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
Hauptverfasser: Buron, Maxime, Goasdoué, François, Manolescu, Ioana, Mugnier, Marie-Laure
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.
ISSN:2150-8097
2150-8097
DOI:10.14778/3415478.3415512