Rehm, G., Galanis, D., Labropoulou, P. et al. (21 more authors) (2020) Towards an interoperable ecosystem of AI and LT platforms : a roadmap for the implementation of different levels of interoperability. In: Rehm, G., Bontcheva, K., Choukri, K., Hajič, J., Piperidis, S. and Vasiļjevs, A., (eds.) Proceedings of the 1st International Workshop on Language Technology Platforms. IWLTP 2020 – 1st International Workshop on Language Technology Platforms, 11-16 May 2020, Marseille, France. Association for Computational Linguistics (ACL) , pp. 96-107. ISBN 97910-95546641
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.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Editors: |
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Copyright, Publisher and Additional Information: | © 2020 European Language Resources Association (ELRA), licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/). |
Keywords: | LR Infrastructures and Architectures; LR National/International Projects; Tools; Systems; Applications; Web Services |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield) |
Funding Information: | Funder Grant number European Commission - HORIZON 2020 825627 |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 27 Aug 2021 11:25 |
Last Modified: | 27 Aug 2021 11:25 |
Published Version: | https://aclanthology.org/2020.iwltp-1.15 |
Status: | Published |
Publisher: | Association for Computational Linguistics (ACL) |
Refereed: | Yes |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:177507 |