Project

FI-NEXT

Bringing FIWARE to the NEXT Step

  • Duration:

Digital technologies underpin innovation and competitiveness across a broad range of market sectors. A key technology to boost such innovation and competitiveness is represented by the full and wide adoption of Open Service Platforms. In fact, they will allow increased competition and market penetration because they should be built on top of royalty-free open specifications, adopting open source reference implementations, and s such allowed to be offered by multiple vendors. The Seventh Framework Programme for Research and Technology Development (FP7) has developed the FIWARE platform which has demonstrated its potential of becoming a service platform of choice, with proven potential for usage by SMEs and startups. This rises to the extent that four main ICT players in Europe with global ambition have put FIWARE in their strategy for market development. More than that, those four players announced the creation of an open to all legal entity, the FIWARE Foundation, to have more stakeholders driving the evolution of FIWARE. Well in this scope, the aim of the FI-NEXT project is to put in place all the measures necessary in order to make FIWARE materializing such a potential. This will achieved pursuing the following objectives: a) bringing FIWARE from an European Open Source project to a global Open Source Community, b) ensuring FIWARE meets the highest quality standards and best technical support, c) positioning FIWARE as the de facto standard for the development of smart applications, and d) ensuring FIWARE Lab to be a self-sustainable environment.

Within this project, DFKI will focus on the Linked-Data as an upcoming mechanism for more capable and universal APIs and explore this technology for easy design and deployment of distributed applications in the context of FIWARE. This work is based on research within the German ARVIDA project as well as extending work on the novel Synchronization GE (FiVES) and related work within the WebUI chapter of FIWARE. The goal is to make it easy to develop vertical, end-to-end application that go all the way from IoT sensors to interactive visualization in apps including the design and deployment of the necessary service infrastructure. DFKI also plans to continue engaging as leader and architect for the WebUI chapter and co-chair for the Technical Committee, depending on election results within the open Source community.

Partners

TELEFONICA INVESTIGACION Y DESARROLLO SA - FIWARE Foundation - ATOS SPAIN SA - ENGINEERING INGEGNERIA INFORMATICA SPA - ORANGE SA - TIKAL TECHNOLOGIES SL - MARTEL GMBH - CENTER FOR RESEARCH AND TELECOMMUNICATION EXPERIMENTATION FOR NETWORKED COMMUNITIES - ASSOCIATION IMAGES & RESEAUX - ZUERCHER HOCHSCHULE FUER ANGEWANDTE WISSENSCHAFTEN - DFKI GmbH - UNIVERSIDAD POLITECNICA DE MADRID - FRAUNHOFER GESELLSCHAFT ZUR FOERDERUNG DER ANGEWANDTEN FORSCHUNG E.V. - GRASSROOTS ARTS AND RESEARCH UG - INSTITUTO TECNOLOGICO Y DE ESTUDIOS SUPERIORES DE MONTERREY - CENTRO DE INVESTIGACION E INNOVACION EN TECNOLOGIAS DE LA INFORMACION Y COMUNICACION

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Publications about the project

Michael Guldner, Torsten Spieldenner, René Schubotz

In: Proceedings of the 2018 Global Internet of Things Summit. Global Internet of Things Summit (GIoTS-2018) June 4-7 Bilbao Spain IEEE Communications Society 2018.

To the publication
Torsten Spieldenner, René Schubotz, Michael Guldner

In: Proceedings of the International Workshop on Semantic Web of Things for Industry 4.0. Extended Semantic Web Conference (ESWC-2018) International Workshop on Semantic Web of Things for Industry 4.0 located at 15th ESWC Conference 2018 June 3-7 Heraklion Crete Greece Springer 2018.

To the publication
Torsten Spieldenner, René Schubotz, Michael Guldner

In: Proceedings of the 2018 Global Internet of Things Summit. Global Internet of Things Summit (GIoTS-2018) June 4-7 Bilbao Spain IEEE Communications Society New York, USA 2018.

To the publication

German Research Center for Artificial Intelligence
Deutsches Forschungszentrum für Künstliche Intelligenz