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Descripción
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| The main goal of this seminar will be to present the guidelines and mechanisms to ensure the quality and organic growth of the emerging multilingual data network composed by a rising number of linked datasets, with a special focus on those relevant for terminology work. The notion of linked data (LD), as a set of best practices for exposing, sharing, and connecting data on the Web is increasingly gaining ground in many areas such as digital humanities, biomedicine, e-science, data journalism, and also linguistics, among others. The LD paradigm meets the need to link isolated pieces of information which are in their own proprietary formats and hard to discover and integrate. By applying LD techniques, a network of interlinked resources on the Web can be built. The result is a vast graph whose nodes can be practically anything, including lexical units, and this is where terminology comes into play. In their talk the speakers will give an overview of the LD paradigm and its potential for representing linguistic information, and present the Linguistic Linked Open Data (LLOD) cloud initiative. They will cover some models like ontolex-lemon, a de-facto standard to represent lexical information as LD, focusing on the representation of terms, term variants and translations. Finally, they will report on some recent experiences in converting terminological resources (Terminesp, Termcat) and dictionaries (Apertium, KD dictionaries) into LD. | |
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Internacional
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Si |
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Nombre congreso
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INTERNAL TRAINING |
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Entidad organizadora
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EU DGT |
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Nacionalidad Entidad
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Sin nacionalidad |
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Lugar/Ciudad de impartición
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Luxemburgo |
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Fecha inicio
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22/10/2018 |
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Fecha fin
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23/10/2018 |