• Finding Data Should be Easier than Finding Oil 

      Kharlamov, Evgeny; Skjæveland, Martin G; Hovland, Dag; Mailis, Theofilos; Jimenez-Ruiz, Ernesto; Xiao, Guohui; Soylu, Ahmet; Horrocks, Ian; Waaler, Arild (Chapter, 2018)
      The 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 ...
    • Finding Data Should be Easier than Finding Oil 

      Kharlamov, Evgeny; Skjæveland, Martin G; Mailis, Theofilos; Jimenez-Ruiz, Ernesto; Xiao, Guohui; Soylu, Ahmet; Lie, Hallstein; Waaler, Arild (Journal article; Peer reviewed, 2018)
      The 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 ...
    • Making Complex Ontologies End User Accessible via Ontology Projections 

      Soylu, Ahmet; Kharlamov, Evgeny (Journal article; Peer reviewed, 2018)
      Ontologies are a powerful mechanism to structure domains of interest. They have successfully been applied in medical domain, industry and other important areas. Despite the simplicity of ontological vocabularies that consist ...
    • Navigating OWL 2 Ontologies through Graph Projection 

      Soylu, Ahmet; Kharlamov, Evgeny (Journal article; Peer reviewed, 2018)
      Ontologies are powerful, yet often complex, assets for rep- resenting, exchanging, and reasoning over data. Particularly, OWL 2 ontologies have been key for constructing semantic knowledge graphs. Ability to navigate ...
    • On Enhancing Visual Query Building over KGs Using Query Logs 

      Klungre, Vidar Norstein; Soylu, Ahmet; Giese, Martin; Waaler, Arild; Kharlamov, Evgeny (Journal article; Peer reviewed, 2018)
      Knowledge Graphs have recently gained a lot of attention and have been successfully applied in both academia and industry. Since KGs may be very large: they may contain millions of entities and triples relating them to ...
    • 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; Jiménez-Ruiz, Ernesto; Kharlamov, Evgeny; Zheleznyakov, Dmitriy; Horrocks, Ian (Journal article; Peer reviewed, 2016)
      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 ...
    • Query Extension Suggestions for Visual Query Systems Through Ontology Projection and Indexing 

      Klungre, Vidar Norstein; Soylu, Ahmet; Jimenez-Ruiz, Ernesto; Kharlamov, Evgeny; Giese, Martin (Journal article; Peer reviewed, 2019)
      Ontology-based visual query formulation is a viable alternative to textual query editors in the Semantic Web domain for extracting data from structured data sources in terms of the skills and knowledge required. A visual ...
    • 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 ...
    • Semantic access to streaming and static data at Siemens 

      Kharlamov, Evgeny; Mailis, Theofilos; Mehdi, Gulnar; Neuenstadt, Christian; Özçep, Özgür Lütfü; Roshchin, Mikhail; Solomakhina, Nina; Soylu, Ahmet; Svingos, Christoforos; Brandt, Sebastian; Giese, Martin; Ioannidis, Yannis; Lamparter, Steffen; Möller, Ralf; Kotidis, Yannis; Waaler, Arild (Journal article, 2017)
      We present a description and analysis of the data access challenge in Siemens Energy. We advocate Ontology Based Data Access (OBDA) as a suitable Semantic Web driven technology to address the challenge. We derive requirements ...