Research & Innovation

The existence of many digital libraries, maintained by different organizations, brings challenges to the discoverability of cultural heritage (CH) resources. Metadata aggregation is an approach where centralized efforts like Europeana facilitate their discoverability by collecting the resource’s metadata.

Due to the growing complexity of information systems and the increasing prevalence and sophistication of threats, security man- agement has become an enormously challenging task. To identify suspicious activities, security analysts need to monitor their systems constantly, which involves coping with high volumes of heterogeneous log data from various sources.

Automatic Term Extraction is a fundamental Natural Language Processing task often used in many knowledge acquisition pro- cesses. It is a challenging NLP task due to its high domain dependence: no existing methods can consistently outperform others in all domains, and good ATE is very much an unsolved problem.

The schema.org initiative led by the four major search engines curates a vocabulary for describing web content. The number of semantic annotations on the web are increasing, mostly due to the industrial incentives provided by those search engines. The annotations are not only consumed by search engines, but also by other automated agents like intelligent personal assistants (IPAs).

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.