AllegatorTrack

Combining and reporting results of truth discovery from multi-source data

Dalia Attia Waguih, Naman Goel, Hossam Hammady, Laure Berti-Equille

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Citations (Scopus)

Abstract

In the Web, a massive amount of user-generated contents is available through various channels, e.g., texts, tweets, Web tables, databases, multimedia-sharing platforms, etc. Conflicting information, rumors, erroneous and fake contents can be easily spread across multiple sources, making it hard to distinguish between what is true and what is not. How do you figure out that a lie has been told often enough that it is now considered to be true? How many lying sources are required to introduce confusion in what you knew before to be the truth? To answer these questions, we present AllegatorTrack, a system that discovers true claims among conflicting data from multiple sources.

Original languageEnglish
Title of host publicationProceedings - International Conference on Data Engineering
PublisherIEEE Computer Society
Pages1440-1443
Number of pages4
Volume2015-May
ISBN (Print)9781479979639
DOIs
Publication statusPublished - 26 May 2015
Event2015 31st IEEE International Conference on Data Engineering, ICDE 2015 - Seoul, Korea, Republic of
Duration: 13 Apr 201517 Apr 2015

Other

Other2015 31st IEEE International Conference on Data Engineering, ICDE 2015
CountryKorea, Republic of
CitySeoul
Period13/4/1517/4/15

ASJC Scopus subject areas

  • Information Systems
  • Signal Processing
  • Software

Cite this

Waguih, D. A., Goel, N., Hammady, H., & Berti-Equille, L. (2015). AllegatorTrack: Combining and reporting results of truth discovery from multi-source data. In Proceedings - International Conference on Data Engineering (Vol. 2015-May, pp. 1440-1443). [7113396] IEEE Computer Society. https://doi.org/10.1109/ICDE.2015.7113396

AllegatorTrack : Combining and reporting results of truth discovery from multi-source data. / Waguih, Dalia Attia; Goel, Naman; Hammady, Hossam; Berti-Equille, Laure.

Proceedings - International Conference on Data Engineering. Vol. 2015-May IEEE Computer Society, 2015. p. 1440-1443 7113396.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Waguih, DA, Goel, N, Hammady, H & Berti-Equille, L 2015, AllegatorTrack: Combining and reporting results of truth discovery from multi-source data. in Proceedings - International Conference on Data Engineering. vol. 2015-May, 7113396, IEEE Computer Society, pp. 1440-1443, 2015 31st IEEE International Conference on Data Engineering, ICDE 2015, Seoul, Korea, Republic of, 13/4/15. https://doi.org/10.1109/ICDE.2015.7113396
Waguih DA, Goel N, Hammady H, Berti-Equille L. AllegatorTrack: Combining and reporting results of truth discovery from multi-source data. In Proceedings - International Conference on Data Engineering. Vol. 2015-May. IEEE Computer Society. 2015. p. 1440-1443. 7113396 https://doi.org/10.1109/ICDE.2015.7113396
Waguih, Dalia Attia ; Goel, Naman ; Hammady, Hossam ; Berti-Equille, Laure. / AllegatorTrack : Combining and reporting results of truth discovery from multi-source data. Proceedings - International Conference on Data Engineering. Vol. 2015-May IEEE Computer Society, 2015. pp. 1440-1443
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