From Streaming Data to Linked Data – A Case Study with Bike Sharing Systems

Year: 
2012
Publication Date: 
Monday, 12 November, 2012
Published in: 
5th International Workshop on Semantic Sensor Networks (SSN2012)
Authors: 
Edna Ruckhaus (Universidad Simón Bolívar), Jean-Paul Calbimonte (UPM), Raul García-Castro (UPM), Oscar Corcho (UPM)
Abstract: 

Current methods and tools that support Linked Data publication have mainly focused so far on static data, without considering the growing amount of streaming data available on the Web. In this paper we describe a case study that involves the publication of static and streaming Linked Data for bike sharing systems and related entities. We describe some of the challenges that we have faced, the solutions that we have explored, the lessons that we have learned, and the opportunities that lie in the future for exploiting Linked Stream Data.