Ontology construction of multi-level ore deposit and its application in knowledge graph
Converting mineral deposit data with diverse heterogeneity and complex semantics into structured data is a vital challenge faced by the mineral resources exploration big data field today.Traditional machine learning methods have been proven insufficient in accurately describing the semantic information on entity concepts,properties,and their property values,resulting in the poor interpretability of heterogeneous and diverse data.As a result,the development of explainable knowledge graphs has become a current research hotspot.Despite this,the research on ontology construction in the ore deposit field remains relatively scarce,impeding the study progress of ore deposit knowledge graph.This article emphasizes the description of concepts,relationships,and properties of ore deposits.With the combination of knowledge engineering,lexicons,reused precedents,and expert knowledge,by applying the ontology construction method based on knowledge engineering and top-level ontology and using the ontology development tool Protégé,we have built the ontology database of ore deposit domain based on spatiotemporal mineral deposit text.This approach results in systematic,standardized,and formalized expressions for concepts and relationships of mineral deposit knowledges.Subsequently,we used the Neo4j program to establish a knowledge graph of the ontology library and utilized the Pangxidong polymetallic mineral deposit as a case study to connect the ore deposit ontology with mineral deposit data,demonstrating the important significance of the ore deposit ontology as the framework of knowledge graph.The research in this paper provides a certain guiding significance for the subsequent reasoning analysis of ore deposit knowledge graph.
domain ontologyore depositknowledge graphore deposit ontologyvisualizationintelligent search for ore depositgeological big data
NETL
NSTL
万方数据
维普
