geology. Computers & Geosciences, 135: 104387. https://doi.org/10.1016/j.cageo.2019.104387

Hu, X. M., Xu, Y. W., Ma, X. G., et al., 2023. Knowledge System, Ontology, and Knowledge Graph of the Deep-Time Digital Earth (DDE): Progress and Perspective. Journal of Earth Science, 34(5): 1323-1327. https://doi.org/10.1007/s12583-023-1930-1

Jin, X. B., Shen, L., Huang, X. J., et al., 2024. Empowering High-Quality Management of Natural Resources with New Quality Productive Forces: Logic and Path. Journal of Natural Resources, 39(9): 2011-202(in Chinese with English abstract). doi: 10.31497/zrzyxb.20240901

Kong, J. Y., Gao, Y. R., Zhang, Y. J., et al., 2021. Improved Attention Mechanism and Residual Network for Remote Sensing Image Scene Classification. IEEE Access, 9: 134800-134808. https://doi.org/10.1109/ACCESS. 2021.3116968 doi: 10.1109/ACCESS.2021.3116968

Li, D. R., Wang, S. L., Shi, W. Z., et al., 2001. On Spatial Data Mining and Knowledge Discovery (SDMKD). Geomatics and Information Science of Wuhan University, 26(6): 491-499(in Chinese with English abstract).

Liu, G. Q., Gong, R. B., Shi, Y. J., et al., 2022. Construction of Well Logging Knowledge Graph and Intelligent Identification Method of Hydrocarbon-Bearing Formation. Petroleum Exploration and Development, 49(3): 502-512 (in Chinese with English abstract). doi: 10.1016/S1876-3804(22)60042-9

Lei, X. Y., Song, W. J., Fan, R. Y., et al., 2023. Semi-Supervised Geological Disasters Named Entity Recognition Using few Labeled Data. GeoInformatica, 27(2): 263-288. https://doi.org/10.1007/s10707-022-00474-1

Le, B. M. J., Streckeisen, A. L., 1991. The IUGS Systematics of Igneous Rocks. Journal of the Geological Society, 148(5): 825-833. https://doi.org/10.1144/gsjgs.148.5.0825

Liu, Q., Li, Y., Duan, H., et al., 2016. Knowledge Graph Construction Techniques. Journal of Computer Research and Development, 53(3): 582-600(in Chinese with English abstract).

Ma, X. G., 2022. Knowledge Graph Construction and Application in Geosciences: a Review. Computers & Geosciences, 161: 105082. https://doi.org/10.1016/j.cageo.2022.105082

Mao, J. W., Zhang, J. D., Pirajno, F., et al., 2011. Porphyry Cu-Au-Mo-Epithermal Ag-Pb-Zn-Distal Hydrothermal Au Deposits in the Dexing Area, Jiangxi Province, East China: A Linked Ore System. Ore Geology Reviews, 43(1): 203-216. https://doi.org/10.1016/j.oregeorev.2011.08.005

Mikolov, T., Chen, K., Corrado, G., et al., 2013. Efficient Estimation of Word Representations in Vector Space. arXiv preprint arXiv: 1301.3781. https://doi.org/10.48550/arXiv.1301.3781

Niu, F. G., Zhang, B., Chen, S., 2024. Review and Perspective of Earth Science Knowledge Graph in Big Data Era. Acta Seismologica Sinica, 46(3): 353-376 (in Chinese with English abstract).

Qiu, Q. J., Wang, B., Ma, K., et al., 2023. A Practical Approach to Constructing a Geological Knowledge Graph: a Case Study of Mineral Exploration Data. Journal of Earth Science, 34(5): 1374-1389. https://doi.org/10.1007/s12583-023-1809-3

Qiu, Q. J., Wu, L., Ma, K., et al., 2023. A Knowledge Graph Construction Method for Geohazard Chain for Disaster Emergency Response. Earth Science, 48(5): 1875-1891(in Chinese with English abstract).

Shen, Z. H., Zhu, X. J., Wang, H. J., et al., 2024. Research Data Network: Concept, Systems and Applications. Frontiers of Data & Computing, 6(4): 3-21(in Chinese with English abstract).

Song, M. C., Ding, Z. J., Zhang, J. J., et al., 2021. Geology and Mineralization of the Sanshandao Supergiant Gold Deposit (1 200 t) in the Jiaodong Peninsula, China: a Review. China Geology, 4(4): 686-719. https://doi.org/10.31035/cg2021070

Song, Y. C., Liu, Y. C., Hou, Z. Q., et al., 2019. Sediment-Hosted Pb-Zn Deposits in the Tethyan Domain from China to Iran: Characteristics, Tectonic Setting, and Ore Controls. Gondwana Research, 75: 249-281. https://doi.org/10.1016/j.gr.2019.05.005

Tian, J. P., Wang, J. H., Tian, T. L., et al., 2024. In-Situ Geochemical and Rb-Sr Dating Analysis of Sulfides from a Gold Deposit Offshore of Northern Sanshandao, Jiaodong Peninsula, North China: Implications for Gold Mineralization. Minerals, 14(5): 456. https://doi.org/10.3390/min14050456

Velickovic, P., Cucurull, G., Casanova, A., et al., 2017. Graph Attention Networks. Stat, 1050(20): 10-48550.

Wang, C. S., Hazen, R. M., Cheng, Q. M., et al., 2021. The Deep-Time Digital Earth Program: Data-Driven Discovery in Geosciences. National Science Review, 8(9): nwab027. https://doi.org/10.1093/nsr/nwab027

Wu, L. X., Mao, W. F., Liu, S. J., et al., 2018. Mechanism of Infrared and Microwave Radiation Variation of Rock Stress and Key Problems of In-Situ Stress Remote Sensing. National Remote Sensing Bulletin, 22(S1): 146-161(in Chinese with English abstract). doi: 10.11834/jrs.20187256

Wang, M., 2018. Metallogenic Type and Prospecting Characteristics of Bauxite in a Certain Area. World Nonferrous Metals, 43(12): 102-103 (in Chinese with English abstract).

Xu, Q., Cui, S. H., Huang, W., et al., 2023. Construction of a Landslide Knowledge Graph in the Field of Engineering Geology. Geomatics and Information Science of Wuhan University, 48(10): 1601-1615(in Chinese with English abstract).

Xu, L. Q., Zhang, T., Zhang, M., et al., 2016. Summary of Ore f Regularity of Important Mineral Resources in Inner Mongolia. Mineral Deposits, 35(5): 966-980(in Chinese with English abstract).

Xie, T., Yang, J. A., Liu, H., 2020. Chinese Entity Recognition Based on BERT-BiLSTM-CRF Model. Computer Systems & Applications, 29(7): 48-55(in Chinese with English abstract).

Ye, X., Shen, H., Ma, X., et al., 2016. From Word Embeddings to Document Similarities for Improved Information Retrieval in Software Engineering. Proceedings of the 38th International Conference on Software Engineering. Austin Texas, . ACM, 404-415. https://doi.org/10.1145/2884781.2884862

Zhai, M. G., Yang, S. F., Chen, N. H., et al., 2018. Big Data Epoch: Challenges and Opportunities for Geology. Bulletin of Chinese Academy of Sciences, 33(8): 825-831(in Chinese with English abstract).

Zhou, C. H., Wang, H., Wang, C. S., et al., 2021. Research on Geoscience Knowledge Graph in the Era of Big Data. Chinese Science: Earth Sciences, 51(7): 1070-1079 (in Chinese).

Zhang, C. J., Liu, W. C., Zhang, X. Y., et al., 2023. Knowledge Graph Construction Method of Gold Mine Based on Ontology. Journal of Geo-Information Science, 25(7): 1269-1281(in Chinese with English abstract).

Zhou, Y. Z., Zhang, Q. L., Huang, Y. J., et al., 2021. Constructing Knowledge Graph for the Porphyry Copper Deposit in the Qingzhou-Hangzhou Bay Area: Insight into Knowledge Graph based Mineral Resource Prediction and Evaluation. Earth Science Frontiers, 28(3): 67-75 (in Chinese with English abstract).

Zhang, Q. L., Zhou, Y. Z., Yu, P. P., et al., 2024. Ontology Construction of Multi-Level Ore Deposit and Its Application in Knowledge Graph. Bulletin of Mineralogy, Petrology and Geochemistry, 43(1): 211-217(in Chinese with English abstract).

Zhao, Z. F., Han, S. K., So, I. M., 2018. Architecture of Knowledge Graph Construction Techniques. International Journal of Pure and Applied Mathematics, 118(19): 1869-1883.

Zhang, F., Yang, L. Y., Li, J. W., et al., 2022. An Overview of Entity Alignment Methods. Chinese Journal of Computers, 45(6): 1195-1225(in Chinese with English abstract).

官赛萍, 靳小龙, 贾岩涛, 等, 2018. 面向知识图谱的知识推理研究进展. 软件学报, 29(10): 2966-2994.

金晓斌, 沈镭, 黄贤金, 等, 2024. 新质生产力赋能自然资源高质量管理: 逻辑与路径. 自然资源学报, 39(9): 2011-2028.

李德仁, 王树良, 史文中, 等, 2001. 论空间数据挖掘和知识发现. 武汉大学学报(信息科学版), 26(6): 491-499.

刘国强, 龚仁彬, 石玉江, 等, 2022. 油气层测井知识图谱构建及其智能识别方法. 石油勘探与开发, 49(3): 502-512.

刘峤, 李杨, 段宏, 等, 2016. 知识图谱构建技术综述. 计算机研究与发展, 53(3): 582-600.

牛凤桂, 张贝, 陈石, 2024. 大数据时代的地球科学知识图谱研究现状与展望. 地震学报, 46(3): 353-376.

邱芹军, 吴亮, 马凯, 等, 2023. 面向灾害应急响应的地质灾害链知识图谱构建方法. 地球科学, 48(5): 1875-1891. doi: 10.3799/dqkx.2022.313

王梅, 2018. 某区铝土矿成矿类型以及找矿特点初探. 世界有色金属, 43(12): 102-103.

吴立新, 毛文飞, 刘善军, 等, 2018. 岩石受力红外与微波辐射变化机理及地应力遥感关键问题. 遥感学报, 22(S1): 161.

许强, 崔圣华, 黄维, 等, 2023. 面向工程地质领域的滑坡知识图谱构建方法研究. 武汉大学学报(信息科学版), 48(10): 1601-1615.

许立权, 张彤, 张明, 等, 2016. 内蒙古自治区重要矿种成矿规律综述. 矿床地质, 35(5): 966-980.

谢腾, 杨俊安, 刘辉, 2020. 基于BERT-BiLSTM-CRF模型的中文实体识别. 计算机系统应用, 29(7): 48-55.

翟明国, 杨树锋, 陈宁华, 等, 2018. 大数据时代: 地质学的挑战与机遇. 中国科学院院刊, 33(8): 825-831.

周成虎, 王华, 王成善, 等, 2021. 大数据时代的地学知识图谱研究. 中国科学: 地球科学, 51(7): 1070-1079.

张春菊, 刘文聪, 张雪英, 等, 2023. 基于本体的金矿知识图谱构建方法. 地球信息科学学报, 25(7): 1269-1281.

周永章, 张前龙, 黄永健, 等, 2021. 钦杭成矿带斑岩铜矿知识图谱构建及应用展望. 地学前缘, 28(3): 67-75.

张前龙, 周永章, 虞鹏鹏, 等, 2024. 多层次矿床本体的构建及在知识图谱中的应用. 矿物岩石地球化学通报, 43(1): 211-217.

张富, 杨琳艳, 李健伟, 等, 2022. 实体对齐研究综述. 计算机学报, 45(6): 1195-1225.

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Construction and Application of the "Rock-Mineral-Spectrum" Knowledge Graph Based on Multi-Source Fusion

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