Article(id=1242140593107841508, tenantId=1146029695717560320, journalId=1146031591421210625, issueId=1242140568093012308, articleNumber=null, orderNo=14, doi=10.3981/j.issn.1000-7857.2023.15.012, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1675612800000, receivedDateStr=2023-02-06, revisedDate=1678291200000, revisedDateStr=2023-03-09, acceptedDate=null, acceptedDateStr=null, onlineDate=1693382156943, onlineDateStr=2023-08-30, pubDate=1691856000000, pubDateStr=2023-08-13, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1693382156943, onlineIssueDateStr=2023-08-30, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1774078995249, creator=sys-migrate, updateTime=1774078995249, updator=sys-migrate, issue=Issue{id=1242140568093012308, tenantId=1146029695717560320, journalId=1146031591421210625, year='2023', volume='41', issue='15', pageStart='1', pageEnd='132', issueExtLink='null', onlineDate='null', pubDate='1691856000000', pubDateStr='2023-08-13', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=3, issueType=-1, specialIssue=null, createTime=1774078989285, creator='sys-migrate', updateTime=1774078989285, updator='sys-migrate', preIssue=null, nextIssue=null, articleTotal=null, ext=null, issueFiles=null, downloadFileDto=null}, startPage=113, endPage=123, ext={EN=ArticleExt(id=1242140596895294277, articleId=1242140593107841508, tenantId=1146029695717560320, journalId=1146031591421210625, language=EN, title=An entity mapping technology of national grid public data model integrating BERT and congestion filtering, columnId=1150494644690366681, journalTitle=Science & Technology Review, columnName=Papers, runingTitle=null, highlight=null, articleAbstract=Aiming at the problems of current SG-CIM (state grid-common information model) such as difficult to achieve automatic update iteration and low efficient mining of new elements, an SG-CIM model automatic mapping technology based on BERT model and blocking filtering is proposed. On the basis of the existing SG-CIM, an SG-CIM knowledge map and data table knowledge graph are constructed at first. Secondly, by studying the entity alignment method based on BERT model and blocking filtering, the mapping relationship between the two knowledge graphs is established. Finally, the effectiveness of the proposed method is verified by experimental analysis of the text mapping effect. Results show that the accuracy of BERT model after finetuning on a self-made data set is more than 95%. This method lays a foundation for subsequent mining of new elements and automatic updating iteration of SG-CIM., authors=LI Yufei1 , HAO Baocong1 , LOU Yiwei2* , YANG Shiyu1 , GAO Shijie3 , ZHANG Pengyu1 , authorsList=LI Yufei, HAO Baocong, LOU Yiwei, YANG Shiyu, GAO Shijie, ZHANG Pengyu, authorCompany=1. Big Data Center of State Grid Corporation of China, Beijing 100053, China1 ，郝保聪1 ，楼轶维2* ，杨诗语1 ，高士杰3 ，张鹏宇1 , authorsList=李雨霏，郝保聪，楼轶维，杨诗语，高士杰，张鹏宇, authorCompany=1. 国家电网有限公司大数据中心，北京 100053
科技导报
| 论文 2023, 41(15): 113-123
融合BERT和阻塞过滤的国家电网公共数据模型实体映射技术
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李雨霏1 ，郝保聪1 ，楼轶维2* ，杨诗语1 ，高士杰3 ，张鹏宇1
作者信息
1. 国家电网有限公司大数据中心，北京 100053
通讯作者:
楼轶维（通信作者），博士研究生，研究方向为大数据应用技术，电子信箱：cyfqylyw@gmail.com
An entity mapping technology of national grid public data model integrating BERT and congestion filtering
Affiliations
出版时间: 2023-08-13
doi: 10.3981/j.issn.1000-7857.2023.15.012
文章导航
针对目前国家电网公共数据模型SG-CIM（state grid-common information model）难以实现自动更新迭代和挖掘新元素效率较低等问题，提出了一种基于知识图谱和BERT（bidirectional encoder representations from transformers）模型的SG-CIM模型自动映射技术。在现有SG-CIM模型的基础上，构建出SG-CIM知识图谱和数据表知识图谱；通过研究基于BERT模型和阻塞过滤的实体映射技术，在2个知识图谱之间建立映射关系；对文本方法映射效果进行实验分析，结果表明在自制数据集上微调后BERT模型的精确度在88%以上。
知识图谱
/
SG-CIM模型
/
BERT模型
/
阻塞过滤
/
实体对齐
/
实体映射
Aiming at the problems of current SG-CIM (state grid-common information model) such as difficult to achieve automatic update iteration and low efficient mining of new elements, an SG-CIM model automatic mapping technology based on BERT model and blocking filtering is proposed. On the basis of the existing SG-CIM, an SG-CIM knowledge map and data table knowledge graph are constructed at first. Secondly, by studying the entity alignment method based on BERT model and blocking filtering, the mapping relationship between the two knowledge graphs is established. Finally, the effectiveness of the proposed method is verified by experimental analysis of the text mapping effect. Results show that the accuracy of BERT model after finetuning on a self-made data set is more than 95%. This method lays a foundation for subsequent mining of new elements and automatic updating iteration of SG-CIM.
Knowledge graph
/
SG-CIM model
/
BERT model
/
entity alignment
/
Establish Mapping
李雨霏，郝保聪，楼轶维，杨诗语，高士杰，张鹏宇.
融合BERT和阻塞过滤的国家电网公共数据模型实体映射技术.
科技导报,
2023
, 41
(15)
: 113
-123
.
DOI: 10.3981/j.issn.1000-7857.2023.15.012
LI Yufei, HAO Baocong, LOU Yiwei, YANG Shiyu, GAO Shijie, ZHANG Pengyu.
An entity mapping technology of national grid public data model integrating BERT and congestion filtering[J].
Science & Technology Review ,
2023
, 41
(15)
: 113
-123
.
DOI: 10.3981/j.issn.1000-7857.2023.15.012
2023年第41卷第15期
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文章信息
doi: 10.3981/j.issn.1000-7857.2023.15.012
接收时间：2023-02-06
首发时间：2023-08-30
出版时间：2023-08-13
收稿日期：2023-02-06
修回日期：2023-03-09
通讯作者:
楼轶维（通信作者），博士研究生，研究方向为大数据应用技术，电子信箱：cyfqylyw@gmail.com
https://castjournals.cast.org.cn/joweb/kjdb/CN/10.3981/j.issn.1000-7857.2023.15.012
引用本文
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2种不同金属材料的力学参数
科 属数 种数 占总种数比例 属 种数 占总种数比例 鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78 小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39 多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39 红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87 小菇属 Mycena 11 5.26 光柄菇属 Pluteus 5 2.39 红菇属 Russula 17 8.13 栓菌属 Trametes 5 2.39
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