Towards an Interoperable Ecosystem of AI and LT Platforms: A Roadmap for the Implementation of Different Levels of Interoperability
This work addresses interoperability challenges for AI and language technology platform developers and users, but it is incremental as it builds on existing concepts without introducing a new paradigm.
The paper tackles the problem of interoperability among AI and language technology platforms by proposing five levels of increasing complexity for cross-platform resource discovery and service workflow composition, illustrating the approach with five emerging platforms.
With regard to the wider area of AI/LT platform interoperability, we concentrate on two core aspects: (1) cross-platform search and discovery of resources and services; (2) composition of cross-platform service workflows. We devise five different levels (of increasing complexity) of platform interoperability that we suggest to implement in a wider federation of AI/LT platforms. We illustrate the approach using the five emerging AI/LT platforms AI4EU, ELG, Lynx, QURATOR and SPEAKER.