Ontology Based Data Access in Statoil
                        
                        
                            - Submitting institution
 
                            - 
                                City, University of London
                                
 
                            
 
                            - Unit of assessment
 
                            - 11 - Computer Science and Informatics
 
                            - Output identifier
 
                            - 835
 
                            - Type
 
                            - D - Journal article
 
                                - DOI
 
                                - 
                                        10.1016/j.websem.2017.05.005
                                
 
                                - Title of journal
 
                                - Journal of Web Semantics
 
                                - Article number
 
                                - -
 
                                - First page
 
                                - 3
 
                                - Volume
 
                                - 44
 
                                - Issue
 
                                - -
 
                                - ISSN
 
                                - 1570-8268
 
                                - Open access status
 
                                - Deposit exception
 
                            - Month of publication
 
                            - July
 
                            - Year of publication
 
                            - 2017
 
                            - URL
 
                            - 
-                            
 
                            - Supplementary information
 
                            - 
-                            
 
                            - Request cross-referral to
 
                            - -
 
                            - Output has been delayed by COVID-19
 
                            - No
 
                            - COVID-19 affected output statement
 
                            - -
 
                            - Forensic science
 
                            - No
 
                            - Criminology
 
                            - No
 
                            - Interdisciplinary
 
                            - No
 
                            - Number of additional authors
 
                            - 
                                15
                            
 
                            - Research group(s)
 
                            - 
-                            
 
                                - Citation count
 
                                - 25
 
                            - Proposed double-weighted
 
                            - No
 
                            - Reserve for an output with double weighting
 
                            - No
 
                            - Additional information
 
                            - Output presents end-to-end Ontology-Based Data Access solution applied to Statoil (now Equinor) as part of EU-project Optique. As described by a prominent Professor in the area, Ian Horrocks, "this paper is by far and away the most convincing account of an enterprise-scale application of semantic technology that I ever read". This outcome from Optique led the creation of the SIRIUS Centre for Research-driven Innovation (https://sirius-labs.no/), where Equinor is one of the main partners. Early version of work appeared in ISWC-2015 (acceptance rate 25%). Work cited by main group working on Ontology Based Data Access (https://www.inf.unibz.it/krdb/in2data/) and researchers from Siemens.
 
                            - Author contribution statement
 
                            - -
 
                            - Non-English
 
                            - No
 
                            - English abstract
 
                            - -