Computational Intelligence and Neuroscience / 2017 / Article / Alg 1

Research Article

Refining Automatically Extracted Knowledge Bases Using Crowdsourcing

Algorithm 1

Rank-based knowledge refining.
Input: A set of extracted candidate facts , semantic constraints , a budge , a threshold
Output: Refined knowledge base
Initialize with machine based estimations
Calculate scores using Eq. (15)
Calculate scores using Eq. (17)
Calculate using Eq. (18)
Rank candidate facts by scores and select top instances from to conduct crowdsourcing
facts with a confirm from the crowd

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