Bjørn Marius von Zernichow
Forsker
Bjørn Marius von Zernichow
Forsker
Publikasjoner og ansvarsområder
A Bird’s-Eye View of euBusinessGraph: A Business Knowledge Graph for Company Data
Predictive Data Transformation Suggestions in Grafterizer Using Machine Learning
Modelling and Linking Company Data in the euBusinessGraph Platform
Linked Data Exploration With RDF Surveyor
Linked Data exploration is an essential task in the process of understanding, assessing, and using datasets made available in the Resource Description Framework (RDF) format. Current solutions for exploration of RDF data are mainly targeted at Semantic Web experts, require non-trivial deployments...
Maritime Data Space - presentation at the IDSA Summit 2019
The Maritime Data Space project aims at creating an open Maritime Data Ecosystem for secure and trusted exchange and sharing of data among trusted stakeholders on ship and shore. The Maritime Data Space project was presented by SINTEF at the IDSA conference as a key use case in the maritime...
Maritime Data Space - invitation to stakeholder workshop with the Code Kilo joint industrial project in maritime sector
Code Kilo is a Joint Industrial Project promoted by EuroYards and carried out by its members and partners, the most important shipbuilders community in the Western hemisphere. Code Kilo aims at developing a new open standard and a dedicated open connected platform. These standards will be conceived...
DataGraft beta v2: New features and capabilities
In this demonstrator, we will introduce the latest features and capabil-ities added to DataGraft – a Data-as-a-Service platform for data preparation and knowledge graph generation. DataGraft provides data transformation, publishing and hosting capabilities that aim to simplify the data publishing...
ALaDIn: Shining a Light on Air Quality through Data Integration and Machine Learning
To achieve the necessary level of accuracy when measuring air pollution for scientific purposes, expensive and complicated instrumentation is required. Consequently, only federal, local governments and some industries, collect data of sufficient quality for research, and only for a small number of...
A Visual Data Profiling Tool for Data Preparation
In this paper, we propose a tool that implements visual data profiling capabilities for data preparation – an essential step in the process of linked data generation. Our tool features visual data profiling – a technique that identifies and visualizes potential data quality issues, relevant data...