Beuth Hochschule für Technik Berlin

Database Systems and Text-based Information Systems (DATEXIS)
 
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What We Do

The task of mining the Web for analytical insights is still too complex for the average user. Our research aims at simplifying this task. We focus on three research areas:

  • In-Database Analytics: How do we explore information beyond a simple Google lookup search? Can we leverage transactions from thousands of humans for on-the-fly domain adaption of information extraction algorithms?  Can we execute these algorithms in a RDBMS that already holds domain and context data? (See project INDREX)

  • Explorative Analytics and Data Veracity: Who is always the first? And who removes valuable information? Can we trace back the origin of information on the Web? Which data manipulation operations are executed by whom and for which purpose? (See project GoOLAP)

  • Data Value Chains and Data Markets: Can we measure the value of data and of data associated services? What happens if we can observe only a single or very few transactions on the market? How can we construct feedback loops that will enhance data value? (See BMWi project Smart Data Web)

 

 

 

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