en
0.25
0.5
0.75
1.25
1.5
1.75
2
A Clustering-based Approach to Ontology Alignment
Published on Nov 25, 20112953 Views
Ontology alignment is an important problem for the linked data web, as more and more ontologies and ontology instances get published for specific domains such as government and healthcare. A number of
Related categories
Chapter list
A Clustering-based Approach to Ontology Alignment00:00
Outline - 100:20
Motivation - 100:41
Motivation - 203:10
Outline - 204:06
Overview of Clustering-based Ontology Alignment (Stability Hypothesis)04:10
Overview of Clustering-based Ontology Alignment (Leveraging previous alignment results)06:17
Overview of Clustering-based Ontology Alignment (Real Examples) - 107:28
Overview of Clustering-based Ontology Alignment (Real Examples) - 208:54
Outline - 310:41
Testing the Stability Hypothesis (Partition similarity measures)10:46
Measure I: Jaccard Similarity on Entity Pairs12:10
Measure II: Partition Edit Distance14:40
Measure III: Mapping Quality16:36
Discussion on the previous measures19:52
Outline - 520:41
Experimental Evaluation of the Partitioning Stability: IFW - CBM: Ontology Evolution Scenario20:42
Experimental Evaluation of the Partitioning Stability: Large Scale Evaluation on BioPortal Ontologies - 122:03
Experimental Evaluation of the Partitioning Stability: Large Scale Evaluation on BioPortal Ontologies - 222:51
Experimental Evaluation of the Partitioning Stability: Large Scale Evaluation on BioPortal Ontologies - 323:28
Conclusion24:10
Thanks25:14