Blar i NTNU Open på forfatter "Soylu, Ahmet"
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An Analysis of Data Production Based on the Consistency of Decision Matrices
Sahin, Bekir; Yazidi, Anis; Roman, Dumitru; Uddin, Md Zia; Soylu, Ahmet (Peer reviewed; Journal article, 2021)Multi-criteria decision making methods are used to solve numerous problems related to several disciplines such as engineering, management and business. Consistency of a decision making application is of crucial importance ... -
An Application of a Fuzzy TOPSIS Multi-Criteria Decision Analysis Algorithm for Dry Bulk Carrier Selection
Sahin, Bekir; Soylu, Ahmet (Peer reviewed; Journal article, 2020)Decision-making in ship investment is a complex and difficult process with trade-offs. The purpose of this study is to guide the decisions on the purchase of dry bulk carriers based on a Fuzzy Technique for Order Preference ... -
Big data workflows: Locality-aware orchestration using software containers
Corodescu, Andrei-Alin; Nikolov, Nikolay; Khan, Akif Quddus; Soylu, Ahmet; Matskin, Mihhail; Payberah, Amir H.; Roman, Dumitru (Journal article; Peer reviewed, 2021)The emergence of the Edge computing paradigm has shifted data processing from centralised infrastructures to heterogeneous and geographically distributed infrastructures. Therefore, data processing solutions must consider ... -
Chrontext: Portable SPARQL queries over contextualised time series data in industrial settings
Bakken, Magnus; Soylu, Ahmet (Journal article; Peer reviewed, 2023)Industrial information models are standardised ways of representing industrial devices, equipment, and processes together with the data collected from associated sensors and control systems. Companies invest in such models ... -
Conceptualization and scalable execution of big data workflows using domain-specific languages and software containers
Nikolov, Nikolay; Dessalk, Yared Dejene; Khan, Akif Quddus; Soylu, Ahmet; Matskin, Mihhail; Payberah, Amir; Roman, Dumitru (Journal article; Peer reviewed, 2021)Big Data processing, especially with the increasing proliferation of Internet of Things (IoT) technologies and convergence of IoT, edge and cloud computing technologies, involves handling massive and complex data sets on ... -
The Data Value Quest: A Holistic Semantic Approach at Bosch
Zhou, Baifan; Zheng, Zhuoxun; Zhou, Dongzhuoran; Cheng, Gong; Jimenez-Ruiz, Ernesto; Trung-Kien, Tran; Stepanova, Daria; Gad-Elrab, Mohamed H.; Nikolov, Nikolay; Soylu, Ahmet; Kharlamov, Evgeny (Journal article; Peer reviewed, 2022)Modern industry witnesses a fast growth in volume and complexity of heterogeneous manufacturing (big) data [1, 2] thanks to the technological advances of Industry 4.0 [1, 3], including development in perception, communication, ... -
Detecting Latent Topics and Trends in Software Engineering Research Since 1980 Using Probabilistic Topic Modeling
Fatih, Gurcan; Gonca Gokce Menekse, Dalveren; Nergiz, Ercil Cagiltay; Soylu, Ahmet (Peer reviewed; Journal article, 2022)The landscape of software engineering research has changed significantly from one year to the next in line with industrial needs and trends. Therefore, today’s research literature on software engineering has a rich and ... -
Development and Evaluation of an Industrial Condition Monitoring System based on Semantic Technologies and Machine Learning
Gusmao, Andre Silva (Master thesis, 2022)Ensuring the quality of industrial processes product and keeping the cost involved low is highly valuable and desirable among various companies. The quality of a product can be affected by different factors in the production ... -
Evolution of Software Testing Strategies and Trends: Semantic Content Analysis of Software Research Corpus of the Last 40 Years
Gurcan, Fatih; Dalveren, Gonca Gokce Menekse; Cagiltay, Nergiz Ercil; Roman, Dumitru; Soylu, Ahmet (Peer reviewed; Journal article, 2022)From the early days of computer systems to the present, software testing has been considered as a crucial process that directly affects the quality and reliability of software-oriented products and services. Accordingly, ... -
Experiencing OptiqueVQS: A Multi-paradigm and Ontology-based Visual Query System for End Users
Soylu, Ahmet; Giese, Martin; Jimenez-Ruiz, Ernesto; Vega, Gorgojo Guillermo; Horrocks, Ian (Journal article; Peer reviewed, 2015-04-02)Data access in an enterprise setting is a determining factor for value creation processes, such as sense-making, decision-making, and intelligence analysis. Particularly, in an enterprise setting, intuitive data access ... -
Finding Data Should be Easier than Finding Oil
Kharlamov, Evgeny; Skjæveland, Martin G; Hovland, Dag; Mailis, Theofilos; Jimenez-Ruiz, Ernesto; Xiao, Guohui; Soylu, Ahmet; Horrocks, Ian; Waaler, Arild (Chapter, 2018)The competitiveness of modern enterprises heavily depends on their ability to make the right business decisions by relying on efficient and timely analysis of the right business critical data. In large and data intensive ... -
Finding Data Should be Easier than Finding Oil
Kharlamov, Evgeny; Skjæveland, Martin G; Mailis, Theofilos; Jimenez-Ruiz, Ernesto; Xiao, Guohui; Soylu, Ahmet; Lie, Hallstein; Waaler, Arild (Journal article; Peer reviewed, 2018)The competitiveness of modern enterprises heavily depends on their ability to make the right business decisions by relying on efficient and timely analysis of the right business critical data. In large and data intensive ... -
Human activity recognition using wearable sensors, discriminant analysis, and long short-term memory-based neural structured learning
Uddin, Md Zia; Soylu, Ahmet (Journal article; Peer reviewed, 2021)Healthcare using body sensor data has been getting huge research attentions by a wide range of researchers because of its good practical applications such as smart health care systems. For instance, smart wearable sensor-based ... -
Impact of improved anonymity on the storytelling experience
Safaev, Utkurbek Bakhtiyor Ugli (Master thesis, 2022)The aim of this research was to establish the role anonymity plays in influencing the likelihood of creators of stories to share accurate stories and the likelihood of people to believe the shared stories. The background ... -
Locality-Aware Workflow Orchestration for Big Data
Corodescu, Andrei-Alin; Nikolov, Nikolay; Khan, Akif Quddus; Soylu, Ahmet; Matskin, Mihhail; Payberah, Amir; Roman, Dumitru (Chapter, 2021)The development of the Edge computing paradigm shifts data processing from centralised infrastructures to heterogeneous and geographically distributed infrastructure. Such a paradigm requires data processing solutions that ... -
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 ... -
Multi-Layer, Multi-Segment Iterative Optimization for Maritime Supply Chain Operations in a Dynamic Fuzzy Environment
Sahin, Bekir; Soylu, Ahmet (Peer reviewed; Journal article, 2020)This study aims to develop a multi-layer, multi-segment iterative optimization algorithm for the operations of a single agent, which can be either a container in a distribution system, an automated guided vessel in a ... -
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 ...