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Instance-based ontological knowledge acquisition
Published on Jul 08, 20133428 Views
The Linked Open Data (LOD) cloud contains tremendous amounts of interlinked instances, from where we can retrieve abundant knowledge. However, because of the heterogeneous and big ontologies, it is ti
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Chapter list
Instance-Based Ontological Knowledge Acquisition00:00
Outline00:18
Introduction00:56
Motivation01:15
Related Work02:17
Semi-automatic Ontology Integration Framework - 102:43
Graph-based Ontology Integration03:07
Step 1: Graph Pattern Extraction03:46
Step 2: Predicate, Object Collection04:13
Step 3: Related Classes and Properties Grouping - 104:33
Step 3: Related Classes and Properties Grouping - 205:09
Step 4: Aggregation of All Graph Patterns06:10
Step 5: Manual Revision06:40
Semi-automatic Ontology Integration Framework - 206:49
Machine-Learning-Based Ontology Schema Extraction07:05
Decision Table - 107:46
Apriori - 108:21
Semi-automatic Ontology Integration Framework - 308:46
Ontology Merger08:57
Experiments09:31
Data Sets09:44
Data Sets - Machine Learning10:00
Graph-Based Ontology Integration10:57
Evaluation of Machine Learning Approaches11:16
Decision Table - 211:48
Apriori - 212:54
Comparison of Integrated Ontology14:00
Case Studies I14:47
Case Studies III16:19
Conclusion and Future Work17:22
Thank you18:35
Case Studies II20:13