Research & Innovation

One of the most critical challenges in human-robot collaborative work settings is ensuring the health and safety of the involved human workers.

Autonomous virtual agents that operate in complex IoT environ- ments face two fundamental challenges: (i) they usually lack su - cient start-up knowledge and (ii) hence are incapable to adequately adjust their internal knowledge base and decision-making policies during runtime to meet speci c user requirements and preferences.

The increasing amount of publicly available data streams of environmental observation stations opens up new opportunities: do- main experts in the field of environmental observations are provided with extensive observations covering large areas with high density of environmental sensors, which could hardly ever be provided by a single organization.

Labels in the Web of Data are the key element for humans to access the data. In the following, we analyze seven diverse datasets, from the web of data, a collaborative knowledge base, open governmental and GLAM data. We gain an insight into the current state of labels and multilinguality on the web of data.

In today’s age of (Industrial) Internet of Things, large amounts of data are generated in public and industrial settings every second. For enabling data analytics and aggregation, many companies currently focus on the approach of data lakes.

A known problem for proponents of Entity Linking in Cultural Heritage collections is the poor representation of entities in popular knowledge bases such as DBpedia. This is largely due to the niche nature of the entities contained in these collections.

The most common format to store and provide technical documentation is PDF. However, due to the un- structured nature of the format these documents are often excluded from a granular semantic access.

This paper describes an OWL ontology that is a Universal Moral Grammar (UMG). UMG has been hypothesized by students of Chomsky to play the same role in human ethics as Universal Grammar (UG) does in Linguistics. I.e., the UMG describes an innate genetic phenotype of moral reasoning just as UG describes the Language Faculty.

rdf Stream Processing (rsp) is a rapidly evolving area of research that focuses on extensions of the Semantic Web in order to model and process Web data streams.

Rigorous evaluations and analyses of evaluation results are key towards improving Named Entity Linking systems. Nevertheless, most current evaluation tools are focused on benchmarking and comparative evaluations.