Towards an Interoperable Ecosystem of AI and LT Platforms: A Roadmap for the Implementation of Different Levels of Interoperability
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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.
Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). First posted on arXiv 17 Apr 2020.
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Citing papers per year: 2022: 1; 2023: 0; 2024: 2; 2025: 1.
4 papers.
- 2025From Multi-Agent Systems and the Semantic Web to Agentic AI: A Unified Narrative of the Web of Agentscited by 7
- 2022The Ethical Risks of Analyzing Crisis Events on Social Media with Machine Learningcited by 0
- 2024From LIMA to DeepLIMA: following a new path of interoperabilitycited by 0
- 2024RELATE: A Modern Processing Platform for Romanian Languagecited by 0
- 2025From Multi-Agent Systems and the Semantic Web to Agentic AI: A Unified Narrative of the Web of Agents14 Jul 2025
- 2024RELATE: A Modern Processing Platform for Romanian Language29 Oct 2024
- 2024From LIMA to DeepLIMA: following a new path of interoperability10 Sep 2024
- 2022The Ethical Risks of Analyzing Crisis Events on Social Media with Machine Learning7 Oct 2022