计算机技术与发展2024，Vol.34Issue(9)：195-201,7.DOI:10.20165/j.cnki.ISSN1673-629X.2024.0132
面向测井领域的多模态知识图谱构建
Construction of Multi-modal Knowledge Graph for Logging Field
摘要
Abstract
In order to solve the problems of heterogeneous data sources,difficult complementarity and fusion between data,which cannot be well applied to risk assessment,interpretation evaluation and decision-making knowledge provision,a multi-modal knowledge graph construction method for logging field is proposed.From the perspective of logging,the proposed method classifies knowledge into general knowledge,regional knowledge and auxiliary knowledge in a top-down way.By combining multi-modal data such as Chinese text,pictures,audio and video in logging interpretation process,the entity attribute relationship is deeply mined,and the ontology layer of logging domain is built,and based on CasRel entity relation joint extraction,cosine similarity multi-modal knowledge fusion and TransR multi-modal representation learning technology,the multi-modal knowledge graph in logging field is constructed.The practical verification of Daqing test service branch shows that the proposed multi-modal knowledge graph can effectively enhance the integration,interconnection and sharing of logging knowledge.关键词
测井/知识图谱/多模态/知识融合/知识表示Key words
well logging/knowledge graph/multi-modal/knowledge fusion/knowledge representation分类
信息技术与安全科学引用本文复制引用
曹茂俊,林世友,肖阳,王瑞芳,邱斌鑫..面向测井领域的多模态知识图谱构建[J].计算机技术与发展,2024,34(9):195-201,7.基金项目
黑龙江省自然科学基金(LH2019F004) （LH2019F004）
中石油科技技术开发项目(2021DJ4001) （2021DJ4001）
