Truth Discovery Comparative Analysis

Java implementation of truth discovery algorithms

This repository contains all the Java source code of truth discovery methods used for the comparative analysis of our Arxiv paper CoRR abs/1409.6428

The main goal of this project was to design a scalable and accurate truth discovery system to score the veracity of structured data extracted from multiple online sources.

We provided a demo of the tool we have developped, called AllegatorTrack (not longer maintained) at ICDE 2015 in Seoul.

Existing truth discovery models have limited applicability and we extensively studied them in our experimental evaluation study.

For more information

Please check the documentation folder to access additional resources on truth discovery (papers, tutorials, demo poster).

• Laure Berti-Équille, Javier Borge-Holthoefer, Veracity of Data: From Truth Discovery Computation Algorithms to Models of Misinformation Dynamics. Synthesis Lectures on Data Management, Morgan & Claypool Publishers, December 2015. Publisher Site

• Laure Berti-Équille, Javier Borge-Holthoefer. Scaling Up Truth Discovery. Tutorial at the International Conference on Data Engineering (ICDE 2016), Helsinki, May 2016. Abstract Slides

• Laure Berti-Équille, Javier Borge-Holthoefer. Veracity of Big Data: From Truth Discovery Computation Algorithms to Models of Misinformation Dynamics. Tutorial at the 24th ACM International on Conference on Information and Knowledge Management (CIKM 2015), Melbourne, October 2015. Slides

• Dalia Attia Waguih, Naman Goel, Hossam M. Hammady, Laure Berti-Equille. AllegatorTrack: Visualizing and Explaining Truth Discovery Results from Multisource Data (demo). The 31th International Conference on Data Engineering (ICDE), Seoul, Korea, 2015 demo paper

• Dalia Attia Waguih, Laure Berti-Equille. Truth Discovery Algorithms - An Experimental Evaluation. Arxiv CoRR abs/1409.6428

Licence

Learn2Clean is licensed under the BSD 3-Clause "New" or "Revised" License.