Abstract
Understanding the differences underlying the scope, usage and content of language data requires the provision of a clarifying terminological basis which is integrated in the metadata describing a particular language resource. While terminological resources such as the SIL Glossary of Linguistic Terms, ISOcat or the GOLD ontology provide a considerable amount of linguistic terms, their practical usage is limited to a look up of a defined term whose relation to other terms is unspecified or insufficient. Therefore, in this paper we propose an ontology for linguistic terminology, called OnLiT. It is a data model which can be used to represent linguistic terms and concepts in a semantically interrelated data structure and, thus, overcomes prevalent isolating definition-based term descriptions. OnLiT is based on the LiDo Glossary of Linguistic Terms and enables the creation of RDF datasets, that represent linguistic terms and their meanings within the whole or a subdomain of linguistics.
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Notes
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A browseable version of the database is available at: http://linguistik.uni-regensburg.de:8080/lido/Lido.
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Christian Lehmann is the data owner of LiDo and permitted to derive the OnLiT data model from it.
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It has to be mentioned that LiDo encompasses also bibliographical data that is referenced to the terms. This bibliographic part of the dataset is, however, not focus of this paper and, hence, not further discussed.
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This database is used to render the LiDo Website but not publicly available. The database was used in order to conduct the presented research.
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In case of unavailability: https://github.com/AKSW/lido2rdf/blob/master/OnLiT.owl.
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In the LiDo database Latin expressions are used to a large extent to denominate the concept entries.
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This allows, for instance, to integrate the Term entries homonymous and govern and relate them to homonymy and government.
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For better comprehensibility the standard English Term instances corresponding to the given Concept instances are given in brackets.
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Acknowledgements
This paper’s research activities were partly supported and funded by grants from the EU’s H2020 Programme ALIGNED (GA 644055) and the Federal Ministry for Economic Affairs and Energy of Germany (BMWi) for the SmartDataWeb Project (GA-01MD15010B).
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Klimek, B., McCrae, J.P., Lehmann, C., Chiarcos, C., Hellmann, S. (2017). OnLiT: An Ontology for Linguistic Terminology. In: Gracia, J., Bond, F., McCrae, J., Buitelaar, P., Chiarcos, C., Hellmann, S. (eds) Language, Data, and Knowledge. LDK 2017. Lecture Notes in Computer Science(), vol 10318. Springer, Cham. https://doi.org/10.1007/978-3-319-59888-8_4
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