Smart Data Analytics
The Smart Data Analytics (SDA) research group, led by Prof. Dr. Jens Lehmann, has members from the Institute for Computer Science at the University of Bonn, the Fraunhofer Institute for Intelligent Analysis and Information Systems (IAIS) and the Institute for Applied Computer Science Leipzig. At its core, the group investigates machine learning techniques ("analytics") using structured knowledge ("smart data"). The group aims at covering the full spectrum of research including theoretical foundations, algorithms, prototypes and industrial applications.
The research group develops scalable analytics algorithms based on Apache Spark and Apache Flink for analysing large scale datasets by distributing the computational tasks in memory.
The use of Semantic Web technologies led to an increasing number of structured data published on the Web. Despite the advances on question answering systems retrieving the desired information from structured sources is still a substantial challenge.
The group focuses on combining Semantic Web and supervised Machine Learning technologies. The goal is to improve both quality and quantity of available knowledge by extracting, analysing, enriching and linking existing data.
Deep learning models consist of multiple non-linear processing layers which allow for the hierarchical extraction of more and more abstract characteristics of the data and the discovery of the intricate structure in large data sets by building distributed representations.
Geospatial analysis is the gathering, display, and manipulation of imagery, GPS, satellite photography and historical data, described explicitly in terms of geographic coordinates or implicitly, in terms of a street address, postal code, or forest stand identifier as they are applied to geographic models.
The group researches on how data and software engineering methods can be aligned and how those two closely related areas can benefit from each other.