Extending functional dependency to detect abnormal data in rdf graphs

Published on 2011-11-252792 Views

Yang Yu

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

Research Track

Related categories

RDF - Resource Description Framework

Presentation

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