Blar i SINTEF Open på forfatter "Soylu, Ahmet"

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    • 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 Converting Crisp Failure Possibility into Probability for Reliability of Complex Systems 

      Sahin, Bekir; Yazidi, Anis; Roman, Dumitru; Uddin, Md Zia; Soylu, Ahmet (Peer reviewed; Journal article, 2021)
      The reliability of complex systems is analyzed based on several systematic steps using many safety engineering methods. The most common technique for safety system analysis and reliability, vulnerability and criticality ...

    • 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 Fault Tree Analysis Algorithms in a Fuzzy Environment for Autonomous Ships 

      Sahin, Bekir; Yazidi, Anis; Roman, Dumitru; Soylu, Ahmet (Peer reviewed; Journal article, 2021)
      This study deals with fault tree analysis algorithms based on an ontology-based approach in a fuzzy environment. We extend fuzzy fault tree analysis by embedding ontology-based fault tree structures. The ontology-based ...

    • An overview of the TBFY knowledge graph for public procurement 

      Soylu, Ahmet; Elvesæter, Brian; Turk, Philip; Roman, Dumitru; Corcho, Oscar; Simperl, Elena; Makgill, Ian; Taggart, Chris; Grobelnik, Marko; Lech, Till Christopher (Peer reviewed; Journal article, 2019)
      A growing amount of public procurement data is being made available in the EU for the purpose of improving the effectiveness, efficiency, transparency, and accountability of government spending. However, there is a large ...

    • SIM-PIPE DryRunner: An approach for testing container-based big data pipelines and generating simulation data 

      Thomas, Aleena; Nikolov, Nikolay; Pultier, Antoine; Roman, Dumitru; Elvesæter, Brian; Soylu, Ahmet (Peer reviewed; Journal article, 2022)
      Big data pipelines are becoming increasingly vital in a wide range of data intensive application domains such as digital healthcare, telecommunication, and manufacturing for efficiently processing data. Data pipelines in ...

    • Smart Data Placement for Big Data Pipelines: An Approach based on the Storage-as-a-Service Model 

      Khan, Akif Quddus; Nikolov, Nikolay Vladimirov; Matskin, Mihhail; Prodan, Radu; Song, Hui; Roman, Dumitru; Soylu, Ahmet (Chapter, 2022)
      The development of big data pipelines is a challenging task, especially when data storage is considered as part of the data pipelines. Local storage is expensive, hard to maintain, comes with several challenges (e.g., data ...

    • Smart Data Placement Using Storage-as-a-Service Model for Big Data Pipelines 

      Khan, Akif Quddus; Nikolov, Nikolay; Matskin, Minhail; Prodan, Radu; Roman, Dumitru; Sahin, Bekir; Bussler, Christoph; Soylu, Ahmet (Peer reviewed; Journal article, 2023)
      Big data pipelines are developed to process data characterized by one or more of the three big data features, commonly known as the three Vs (volume, velocity, and variety), through a series of steps (e.g., extract, ...

    • TheyBuyForYou platform and knowledge graph: Expanding horizons in public procurement with open linked data 

      Soylu, Ahmet; Corcho, Oscar; Elvesæter, Brian; Badenes-Olmedo, Carlos; Blount, Tom; Yedro Martínez, Francisco; Kovavic, Matej; Posinkovic, Matej; Makgill, Ian; Taggart, Chris; Simperl, Elena; Lech, Till Christopher; Roman, Dumitru (Peer reviewed; Journal article, 2022)
      Public procurement is a large market affecting almost every organisation and individual; therefore, governments need to ensure its efficiency, transparency, and accountability, while creating healthy, competitive, and ...

    • Towards a Knowledge Graph Based Platform for Public Procurement 

      Simperl, Elena; Corcho, Oscar; Grobelnik, Marko; Roman, Dumitru; Soylu, Ahmet; Ruíz, María Jesús Fernández; Gatti, Stefano; Taggart, Chris; Klima, Urška Skok; Uliana, Annie Ferrari; Makgill, Ian; Lech, Till Christopher (Journal article; Peer reviewed, 2019)
      Procurement affects virtually all sectors and organizations particularly in times of slow economic recovery and enhanced transparency. Public spending alone will soon exceed EUR 2 trillion per annum in the EU. Therefore, ...

    • Towards Cognitive Self-Management of IoT-Edge-Cloud Continuum based on User Intents 

      Song, Hui; Soylu, Ahmet; Roman, Dumitru (Chapter, 2022)
      Elasticity of the computing continuum with on demand availability allows for automated provisioning and release of computing resources as needed; however, this self management capability is severely limited due to the lack ...

    • Towards Integrating Public Procurement Data into a Semantic Knowledge Graph 

      Soylu, Ahmet; Corcho, Oscar; Simperl, Elena; Roman, Dumitru; Francisco, Yedro Martínez; Taggart, Chris; Makgill, Ian; Elvesæter, Brian; Symonds, Ben; McNally, Helen; Konstantinidis, George; Zhao, Yuchen; Lech, Till Christopher (Journal article; Peer reviewed, 2018)
      Public procurement accounts for a substantial part of the public investment and global economy. Therefore, improving effectiveness, efficiency, transparency and accountability of government procurement is of broad interest. ...

    • Towards Optimal Ship Navigation Using Image Processing 

      Sahin, Bekir; Uddin, Zia; Soylu, Ahmet (Peer reviewed; Journal article, 2020)
      Shipping transportation developed over years with the technological advancements. Modern ship navigation is conducted with the help of Automatic Radar Plotting Aid (ARPA) and Electronic Chart Display and Information System ...

    • TranSQL: A Transformer-based Model for Classifying SQL Queries 

      Tahmasebi, Shirin; Hossein Payberah, Amir; Soylu, Ahmet; Roman, Dumitru; Matskin, Mihhail (Chapter, 2022)
      Domain-Specific Languages (DSL) are becoming popular in various fields as they enable domain experts to focus on domain-specific concepts rather than software-specific ones. Many domain experts usually reuse their ...

    • TRANSQLATION: TRANsformer-based SQL RecommendATION 

      Tahmasebi, Shirin; Payberah, Amir H.; Soylu, Ahmet; Roman, Dumitru; Matskin, Mihhail (Chapter, 2023)
      The exponential growth of data production emphasizes the importance of database management systems (DBMS) for managing vast amounts of data. However, the complexity of writing Structured Query Language (SQL) queries requires ...

    • Vision transformer and explainable transfer learning models for auto detection of kidney cyst, stone and tumor from CT-radiography 

      Islam, Md Nazmul; Hasan, Mehedi; Hossain, Md Kabir; Alam, Md Golam Rabiul; Uddin, Md Zia; Soylu, Ahmet (Peer reviewed; Journal article, 2022)
      Renal failure, a public health concern, and the scarcity of nephrologists around the globe have necessitated the development of an AI-based system to auto-diagnose kidney diseases. This research deals with the three major ...