化工管理2024,Issue(30) :89-91.DOI:10.19900/j.cnki.ISSN1008-4800.2024.30.021

探究海上油田数据湖转化为知识图谱的算法

Exploration of the Algorithm for Transforming Offshore Oilfield Data Lakes into Knowledge Graphs

宋晓峰 常欣 曲晓慧 田迪 施志宏
化工管理2024,Issue(30) :89-91.DOI:10.19900/j.cnki.ISSN1008-4800.2024.30.021

探究海上油田数据湖转化为知识图谱的算法

Exploration of the Algorithm for Transforming Offshore Oilfield Data Lakes into Knowledge Graphs

宋晓峰 1常欣 1曲晓慧 1田迪 1施志宏1
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作者信息

  • 1. 中海油能源发展股份有限公司工程技术分公司,天津 300452
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摘要

知识图谱作为人工智能时代的重要基石,为知识提供了一种新型组织与表示形式,而高效构建并合理地把勘探开发数据湖中的数据转化为知识图谱成为技术研究人员的迫切需求.目前,海上石油数据湖在勘探开发领域已经建立比较标准、规范、全面的数据系统.聚焦于已有大量数据的情形下,文章对批量转化知识图谱的构建技术、算法进行研究,以期对后续的多种算法性能、效果进行对比,并总结出数据湖转化为知识图谱的新思路,为更加通用、实用、好用的海上石油知识湖平台构建研发提供参考.

Abstract

As an important cornerstone of the era of artificial intelligence,knowledge graphs provide a new form of organization and representation for knowledge.However,it is an urgent need for technical researchers to efficiently construct and reasonably transform exploration and development data of date lakes into knowledge graphs.At present,the offshore oil data lake has established a comparative standard,normative and comprehensive data system in the field of exploration and development.Focusing on the existing situation of a large amount of data,this paper studies the construction technology and algorithm of batch transformed knowledge graph,in order to compare the performance and effect of various subsequent algorithms,and summarizes a new idea of transforming data lake into knowledge graph,so as to provide a reference for the construction and development of a more general,practical and useful offshore oil knowledge lake platform.

关键词

知识图谱/数据湖/多专业抽取/提取算法

Key words

knowledge graph/data lake/multi disciplinary extraction/extraction algorithm

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出版年

2024
化工管理
中国化工企业管理协会

化工管理

影响因子:0.336
ISSN:1008-4800
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