At the AKSW Colloquium, on Monday 3rd of April 2017, 3 PM, Tommaso Soru will present the state of his ongoing research titled “Efficient Rule Mining on RDF Data”, where he will introduce Horn Concerto, a novel scalable SPARQL-based approach for the discovery of Horn clauses in large RDF datasets. The presentation slides will be available at this URL.


Studentische IT-Konferenz zu Java-Programmierung an der HTWK Leipzig


Das JUG Saxony Camp findet im Nieper-Bau der HTWK Leipzig statt. (Foto: Johannes Ernst/HTWK Leipzig)

Anfang April 2016, also fast genau vor einem Jahr, waren die so genannten „Panama Papers“ in aller Munde – eine Datenbank auf Basis vertraulicher Dokumente über Steuer- und Geldwäschedelikte eines panamaischen Dienstleisters, die gleichzeitig in knapp 80 Ländern durch Journalisten enthüllt wurden. Für die Untersuchung dieses größten Lecks einer Geldwäschefirma war unter anderem auch die Graphendatenbank Neo4j genutzt worden.
Beim ersten JUG Saxony Camp am Freitag, dem 31. März an der Hochschule für Technik, Wirtschaft und Kultur Leipzig (HTWK Leipzig) wird der Vortrag zu den Hintergründen der „Panama Papers“ aus IT-Sicht von Michael Hunger („Neo Technology“, Schweden/USA) sicherlich ein Highlight werden. Michael Hunger wird demonstrieren, wie solch große Datenmengen wie bei den „Panama Papers“ in einem Graph modelliert, importiert und abgefragt werden können (Beginn 17.15 Uhr).


Die Hochschule für Technik, Wirtschaft und Kultur Leipzig (HTWK Leipzig) wird am Sonnabend, den 29. April 2017 bis tief in die Nacht wieder zum Eldorado für Gamer: Um 14 Uhr startet die elfte Lange Nacht der Computerspiele, die unmittelbar an den Hochschulinformationstag anschließt. In den Gängen und Räumen der Hochschule werden rund 250 PCs, Heimcomputer und Konsolen aufgebaut, mitgebracht von Sammlern, Vereinen und Entwicklern (Ort: Lipsius-Bau der HTWK Leipzig, Karl-Liebknecht-Str. 145, 04277 in Leipzig).


On the 13th of February at 3 PM, Michael Röder will present the two papers “Evaluating Entity Linking: An Analysis of Current Benchmark Datasets and a Roadmap for Doing a Better Job” of van Erp et al. and “Moving away from semantic overfitting in disambiguation datasets” of Postma et al. in P702.


SLIPO, a new InfAI project kicked-off between the 18th and 20th of January in Athens, Greece. Funded by the EU-program “Horizon 2020”, the project is planned to have an operational time until the 31st of December 2019.

Scalable Linking and Integration of Big POI Data (SLIPO) has the goal to transfer the output of the GeoKnow researches to certain challenges of POI data, which becomes more and more indispensable for issues in the fields of tracking, logistics and tourism. Furthermore we are scheduling to improve the scalability of our key research frameworks, such as LIMES, DEER or LinkedGeoData.

For or closer look please visit: http://aksw.org/Projects/SLIPO.html


On the upcoming colloquium on 23.01.2017, Ivan Ermilov will present his work on automatic mappings of tables to knowledge graphs, which was published as TAIPAN: Automatic Property Mapping for Tabular Data on EKAW’2016 conference, as well as extension of this work including:

  • Open Table Extraction (OTE) approach, i.e. how to generate meaningful information from a big corpus of tables.
  • How to benchmark OTE and which benchmarks are available.
  • OTE use cases and applications.

The latest release informs about the conferences our team attended in 2016 as well as about the published blogposts. Furthermore it gives a short analysis about the survey by which we are able to verify requirements of our benchmarks and the new HOBBIT plattform. Last but not least the release gives a short outlook to our plans in 2017 including the founding of the HOBBIT association.

Have a look at the whole press release on the HOBBIT website .


The meeting, hosted by our partner InfAI e. V., took place on the 14th to the 15th of December at the University of Leipzig.
The 29 attendees in total, including 15 partners, discussed and reviewed the progress of all work packages in 2016 and planned the activities and workshops taking place in the next six months.

On the second day we talked about several societal challenge pilots in the fields of AgroKnow, transport, security etc. It’s been the last plenary for this year and we thank everybody for their work in 2016. Big Data Europa and our partners are looking forward to 2017.

The next Plenary Meeting will be hosted by VU Amsterdam and will take place in Amsterdam, in June 2017.