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ZENODO
Other literature type . 2020
License: CC BY
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ZENODO
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D3.2 Research Challenge Report v2

Authors: F��th, Christian; Chiarcos, Christian; Gracia, Jorge; Bosque-Gil, Julia; Stearns, Bernardo; McCrae, John P.; Bobillo, Fernando; +9 Authors

D3.2 Research Challenge Report v2

Abstract

WP3 three research challenges are tackled by three respective tasks, each responsible for one software component: ��� Task 3.1 , Pr��t-��-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 , Pr��t-��-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 , Pr��t-��-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.

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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