en-es
en
0.25
0.5
0.75
1.25
1.5
1.75
2
Crowdsourcing Linked Data Quality Assessment
Published on Nov 28, 20137208 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
Related categories
Chapter list
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