• 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 ...
    • Ontology-based end-user visual query formulation: Why, what, who, how, and which? 

      Soylu, Ahmet; Giese, Martin; Jiménez-Ruiz, Ernesto; Kharlamov, Evgeny; Zheleznyakov, Dmitriy; Horrocks, Ian (Journal article; Peer reviewed, 2016)
      Value creation in an organisation is a time-sensitive and data-intensive process, yet it is often delayed and bounded by the reliance on IT experts extracting data for domain experts. Hence, there is a need for providing ...
    • 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 ...
    • 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 ...
    • PepeSearch: Semantic Data for the Masses 

      Vega-Gorgojo, Guillermo; Giese, Martin; Heggestøyl, Simen; Soylu, Ahmet; Waaler, Arild (Journal article; Peer reviewed, 2016)
      With the emergence of the Web of Data, there is a need of tools for searching and exploring the growing amount of semantic data. Unfortunately, such tools are scarce and typically require knowledge of SPARQL/RDF. We propose ...
    • 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 ...
    • Semantic access to streaming and static data at Siemens 

      Kharlamov, Evgeny; Mailis, Theofilos; Mehdi, Gulnar; Neuenstadt, Christian; Özçep, Özgür Lütfü; Roshchin, Mikhail; Solomakhina, Nina; Soylu, Ahmet; Svingos, Christoforos; Brandt, Sebastian; Giese, Martin; Ioannidis, Yannis; Lamparter, Steffen; Möller, Ralf; Kotidis, Yannis; Waaler, Arild (Journal article, 2017)
      We present a description and analysis of the data access challenge in Siemens Energy. We advocate Ontology Based Data Access (OBDA) as a suitable Semantic Web driven technology to address the challenge. We derive requirements ...
    • 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 (Peer reviewed; Journal article, 2021)
      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 ...
    • Smart Data Placement for Big Data Pipelines with Storage-as-a-Service Integration 

      Khan, Akif Quddus (Master thesis, 2022)
      Big data pipelines are developed to process big data and turn it into useful information. They are designed to support one or more of the three big data features commonly known as the three Vs (Volume, Velocity, and Variety). ...
    • 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 (Journal article; Peer reviewed, 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, ...
    • A Taxonomy for Cloud Storage Cost 

      Khan, Akif Quddus; Nikolov, Nikolay Vladimirov; Matskin, Mihhail; Prodan, Radu; Bussler, Christoph; Roman, Dumitru; Soylu, Ahmet (Peer reviewed; Journal article, 2023)
      The cost of using cloud storage services is complex and often an unclear structure, while it is one of the important factors for organisations adopting cloud storage. Furthermore, organisations take advantage of multi-cloud ...
    • Towards Cloud Storage Tier Optimization with Rule-Based Classification 

      Khan, Akif Quddus; Nikolov, Nikolay Vladimirov; Matskin, Mihhail; Prodan, Radu; Bussler, Christoph; Roman, Dumitru; Soylu, Ahmet (Peer reviewed; Journal article, 2023)
      Cloud storage adoption has increased over the years as more and more data has been produced with particularly high demand for fast processing and low latency. To meet the users’ demands and to provide a cost-effective ...
    • Towards Graph-based Cloud Cost Modelling and Optimisation 

      Khan, Akif Quddus; Nikolov, Nikolay Vladimirov; Matskin, Mihhail; Prodan, Radu; Bussler, Christoph; Roman, Dumitru; Soylu, Ahmet (Chapter, 2023)
      Cloud computing has become an increasingly popular choice for businesses and individuals due to its flexibility, scalability, and convenience; however, the rising cost of cloud resources has become a significant concern ...
    • 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 ...
    • 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 (Journal article; Peer reviewed, 2022)