The evolution of the Internet of Things has created a complex ecosystem populated by various Internet of Things (IoT) platforms that provide access to a broad range of things. These IoT platforms typically promote their specific interfaces and information models, and often adopt non-standard, sometimes fully proprietary, protocols to control a variety of things. This fragmentation and missing interoperability currently prevent the emergence of cooperative IoT ecosystems in which applications can be built to simply use things, or to enable things operated by different platforms to interact.
The 4th Workshop on Interoperability and Open-Source Solutions for the Internet of Things focuses on addressing this challenge, bringing the community of industry players, stakeholders and open source communities. The main objective of this event is to exchange experiences and ideas with the IoT and Data communities as well as contribute to build new knowledge analyzing open issues and identify gaps on interoperability, architectural principles, marketplaces and standardization for future. It will bring the voice of industrial experts providing an environment where attendees (presential or remotely) have the opportunity to explore interoperability solutions stemming from research and innovation projects and showcase practical experiences on interoperable IoT solutions and promote open-source solutions.
The 2021 InterOSS – Interoperability and Open Source Solutions Workshop – InterOSS is a biennial workshop that focuses on providing a fora for exchanging experiences, best practices and ideas for the i3-MARKET and INFINITECH Projects and other Data-related Open Source project communities as well as contributing to build know-how around the yet unsolved issues and gaps around the topics on interoperability, architectural principles and standardisation efforts.
The InterOSS activities promotes open discussions for scientific progress, industrial standards evaluation and showcase practical experiences on interoperable IoT, Big Data and AI applications promoting open-source solutions.
Martin Serrano (National university of Ireland; Insight SFI Research Centre for Data Analytics, Ireland), firstname.lastname@example.org
Achille Zappa (National university of Ireland; Insight SFI Research Centre for Data Analytics, Ireland), email@example.com