Conceptual Framework for entity integration from multiple data sources

被引：0
|
作者：
Orescanin, Drazen [1 ]
Tan, Ran [2 ]
Ao, Jing [2 ]
机构：
[1] Univ Zagreb, Fac Elect Engn & Comp, Zagreb, Croatia
[2] North Carolina State Univ, Dept Comp Sci, Raleigh, NC 27695 USA
来源：
2019 42ND INTERNATIONAL CONVENTION ON INFORMATION AND COMMUNICATION TECHNOLOGY, ELECTRONICS AND MICROELECTRONICS (MIPRO) | 2019年
关键词：
RESOLUTION;
D O I：
10.23919/mipro.2019.8756935
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Entity matching and entity resolution are becoming more important disciplines in data management over time, based on increasing number of data sources that should be addressed in economy that is undergoing digital transformation process, with growing data volumes and increasing requirements related to data privacy. It is necessary to automate processes as much as possible by using predefined scenarios supported by frameworks.
引用
收藏
页码：1232 / 1237
页数：6
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