|本期目录/Table of Contents|

[1]王志强,江 樱,王 剑,等.基于公共模型技术的非结构化元数据管理技术研究与应用[J].工业仪表与自动化装置,2017,(06):20-24.[doi:1000-0682（2017）06-0020-05]
　WANG Zhiqiang,JIANG Ying,WANG Jian,et al.Research and application of unstructured metadata management based on common model technology[J].Industrial Instrumentation & Automation,2017,(06):20-24.[doi:1000-0682（2017）06-0020-05]
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基于公共模型技术的非结构化元数据管理技术研究与应用

《工业仪表与自动化装置》[ISSN:1000-0682/CN:61-1121/TH]

卷:
期数:
2017年06期
页码:
20-24
栏目:
出版日期:
2017-12-15

文章信息/Info

Title:
Research and application of unstructured metadata management based on common model technology
作者:
王志强1; 江 樱1; 王 剑1; 翁斌新2
1.国网浙江省电力公司信息通信分公司，杭州 310007；2. 国网信通亿力科技有限责任公司，福州 350003
Author(s):
WANG Zhiqiang 1; JIANG Ying1; WANG Jian1; WENG Binxin2
1. State Grid Zhejiang Information & Telecommunication Company,Hangzhou310007, China；2.?State Grid Info-Telecom Great Power Science and Technology Co.,LTD, Fuzhou 350003, China
关键词:
公共模型技术; 非结构化; 元数据; 管理
Keywords:
common model technology;  unstructured;  metadata;  management
分类号:
TP391
DOI:
1000-0682（2017）06-0020-05
文献标志码:
A
摘要:
随着信息化和数字化在电网领域的不断发展，非结构化数据在电网信息总量中所占的比例越来越大，同时在很多电网数据业务应用中对非结构化元数据的管理缺乏统一性，为了提高元数据管理能力和数字资产的利用率，该文提出一种基于公共模型技术的非结构化元数据管理技术，首先对非结构化元素数据资源进行梳理，建立数据关联模型，最后设计出一种合理的非结构化元数据管理方法。通过实际进行应用，证明了该方法的实用性和有效性。
Abstract:
With the continuous development of digital information in the field of power grids, the proportion of unstructured data in the total amount of information is increasing,At the same time, there is a lack of uniformity in the management of unstructured data in many applications.In order to improve the ability of data management and the utilization ratio of digital assets,in this paper, In this paper, an unstructured metadata management technology based on common model technology is proposed,first ,the unstructured element data resources are sorted out, and the corresponding model is designed. Finally, a reasonable unstructured metadata management method is designed.In order to protect the security of data, an encryption algorithm is proposed.The feasibility and practicability of the method are proved by the application of Zhejiang electric power.

参考文献/References:

[1] 李伟,辛耀中,沈国辉,等.基于CIM/G的电网图形维护与共享方案[J].电力系统自动化,2015,39(1):42-47. [2] 赖志斌,夏曙东,王浒,等.基于元数据和数据集管理的应用模型研究[J].地理科学发展,2002,21(4):365-372. [3] 国家电网公司.公用数据模型(SG-CIM)参考手册[R]. 2010. [4] 国家电网公司.公共数据模型(SG-CIM)模型开发规范[R]. 2010. [5] Trohidis K, Tsoumakas G, Kalliris G,et al. Multi-label classification of music intoemotions[C].In ISMIR,2008: 325–330. [6] Tsochantaridis Y, Joachims T, Hofmann T, et al. Large margin methods for structured andindependent output variables[J].Journal of Machine Learning Research, 2005(6): 1453–1484. [7] Tsoumakas G, Katakis I.Multi label classification:An overview[J].International Journal of DataWarehousing and Mining,2007,3(3): 1–13. [8] Tsoumakas G, Vlahavas I. Random k-labelsets: An ensemble method for multilabel classification[C].In ECML, 2007:406–417. [9] Tsoumakas G, Katakis I, Vlahavas I. Mining multi-label data. In O. Maimon & L. Rokach(Eds.)[M].Berlin: Springer: Data mining and knowledge discovery handbook. 2010.

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备注/Memo

备注/Memo:
收稿日期：2017-03-23 作者简介：王志强（1966），男，浙江东阳人，高级工程师，主要研究方向为电力信息化技术与管理。
更新日期/Last Update: 2017-12-01