I am a full professor of computer science at OsloMet – Oslo Metropolitan University since 2020 and an associate professor at Norwegian University of Science and Technology (NTNU) since 2014. I was previously a senior scientist at SINTEF Digital, a senior engineer at DNV GL, a postdoctoral research fellow at University of Oslo, and a visiting researcher at University of Oxford. I received my PhD degree in computer science in 2012 from University of Leuven.
My main research interests fall into ontology-driven information systems and ontology-driven design of information systems from a human-computer interaction perspective. My recent research activities are related to data integration, management, and access for industrial and open data using the Semantic Web and Linked Data technologies and principles. My research interests span: end-user development, the Semantic Web, knowledge representation, digitalisation, and Big Data. I have taken part in several large EU projects (Horizon 2020, FP7, FP6, Erasmus etc.) such as TheyBuyForYou, Optique, iCamp, ROLE, LEGIS, LEFIS, and TREE. I was the technical manager for TheyBuyForYou project. I currently sit on the editorial boards of Journal of Web Semantics and Data Technologies and Applications and organised several conferences including DeclarativeAI 2020 (RuleML 2020, Reasoning Web School 2020, and DecisionCAMP 2020).
Below you will find some references to my recent work:
Soylu, Ahmet et al. (2020): Enhancing Public Procurement in the European Union through Constructing and Exploiting an Integrated Knowledge Graph. In: Proceedings of the 19th International Semantic Web Conference (ISWC 2020), volume 12507 of LNCS, pp. 430–446, Springer, 2020. Doi: https://doi.org/10.1007/978-3-030-62466-8_27
Klungre, Vidar N. et al. (2019): Query Extension Suggestions for Visual Query Systems Through Ontology Projection and Indexing. In: New Generation Computing, 37(4), pp 361-392. Doi: https://doi.org/10.1007/s00354-019-00071-1
Soylu, Ahmet et al. (2018). OptiqueVQS: a Visual Query System over Ontologies for Industry. In: Semantic Web Journal, 9(5), pp. 627-660. Doi: https://doi.org/10.3233/SW-180293
Soylu, Ahmet et al. (2017): Querying Industrial Stream-Temporal Data: an Ontology-based Visual Approach. In: Journal of Ambient Intelligence and Smart Environments, 9(1), pp. 77-95. Doi: https://doi.org/10.3233/AIS-160415