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

Autor:	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
Rok vydání:	2020
Předmět:	Computer Science - Computation and Language Computer Science - Artificial Intelligence
Druh dokumentu:	Working Paper
Popis:	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. Comment: Proceedings of the 1st International Workshop on Language Technology Platforms (IWLTP 2020). To appear
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2004.08355 Zobrazit plný text záznamu View this record from Arxiv