• Data Quality Barriers for Transparency in Public Procurement 

      Soylu, Ahmet; Corcho, Oscar; Elvesæter, Brian; Badenes-Olmedo, Carlos; Yedro Martínez, Francisco; Kovavic, Matej; Posinkovic, Matej; Medvescek, Mitja; Makgill, Ian; Taggart, Chris; Simperl, Elena; Lech, Till Christopher; Roman, Dumitru (Information; Volume 13, Issue 2, Peer reviewed; Journal article, 2022-02-20)
      Governments need to be accountable and transparent for their public spending decisions in order to prevent losses through fraud and corruption as well as to build healthy and sustainable economies. Open data act as a major ...
    • Enriching context descriptions for enhanced LA scalability: a case study 

      Samuelsen, Jeanette; Chen, Weiqin; Wasson, Barbara (Research and Practice in Technology Enhanced Learning (RPTL);16, Article number: 6 (2021), Peer reviewed; Journal article, 2021-03-29)
      Learning analytics (LA) is a field that examines data about learners and their context, for understanding and optimizing learning and the environments in which it occurs. Integration of multiple data sources, an important ...
    • A graph-based approach for representing, integrating and analysing neuroscience data: the case of the murine basal ganglia 

      Parnas Gulnes, Maren; Soylu, Ahmet; Roman, Dumitru (Data Technologies and Applications;, Peer reviewed; Journal article, 2021-11-01)
      Purpose: Neuroscience data is spread across a variety of sources, typically provisioned through ad-hoc and non-standard approaches and formats, and often has no connection to the related data sources. These make it difficult ...
    • Integrating multiple data sources for learning analytics—review of literature 

      Samuelsen, Jeanette; Chen, Weiqin; Wasson, Barbara (Research and Practice in Technology Enhanced Learning;14, Article number: 11 (2019), Journal article; Peer reviewed, 2019-07-26)
      Learning analytics (LA) promises understanding and optimization of learning and learning environments. To enable richer insights regarding questions related to learning and education, LA solutions should be able to integrate ...
    • Integrating multiple data sources for learning analytics—review of literature 

      Samuelsen, Jeanette; Chen, Weiqin; Lillehaug, Barbara Wasson (Research and Practice in Technology Enhanced Learning (RPTL);14, Article number: 11 (2019), Journal article; Peer reviewed, 2019-08-28)
      Learning analytics (LA) promises understanding and optimization of learning and learning environments. To enable richer insights regarding questions related to learning and education, LA solutions should be able to integrate ...
    • SemML: Facilitating development of ML models for condition monitoring with semantics 

      Zhou, Baifan; Svetashova, Yulia; Silva Gusmao, Andre; Soylu, Ahmet; Cheng, Gong; Miku, Ralf; Waaler, Arild Torolv Søetorp; Kharlamov, Evgeny (Journal of Web Semantics;Volume 71, November 2021, 100664, Peer reviewed; Journal article, 2021-10-22)
      Monitoring of the state, performance, quality of operations and other parameters of equipment and production processes, which is typically referred to as condition monitoring, is an important common practice in many ...