Inspiring results at the HPI Hackathon 2019 about://social.good in Potsdam

Inspiring results at the HPI Hackathon 2019 about://social.good in Potsdam ( — impressive prototypes generated in less than a day around IBM-sponsored challenges on fake news detection and visualizations of cross-border conflict. Had a great time sponsoring the event with Matthias Bracht & Frank Hamburger.

Hackathon results are here: with IBM challanges as follows:

Impressions from HackHPI 2019

BDSDST 2017 : 3rd International Workshop on Big Data, Smart Data and Semantic Technologies

Call for Papers: Consider submitting to the 3rd International Workshop on Big Data, Smart Data and Semantic Technologies, co-located with the INFORMATIK 2017 conference in Chemitz, Germany. The workshop proceedings are to be published in the (electronic) Lecture Notes in Informatics (LNI).

I am participating on the programme committee.

From the CfP:

The focus of the workshop BDSDST 2017 will be on the potential of Big Data, Smart Data and semantic technologies in different application areas. The workshop aims to bring together researchers and practitioners using Big and Smart Data in combination with semantic technologies or planning to enrich existing data processing infrastructures with semantic information.


The workshop covers diverse application areas of Big Data, Smart Data and semantic technologies, such as transport logistics, Supply Chain Management, Smart Factory, traffic flow, emission and energy consumption modelling, analytics, simulation and visualization, public transportation, complex event processing, machine learning, mobile information systems, geo-information systems, smart services and many more.


Workshop on Situation Recognition (SIREMTI2015)

UPDATE 2: The deadline for submissions was extended to 30th September, 2015.

UPDATE: The workshop was relocated to MobiCASE2015 conference in November
2015, Berlin, Germany. The deadline for submissions is currently 11th September 2015.

(I am on the Programme Committee.)

Important dates and submission information: Workshop Homepage

From the CfP:

This workshop aims at merging research works relevant to mining temporal information from any kind of data with a special focus on (but not limited to) the following methods:

  • Trend Mining
  • Temporal Data Mining
  • Topic Mining and Mining of Users Posts
  • Data-based Situation Recognition
  • Intelligent Situation Recognition
  • Wireless Data Mining
  • Signal Detection and Analysis
  • Complex Event Processing and Messaging Analytics
  • Semantic Complex Event Processing
  • Data Stream Processing
  • Data Mining on Streaming Data
  • Semantic Technologies for Situation Recognition

RDF Stream Processing Workshop at ESWC2015, Call for Papers

In conjunction with the 12th Extended Semantic Web Conference (ESWC 2015). May 31th, 2015 in Portoroz, Slovenia.

From the Call for Papers:

The goal of this workshop is to bring together interested members of the community to:

  • Demonstrate their latest advances in stream processing systems for RDF.
  • Foster discussion for agreeing on a core model and query language for RDF streams.
  • Involve and attract people from related research areas to actively participate in the RSP Community Group.

(I am on the Programme Committee.)

Another workshop was accepted, called DeRiVE which seems to focus more on applications of RDF events whereas RSP ist more technical focusing on streaming and processing real-time streams.


Tutorial on Complex Event Processing

I gave a tutorial about Complex Event Processing and more specifically the PLAY semantic event format and query language at the Winter School on Knowledge Technologies for Complex Business Environments in Ljubljana on December 2, 2011 at the Faculty of Mechanical Engineering (FME).

CEP – Complex Event Processing
Roland Stühmer


Real-time has become one of the crucial characteristics of modern applications and is completely changing the game in the data processing. Due to its capability to support continual monitoring, real-time data processing has become a very important mechanism in many application areas: traffic management, logistics, eHealth, smart grids, to name but a few. In this talk we present technologies to deal with real-time data on-the-fly, challenges and possible solutions to deal with these challenges such as using Web-friendly standards to create open and extensible systems for real-time data.

See also: