Contact

Please send emails to aksw@informatik.uni-leipzig.de.

How To Find Us

The Department of Business Information Systems is located in the new, central premises of Leipzig University at Augustusplatz 10. You will find the offices of the AKSW research group in the Paulinum building on the 6th floor.

Directions

By car

  • Motorway A9 (Berlin – Munich): Exit on Großkugel to the highway B6 or exit on Leipzig West to the Interstate B181, then follow directions to Leipzig's city centre (“Innenstadt Leipzig”)
  • Motorway A38 (Göttingen – Leipzig): Exit on Kreuz Rippachtal to the highway B87, then follow directions to Leipzig's city centre (“Innenstadt Leipzig”)
  • Motorway A14 (Nossen – Magdeburg): Exit on Leipzig Mitte to the highway B2 or exit on Leipzig Nordost to the Interstate B87, then follow directions to Leipzig's city centre (“Innenstadt Leipzig”)

Follow the city's inner ring road until Augustusplatz / Goethestraße. You could use the underground car park at Augustusplatz route finder.

By train

Intercity and Intercity-Express trains connect Leipzig with almost all European cities. Take a look at the German Railways website for planning your journey.

The premises of the University of Leipzig are not far away from Leipzig’s Main Station (400m, 10 min walk). Public transportation is available right in front of the station. You can get a taxi or catch tram 4, 7, 12 or 15 heading eastward to reach our offices.Get off at the stop 'Augustusplatz'. If you turn right, the Paulinum building of the University, which resembles a church, should be in sight and approximately 100m ahead of you. Use the entrance of the Paulinum building.

By plane

It takes about 30 minutes by car to get from Leipzig-Halle Airport to the city centre. There are also direct trains from the airport to Leipzig’s Main Station. They leave every 30 minutes and take you to the city centre in about 15 minutes. To reach Augustusplatz 10, please follow the directions described above.

If there are no direct flights to Leipzig from your city, you can also reach Leipzig via these airports:

  • Berlin (about one-hour train ride to Leipzig / approx. 40 Euro one way),
    • From Berlin Tegel (airport code TXL) take the TXL bus to Berlin Hauptbahnhof main train station and the direct IC/ICE train to Leipzig
    • From Berlin Schönefeld (airport code SXF) take the SXF bus to Berlin Südkreuz train station and the direct IC/ICE train to Leipzig
  • Frankfurt / Main (about 3.5 hours train ride / approx. 70 Euro one way)
  • Hannover (about three-hours train ride / approx. 50 Euro one way).

Trains depart frequently (mostly hourly) from these cities to Leipzig. Please check the schedule at Deutsche Bahn.

See also www.leipzig-halle-airport.de for more information.

Accommodation

Leipzig offers a variety of hotels, hostels and apartments. We have shortlisted a few hotels for you there. A decent option right in the center and conveniently located between the train station and our office is Motel One (other than the name suggests its a modern, convenient and elegant hotel).

Address

Leipzig University
Faculty of Mathematics and Computer Science
Institute of Computer Science
Dept. Business Information Systems
Augustusplatz 10
04109 Leipzig, Germany

Phone: +49 (341) 97 32 310

Fax: +49 (341) 97 32 369

News

SANSA 0.7.1 (Semantic Analytics Stack) Released ( 2020-01-17T09:52:41+01:00 by Prof. Dr. Jens Lehmann)

2020-01-17T09:52:41+01:00 by Prof. Dr. Jens Lehmann

We are happy to announce SANSA 0.7.1 – the seventh release of the Scalable Semantic Analytics Stack. SANSA employs distributed computing via Apache Spark and Flink in order to allow scalable machine learning, inference and querying capabilities for large knowledge graphs. Read more about "SANSA 0.7.1 (Semantic Analytics Stack) Released"

More Complete Resultset Retrieval from Large Heterogeneous RDF Sources ( 2019-12-05T15:46:09+01:00 Andre Valdestilhas)

2019-12-05T15:46:09+01:00 Andre Valdestilhas

Over recent years, the Web of Data has grown significantly. Various interfaces such as LOD Stats, LOD Laundromat and SPARQL endpoints provide access to hundreds of thousands of RDF datasets, representing billions of facts. Read more about "More Complete Resultset Retrieval from Large Heterogeneous RDF Sources"

DL-Learner 1.4 (Supervised Structured Machine Learning Framework) Released ( 2019-09-24T22:41:46+02:00 by Simon Bin)

2019-09-24T22:41:46+02:00 by Simon Bin

Dear all, The Smart Data Analytics group [1] and the E.T.-db-MOLE sub-group located at the InfAI Leipzig [2] is happy to announce DL-Learner 1.4. DL-Learner is a framework containing algorithms for supervised machine learning in RDF and OWL. Read more about "DL-Learner 1.4 (Supervised Structured Machine Learning Framework) Released"

DBpedia Day @ SEMANTiCS 2019 ( 2019-08-01T10:35:05+02:00 by Sandra Bartsch)

2019-08-01T10:35:05+02:00 by Sandra Bartsch

 We are happy to announce that SEMANTiCS 2019 will host the 14th DBpedia Community Meeting at the last day of the conference on September 12, 2019. Read more about "DBpedia Day @ SEMANTiCS 2019"

LDK conference @ University of Leipzig ( 2019-03-22T09:21:41+01:00 by Julia Holze)

2019-03-22T09:21:41+01:00 by Julia Holze

With the advent of digital technologies, an ever-increasing amount of language data is now available across various application areas and industry sectors, thus making language data more and more valuable. Read more about "LDK conference @ University of Leipzig"