# A Standard-based Open Source IoT Platform: FIWARE

arXiv: https://arxiv.org/abs/2005.02788 · HTML: https://mlsanity.com/paper/2005.02788/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 6 May 2020.

## Built on by (most cited first, 2 of 2)

- [Data-Centric Engineering: integrating simulation, machine learning and statistics. Challenges and Opportunities](https://mlsanity.com/paper/2111.06223/) (2021)
- [Smart City Digital Twin Framework for Real-Time Multi-Data Integration and Wide Public Distribution](https://mlsanity.com/paper/2309.13394/) (2023)

## Abstract (arXiv)

The ever-increasing acceleration of technology evolution in all fields is rapidly changing the architectures of data-driven systems towards the Internet-of-Things concept. Many general and specific-purpose IoT platforms are already available. This article introduces the capabilities of the FIWARE framework that is transitioning from a research to a commercial level. We base our exposition on the analysis of three real-world use cases (global IoT market, analytics in smart cities, and IoT augmented autonomous driving) and their requirements that are addressed with the usage of FIWARE. We highlight the lessons learnt during the design, implementation and deployment phases for each of the use cases and their critical issues. Finally we give two examples showing that FIWARE still maintains openness to innovation: semantics and privacy.