迈向AI和LT平台的可互操作生态系统：实施不同级别互操作性的路线图

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迈向AI和LT平台的可互操作生态系统：实施不同级别互操作性的路线图

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

论文作者

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

论文摘要

关于AI/LT平台互操作性的更广泛领域，我们集中于两个核心方面：（1）跨平台搜索和资源和服务的发现；（2）跨平台服务工作流的组成。我们设计了平台互操作性的五个不同级别（增加的复杂性），我们建议在更广泛的AI/LT平台联合会中实施。我们使用五个新出现的AI/LT平台AI4EU，ELG，LYNX，QURATOR和扬声器说明了这种方法。

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.

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