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Linked Biomedical Dataspace: Lessons Learned integrating Data for Drug Discovery
Published on Dec 19, 20141896 Views
The increase in the volume and heterogeneity of biomedical data sources has motivated researchers to embrace Linked Data (LD) technologies to solve the ensuing integration challenges and enhance infor
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Chapter list
Linked Biomedical Dataspace: Lessons Learned integrating Data for Drug Discovery00:00
Motivation00:14
Linked Biomedical DataSpace01:04
Scheme - 102:42
Scheme - 203:07
Link Creation Component - 103:10
Link Creation Component - 203:35
Query Execution Component03:41
Knowledge Publishing Component ReVeaLD - 105:21
Knowledge Publishing Component ReVeaLD - 207:08
Questions to Consider07:19
Questions to Consider (cont…)08:40
Workflows09:14
Retrieving molecules, which interact with Estrogen receptors09:38
Evolution and Evaluation10:10
Lesson Learned10:59
Lesson Learned (cont…) - 112:23
Lesson Learned (cont…) - 212:25
Lesson Learned (cont…) - 312:44
Lesson Learned (cont…) - 413:16
Lesson Learned (cont…) - 513:59
Lesson Learned (cont…) - 614:17
Lesson Learned (cont…) - 714:32
Lesson Learned (cont…) - 815:02
Lesson Learned (cont…) - 915:19
Lesson Learned (cont…) - 1015:27
Lesson Learned (cont…) - 1115:29
Lesson Learned (cont…) - 1215:33
Recommendations15:40
Recommendations (cont….)16:06
Acknowledgements16:22
Thank you!16:37