Berlin Big Data Center

Logo: BBDC

Big data is often defined as any data set that cannot be handled using today’s widely available mainstream techniques and technologies. The challenges of handling big data are often described using 3-Vs (volume, variety and velocity): high volume of data from a variety of data sources arriving with high velocity analysed to achieve an economic benefit. However, the 3-Vs fail to reflect complexity of “Big Data” in its entirety. The real complexity from a technical perspective stems from the fact that complex predictive and prescriptive analytic methods need to be applied to huge, heterogeneous data sets. However, “Big Data” (or often also called “Smart Data”) has a much wider scope and has challenges and opportunities in 5 dimensions: technology, application, economic, legal and social.

The language technology group in Berlin led by Prof. Dr. Hans Uszkoreit is part of the Berliner Big Data Center. The LT group is working on research and development of new big data text analytics technologies and their applications.

Funded by:Federal Ministry of Education and Research
Project Manager:Feiyu Xu (Feiyu.Xu@dfki.de)
Contact:Feiyu Xu (Feiyu.Xu@dfki.de)
Duration: 01.10.2014 - 30.09.2018
Partners:GermanyTU Berlin,
GermanyZIB Berlin,
GermanyFritz-Haber-Institut der Max-Planck-Gesellschaft,
GermanyBeuth Hochschule für Technik Berlin