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Efficient Ontology-Based Data Integration with canonical IRIs
Published on Jul 10, 2018543 Views
In this paper, we study how to efficiently integrate multiple relational databases using an ontology-based approach. In ontology-based data integration (OBDI) an ontology provides a coherent view of m
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Chapter list
Efficient Ontology-Based Data Integration with Canonical IRIs00:00
Challenge: Accessing heterogeneous data00:21
Problem: Searching for data and establishing its quality01:39
Solution: Ontology-based data integration (OBDI)02:12
OBDI – Example03:05
Query answering by rewriting (conceptual framework)06:32
Problems in OBDI07:28
Integrated querying – Example08:28
Integrated querying in OBDI09:33
Canonical IRI assertions11:30
Canonical IRI and canonical graph13:22
Canonical IRI entailment regime E+can14:54
Relationship between canIriOf and sameAs17:04
Equivalence between canonical IRI and sameAs ERs18:22
Handling canonical IRI semantics by query rewriting19:00
Canonical-iri rewriting of a SPARQL query22:04
Correctness of canonical-iri rewriting23:02
Rewriting using NOT EXISTS23:25
Handling canonical IRI statements in OBDI23:59
Mapping rewriting to deal with canonical IRIs24:55
Mapping rewriting algorithm25:52
Mapping rewriting – Example26:51
Correctness of mapping rewriting27:13
Implemented in the Ontop system27:39
Results over Statoil query catalog27:49
Results over benchmark data28:26
Conclusions28:37
Thanks29:10