in order to understand the unknown parts of history, having access to new historical documents and their interrelationship could be a breakthrough for researchers in the field of history. in this context, coins and numismatic knowledge are known as valuable resources to clarify the historical uncertainties such as geographical names and their evolution, discovering unknown cities, their names, ...

Der Kommentar reflektiert anhand des vorgestellten MOOC ‚Discovering Greek & Roman Cities‘ Herausforderungen und Perspektiven digitalen historischen Lernens auf Ebene der wissenschaftlichen Auseinandersetzung, Ausbildung von Lehrenden schulischen Umsetzung. Dafür werden Facetten geschichtsdidaktischen Diskurses zum Lernen mit dem Aufbau den Erfahrungen verknüpft, um so Impulse für die Gesta...

The Relationship Finder is a tool for exploring connections between objects in a Semantic Web knowledge base. It offers a new way to get insights about elements in an ontology, in particular for large amounts of instance data. For this reason, we applied the idea to the DBpedia data set, which contains an enormous amount of knowledge extracted from Wikipedia. We describe the workings of the Rel...

The main drawbacks of sequential pattern mining have been its lack of focus on user expectations and the high number of discovered patterns. However, the solution commonly accepted – the use of constraints – approximates the mining process to a verification of what are the frequent patterns among the specified ones, instead of the discovery of unknown and unexpected patterns. In this paper, we ...

We propose a motion planning gap-based algorithms for mobile robots in an unknown environment for exploration purposes. The results are locally optimal and sufficient to navigate and explore the environment. In contrast with the traditional roadmap-based algorithms, our proposed algorithm is designed to use minimal sensory data instead of costly ones. Therefore, we adopt a dynamic data structur...