Zhang, Danchen and Zadorozhny, Vladimir
(2019)
SLFTD: a subjective logic based framework for truth discovery.
In: 23rd European Conference on Advances in Databases and Information Systems, 8-11 September 2019, Bled, Slovenia.
Abstract
Finding truth from various conflicting candidate values provided by different data sources is called truth discovery, which is of vital importance in data integration. Several algorithms have been proposed in this area, which usually have similar procedure: iterativly inferring the truth and provider's reliability on providing truth until converge. Therefore, an accurate provider's reliability evaluation is essential. However, no work pays attention to ``how reliable this provider continuously providing truth". Therefore, we introduce subjective logic, which can records both (1) the provider's reliability of generating truth, and (2) reliability of provider continuously doing so. Our proposed methods provides a better evaluation for data providers, and based which, truth are discovered more accurately. Our framework can handle both categorical and numerical data, and can identify truth in either a generative or discriminative way. Experiments on two popular real world datasets, Book and Population, validates that our proposed subjective logic based framework can discover truth much more accurately than state-of-art methods.
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Details
| Item Type: |
Conference or Workshop Item
(Paper)
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| Status: |
Published |
| Creators/Authors: |
|
| Date: |
2019 |
| Date Type: |
Publication |
| Journal or Publication Title: |
European Conference on Advances in Databases and Information Systems |
| Event Title: |
23rd European Conference on Advances in Databases and Information Systems |
| Event Dates: |
8-11 September 2019 |
| Event Type: |
Conference |
| Schools and Programs: |
School of Computing and Information > Information Science |
| Refereed: |
Yes |
| Date Deposited: |
27 Apr 2021 13:11 |
| Last Modified: |
27 Apr 2021 13:11 |
| URI: |
http://d-scholarship.pitt.edu/id/eprint/40802 |
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