• Experiencing OptiqueVQS: A Multi-paradigm and Ontology-based Visual Query System for End Users 

      Soylu, Ahmet; Giese, Martin; Jimenez-Ruiz, Ernesto; Vega, Gorgojo Guillermo; Horrocks, Ian (Journal article; Peer reviewed, 2015-04-02)
      Data access in an enterprise setting is a determining factor for value creation processes, such as sense-making, decision-making, and intelligence analysis. Particularly, in an enterprise setting, intuitive data access ...
    • Ontology Based Data Access in Statoil 

      Kharlamov, Evgeny; Hovland, Dag; Skjæveland, Martin G; Bilidas, Dimitris; Jimenez-Ruiz, Ernesto; Xiao, Guohui; Soylu, Ahmet; Lanti, Davide; Rezk, Martin; Zheleznyakov, Dmitriy; Giese, Martin; Lie, Hallstein; Ioannidis, Yannis; Kotidis, Yannis; Koubarakis, Manolis; Waaler, Arild Torolv Søetorp (Journal article, 2017)
      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 ...
    • Ontology-based end-user visual query formulation: Why, what, who, how, and which? 

      Soylu, Ahmet; Giese, Martin; Jimenez-Ruiz, Ernesto; Kharlamov, Evgeny; Zheleznyakov, Dmitriy; Horrocks, Ian (Journal article; Peer reviewed, 2017)
      Value creation in an organisation is a time-sensitive and data-intensive process, yet it is often delayed and bounded by the reliance on IT experts extracting data for domain experts. Hence, there is a need for providing ...
    • OptiqueVQS: a Visual Query System over Ontologies for Industry 

      Soylu, Ahmet; Kharlamov, Evgeny; Zheleznyakov, Dmitriy; Jimenez-Ruiz, Ernesto; Giese, Martin; Skjæveland, Martin G; Hovland, Dag; Schlatte, Rudolf; Brandt, Sebastian; Lie, Hallstein; Horrocks, Ian (Journal article; Peer reviewed, 2017)
      An important application of semantic technologies in industry has been the formalisation of information models using OWL~2 ontologies and the use of RDF for storing and exchanging application data. Moreover, legacy data ...
    • Querying industrial stream-temporal data: An ontology-based visual approach 

      Soylu, Ahmet; Giese, Martin; Schlatte, Rudolf; Jimenez-Ruiz, Ernesto; Kharlamov, Evgeny; Özçep, Özgür; Neuenstadt, Christian; Brandt, Sebastian (Journal article; Peer reviewed, 2017)
      An increasing number of sensors are being deployed in business-critical environments, systems, and equipment; and stream a vast amount of data. The operational efficiency and effectiveness of business processes rely on ...