We are currently investigating which data management technologies can be applied to what type of graph data application.
The steadily increasing informatization of society and economy produces data at a rate that has never been seen before. The volume and variety of available digital information continuously inspires new possibilities how insights can be gained by analyzing this data.
In order to realize this potential, numerous research efforts are already underway, which are typically summarized under the umbrella of data science. Data science is a field that crosscuts many research area of computer science, such as artificial intelligence, machine learning, data mining, databases, and information systems.
Our research falls into the last two of these areas and aims at supporting data science at the system level. Data science requires the management of new types of data as well as new complex ways to process it. Our research method is to address these requirements by innovating new and general solutions that leverage and extend core database and information systems technologies.
Within this broad area, our research focuses on challenges linked to data processing, in both traditional database and data stream management systems.