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Conference Papers Year : 2020

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

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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Dates and versions

hal-02921434 , version 1 (25-08-2020)

Identifiers

  • HAL Id : hal-02921434 , version 1

Cite

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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