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Extending functional dependency to detect abnormal data in rdf graphs
Published on Nov 25, 20112786 Views
Data quality issues arise in the Semantic Web because data is created by diverse people and/or automated tools. In particular, erroneous triples may occur due to factual errors in the original data
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Chapter list
Extending Functional Dependency to Detect Abnormal Data in RDF Graphs00:00
Outline00:08
Motivation00:30
Challenges05:21
Functional Dependency in DB06:03
VGFD Definitions - 108:17
VGFD Definitions - 208:27
VGFD Definitions - 308:37
VGFD Definitions - 408:48
VGFD Definitions - 509:09
VGFD Definitions - 609:40
Handling Multi-valued Property - 110:20
Handling Multi-valued Property - 210:36
Handling Multi-valued Property - 310:56
Handling Multi-valued Property - 411:13
Handling Multi-valued Property - 511:28
Static Pruning Heuristics11:57
Level-wise Discovering Process - 114:57
Level-wise Discovering Process - 215:40
Level-wise Discovering Process - 315:51
Level-wise Discovering Process - 415:59
Runtime Pruning16:19
Clustering - 117:24
Clustering - 218:24
Experimental Results - 118:57
Experimental Results - 219:36
Conclusion and Future Work20:13
Thank you21:14