• The Data Value Quest: A Holistic Semantic Approach at Bosch 

      Zhou, Baifan; Zheng, Zhuoxun; Zhou, Dongzhuoran; Cheng, Gong; Jimenez-Ruiz, Ernesto; Trung-Kien, Tran; Stepanova, Daria; Gad-Elrab, Mohamed H.; Nikolov, Nikolay; Soylu, Ahmet; Kharlamov, Evgeny (Journal article; Peer reviewed, 2022)
      Modern industry witnesses a fast growth in volume and complexity of heterogeneous manufacturing (big) data [1, 2] thanks to the technological advances of Industry 4.0 [1, 3], including development in perception, communication, ...
    • 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 ...
    • 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 ...
    • 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 ...
    • 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 ...