# Towards an Interoperable Ecosystem of AI and LT Platforms: A Roadmap for the Implementation of Different Levels of Interoperability

arXiv: https://arxiv.org/abs/2004.08355 · HTML: https://mlsanity.com/paper/2004.08355/

## Key facts

- Cited by 4 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 17 Apr 2020.

## Built on by (most cited first, 4 of 4)

- [From Multi-Agent Systems and the Semantic Web to Agentic AI: A Unified Narrative of the Web of Agents](https://mlsanity.com/paper/2507.10644/) (2025)
- [The Ethical Risks of Analyzing Crisis Events on Social Media with Machine Learning](https://mlsanity.com/paper/2210.03352/) (2022)
- [From LIMA to DeepLIMA: following a new path of interoperability](https://mlsanity.com/paper/2409.06550/) (2024)
- [RELATE: A Modern Processing Platform for Romanian Language](https://mlsanity.com/paper/2410.21778/) (2024)

## Abstract (arXiv)

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.