Big Data and Semantic Web

In recent years the necessity of analysis of huge amount of data has gained increasing attention of researchers and practitioners. A term big data was coined and has started to appear in many different domains including retail, banking, insurance, health, and education. Smart cities may use big data to improve planning and create better services for their citizens. The use of semantics may help utilization of big data.The purpose of this track is to gather researchers and practitioners who are dealing with solving real life issues with support of semantics and big data analysis. Special attention will be paid to applications of semantics and big data in intelligent cities design.Topics of interests include, but are not limited to:


Track Chair: Prof. Lasse Berntzen and Dr. Grażyna Paliwoda-Pękosz