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Cost-Driven Ontology-Based Data Access
Published on Nov 28, 2017923 Views
SPARQL query answering in ontology-based data access (OBDA) is carried out by translating into SQL queries over the data source. Standard translation techniques try to transform the user query into a
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Chapter list
Cost-driven OBDA00:00
An OBDA Scenario (Semantic Web View)00:06
Query Evaluation Process00:30
The Performance Problem01:04
Unfolding and Structural Optimizations01:48
Unfolding and Structural Optimizations - 102:33
Unfolding and Structural Optimizations - 203:13
Trade-off Redundancy/Indexing04:00
Key Ideas05:16
Aspects to Consider05:59
Collecting Statistics (for Properties)06:47
Cardinality Estimation07:52
Cost Model08:48
Empirical Evaluation09:31
Wisconsin Experiment10:26
Analysis of the Trade-Off Redundancy/Indexing10:48
Cost11:34
Evaluation of PostgreSQL Cardinality Estimation (UCQs)12:00
Evaluation of PostgreSQL Cardinality Estimation (JUCQs)13:18
NPD Benchmark Experiment13:22
Conclusion and Future Work14:00
References15:19