• An Analysis of Data Production Based on the Consistency of Decision Matrices 

      Sahin, Bekir; Yazidi, Anis; Roman, Dumitru; Uddin, Md Zia; Soylu, Ahmet (Lecture Notes in Networks and Systems;Volume 307, Peer reviewed; Journal article, 2021-08-24)
      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 analysis of pollution Citizen Science projects from the perspective of Data Science and Open Science 

      Roman, Dumitru; Reeves, Neal; Gonzalez, Esteban; Celino, Irene; Abd El Kader, Shady; Turk, Philip Andreas; Soylu, Ahmet; Corcho, Oscar; Cedazo, Raquel; Re Calegari, Gloria; Scandolari, Damiano; Simperl, Elena (Data Technologies and Applications;Volume 55 - Issue 5, Peer reviewed; Journal article, 2021-05-05)
      Purpose: Citizen Science – public participation in scientific projects – is becoming a global practice engaging volunteer participants, often non-scientists, with scientific research. Citizen Science is facing major ...
    • Big Data Pipelines on the Computing Continuum: Ecosystem and Use Cases Overview 

      Roman, Dumitru; Nikolov, Nikolay; Soylu, Ahmet; Elvesæter, Brian; Song, Hui; Prodan, Radu; Kimovski, Dragi; Marrella, Andrea; Leotta, Francesco; Matskin, Mihhail; Ledakis, Giannis; Theodosiou, Konstantinos; Simonet-Boulogne, Anthony; Perales, Fernando; Kharlamov, Evgeny; Ulisses, Alexandre; Solberg, Arnor; Ceccarelli, Raffaele (Proceedings of the IEEE Symposium on Computers and Communications;2021 IEEE Symposium on Computers and Communications (ISCC), Peer reviewed; Journal article, 2021-12-15)
      Organisations possess and continuously generate huge amounts of static and stream data, especially with the proliferation of Internet of Things technologies. Collected but unused data, i.e., Dark Data, mean loss in value ...
    • 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 (Sensors;Volume 21 / Issue 24, Peer reviewed; Journal article, 2021-12-08)
      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 ...
    • Building Semantic Knowledge Graphs from (Semi-)Structured Data: A Review 

      Vetle, Ryen; Soylu, Ahmet; Roman, Dumitru (Future Internet; Volume 14 / Issue 5, Peer reviewed; Journal article, 2022-04-24)
      Knowledge graphs have, for the past decade, been a hot topic both in public and private domains, typically used for large-scale integration and analysis of data using graph-based data models. One of the central concepts ...
    • Comparative study of data transformation tools: An investigation of functionalities supported in common tools and case study of declarative and procedural data manipulation languages 

      Storvoll, Tine-Lovise (ACIT;2022, Master thesis, 2022)
      Today, organizations are collecting and storing huge amounts of data that could potentially be very valuable. Finding trends and patterns in historic data can allow businesses to make more informed decision. Data scientists ...
    • 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 (Internet of Things;Volume 16, December 2021, 100440, Peer reviewed; Journal article, 2021-11-26)
      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 ...
    • Data Quality Barriers for Transparency in Public Procurement 

      Soylu, Ahmet; Corcho, Oscar; Elvesæter, Brian; Badenes-Olmedo, Carlos; Yedro Martínez, Francisco; Kovavic, Matej; Posinkovic, Matej; Medvescek, Mitja; Makgill, Ian; Taggart, Chris; Simperl, Elena; Lech, Till Christopher; Roman, Dumitru (Information; Volume 13, Issue 2, Peer reviewed; Journal article, 2022-02-20)
      Governments need to be accountable and transparent for their public spending decisions in order to prevent losses through fraud and corruption as well as to build healthy and sustainable economies. Open data act as a major ...
    • DataCloud: Enabling the Big Data Pipelines on the Computing Continuum 

      Roman, Dumitru; Nikolov, Nikolay; Elvesæter, Brian; Soylu, Ahmet; Prodan, Radu; Kimovski, Dragi; Marrella, Andrea; Leotta, Francesco; Benvenuti, Dario; Matskin, Mihhail; Ledakis, Giannis; Simonet-Boulogne, Anthony; Perales, Fernando; Kharlamov, Evgeny; Ulisses, Alexandre; Solberg, Arnor; Ceccarelli, Raffaele (Lecture Notes in Business Information Processing;Volume 415, Chapter; Peer reviewed; Conference object; Journal article, 2021-05)
      With the recent developments of Internet of Things (IoT) and cloud-based technologies, massive amounts of data are generated by heterogeneous sources and stored through dedicated cloud solutions. Often organizations generate ...
    • Enhancing Knowledge Graph Generation with Ontology Reshaping – Bosch Case 

      Zhou, Dongzhuoran; Zhou, Baifan; Zheng, Zhuoxun; Kostylev, Egor V.; Cheng, Gong; Jimenez-Ruiz, Ernesto; Soylu, Ahmet; Kharlamov, Evgeny (Lecture Notes in Computer Science (LNCS);Volume 13384, Peer reviewed; Journal article, 2022-07-20)
      In the context of Industry 4.0 and Internet of Things (IoT), modern manufacturing and production lines are equipped with software systems and sensors that constantly collect and send a high volume of data.
    • The euBusinessGraph Ontology: a Lightweight Ontology for Harmonizing Basic Company Information 

      Roman, Dumitru; Alexiev, Vladimir; Paniagua, Javier; Elvesæter, Brian; Zernichow, Bjørn Marius von; Soylu, Ahmet; Simeonov, Boyan; Taggart, Chris (Semantic Web Journal;Vol. 13, no. 1, Peer reviewed; Journal article, 2022-11-25)
      Company data, ranging from basic company information such as company name(s) and incorporation date to complex balance sheets and personal data about directors and shareholders, are the foundation that many data value ...
    • A graph-based approach for representing, integrating and analysing neuroscience data: the case of the murine basal ganglia 

      Parnas Gulnes, Maren; Soylu, Ahmet; Roman, Dumitru (Data Technologies and Applications;, Peer reviewed; Journal article, 2021-11-01)
      Purpose: Neuroscience data is spread across a variety of sources, typically provisioned through ad-hoc and non-standard approaches and formats, and often has no connection to the related data sources. These make it difficult ...
    • Human activity recognition using wearable sensors, discriminant analysis, and long short-term memory-based neural structured learning 

      Uddin, Md Zia; Soylu, Ahmet (Scientific Reports;11, Article number: 16455 (2021), Peer reviewed; Journal article, 2021-08-12)
      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 ...
    • Improved fuzzy AHP based game-theoretic model for shipyard selection 

      Sahin, Bekir; Yazir, Devran; Soylu, Ahmet; Yip, Tsz Leung (Ocean Engineering;Volume 233, 1 August 2021, 109060, Peer reviewed; Journal article, 2021-06-02)
      Shipowners face the challenge of selecting shipyards to build a new ship, as shipyards are highly similar in terms of capacity and capability but highly heterogeneous with a variety of incentives to shipowners. Building a ...
    • Locality-Aware Workflow Orchestration for Big Data 

      Corodescu, Andrei-Alin; Nikolov, Nikolay; Khan, Akif Quddus; Soylu, Ahmet; Matskin, Mihhail; Payberah, Amir; Roman, Dumitru (MEDES: Management of Emergent Digital EcoSystems;MEDES '21: Proceedings of the 13th International Conference on Management of Digital EcoSystems, Chapter; Peer reviewed; Conference object, 2021-11-09)
      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 ...
    • On Converting Crisp Failure Possibility into Probability for Reliability of Complex Systems 

      Sahin, Bekir; Yazidi, Anis; Roman, Dumitru; Uddin, Md Zia; Soylu, Ahmet (Lecture Notes in Networks and Systems;Volume 308, Peer reviewed; Journal article, 2021-08-24)
      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 ...
    • Ontology-Based Fault Tree Analysis Algorithms in a Fuzzy Environment for Autonomous Ships 

      Sahin, Bekir; Yazidi, Anis; Roman, Dumitru; Soylu, Ahmet (IEEE Access;Volume 9, 2021, Peer reviewed; Journal article, 2021-02-24)
      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 ...
    • Query-Based Industrial Analytics over Knowledge Graphs with Ontology Reshaping 

      Zheng, Zhuoxun; Zhou, Baifan; Zhou, Dongzhuoran; Cheng, Gong; Jimenez-Ruiz, Ernesto; Soylu, Ahmet; Kharlamov, Evgeny (Lecture Notes in Computer Science (LNCS);Volume 13384, Peer reviewed; Journal article, 2022-07-20)
      Industrial analytics that includes among others equipment diagnosis and anomaly detection heavily relies on integration of heterogeneous production data. Knowledge Graphs (KGs) as the data format and ontologies as the ...
    • 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 (Journal of Web Semantics;Volume 71, November 2021, 100664, Peer reviewed; Journal article, 2021-10-22)
      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 ...
    • 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 (Semantic Web Journal;Vol. 13, no. 2, Peer reviewed; Journal article, 2022-02-03)
      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 ...