Semantics, knowledge, and grids at the age of big data and AI

被引：0
|
作者：
Hai Zhuge [1 ,2 ,3 ]
Sun, Xiaoping [2 ]
机构：
[1] Guangzhou Univ, Lab Cyber Phys Social Intelligence, Guangzhou, Guangdong, Peoples R China
[2] Univ Chinese Acad Sci, Key Lab Intelligent Informat Proc, Inst Comp Technol, Chinese Acad Sci, Beijing 100190, Peoples R China
[3] Aston Univ, Syst Analyt Res Inst, Birmingham, W Midlands, England
来源：
CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE | 2019年 / 31卷 / 03期
基金：
中国国家自然科学基金;
关键词：
PROVENANCE;
D O I：
10.1002/cpe.5066
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
The rapid development of data science and artificial intelligence provides new methods and tools for exploring semantics, knowledge, and grids-the evolving interconnection environment. Different streams of research including Internet of Things, cloud computing, edge-computing, semantics modeling, and cyber-physical society are converging to support an intelligent interconnection environment. It is an important issue to create the method for ensuring the sustainable development of this interconnection environment. Big data and machine learning provide an empirical model for resolving this issue that is different from the method based on semantics and knowledge.
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页数：2
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