English version
Ahmet Soylu

Ahmet Soylu

Kort om

Jeg er professor i informatikk og leder for gruppen for innovasjon, digital transformasjon og bærekraft. Tidligere var jeg seniorforsker ved SINTEF Digital, senioringeniør ved DNV GL, postdoktor ved Universitetet i Oslo (UiO) og besøksforsker ved University of Oxford. Jeg fikk min doktorgrad i informatikk i 2012 fra University of Leuven. Mine hovedforskningsinteresser faller inn i ontologi-drevne informasjonssystemer og ontologi-drevne design av informasjonssystemer fra et menneske-datamaskin-interaksjonsperspektiv. Mine nylige forskningsaktiviteter er knyttet til digital transformasjon, dataintegrasjon, og dataforvaltning for industrielle og åpne data ved hjelp av teknologier og prinsipper for Semantic Web og Linked Data.

Vitenskapelige publikasjoner

Khan, Akif Quddus; Nikolov, Nikolay; Matskin, Minhail; Prodan, Radu; Roman, Dumitru; Sahin, Bekir; Bussler, Christoph; Soylu, Ahmet (2023). Smart Data Placement Using Storage-as-a-Service Model for Big Data Pipelines. Sensors . Vol. 23.
https://www.mdpi.com/1424-8220/23/2/564

Roman, Dumitru; Pultier, Antoine; Ma, Xiang; Soylu, Ahmet; Ulyashin, Alexander (2022). Data quality issues in solar panels installations: a case study. Nguyen, Phu Hong; Magnanini, Maria Chiara; Sen, Sagar (Red.). Proceedings of the 2nd International Workshop on Software Engineering and AI for Data Quality in Cyber-Physical Systems/Internet of Things (SEA4DQ 2022). Short paper. s. 24-25. Association for Computing Machinery (ACM).

Zheng, Zhuoxun; Zhou, Baifan; Zhou, Dongzhuoran; Soylu, Ahmet; Kharlamov, Evgeny (2022). Executable Knowledge Graph for Transparent Machine Learning in Welding Monitoring at Bosch. Al Hasan, Mohammad; Xiong, Li (Red.). Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022. Research article. s. 5102-5103. Association for Computing Machinery (ACM).

Zhou, Dongzhuoran; Zhou, Baifan; Zheng, Zhuoxun; Soylu, Ahmet; Savkovic, Ognjen; Kostylev, Egor V.; Kharlamov, Evgeny (2022). ScheRe: Schema Reshaping for Enhancing Knowledge Graph Construction. Al Hasan, Mohammad; Xiong, Li (Red.). Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022. Research article. s. 5074-5078. Association for Computing Machinery (ACM).

Zhuoxun, Zheng; Zhou, Baifan; Zhou, Dongzhuoran; Soylu, Ahmet; Kharlamov, Evgeny (2022). ExeKG: Executable Knowledge Graph System for User-friendly Data Analytics. Al Hasan, Mohammad; Xiong, Li (Red.). Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022. Research article. s. 5064-5068. Association for Computing Machinery (ACM).

Lin, Tengteng; Chen, Qiaosheng; Cheng, Gong; Soylu, Ahmet; Ell, Basil; Zhao, Ruoqi; Shi, Qing; Wang, Xiaxia; Gu, Yu; Kharlamov, Evgeny (2022). ACORDAR: A Test Collection for Ad Hoc Content-Based (RDF) Dataset Retrieval. Amigó, Enrique; Castells, Pablo; Gonzalo, Julio; Carterette, Ben; Culpepper, J. Shane; Kazai, Gabriella (Red.). SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11 - 15, 2022. Research article. s. 2981-2991. Association for Computing Machinery (ACM).

Roman, Dumitru; Prodan, Radu; Nikolov, Nikolay; Soylu, Ahmet; Matskin, Mihhail; Marrella, Andrea; Kimovski, Dragi; Elvesæter, Brian; Simonet-Boulogne, Anthony; Ledakis, Giannis; Song, Hui; Leotta, Francesco; Kharlamov, Evgeny (2022). Big Data Pipelines on the Computing Continuum: Tapping the Dark Data. Computer . Vol. 55.

Gurcan, Fatih; Dalveren, Gonca Gokce Menekse; Cagiltay, Nergiz Ercil; Roman, Dumitru; Soylu, Ahmet (2022). Evolution of Software Testing Strategies and Trends: Semantic Content Analysis of Software Research Corpus of the Last 40 Years. IEEE Access . Vol. 10.
https://hdl.handle.net/11250/3044013

Thomas, Aleena; Nikolov, Nikolay; Pultier, Antoine; Roman, Dumitru; Elvesæter, Brian; Soylu, Ahmet (2022). SIM-PIPE DryRunner: An approach for testing container-based big data pipelines and generating simulation data. Computer Software and Applications Conference .
https://github.com/DataCloud-project/SIM-PIPE

Zheng, Zhuoxun; Zhou, Baifan; Zhou, Dongzhuoran; Cheng, Gong; Jimenez-Ruiz, Ernesto; Soylu, Ahmet; Kharlamov, Evgeny (2022). Query-Based Industrial Analytics over Knowledge Graphs with Ontology Reshaping. Lecture Notes in Computer Science (LNCS) . Vol. 13384.
http://hdl.handle.net/10852/95028





Publikasjonslisten er hentet ut av Cristin. Listen kan være ufullstendig