• 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, ...
    • Standards and Initiatives for Service Modeling - The Case of OMG SoaML 

      Roman, Dumitru; Carrez, Cyril; Elvesæter, Brian; Berre, Arne- Jørgen (Chapter, 2011)
      Service modeling is a key element of any service-oriented system. It is the foundation on which core service-related tasks such as service discovery, composition, and mediation rely. During the past years standardization ...
    • Tabular Data Anomaly Patterns 

      Sukhobok, Dina; Nikolov, Nikolay; Roman, Dumitru (Chapter, 2017)
      One essential and challenging task in data science is data cleaning - the process of identifying and eliminating data anomalies. Different data types, data domains, data acquisition methods, and final purposes of data ...
    • The InfraRisk ontology: enabling semantic interoperability for critical infrastructures at risk from natural hazards 

      Roman, Dumitru; Sukhobok, Dina; Nikolov, Nikolay; Elvesæter, Brian; Pultier, Antoine (Journal article; Peer reviewed, 2017)
      Earthquakes, landslides, and other natural hazard events have severe negative socio-economic impacts. Among other consequences, those events can cause damage to infrastructure networks such as roads and railways. Novel ...
    • 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 collective awareness platform for privacy concerns and expectations 

      Flouris, Giorgos; Patkos, Theodore; Chrysakis, Ioannis; Konstantinou, Ioulia; Nikolov, Nikolay; Papadakos, Panagiotis; Pitt, Jeremy; Roman, Dumitru; Stan, Alexandru; Zeginis, Chrysostomos (Journal article; Peer reviewed, 2018)
      In an increasingly instrumented and inter-connected digital world, citizens generate vast amounts of data, much of it being valuable and a significant part of it being personal. However, controlling who can collect it, ...
    • 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. ...
    • 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 ...
    • Usability of visual data profiling in data cleaning and transformation 

      von Zernichow, Bjørn Marius; Roman, Dumitru (Journal article; Peer reviewed, 2017)
      This paper proposes an approach for using visual data profiling in tabular data cleaning and transformation processes. Visual data profiling is the statistical assessment of datasets to identify and visualize potential ...
    • Using rules for assessing and improving data quality: A case study for the Norwegian State of Estate report 

      Shi, Ling; Roman, Dumitru (Journal article; Peer reviewed, 2017)
      Regulatory compliance check in the building industry is a complex task that involves cross-domain national and international standards and regulations. This paper introduces a refined approach to extract SWRL rules from ...