Obi-Wan: ontology-based RDF integration of heterogeneous data
We consider the problem of integrating heterogeneous data (relational, JSON, key-values, graphs etc.) and querying it efficiently. Traditional data integration systems fall into two classes: data warehousing , where all data source content is materialized in a single repository, and mediation , wher...
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Veröffentlicht in: | Proceedings of the VLDB Endowment 2020-08, Vol.13 (12), p.2933-2936 |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | We consider the problem of integrating heterogeneous data (relational, JSON, key-values, graphs etc.) and querying it efficiently. Traditional data integration systems fall into two classes:
data warehousing
, where all data source content is materialized in a single repository, and
mediation
, where data remains in their original stores and all data can be queried through a
mediator.
We propose to demonstrate Obi-Wan, a novel mediator following the Ontology-Based Data access (OBDA) paradigm. Obi-Wan integrates data sources of many data models under an interface based on RDF graphs and ontologies (classes, properties, and relations between them). The novelty of Obi-Wan is to combine maximum integration power (GLAV mappings, see below) with the highest query answering power supported by an RDF mediator: RDF queries not only over the data but also over the integration ontologies. This makes it more flexible and powerful than comparable systems. |
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ISSN: | 2150-8097 2150-8097 |
DOI: | 10.14778/3415478.3415512 |