In December 2019 we startet our new research project – HUBBLE – HUman Behaviour-Based explainable machine LEarning. The target of this project is to research and implement new methods and technologies for machine learning based text EXTRACTION from digital sources (websites, social media etc.) and – based on this – a multilingual text CLASSIFICATION to categorize the extracted content. Both developments will be very important new features for MESLIS – our business application for global collecting societies.

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This week –  from 20 to  25 October 2019 – Mandy Keck and Thomas Gründer from Technische Universität Dresden represent the VANDA team in Vancouver and participate at the international IEEE VIS conference, which is the worldwide largest and most important conference on Information Visualization, Visual Analytics and Scientific Visualization.  The conference started on Sunday with many interesting and inspiring keynotes, talks and tutorials, such as Explainable AI, Visual Design and Analysis, and Visualizations for Machine Learning.

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From 2017 until end of August 2019 deecoob was successfully working on the research project “RECAM”. This was a cooperation project between deecoob Technology GmbH and the Forensic Sience Investigation Lab at the University of Applied Sciences Mittweida (HSMW). The abbreviation “RECAM” stands for retrospektive event monitoring for computer forensic enlightenment of copyright misuse on the basis of publicly available digital media. The goal was to develop a technology for automated, computer-forensic investigation of use and misuse of copyrights at music events. The application uses web crawlers and full-text indexers and provides interfaces with Facebook, Instagram, Twitter, epaper, and Web pages. The purpose is to analyze, process, and qualify textual data from publicly available sources.

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The industrial partners Mercateo AG, chemmedia AG and deecoob Technology GmbH, together with the Technische Universität Dresden (TUD), worked on the joint R&D project “Visual Analytics Interfaces for Big Data Environments – VANDA” in the period 2016 to 2019. The aim of this project was to address the so-called four “V´s” – Volume, Velocity, Variety and Veracity – as the challenge of Big Data driven interfaces and applications. The research work was carried out both in the backend area, i.e. the efficient processing of Big Data, and in the frontend, i.e. the intuitive visualization of Big Data. In the course of the project, best practice solutions for visualization and backend processes were researched, developed and implemented in the form of demonstrators.

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In June 2019 we presented our research results at OUTPUT.DD and the 50 Years of university computer science education in Dresden celebration. OUTPUT.DD is the project presentation of the Faculty of Computer Science of the Technische Universität Dresden where research results are presented to the general public once a year.

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Together with our partner we are currently working on the research project “RECAM”. This is a cooperation project between deecoob Technology GmbH and the Forensic Sience Investigation Lab at the University of Applied Sciences Mittweida, Germany. The abbreviation “RECAM” stands for retrospektive event monitoring for computer forensic enlightenment of copyright misuse on the basis of publicly available digital media. Our university partner has recently published a paper for the SEMAPRO 2018 conference: The Twelfth International Conference on Advances in Semantic Processing. The paper highlights some important results from the research project.

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The VANDA team seized the opportunity to present the current research of the project at the 20th installation of the Round Table of Visual Engineering (Runder Tisch der Technischen Visualistik). The event was entitled “Learning in a Sea of Data” and was opened by Prof. Rainer Groh, who looked back on the 19 prior events.

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Together with our partner we have started working on the new research project “RECAM”. This project is a cooperation project between deecoob Technology GmbH and Forensic Sience Investigation Lab at the University of Applied Sciences Mittweida. The abbreviation “RECAM” stands for retrospektive event monitoring for computer forensic enlightenment of copyright misuse on the basis of publicly available digital media.

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Last Thursday, we presented our current research results at OUTPUT.DD in the Faculty of Computer Science – Technische Universität Dresden. Interested visitors could test our glyphboard demonstrator and solve analysis tasks with different glyph visualizations.

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Together with our partners, we started working on our new research project “VANDA Visual and Analytics Interfaces for Big Data Environments”. The goal is to develop big data driven interfaces, which allow efficient access to strongly growing and differently structured data sets. The research work does not only involve processing of large amounts of data (volume) but also entails challenges in quality and speed of data processing.

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