Prof. Dr. Matthias Hagen (BHU Weimar) · The major big data challenge: Finding good questions ... and answering them!

MatthiasHagenWhen some new big data source is available---being it open data or within some organization---, at least two problems arise. On the one hand, the management and the efficient processing of the data itself might be far from trivial. On the other hand, the often even more difficult challenge is to come up with innovative questions that can be answered using the data and that turn it into so-called "smart data" or "actionable knowledge."

After introducing my view on the big data analytics landscape, the talk will focus on a practical scenario demonstrating the wide range of questions that could be answered with some single data source. Given all the frequencies of all the billions of phrases on the web, the task is to identify innovative "questions" that can be answered using such frequencies---and of course, to develop the respective algorithmic solutions. I will cover some use cases we have identified and tools we have build, ranging from writing assistance with Netspeak [netspeak.org], over applying AI heuristics for text paraphrasing, to understanding queries submitted to some web search engine.

Kurzbiographie

Matthias Hagen ist Juniorprofessor und Leiter der Nachwuchsforschergruppe "Big Data Analytics" an der Bauhaus-Universität Weimar. Die Gruppe forscht im Bereich der Algorithmen- und Methodenentwicklung für Retrieval, Mining und Visualisierung im Zusammenhang mit Big Data.

Matthias Hagen hat an der Friedrich-Schiller-Universität Jena in theoretischer Informatik promoviert und war Leiter der Nachwuchsforschergruppe "Intelligentes Lernen" an der Bauhaus-Universität Weimar. Seine aktuellen Forschungsinteressen beinhalten Information Retrieval und Websuche, Web Mining, Crowdsourcing, Argumentation Mining und die Simulation menschlichen Verhaltens.

 

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