Design of Heterogeneous Data Integration and Sharing System for Coastal International Trade

被引:3
作者
Geng, Dongfeng [1 ]
机构
[1] Puyang Vocat & Tech Coll, Sch Econ & Management, Puyang 457000, Peoples R China
关键词
Coastal international trade; heterogeneous data; integration and sharing; XML technology;
D O I
10.2112/SI103-147.1
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
After the establishment of several free trade zones and cross-border e-commerce comprehensive pilot zones along the coast of China, the volume of China's international trade has grown rapidly, but at the same time, the trade situation has become increasingly complex. In order to develop the international trade business better, the scientific formulation and timely adjustment of trade policy need to be carried out. Policy making and adjustment need to be based on the integration and sharing of massive data. In order to solve the problem that the performance of traditional heterogeneous data integration and sharing system is insufficient, a coastal international trade heterogeneous data integration and sharing system based on middleware and XML is designed. This system introduces the key technologies of system design, which are middleware and XML. Then a four-tier architecture based on middleware and XML is designed, and then the heterogeneous data integration module is analyzed, including mediator, wrapper and Web Services management. Finally, the system is implemented and tested. The results show that the system is superior to three traditional heterogeneous data integration and sharing systems in four aspects: query speed, accuracy, integration and whether it supports data structure, which proves that the performance of the system is stronger.
引用
收藏
页码:718 / 721
页数:4
相关论文
共 16 条
[1]   Firm heterogeneity and FDI-related productivity spillovers: A theoretical investigation [J].
Anwar, Sajid ;
Sun, Sizhong .
JOURNAL OF INTERNATIONAL TRADE & ECONOMIC DEVELOPMENT, 2019, 28 (01) :1-10
[2]   Intelligent early structural health prognosis with nonlinear system identification for RFID signal analysis [J].
Chen, Hanxin ;
Chen, Yongting ;
Yang, Liu .
COMPUTER COMMUNICATIONS, 2020, 157 :150-161
[3]  
Erkisi K., 2019, J EC FINANCE ACCOUNT, V6, P82
[4]   Internal Geography, Labor Mobility, and the Distributional Impacts of Trade [J].
Fan, Jingting .
AMERICAN ECONOMIC JOURNAL-MACROECONOMICS, 2019, 11 (03) :252-288
[5]  
Guo J., 2019, J CLEANER PRODUCTION
[6]   Measurement framework for assessing disruptive innovations [J].
Guo, Jianfeng ;
Pan, Jiaofeng ;
Guo, Jianxin ;
Gu, Fu ;
Kuusisto, Jari .
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE, 2019, 139 :250-265
[7]  
[冀振燕 Ji Zhenyan], 2019, [北京邮电大学学报, Journal of Beijing University of Posts Telecommunications], V42, P126
[8]  
Li C, 2018, COMPUTER DIGITAL ENG, V46, P928
[9]   Spatial heterogeneity of ports in the global maritime network detected by weighted ego network analysis [J].
Liu, Chengliang ;
Wang, Jiaqi ;
Zhang, Hong .
MARITIME POLICY & MANAGEMENT, 2018, 45 (01) :89-104
[10]  
MAO ZX, 2018, MICROELECTRONICS COM, V35