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dc.contributor.authorKharlamov, Evgeny
dc.contributor.authorSkjæveland, Martin G
dc.contributor.authorHovland, Dag
dc.contributor.authorMailis, Theofilos
dc.contributor.authorJimenez-Ruiz, Ernesto
dc.contributor.authorXiao, Guohui
dc.contributor.authorSoylu, Ahmet
dc.contributor.authorHorrocks, Ian
dc.contributor.authorWaaler, Arild
dc.date.accessioned2019-04-23T08:53:03Z
dc.date.available2019-04-23T08:53:03Z
dc.date.created2019-02-13T10:44:20Z
dc.date.issued2018
dc.identifier.isbn978-1-5386-5035-6
dc.identifier.urihttp://hdl.handle.net/11250/2594994
dc.description.abstractThe competitiveness of modern enterprises heavily depends on their ability to make the right business decisions by relying on efficient and timely analysis of the right business critical data. In large and data intensive companies such as Equinor, a Norwegian multinational oil and gas company with more than 20,000 employees, gathering such data is not a trivial task due to the growing size and complexity of corporate information sources. As a result, the data gathering task is often the most time-consuming part of the decision making process, in particular when it comes to the work processes of Equinor’s Exploration geologists that should find in a timely manner New exploitable accumulations of oil or gas in given areas by analysing data about these areas. In this work we present our experience in addressing this data challenge tast at Equinor. We have developed and deployed at Equinor a semantic data access system that relies on the Ontology Based Data Access (OBDA) approach. Our system is based on our solid theoretical contributions and has been extensively evaluated at Equinornb_NO
dc.language.isoengnb_NO
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)nb_NO
dc.relation.ispartof2018 IEEE International Conference on Big Data (Big Data), Seattle, 10-13 Dec. 2018
dc.titleFinding Data Should be Easier than Finding Oilnb_NO
dc.typeChapternb_NO
dc.description.versionacceptedVersionnb_NO
dc.identifier.doi10.1109/BigData.2018.8622035
dc.identifier.cristin1676834
dc.relation.projectNorges forskningsråd: 237898nb_NO
dc.relation.projectEC/H2020/780247nb_NO
dc.relation.projectEC/H2020/318338nb_NO
dc.description.localcode© 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.nb_NO
cristin.unitcode194,63,10,0
cristin.unitnameInstitutt for datateknologi og informatikk
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode1


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