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

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 interop...

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Hauptverfasser:	Rehm, Georg, Galanis, Dimitrios, Labropoulou, Penny, Piperidis, Stelios, Welß, Martin, Usbeck, Ricardo, Köhler, Joachim, Deligiannis, Miltos, Gkirtzou, Katerina, Fischer, Johannes, Chiarcos, Christian, Feldhus, Nils, Moreno-Schneider, Julián, Kintzel, Florian, Montiel, Elena, Doncel, Víctor Rodríguez, McCrae, John P, Laqua, David, Theile, Irina Patricia, Dittmar, Christian, Bontcheva, Kalina, Roberts, Ian, Vasiljevs, Andrejs, Lagzdiņš, Andis
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Artificial Intelligence Computer Science - Computation and Language
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Zusammenfassung:	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.
DOI:	10.48550/arxiv.2004.08355