slides-big-data-curation

http://dblab.cs.toronto.edu/project/BigDataCuration/docs/DIMACSWorkshop2013BigDataCuration.pdf

slides-big-data-curation#cannot-know-whether-makes-sense1 "When you've got algorithms weighing hundreds of factors over a huge data set, you can't really know why they come to a particular decision or whether it really makes sense" slides-big-data-curation#cannot-know-whether-makes-sense1

slides-big-data-curation#understand-and-correct1"People must be able to correct and understand curation decisions" slides-big-data-curation#understand-and-correct1

slides-big-data-curation#curation-small-datasets

Curation focus on small(ish) valuable datasets

• Leverage Big Data to add value to curated data
• Automation required not just for scale, but to manage deep complexity of curation tasks

slides-big-data-curation#curation-small-datasets

Slide #25 Similarities expressed as jaccard-index

slides-big-data-curation#provenance1

Slide #26

• Use provenance to explain results
  • "Why was this link produced?"
  • Explain the link (Beta-Thalassemia is-type-of Thalassaemia)?"

slides-big-data-curation#provenance1

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