D3.2 Research Challenge Report v2
Christian Fäth, Christian Chiarcos, Jorge Gracia, Julia Bosque-Gil, Bernardo Stearns, John Philip McCrae, Fernando Bobillo, Philipp Cimiano, Thierry Declerck, Mohammad Fazleh Elahi, Basil Ell, Julian Grosse, Matthias Härtung, Marta Lanau-Coronas, Patricia Martín-Chozas, Elena Montiel-Ponsoda · Zenodo (CERN European Organization for Nuclear Research) · 2020
WP3 three research challenges are tackled by three respective tasks, each responsible for one software component: ● Task 3.1 , Prêt-à-LLOD Transform addresses the challenge of “ Transforming language resources and language data ”. Methodologies are developed for the transformation of language resources and language data into LLOD representations. ● Task 3.2 , Prêt-à-LLOD Link addresses the challenge of “ Linking conceptual and lexical data for language services ” . Novel (semi-)automatic methods are studied that aim at establishing links across multilingual LLOD datasets and models. ● Task 3.3 , Prêt-à-LLOD Workflows addresses the challenge to create “ Workflows for Portable and Scalable Semantic Language Services ” . A protocol, based on semantic markup, is developed to enable language services to be easily connected into multi-server workflows. The primary software component for data transformation is Fintan (Section 2.2), the Flexible Integrated Transformation and Annotation eNgineering platform. It allows to integrate RDF converters for various input formats and combine them with stream-based graph transformation for building complex transformation pipelines. For establishing complex links between multilingual resources at the conceptual level, lexical level, or between the conceptual and lexical levels (lexicalisation), we provide a set of services which we aim to deploy through the Naisc platform currently developed in the context of Task 3.2, as well as through a lexicalisation component (Section 3.3). We furthermore introduce Teanga (Section 4) as our primary workflow management tool for NLP services.