吉林大学学报(工学版) ›› 2016, Vol. 46 ›› Issue (1): 277-283.doi: 10.13229/j.cnki.jdxbgxb201601042

Previous Articles     Next Articles

Self-standard data and its application in data exchange

YUAN Man1, WANG Quan2, XIA Yan-bo2, ZHANG Yan-guo3, HUANG Gang1   

  1. 1.School of Computer and Information Technology, Northeast Petroleum University, Daqing 163318,China;
    2.Information Center of Daqing Oilfield Company Limited, Daqing 163318, China;
    3.Shanghai Magus Technology Company Limited,Shanghai 200233,China
  • Received:2014-05-30 Online:2016-01-30 Published:2016-01-30

Abstract: To make up for the lack of standard in data exchange of practical application, the conceptions of “self-standard data”,“data harbor”, “data dock” and “data pump” are proposed. Using these concepts, the data supplier can organize their data in a more flexible way. Data supplier can standardize the data provided, and store the data in "data harbor". For data consumers, they can obtain these data by means of data pump and parse the needed data from the data supplied by the data supplier. The definition and characteristics of self-standard data, the generating background, data exchange technical architecture based on self-standard data and data harbor, and the application areas are discussed in details. The effectiveness and feasibility of the self-standard data and data harbor technique are demonstrated by the realization of prototype system and enterprise application.

Key words: computer application, self-standard data, data harbour, data dock, data pump, self-standard data exchange technology architecture

CLC Number: 

  • TP391
[1] ISO/IEC 11179-1:information technology-metadata registries (MDR)-part 1: framework for the specification and standardization of data elements[S]. 2nd ed, 2004:10-15.
[2] Marcelo Arenas, Pablo Barcel'O,Leonid Likkin,et al. Foundation of Data Exchange[M]. New York:Cambridge University Press, 2014:29-32.
[3] Electronics Industry Data Exchange (EIDX)[EB/OL].[2013-5-15].http//www.eidx.comptia.org/guidelines/xref_download.aspx.
[4] ASC.X12:Enterprise electronic data exchange standard[EB/OL].[2013-5-15]. http://www.x12.org/x12org/subcommittees/dev/pDF/X12RELEASESCHED.pdf.
[5] UN/EDIFACT:7372-86《贸易数据元目录》[S]. 1986.
[6] Open Application Group Integration Specification, Release8.0[EB/OL].[2013-10-25].http://www.openapplications .org/ downloads/oagis/loadform.htm.
[7] RosettaNet Reinstates Free Standards Access[EB/OL].[2009-10-23].http://xml.coverpages.org/RosettaNetFreeStandardsAccess-20081124.pdf.
[8] XML. Common Business Library[EB/OL].[2003-09-23]. http://www.xcbl.org/xcbl40/documentation.shtml.
[9] 中华人民共和国科学技术部.科学数据共享工程技术标准-数据交换格式设计规则[S]. SDS/T 2134-2004,2004.
[10] 章晓杭,马殿富. 政务信息资源目录体系和交换体系总体框架探讨[EB/OL].[2013-09-09].http://www.e-gov.org.cn?/news/news007?2010-09-09?110781.html.
[11] Martin James, Finkelstein Clive. Information Engineering[M]. Englewood Cliffs: Prentice-Hall, Inc, 1981:10-40.
[12] Martin James. Strategic Data-Planning Methodologies[M]. Englewood Cliffs: Prentice-Hall, Inc,1982:20-30.
[13] Martin James. An Information Systems Manifesto[M]. Englewood Cliffs: Prentice-Hall, Inc,1982:40-55.
[14] 戴剑伟,吴照林,龚建化,等. 数据工程理论与技术[M]. 北京:国防工业出版社,2010:90-94.
[15] ISO/IEC 11179-2:Information technology-metadata registries (MDR)-part 2: classification for data elements[S]. 2nd ed,2005.
[16] ISO/IEC 11179-3:Information technology-metadata registries (MDR)-part 3: basic attributes and registry metamodel[S]. 2nd ed,2013.
[17] ISO/IEC 11179-3:Information technology-metadata registries (MDR)-part 4: rules and guidelines for the formulation of data definitions[S]. 2nd ed,2005.
[18] ISO/IEC 11179-3:Information technology-metadata registries (MDR)-part 5: naming and identification principles[S]. 2nd ed,2005.
[1] LIU Fu,ZONG Yu-xuan,KANG Bing,ZHANG Yi-meng,LIN Cai-xia,ZHAO Hong-wei. Dorsal hand vein recognition system based on optimized texture features [J]. Journal of Jilin University(Engineering and Technology Edition), 2018, 48(6): 1844-1850.
[2] WANG Li-min,LIU Yang,SUN Ming-hui,LI Mei-hui. Ensemble of unrestricted K-dependence Bayesian classifiers based on Markov blanket [J]. Journal of Jilin University(Engineering and Technology Edition), 2018, 48(6): 1851-1858.
[3] JIN Shun-fu,WANG Bao-shuai,HAO Shan-shan,JIA Xiao-guang,HUO Zhan-qiang. Synchronous sleeping based energy saving strategy of reservation virtual machines in cloud data centers and its performance research [J]. Journal of Jilin University(Engineering and Technology Edition), 2018, 48(6): 1859-1866.
[4] ZHAO Dong,SUN Ming-yu,ZHU Jin-long,YU Fan-hua,LIU Guang-jie,CHEN Hui-ling. Improved moth-flame optimization method based on combination of particle swarm optimization and simplex method [J]. Journal of Jilin University(Engineering and Technology Edition), 2018, 48(6): 1867-1872.
[5] LIU En-ze,WU Wen-fu. Agricultural surface multiple feature decision fusion disease judgment algorithm based on machine vision [J]. Journal of Jilin University(Engineering and Technology Edition), 2018, 48(6): 1873-1878.
[6] OUYANG Dan-tong, FAN Qi. Clause-level context-aware open information extraction [J]. Journal of Jilin University(Engineering and Technology Edition), 2018, 48(5): 1563-1570.
[7] LIU Fu, LAN Xu-teng, HOU Tao, KANG Bing, LIU Yun, LIN Cai-xia. Metagenomic clustering method based on k-mer frequency optimization [J]. Journal of Jilin University(Engineering and Technology Edition), 2018, 48(5): 1593-1599.
[8] GUI Chun, HUANG Wang-xing. Network clustering method based on improved label propagation algorithm [J]. Journal of Jilin University(Engineering and Technology Edition), 2018, 48(5): 1600-1605.
[9] LIU Yuan-ning, LIU Shuai, ZHU Xiao-dong, CHEN Yi-hao, ZHENG Shao-ge, SHEN Chun-zhuang. LOG operator and adaptive optimization Gabor filtering for iris recognition [J]. Journal of Jilin University(Engineering and Technology Edition), 2018, 48(5): 1606-1613.
[10] CHE Xiang-jiu, WANG Li, GUO Xiao-xin. Improved boundary detection based on multi-scale cues fusion [J]. Journal of Jilin University(Engineering and Technology Edition), 2018, 48(5): 1621-1628.
[11] ZHAO Hong-wei, LIU Yu-qi, DONG Li-yan, WANG Yu, LIU Pei. Dynamic route optimization algorithm based on hybrid in ITS [J]. 吉林大学学报(工学版), 2018, 48(4): 1214-1223.
[12] HUANG Hui, FENG Xi-an, WEI Yan, XU Chi, CHEN Hui-ling. An intelligent system based on enhanced kernel extreme learning machine for choosing the second major [J]. 吉林大学学报(工学版), 2018, 48(4): 1224-1230.
[13] FU Wen-bo, ZHANG Jie, CHEN Yong-le. Network topology discovery algorithm against routing spoofing attack in Internet of things [J]. 吉林大学学报(工学版), 2018, 48(4): 1231-1236.
[14] CAO Jie, SU Zhe, LI Xiao-xu. Image annotation method based on Corr-LDA model [J]. 吉林大学学报(工学版), 2018, 48(4): 1237-1243.
[15] HOU Yong-hong, WANG Li-wei, XING Jia-ming. HTTP-based dynamic adaptive streaming video transmission algorithm [J]. 吉林大学学报(工学版), 2018, 48(4): 1244-1253.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!