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Smart Ways To Deal With Big Data

BIG-project member Siemens recently published an article on smart ways to deal with big data.
The article was released shortly before the Christmas Holidays in the December edition of urbanDNA, a magazine for the metropolitan world.The article briefly introduces the BIG project, the work done in BIG and highlights smart ways of  urban applications of big data.
The article is available in the December Issue (No.3) of urbanDNA.
You find further information in big data and the BIG project on our website.

BIG at LSWT2013 - From Big Data to Smart Data - A Summary

The 5th Leipziger Semantic Web Tag (LSWT2013) was organized as a meeting point for german as well as international Linked Data experts.
Under the motto: From Big Data to Smart Data sophisticated methods that enable handling large amounts of data have been presented on September 23th in Leipzig.
The keynote was held by Hans Uszkoreit, scientific director at the German Research Center for Artificial Intelligence (DFKI). By being introduced  to Text Analytics and Big Data issues the participants of the LSWT 2013 discussed the intelligent usage of huge amounts of data in the web.
 
Presentations on industrial and scientific solutions showed working solutions to big data concerns. Companies like Empolis, Brox and Ontos presented Linked Data and Semantic Web solutions capable of handling terabytes of data. However, also traditional approaches, like Datameer’s Data Analytics Solution based on Hadoop pointed out that big data could be handled nowadays without bigger problems.
 
Furthermore, problems detecting topics in massive data streams (Topic/S), document collections (WisARD) or corpora at information service providers (Wolters Kluwer) were tackled. Even the ethical issue of robots replacing journalists by the help of semantic data has been examined by Alexander Siebert from Retresco.
 
In conclusion, the analysis of textual information in large amounts of data is an interesting and so far not yet fully solved area of work. Further Information are available from the website.
 
 Further information on topics related to data analysis, data curation, data storage, data acquisition and data usage can be found in our technical whitepaper available from our project website.

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by Dr. Radut