Truth Discovery from Conflicting Data: A Survey

被引:0
|
作者
方秀 [1 ]
王康 [1 ]
孙国豪 [1 ]
司苏新 [1 ]
吕航 [1 ]
机构
[1] School of Computer Science and Technology,Donghua University
关键词
D O I
10.19884/j.1672-5220.202203010
中图分类号
TP311.13 [];
学科分类号
1201 ;
摘要
With the rocketing progress of the Internet, it is easier for people to get information about the objects that they are interested in. However, this information usually has conflicts. In order to resolve conflicts and get the true information, truth discovery has been proposed and received widespread attention. Many algorithms have been proposed to adapt to different scenarios. This paper aims to investigate these algorithms and summarize them from the perspective of algorithm models and specific concepts. Some classic datasets and evaluation metrics are given in this paper. Some future directions for readers are also provided to better understand the field of truth discovery.
引用
收藏
页码:410 / 420
页数:11
相关论文
共 50 条
  • [1] Truth Discovery from Conflicting Multi-Valued Objects
    Fang, Xiu Susie
    WWW'17 COMPANION: PROCEEDINGS OF THE 26TH INTERNATIONAL CONFERENCE ON WORLD WIDE WEB, 2017, : 711 - 715
  • [2] Truth discovery with multiple conflicting information providers on the Web
    Yin, Xiaoxin
    Han, Jiawei
    Yu, Philip S.
    IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2008, 20 (06) : 796 - 808
  • [3] Domain-Aware Multi-Truth Discovery from Conflicting Sources
    Lin, Xueling
    Chen, Lei
    PROCEEDINGS OF THE VLDB ENDOWMENT, 2018, 11 (05): : 635 - 647
  • [4] Truth Discovery with Multiple Conflicting Information Providers on the Web
    Yin, Xiaoxin
    Han, Jiawei
    Yu, Philip S.
    KDD-2007 PROCEEDINGS OF THE THIRTEENTH ACM SIGKDD INTERNATIONAL CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING, 2007, : 1048 - 1052
  • [5] A Bayesian Approach to Discovering Truth from Conflicting Sources for Data Integration
    Zhao, Bo
    Rubinstein, Benjamin I. P.
    Gemmell, Jim
    Han, Jiawei
    PROCEEDINGS OF THE VLDB ENDOWMENT, 2012, 5 (06): : 550 - 561
  • [6] Estimate Information Fusion Weight of WSNs Nodes Based on Truth Discovery Optimization Method Among Conflicting Sources of Data
    Xiao, Kejiang
    Chen, Zhiwen
    Yang, Chunhua
    IEEE ACCESS, 2019, 7 : 35606 - 35618
  • [7] Truth Discovery on Inconsistent Relational Data
    Jizhou Sun
    Jianzhong Li
    Hong Gao
    Hongzhi Wang
    TsinghuaScienceandTechnology, 2018, 23 (03) : 288 - 302
  • [8] Truth Discovery on Inconsistent Relational Data
    Sun, Jizhou
    Li, Jianzhong
    Gao, Hong
    Wang, Hongzhi
    TSINGHUA SCIENCE AND TECHNOLOGY, 2018, 23 (03) : 288 - 302
  • [9] Dynamic Truth Discovery on Numerical Data
    Zhi, Shi
    Yang, Fan
    Zhu, Zheyi
    Li, Qi
    Wang, Zhaoran
    Han, Jiawei
    2018 IEEE INTERNATIONAL CONFERENCE ON DATA MINING (ICDM), 2018, : 817 - 826
  • [10] Truth Discovery for Spatio-Temporal Events from Crowdsourced Data
    Garcia-Ulloa, Daniel A.
    Xiong, Li
    Sunderam, Vaidy
    PROCEEDINGS OF THE VLDB ENDOWMENT, 2017, 10 (11): : 1562 - 1573