Running Theses

The goal of this thesis is to implement an intuitive graph-based GUI for the NoSQL database ArangoDB. The GUI should be able to display the result of an Arango-Query-Language (AQL)- query or a traversal in a graph in order to reduce the cognitive overhead when viewing the result. Also the GUI should allow the user to manipulate the dataset using the full feature set of classical administration tools.

The objective of this thesis is to design and implement a framework to analyze and integrate large-scale social networks on the cloud. The evaluation will be done using data from AERCS.

This master thesis focuses on Web service discovery and the use of ontologies as centralized domain model for distributed applications.

Schema matching is the task of finding correspondences between two schemas. Many schema matchers using various matching strategies have been proposed in the recent years. The selection and configuration of a schema matcher for a given matching task is still a challenging problem as it requires knowledge about the input schemas and the matchers being used. The goal of this thesis is to develop mechanisms to automatically select and configure matchers for a matching problem.

Competitive videogames, also known as e-sports, is a young and growing field, gaining increasing popularity across the demographic worldwide. Unlike traditional sports like soccer or baseball, most of the games do not have established metrics and automatic analysis methods, and affords many ways of incuiry. The focus of this thesis is the application of Activity Recognition and Player Modeling techniques to match-replays of an online multiplayer videogame: DotA2 - a team game with great depth, complexity, an active competitive scene and a large player base. In the first step, a web-based match annotation platform is developed and provided to the community. Through the usage of the platform, a dataset of annotated matches is assembled in a typical crowdsourcing fashion. Existing Activity Recognition methods, utilized in Pervasive Computing for the interpretation of sensor data are adapted to event based data, trained and evaluated on the dataset, with the goal to distinguish between different characteristical players behaviours in an automated and reliable fashion. In the final step, the developed system is integrated into the previously developed annotation platform, to provide semantic understanding of new matches on demand.

The purpose of the service is to visualize models of learning communities. The models will represent different community states, like community growth or community death.

Design and implementation of a dashboard for the visualization and navigation within results of the previously realized OSS analyses

Modellierung von Prozessen zur Qualitätssicherung und zum Qualitätsnachweis in der klinischen Forschung und in klinischen Studien.

The objective of this thesis is to elaborate the provision and collection of Web Analytics monitoring data within a P2P network of service provisioning nodes and to make this data available for service providers as well as end-user and developer communities in a reasonable way, building on prior results.

Serious games “have an explicit and carefully thought-out educational purpose and are not intended to be played primarily for amusement. We want to set up a framework for serious gaming where easily different educational material from anatomics can be implemented to offer serious games in a blended form.