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Ligt: An LLOD-Native Vocabulary for Representing Interlinear Glossed Text as RDFстатья
Информация о цитировании статьи получена из
Scopus
Дата последнего поиска статьи во внешних источниках: 4 мая 2020 г.
- Авторы: Chiarcos Christian, Ionov Maxim
- Сборник: 2nd Conference on Language, Data and Knowledge (LDK 2019)
- Серия: OpenAccess Series in Informatics (OASIcs)
- Том: 70
- Год издания: 2019
- Место издания: Schloss Dagstuhl–Leibniz-Zentrum fuer Informatik Dagstuhl, Germany
- Первая страница: 3:1
- Последняя страница: 3:15
- DOI: 10.4230/OASIcs.LDK.2019.3
- Аннотация: The paper introduces Ligt, a native RDF vocabulary for representing linguistic examples as text with interlinear glosses (IGT) in a linked data formalism. Interlinear glossing is a notation used in various fields of linguistics to provide readers with a way to understand linguistic phenomena and to provide corpus data when documenting endangered languages. This data is usually provided with morpheme-by-morpheme correspondence which is not supported by any established vocabularies for representing linguistic corpora or automated annotations. Interlinear Glossed Text can be stored and exchanged in several formats specifically designed for the purpose, but these differ in their designs and concepts, and they are tied to particular tools, so the reusability of the annotated data is limited. To improve interoperability and reusability, we propose to convert such glosses to a tool-independent representation well-suited for the Web of Data, i.e., a representation in RDF. Beyond establishing structural (format) interoperability by means of a common data representation, our approach also allows using shared vocabularies and terminology repositories available from the (Linguistic) Linked Open Data cloud. We describe the core vocabulary and the converters that use this vocabulary to convert IGT in a format of various widely-used tools into RDF. Ultimately, a Linked Data representation will facilitate the accessibility of language data from less-resourced language varieties within the (Linguistic) Linked Open Data cloud, as well as enable novel ways to access and integrate this information with (L)LOD dictionary data and other types of lexical-semantic resources. In a longer perspective, data currently only available through these formats will become more visible and reusable and contribute to the development of a truly multilingual (semantic) web. В этой статье мы представляем Ligt, RDF модель для представления глоссированных текстов и элицитаций в формализме Linked Data. Глоссированная запись текстов и отдельных предложений облегчают работу с ними для исследователей, в особенности при работе с малыми языками. Существует множество (зачастую не стандартизованных) форматов для их записи и хранения, что усложняет их повторное использование. Для решения этой проблемы мы представляем модель для их записи и хранения в формализме Linked Data.
- Добавил в систему: Ионов Максим Игоревич