The industrial partners Mercateo, chemmedia and deecoob, together with the TU Dresden, 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 developed from research and development and implemented in the form of demonstrators.

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In order to control and enforce copyrights and exploitation rights at commercial music events, a wide variety of sources (social media, ePapers, portals, websites …) must be searched, extracted and classified according to their relevance to the respective legal claims. This is still a highly manual and thus cost-intensive and at the same time error-prone process, in which automated text retrieval can currently only form a preliminary stage of document classification and evaluation. According to the current state of the art, conventional methods of text mining such as bag-of-words, tf-idf or NLP methods in the above-described application domain provide only insufficient results if the outlined method is to be fully automated. The developed solution is based on two technologies, which were developed independently from each other in the two subprojects. In their combination they will constitute the functional, vector space-based retrieval and classification system at the end of the project with which the manual work described above can be automated as far as possible. COURSE OF THE PROJECT

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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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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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