{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/towards-an-interoperable-ecosystem-of-ai-and","title":"Towards an Interoperable Ecosystem of AI and LT Platforms: A Roadmap for the Implementation of Different Levels of Interoperability","arxiv_id":"2004.08355","date":"2020-04-17","proceeding":"LREC 2020 5","authors":["Georg Rehm","Dimitrios Galanis","Penny Labropoulou","Stelios Piperidis","Martin Welß","Ricardo Usbeck","Joachim köhler","Miltos Deligiannis","Katerina Gkirtzou","Johannes Fischer","Christian Chiarcos","Nils Feldhus","Julián Moreno-Schneider","Florian Kintzel","Elena Montiel","Víctor Rodríguez Doncel","John P. McCrae","David Laqua","Irina Patricia Theile","Christian Dittmar","Kalina Bontcheva","Ian Roberts","Andrejs Vasiljevs","Andis Lagzdiņš"],"abstract":"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.","url_abs":"https://arxiv.org/abs/2004.08355v1","url_pdf":"https://arxiv.org/pdf/2004.08355v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"towards-an-interoperable-ecosystem-of-ai-and","repo_url":"https://github.com/nfelnlp/nfelnlp","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok"}}],"tasks":[],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}