. . . . "Simple issues like syntax errors or duplicates can be easily identified and repaired in a fully automatic fash- ion. However, data quality issues in LD are more challenging to detect. Current approaches to tackle these problems still require expert human intervention, e.g., for specifying rules [14] or test cases [21], or fail due to the context-specific nature of quality assessment, which does not lend itself well to general workflows and rules that could be executed by a computer pro- gram. In this paper, we explore an alternative data cu- ration strategy, which is based on crowdsourcing." . . . . "2019-11-10T12:34:11+01:00"^^ . .