First, DDIS PhD student Romana Pernischova gave her talk on the Stream Processing: The Matrix Revolutions at the 12th International Workshop on Scalable Semantic Web Knowledge Base System. The paper presents an approach that integrates matrices, tuples, and triples in stream processing. Such an approach is especially useful in settings, where various data sources need to be combined such as when processing videos, statistics, and structured data in the IPTV environment.

Romana Pernishova giving her Presentation

Second, Matthias Baumgartner presented his paper Aligning Knowledge Base and Document Embedding Models Using Regularized Multi-Task Learning at the main conference. The paper presents an approach to jointly learn two different embeddings (i.e., representations) that can be used to solve tasks both within each of the domains as well as when alining two domains.

Matthias Baumgartner giving his presentation

There is more DDIS @ ISWC to come, when Tobias Grubenmann presents his demo Make restaurants pay your server bills and Daniele Dell’Aglio’s co-authored papers get presented. But more on that tomorrow evening,

The paper presents an approach based on bayesian optimization that automatically tunes the myriad of parameters that a distributed stream processing system exposes. The paper will soon be available on our publication page.