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Pattern Based Knowledge Base Enrichment
Published on Nov 28, 20133697 Views
Although an increasing number of RDF knowledge bases are published, many of those consist primarily of instance data and lack sophisticated schemata. Having such schemata allows more powerful querying
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Chapter list
Pattern Based Knowledge Base Enrichment00:00
Outline - 100:17
Table of Contents - 101:01
Motivation01:02
Example02:03
Advantages of more complex schemas02:46
Each person was only born at one place?!03:30
Example - 104:10
Example - 204:48
Table of Contents - 205:03
Basic Approach05:09
3 Steps to get a schema05:25
Starting Point06:25
Step 1 - Obtain Schema Information06:35
Step 2 - Obtain axiom type and entity speci06:53
Step 3 - Machine Learning07:16
Step 3 - Machine Learning (2)08:27
What about more complex schema axioms? - 108:54
What about more complex schema axioms? - 209:24
GALEN Ontology09:40
Pattern Based Knowledgebase Enrichment10:05
Axiom Normalisation10:57
Pattern Transformation11:44
Pattern Transformation - Example12:21
Table of Contents - 313:10
Experimental Setup - Pattern Detection13:15
Pattern Frequency Detection13:58
Fixpoint Analysis14:23
Experimental Setup - Pattern Application14:49
Manual Evaluation Results15:23
Treshold Analysis15:37
Table of Contents - 415:40
Conclusion15:41
Future Work16:03
Thank You16:16