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Graph Kernels for RDF data

Published on Jul 04, 20124812 Views

Achim Rettinger

The increasing availability of structured data in Resource Description Framework (RDF) format poses new challenges and opportunities for data mining. Existing approaches to mining RDF have focused on

ESWC 2012 - Heraklion

Related categories

Data MiningMachine LearningKernel MethodsOWL - Web Ontology LanguageRDF - Resource Description Framework

Chapter list

Graph Kernels for RDF Data00:00
The Vision00:23
The Learning Tasks (I)00:46
The Learning Tasks (II)01:00
The Learning Tasks (III)01:18
The constraints01:52
Related work02:37
The (good old) Kernel Trick02:41
The Gap05:32
The Goal10:35
Overview11:19
Intersection Graph11:31
Instance graph11:54
Instance graph - Example12:28
Intersection Graph (1)12:39
Intersection Graph (2)12:55
Intersection Graph (3)13:35
Feature count13:52
Intersection Trees14:50
Overview15:57
Property Value Prediction16:06
Property Value Prediction Results17:04
Link Prediction17:56
Classification model18:32
Link Prediction Results19:41
Summary21:21
Future Work22:18