Blar i SINTEF Open på forfatter "Roman, Dumitru"
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Enabling the Use of Sentinel-2 and LiDAR Data for Common Agriculture Policy Funds Assignment
Estrada, Jesus; Sánchez, Héctor; Hernanz, Lorena; Checa, María José; Roman, Dumitru (Journal article; Peer reviewed, 2017)A comprehensive strategy combining remote sensing and field data can be helpful for more effective agriculture management. Satellite data are suitable for monitoring large areas over time, while LiDAR provides specific and ... -
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 (Peer reviewed; Journal article, 2022)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 ... -
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, ... -
From standards and regulations to executable rules: A case study in the Building Accessibility domain
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 ... -
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 (Peer reviewed; Journal article, 2021)Purpose: Neuroscience data are spread across a variety of sources, typically provisioned through ad-hoc and non-standard approaches and formats and often have no connection to the related data sources. These make it difficult ... -
Interacting with subterranean infrastructure linked data using augmented reality
Sukhobok, Dina; Nikolov, Nikolay; Lech, Till Christopher; Moberg, Arnt-Henning; Frantsvåg, Roar; Bergaas, Helene Risti; Roman, Dumitru (Journal article; Peer reviewed, 2017)Subterranean infrastructure damages caused by excavation works of all kinds are costly and potentially dangerous for workers. Such damages are often caused by poor subterranean data or inappropriate use of the existing ... -
Linked data for common agriculture policy: Enabling semantic querying over sentinel-2 and LiDAR data
Sukhobok, Dina; Sanchez, Hector; Estrada, Jesus; Roman, Dumitru (Journal article; Peer reviewed, 2017)The amount of open and free satellite earth observation data combined with available data from other sectors (e.g. biodiversity, landscape elements, cadaster data) has the potential to enhance decisionmaking processes in ... -
Linked data for the Norwegian state of estate reporting service
Shi, Ling; Pettersen, Bjørg Elsa; Sukhobok, Dina; Nikolov, Nikolay; Roman, Dumitru (Journal article; Peer reviewed, 2017)The Norwegian State of Estate (SoE) report includes information about all Norwegian state-owned properties and buildings in the public sector and aims to assist government decision makers to allocate resources more ... -
Locality-Aware Workflow Orchestration for Big Data
Corodescu, Andrei-Alin; Nikolov, Nikolay; Khan, Akif Quddus; Soylu, Ahmet; Matskin, Mihhail; Payberah, Amir; Roman, Dumitru (Chapter; Peer reviewed, 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 ... -
Machine learning based assessment of preclinical health questionnaires
Avram, Calin; Gligor, Adrian; Roman, Dumitru; Soylu, Ahmet; Nyulas, Victoria; Avram, Laura (Peer reviewed; Journal article, 2023)Background: Within modern health systems, the possibility of accessing a large amount and a variety of data related to patients' health has increased significantly over the years. The source of this data could be mobile ... -
Norwegian State of estate report as linked open data
Shi, Ling; Sukhobok, Dina; Nikolov, Nikolay; Roman, Dumitru (Journal article; Peer reviewed, 2017)This paper presents the Norwegian State of Estate (SoE) dataset containing data about real estates owned by the central government in Norway. The dataset is produced by integrating cross-domain government datasets including ... -
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 ... -
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 Linked Data AppStore
Roman, Dumitru; Pop, Claudia D.; Roman, Roxana I.; Mathisen, Bjørn Magnus; Wienhofen, Leendert Wilhelmus Marinus; Elvesæter, Brian; Berre, Arne- Jørgen (Peer reviewed; Journal article, 2014)This demo/poster paper provides an overview of a Software-as-a-Service platform prototype for data integration on the Web – The Linked Data AppStore (LD-AppStore). It builds upon Linked Data technologies, targets data ... -
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 ... -
ProDataMarket: A data marketplace for monetizing linked data
Roman, Dumitru; Paniagua, Javier; Tarasova, Tatiana; Georgiev, Georgi; Sukhobok, Dina; Nikolov, Nikolay; Lech, Till Christopher (Journal article; Peer reviewed, 2017)Linked data has emerged as an interesting technology for Publishing structured data on the Web but also as a powerful mechanism for integrating disparate data sources. Various tools and approaches have been developed in ... -
Publishing socio-economic territory indices as linked data and their visualization for real estate valuation
Sukhobok, Dina; Djordjevic, Divna; Sanvito, Diego; Paniagua, Javier; Roman, Dumitru (Journal article; Peer reviewed, 2017)The correct estimation of the real estate value facilitates decision making in various sectors, such as Public administration or the real estate market. In this paper we demonstrate a method to manage territory scores and ... -
A Reference Data Model to Specify Event Logs for Big Data Pipeline Discovery
Benvenuti, Dario; Marrella, Andrea; Rossi, Jacopo; Nikolov, Nikolay Vladimirov; Roman, Dumitru; Soylu, Ahmet; Perales, Fernando (Peer reviewed; Journal article, 2023)State-of-the-art approaches for managing Big Data pipelines assume their anatomy is known by design and expressed through ad-hoc Domain-Specific Languages (DSLs), with insufficient knowledge of the dark data involved in ... -
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 ...