research-article

A Survey on Truth Discovery

Authors:

Jiawei HanAuthors Info & Claims

ACM SIGKDD Explorations Newsletter, Volume 17, Issue 2

Pages 1 - 16

https://doi.org/10.1145/2897350.2897352

Published: 25 February 2016 Publication History

Abstract

Thanks to information explosion, data for the objects of interest can be collected from increasingly more sources. However, for the same object, there usually exist conflicts among the collected multi-source information. To tackle this challenge, truth discovery, which integrates multi-source noisy information by estimating the reliability of each source, has emerged as a hot topic. Several truth discovery methods have been proposed for various scenarios, and they have been successfully applied in diverse application domains. In this survey, we focus on providing a comprehensive overview of truth discovery methods, and summarizing them from different aspects. We also discuss some future directions of truth discovery research. We hope that this survey will promote a better understanding of the current progress on truth discovery, and offer some guidelines on how to apply these approaches in application domains.

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Published In

cover image ACM SIGKDD Explorations Newsletter

ACM SIGKDD Explorations Newsletter Volume 17, Issue 2

December 2015

41 pages

ISSN:1931-0145

EISSN:1931-0153

DOI:10.1145/2897350

Editors:
Charu Aggarwal
IBM T.J. Watson
,
Haixun Wang
Google
,
Ankur M. Teredesai
University of Washington Tacoma
,
Hanghang Tong
Arizona State University

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Copyright © 2016 Authors.

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Published: 25 February 2016

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https://doi.org/10.1016/j.ejor.2024.08.024
Han BFu QSu HChi CZhang CWang J(2024)A Privacy-Preserving and Quality-Aware User Selection Scheme for IoTMathematics10.3390/math1219296112:19(2961)Online publication date: 24-Sep-2024
https://doi.org/10.3390/math12192961
Peng HZhang PTang JXu HZeng W(2024)Detect-Then-Resolve: Enhancing Knowledge Graph Conflict Resolution with Large Language ModelMathematics10.3390/math1215231812:15(2318)Online publication date: 24-Jul-2024
https://doi.org/10.3390/math12152318
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