HALA!'s White Paper. Towards Higher Levels of Automation in ATM

• Objectives of HALA! • Main Activities • HALA! Magement Team • Participants • Intended Audience • Heritage in ATM and Automation • The new paradigm shift in Automation in ATM • Overall system performance as main driver for ATM Automation • The three interdependent dimensions for the paradigm change. • New roles assignment based on : • “best time” • “decision place” • “best player” • HALA! main research areas

Short paper: From streaming data to linked data. A case study with bike sharing systems

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.

Demo paper: tablet-based visualization of transportation data in Madrid using SPARQLStream

In this demo paper we describe an iOS-based application that allows visualizing live bus transport data in Madrid from static and streaming RDF endpoints, reusing the Web services provided by the bus transport authority in the city and wrapping them using SPARQLStream