油气管道标准知识图谱服务模式研究与系统研发

摘要：

知识图谱作为人工智能的重要分支，成为知识服务领域的一个新热点，而关于标准知识图谱方面的相关研究和探索也正在开展，对推动标准数字化工作具有重要意义。本文针对油气管道标准知识图谱服务模式开展理论和实践应用研究，研究提出油气管道标准之间、机构合作之间、技术内容之间等多种知识节点的标准知识关联与知识内容的可视化浏览和查询服务以及语义搜索服务模式，研究开发相应的标准知识图谱服务系统，实现油气管道标准的智能化服务，为油气管道标准数字化发展奠定了理论和实践基础。

Abstract:

As an important branch of artificial intelligence, knowledge graph has become a new hotspot in the field of knowledge services. Related research on standard knowledge graph are also being carried out, which is of great significance for promoting the digitalization of standards. This paper focuses on the theoretical and practical application research on the service model of standard knowledge graph for oil and gas pipeline. It proposes the visual browsing and discovering service model of knowledge connection and knowledge content of standards for oil and gas pipeline among various knowledge nodes such as standards, institutional cooperation, and technical content. It also proposes the semantic search service model of standards for oil and gas pipeline. The service system of standard knowledge graph is developed and intelligent services of standards for oil and gas pipeline is achieved. It will lay a theoretical and practical foundation for the digitalization of standards for oil and gas pipeline.

基金项目：本文受国家石油天然气管网集团有限公司科技项目“大口径、高压力、长距离天然气管道标准产业化研究与海外应用” （项目编号：JCGL202202）资助。

作者简介：彭泽恒，博士，工程师，主要从事标准数字化和数据分析方面的研究。