Chapter

The Semantic Web - ISWC 2015

Volume 9367 of the series Lecture Notes in Computer Science pp 93-112

Date:

Ontology Based Access to Exploration Data at Statoil

  • Evgeny KharlamovAffiliated withUniversity of Oxford Email author 
  • , Dag HovlandAffiliated withUniversity of Oslo
  • , Ernesto Jiménez-RuizAffiliated withUniversity of Oxford
  • , Davide LantiAffiliated withFree University of Bozen-Bolzano
  • , Hallstein LieAffiliated withStatoil ASA
  • , Christoph PinkelAffiliated withfluid Operations AG
  • , Martin RezkAffiliated withFree University of Bozen-Bolzano
  • , Martin G. SkjævelandAffiliated withUniversity of Oslo
  • , Evgenij ThorstensenAffiliated withUniversity of Oslo
    • , Guohui XiaoAffiliated withFree University of Bozen-Bolzano
    • , Dmitriy ZheleznyakovAffiliated withUniversity of Oxford
    • , Ian HorrocksAffiliated withUniversity of Oxford

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Abstract

Ontology Based Data Access (OBDA) is a prominent approach to query databases which uses an ontology to expose data in a conceptually clear manner by abstracting away from the technical schema-level details of the underlying data. The ontology is ‘connected’ to the data via mappings that allow to automatically translate queries posed over the ontology into data-level queries that can be executed by the underlying database management system. Despite a lot of attention from the research community, there are still few instances of real world industrial use of OBDA systems. In this work we present data access challenges in the data-intensive petroleum company Statoil and our experience in addressing these challenges with OBDA technology. In particular, we have developed a deployment module to create ontologies and mappings from relational databases in a semi-automatic fashion, and a query processing module to perform and optimise the process of translating ontological queries into data queries and their execution. Our modules have been successfully deployed and evaluated for an OBDA solution in Statoil.