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Crowdsourcing Linked Data Quality Assessment
Published on 2013-11-287217 Views
In this paper we look into the use of crowdsourcing as a means to handle Linked Data quality problems that are challenging to be solved automatically. We analyzed the most common errors encountered in
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Presentation
Crowdsourcing Linked Data Quality Assessment00:00
Motivation00:13
Research questions01:43
Related work02:18
Our Approach02:53
Methodology02:56
Selecting LD quality issues to crowdsource03:52
Selecting appropriate crowdsourcing approaches05:11
Presenting the data to the crowd06:46
Experimental Study08:14
Experimental design08:18
Overall results09:41
Precision results: Incorrect object task - 110:31
Precision results: Incorrect object task - 211:43
Precision results: Incorrect data type task - 111:50
Precision results: Incorrect data type task - 212:09
Precision results: Incorrect link task - 112:28
Precision results: Incorrect link task - 212:34
Precision results: Incorrect link task - 313:00
Final discussion13:50
Conclusions & Future Work - 114:41
Conclusions & Future Work - 214:42
References & Acknowledgements15:29
Questions?15:35