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Obi-Wan: Ontology-Based RDF Integration of Heterogeneous Data

Maxime Buron 1, 2 François Goasdoué 3 Ioana Manolescu 1, 2 Marie-Laure Mugnier 4
1 CEDAR - Rich Data Analytics at Cloud Scale
LIX - Laboratoire d'informatique de l'École polytechnique [Palaiseau], Inria Saclay - Ile de France
3 SHAMAN - A Symbolic and Human-centric view of dAta MANagement
IRISA-D7 - GESTION DES DONNÉES ET DE LA CONNAISSANCE
4 GRAPHIK - Graphs for Inferences on Knowledge
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier, CRISAM - Inria Sophia Antipolis - Méditerranée
Abstract : The proliferation of digital data sources in many domains brings a new urgency to the need for tools which allow to flexibly query heterogeneous data (relational, JSON, key-values, graphs etc.) Traditional data integration systems fall into two classes: data ware-housing, 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 [6]. This makes it more flexible and powerful than comparable systems.
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https://hal.inria.fr/hal-02921434
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Submitted on : Tuesday, August 25, 2020 - 11:02:14 AM
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Maxime Buron, François Goasdoué, Ioana Manolescu, Marie-Laure Mugnier. Obi-Wan: Ontology-Based RDF Integration of Heterogeneous Data. VLDB 2020 - 46th International Conference on Very Large Data Bases, Aug 2020, Tokyo, Japan. ⟨hal-02921434⟩

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