# An Integrated Bayesian Approach for Effective Multi-Truth Discovery

<http://cs.adelaide.edu.au/~qsheng/papers/cikm2015-2.pdf>

- Host: [cs.adelaide.edu.au](https://links.thingelstad.xyz/hosts/cs.adelaide.edu.au/)
- Saved: December 29, 2015 (2015-12-29T11:36:44Z)
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## From the page (probably an excerpt, not Jamie's words)

Integrating data from multiple sources has been increasingly becoming a commonplace in both Web and the emerging Internet of Things (IoT) applications to support collective intelligence and collaborative decision making. Unfortunately, it is not unusual that the information about a single item comes from different sources, which might be noisy, out-of-date, or even erroneous. It is therefore of paramount importance to resolve such conflicts among the data and to find out which piece of information is more reliable.

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- Kind: [Paper](https://links.thingelstad.xyz/kinds/paper/)

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## Elsewhere

- Wayback Machine: https://web.archive.org/web/*/http://cs.adelaide.edu.au/~qsheng/papers/cikm2015-2.pdf
