Pieter Heyvaert

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Obtaining Linked Data by modeling domain-level knowledge derived from input data is not straightforward for data publishers, especially if they are not Semantic Web experts. Developing user interfaces that support domain experts to semantically annotate their data became feasible, as the mapping rules were abstracted from their execution. However, most(More)
Modeling domain knowledge as Linked Data is not straightforward for data publishers, because they are domain experts and not Semantic Web specialists. Most approaches that map data to its semantic representation still require users to have knowledge of the underlying implementations, as the mapping definitions remained, so far, tight to their execution.(More)
As the amount of generated sensor data is increasing, semantic interoperability becomes an important aspect in order to support efficient data distribution and communication. Therefore, the integration of (sensor) data is important, as this data is coming from different data sources and might be in different formats. Furthermore, reusable and extensible(More)
The world contains a large amount of sensors that produce new data at a high frequency. It is currently very hard to find public services that expose these measurements as dynamic Linked Data. We investigate how sensor data can be published continuously on the Web at a low cost. This paper describes how the publication of various sensor data sources can be(More)
Containers – lightweight, stand-alone software executables – are everywhere. Industries exploit container managers to orchestrate complex cloud infrastructures and researchers in academia use them to foster reproducibility of computational experiments. Among existing solutions, Docker is the de facto standard in the container industry. In this paper, we(More)
Linked Data generation and publication remain challenging and complicated, in particular for data owners who are not Semantic Web experts or tech-savvy. The situation deteriorates when data from multiple heterogeneous sources, accessed via different interfaces, is integrated, and the Linked Data generation is a long-lasting activity repeated periodically,(More)
Linked Data is in many cases generated from (semi-)structured data. This generation is supported by several tools, a number of which use a mapping language to facilitate the Linked Data generation. However, knowledge of this language and other used technologies is required to use the tools, limiting their adoption by non-Semantic Web experts. We demonstrate(More)