Construction and applications of knowledge graph of porphyry copper deposits

A knowledge graph is becoming popular due to its ability describe the real world by using a language that can be understood both humans and machines computer technologies. case study construct of porphyry copper deposits presented in this paper. First all, raw text data collected integrated from selected porphyry-skarn Qinzhou Bay – Hangzhou metallogenic belt, South China. Second, text's entities, relations, attributes are labeled extracted with reference conceptual model area. The third, deposits, was constructed Neo4j 4.3. resulted deposit has basic functions an application. Furthermore, as part planned single deposit, through upper-geared series, high-top province, understanding present may extended mineral resource prospectivity assessment beyond today. interrelationship between earth system, exploration (ES-MS-ES-PS) should completely understood, system for ES-MS-ES-PS needed. key scientific technological problems achieving included progressively relative domain ontology ES-MS-ES-PS, automatic construction technology complicated ESMS-ES-PS graph, self-evolution complementary techniques multi-modal correlation embedding big mining artificial intelligence based on ES-resource prospectivity, theory, methods.