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.
引用
收藏
页数：2
相关论文
共 50 条
  • [1] Semantics, Knowledge and Grids on Big Data
    Hai Zhuge
    Sun, Xiaoping
    FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2016, 64 : 163 - 164
  • [2] Scholarly Big Data Knowledge and Semantics
    Giles, C. Lee
    PROCEEDINGS OF THE 25TH INTERNATIONAL CONFERENCE ON WORLD WIDE WEB (WWW'16 COMPANION), 2016, : 371 - 371
  • [3] Semantics, knowledge and grids
    Hai Zhuge
    CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, 2015, 27 (15): : 3912 - 3914
  • [4] Securing Big Data in the Age of AI
    Kantarcioglu, Murat
    Shaon, Fahad
    2019 FIRST IEEE INTERNATIONAL CONFERENCE ON TRUST, PRIVACY AND SECURITY IN INTELLIGENT SYSTEMS AND APPLICATIONS (TPS-ISA 2019), 2019, : 218 - 220
  • [5] Geospatial semantics, ontology and knowledge graphs for big Earth data
    Zhu, Yunqiang
    BIG EARTH DATA, 2019, 3 (03) : 187 - 190
  • [6] Special Issue: Semantics, Knowledge and Grids
    Sun, Xiaoping
    Dong, Xin
    CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, 2011, 23 (09): : 863 - 865
  • [7] Trustworthy AI in the Age of Pervasive Computing and Big Data
    Kumar, Abhishek
    Braud, Tristan
    Tarkoma, Sasu
    Hui, Pan
    2020 IEEE INTERNATIONAL CONFERENCE ON PERVASIVE COMPUTING AND COMMUNICATIONS WORKSHOPS (PERCOM WORKSHOPS), 2020,
  • [8] Semantics for Big Data
    van Harmelen, Frank
    Hendler, James A.
    Hitzler, Pascal
    Janowicz, Krzysztof
    AI MAGAZINE, 2015, 36 (01) : 3 - 4
  • [9] Big Data Semantics
    Ceravolo, Paolo
    Azzini, Antonia
    Angelini, Marco
    Catarci, Tiziana
    Cudre-Mauroux, Philippe
    Damiani, Ernesto
    Mazak, Alexandra
    Van Keulen, Maurice
    Jarrar, Mustafa
    Santucci, Giuseppe
    Sattler, Kai-Uwe
    Scannapieco, Monica
    Wimmer, Manuel
    Wrembel, Robert
    Zaraket, Fadi
    JOURNAL ON DATA SEMANTICS, 2018, 7 (02) : 65 - 85
  • [10] Knowledge Bases in the Age of Big Data Analytics
    Suchanek, Fabian M.
    Weikum, Gerhard
    PROCEEDINGS OF THE VLDB ENDOWMENT, 2014, 7 (13): : 1713 - 1714
12345