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An Empirical Study of Vocabulary Relatedness and Its application to Recommender Systems
Published on Nov 25, 20112796 Views
When thousands of vocabularies having been published on the SemanticWeb by various authorities, a question arises as to how they are related to each other. Existing work has mainly analyzed their simi
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Chapter list
An Empirical Study of Vocabulary Relatedness and Its Application to Recommender Systems00:00
Measuring term similarity00:39
Measuring vocabulary similarity01:00
Measuring vocabulary relatedness01:22
Contributions02:21
Outline - 103:51
Data set statistics04:21
Data set distributions - 105:25
Data set distributions - 206:15
Outline - 206:36
Vocabulary relatedness - 106:44
Measure 1: explicit semantic relatedness07:11
Measure 2: implicit semantic relatedness08:49
Measure 3: hybrid semantic relatedness10:00
Empirical analysis - 110:31
Empirical analysis - 212:08
Measure 4: content similarity13:02
Empirical analysis - 314:04
Measure 5: expressivity closeness15:28
Empirical analysis - 416:33
Measure 6: distributional relatedness18:22
Empirical analysis - 520:18
Empirical analysis - 620:42
Vocabulary relatedness - 221:11
Agreement between measures21:14
Outline - 321:59
Relatedness-based ranking22:11
Popularity-based re-ranking22:36
Evaluation settings22:51
Gold standard22:56
Evaluation results - individual measures22:59
Evaluation results - combinations of measures23:45
Relatedness vs. popularity24:04
Outline - 424:34
Conclusions24:36
Take away24:57