Smart Data Analytics

The Smart Data Analytics (SDA) research group, led by Prof. Dr. Jens Lehmann, has members from the Institute for Computer Science III at the University of Bonn, the Fraunhofer Institute for Intelligent Analysis and Information Systems (IAIS) and the Institute for Applied Computer Science Leipzig. This research group works on the development of scalable analytics and distributed algorithms for tasks like similarity assessment, multilingual matching, anomaly detection. classification, optimization, and clustering. The major tool used for implementation is Apache Spark for scalable processing of large scale datasets and distribution of computational tasks in memory. Another research focus of the group is semantic modelling and developing scalable solutions for handling heterogeneous data and long-tail data, applied to data management, multimodal analytics and data harmonization. The group also works on the development of big data infrastructures and platforms for scalable computing and heterogeneous data management.

Distributed Semantic Analytics

The group develops horizontally scalable analytics algorithms for analysing large scale knowledge graphs by distributing the computational tasks in the main memory of individual nodes.

Knowledge Graph Analysis

The group focuses on machine learning over knowledge graphs, in particular by computing embeddings and by learning description logic concepts.

Semantic Data Management

The group's research focus is on knowledge and data representation, integration, and management based on semantic technologies.

Semantic Question Answering

The group focusses on querying knowledge graphs using natural language using both machine learning as well as rule-based natural language processing techniques.

Software Engineering for Data Science

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.

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