TDH EAI

This repository is an implementation of our TDH model and EAI algorithm in EDBT 2019 paper "Crowdsourced Truth Discovery in the Presence of Hierarchies for Knowledge Fusion". It is implemented in Python 3.6.

Running

Example)

python experiment.py --data birthplaces --truth_inference TDH --crowdsourcing True --task_assignment EAI

Citation

@inproceedings{jung2019crowdsourced,
  title={Crowdsourced Truth Discovery in the Presence of Hierarchies for Knowledge Fusion},
  author={Jung, Woohwan and Kim, Younghoon and Shim, Kyuseok},
  year={2019},
  booktitle = {Advances in Database Technology - 22nd International Conference on
               Extending Database Technology, {EDBT} 2019, Lisbon, Portugal, March
               26-29, 2019},
  pages     = {205--216},
  doi       = {10.5441/002/edbt.2019.19},
}