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Data Analysis and Knowledge Discovery  2020, Vol. 4 Issue (1): 76-88    DOI: 10.11925/infotech.2096-3467.2019.0791
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An Evolutionary Schema for Metadata Description
Xuhui Li1,2(),Tao Yu1,Ting Li1,Yiwen Li3,Jinguang Gu4
1School of Information Management, Wuhan University, Wuhan 430072, China
2Center for Studies of Information Resources, Wuhan University, Wuhan 430072, China
3College of Computer Science and Electronic Engineering, Hunan University, Changsha 410082, China
4College of Computer Science and Technology, Wuhan University of Science and Technology,Wuhan 430065, China
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Abstract  

[Objective] This paper proposes an evolutionary schema for metadata description, aiming to address the frequent changing of schema for information system applications.[Methods] First, we summarized related research and formalized the structural description of the conceptual schema. Then, we summarized the common forms of conceptual schema evolution by combining schema structures. Finally, we determined the evolution schema structure based on the normal model.[Results] This paper established an evolutionary mechanism for metadata description and the ENM (Evolutionary Normal Metadata) model.[Limitations] This paper is only a preliminary study. More in-depth discussion is needed on the theoretical nature of structural expressions of normal conceptual schema.[Conclusions] The proposed method has strong abilityin the concept description of semantic features.

Key wordsMetadata Description      Schema Evolution      Schema Description     
Received: 03 July 2019      Published: 14 March 2020
ZTFLH:  G203  
Corresponding Authors: Xuhui Li     E-mail: lixuhui@whu.edu.cn

Cite this article:

Xuhui Li,Tao Yu,Ting Li,Yiwen Li,Jinguang Gu. An Evolutionary Schema for Metadata Description. Data Analysis and Knowledge Discovery, 2020, 4(1): 76-88.

URL:

https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.2096-3467.2019.0791     OR     https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y2020/V4/I1/76

Teaching Relationship Attribute Figure
语义特征描述

概念模式
关系模式 对象模式 XML模式 正规概念模式
概念属性出现描述 聚集 聚集、多重 聚集、选择、多重 聚集、选择、多重
概念属性扩展 不支持 支持 支持 支持
概念属性结构限定 限定属性出现、属性个数 限定属性出现、属性个数
相关概念分离 不支持 不支持 不支持 支持
一般概念泛化 不支持 不支持 不支持 支持
Metadata Description Mechanism
Teaching Relationship Figure
[1] Codd E F . A Relational Model of Data for Large Shared Data Banks[J]. Communications of the ACM, 1970,13(6):377-387.
[2] Ensor D . A Brief History of Oracle[A].Oracle Insights: Tales of the Oak Table[M]. Apress, 2004.
[3] Frie dman C, Hripcsak G, Johnson S B, et al. A Generalized Relational Schema for an Integrated Clinical Patient Database [C]// Proceedings of the Annual Symposium on Computer Application in Medical Care. 1990.
[4] Link S, Prade H . Relational Database Schema Design for Uncertain Data[J]. Information Systems, 2019,84:88-110.
[5] Bray T, Paoli J, Sperberg-McQueen C M . Extensible Markup Language (XML) 1.0 [EB/OL]. [ 2019- 08- 15]. .
[6] Biron P V, Malhotra A . XML Schema Part 2: Datatypes [EB/OL]. [ 2019- 08- 15]. .
[7] Thompson H S, Beech D, Maloney M , et al. XML Schema Part 1: Structures [EB/OL]. [ 2019- 08- 15]. .
[8] Davidson A, Fuchs M, Hedin M , et al. Schema for Object-Oriented XML 2.0 [EB/OL]. [ 2019- 08- 15]. .
[9] Tanaka K, Yoshikawa M, Ishihara K. Schema Virtualization in Object-Oriented Databases [C]// Proceedings of the 4th International Conference on Data Engineering. IEEE, 1988.
[10] Rahim S A, Chakraborty B, Debnath J, et al. Design Graph Multi-Dimensional Data Model of a Data Warehouse and Conversion of Its Equivalent Object-Oriented Schema [C]// Proceedings of the 2013 IEEE Symposium on Computers & Communications. IEEE, 2013.
[11] Arenas M, Libkin L . XML Data Exchange: Consistency and Query Answering[J]. Journal of the ACM, 2008, 55(2): Article No. 7.
[12] Amano S, Libkin L, Murlak F. XML Schema Mappings [C]// Proceedings of the 28th ACM SIGMOD-SIGACT-SIGART Symposium on Principles of Database Systems, Providence, Rhode Island, USA. ACM, 2009: 33-42.
[13] Selma E Y E I, Zellou A, Idri A. A New Mapping Approach Between XML Schemas in a P2P Environment [C]// Proceedings of the 10th International Conference on Developments in eSystems Engineering. IEEE, 2017: 212-217.
[14] Pezoa F, Reutter J L, Suarez F, et al. Foundations of JSON Schema [C]// Proceedings of the 25th International Conference on World Wide Web. 2016.
[15] Bourhis P, Reutter J L, Suárez F, et al. JSON: Data Model, Query Languages and Schema Specification [C]// Proceedings of the 36th ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database Systems. ACM, 2017: 123-135.
[16] Internet Engineering Task Force (IETF). The JavaScript Object Notation (JSON) Data Interchange Format[EB/OL].[2019-08-15]. .
[17] Beyer K S, Özcan F, Saiprasad S, et al. DB2/XML: Designing for Evolution [C]// Proceedings of the 2005 ACM SIGMOD International Conference on Management of Data, Baltimore, Maryland, USA. ACM, 2005: 948-952.
[18] Bouchou B, Duarte D, Alves M H F, et al. Schema Evolution for XML: A Consistency-Preserving Approach [C]// Proceedings of the 29th International Symposium on Mathematical Foundations of Computer Science. 2004: 876-888.
[19] Peters R J, Tamer Ozsu M. Axiomatization of Dynamic Schema Evolution in Object Bases [C]// Proceedings of the 11th International Conference on Data Engineering. 1995.
[20] Roddick J F . Schema Evolution in Database Systems: An Annotated Bibliography[J]. ACM SIGMOD Record, 1992,21(4):35-40.
[21] Lu J, Dong C, Dong W. A Equivalent Object-Oriented Schema Evolution Approach Using the Path-Independence Language [C]// Proceedings of the 31st International Conference on Technology of Object-Oriented Languages & Systems. IEEE, 1999.
[22] De Matos Galante R, Dos Santos C S, Edelweiss N , et al. Temporal and Versioning Model for Schema Evolution in Object-Oriented Databases[J]. Data & Knowledge Engineering, 2005,53(2):99-128.
[23] Monk S R, Sommerville I . Schema Evolution in OODBs Using Class Versioning[J]. ACM SIGMOD Record, 1993,22(3):16-22.
[24] Piccioni M, Oriol M, Meyer B. IDE-integrated Support for Schema Evolution in Object-Oriented Applications [C]// Proceedings of the 4th ECOOP Workshop on Reflection, AOP, and Meta-Data for Software Evolution. 2012.
[25] 孙立健, 张翀, 郭澄 , 等. 面向时空特性的地理信息元数据组织方法[J]. 计算机应用, 2018,38(S2):152-156.
[25] ( Sun Lijian, Zhang Chong, Guo Cheng , et al. Method of Organizing Spatial-temporal Geographic Metadata[J]. Journal of Computer Applications, 2018,38(S2):152-156.)
[26] Baldonado M, Chang C C K, Gravano L , et al. The Stanford Digital Library Metadata Architecture[J]. International Journal on Digital Libraries, 1997,1(2):108-121.
[27] 黄如花, 李楠 . 澳大利亚开放政府数据的元数据标准——对Data.gov.au的调研与启示[J]. 图书馆杂志, 2017,36(5):87-97.
[27] ( Huang Ruhua, Li Nan . Open Government Data Standards of Metadata in Australia: Investigation into & Englightenment from Data.gov.au[J]. Library Journal, 2017,36(5):87-97. )
[28] 赵蓉英, 梁志森, 段培培 . 英国政府数据开放共享的元数据标准——对Data.gov.uk的调研与启示[J]. 图书情报工作, 2016,60(19):31-39.
[28] ( Zhao Rongying, Liang Zhisen , DuanPeipei. Metadata Standards of Open Government Data in U.K:The Investigation & Enlightenment of Data.gov.uk[J]. Library and Information Service, 2016,60(19):31-39.)
[29] Duval E, Hodgins W, Sutton S , et al. Metadata Principles and Practicalities[J]. D-Lib Magazine, 2002,8(4):1-16.
[30] 张晓林 . 元数据开发应用的标准化框架[J]. 现代图书情报技术, 2001(2):9-11.
[30] ( Zhang Xiaolin . The Standardization Framework of Metadata[J]. New Technology of Library and Information Service, 2001(2):9-11.)
[31] 张晓林 . 开放元数据机制:理念与原则[J]. 中国图书馆学报, 2003,29(3):9-14.
[31] ( Zhang Xiaolin . Open Metadata Mechanism: Ideas and Principles[J]. The Journal of the Library Science in China, 2003,29(3):9-14.)
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