Abstract
This chapter introduces the Linguistic Linked Open Data (LLOD) Cloud. In recent years, there has been increasing interest in publishing linguistic datasets following linked data principles. A number of community-driven activities, foremost organized by the Open Linguistics Working Group (OWLG), have fostered and supported the publication of open linguistic datasets and have defined criteria for when a dataset can be regarded as forming part of the so-called LLOD. The LLOD cloud represents an index and temporal snapshot of the linguistic datasets that have been published on the Web following Linked Open Data principles. The LLOD cloud is a result of a coordinated effort of the OWLG, its members and collaborating initiatives, most notably the W3C Ontology-Lexica Community Group (OntoLex), which focuses on modelling lexico-semantic resources as linked data. The LLOD cloud is visualized by means of a cloud diagram that displays all the resources with their relative sizes and their connections. In this chapter we describe the efforts by many community activities and groups that have fostered the creation of the Linguistic Linked Open Data Cloud. We also describe the methodologies and principles that allow anyone to publish a dataset that can be included in the Linguistic Linked Open Data Cloud.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
J. Greenberg, A quantitative approach to the morphological typology of languages. Int. J. Am. Linguist. 26, 178 (1960)
W.N. Francis, H. Kucera, Brown Corpus manual. Technical Report, Brown University, Providence, Rhode Island (1964). Revised edition 1979
W. Morris (ed.), The American Heritage Dictionary of the English Language (Houghton Mifflin, New York, 1969)
N. Ide, J. Pustejovsky, What does interoperability mean, anyway? Toward an operational definition of interoperability, in Proceedings of the 2nd International Conference on Global Interoperability for Language Resources (ICGL), Hong Kong, 2010
C. Chiarcos, J. McCrae, P. Cimiano, C. Fellbaum, Towards open data for linguistics: lexical linked data, in New Trends of Research in Ontologies and Lexical Resources (Springer, Berlin, 2013), pp. 7–25
A. Burchardt, S. Padó, D. Spohr, A. Frank, U. Heid, Formalising multi-layer corpora in OWL/DL – lexicon modelling, querying and consistency control, in Proceedings of the 3rd International Joint Conference on NLP (IJCNLP), Hyderabad, 2008, pp. 389–396
S. Cassidy, An RDF realisation of LAF in the DaDa annotation server, in Proceedings of the 5th Joint ISO-ACL/SIGSEM Workshop on Interoperable Semantic Annotation (ISA-5), Hong Kong, 2010
A. Gangemi, R. Navigli, P. Velardi, The OntoWordNet Project: extension and axiomatization of conceptual relations in WordNet, in On the Move to Meaningful Internet Systems 2003: CoopIS, DOA, and ODBASE (Springer, Berlin, 2003), pp. 820–838
J.P. McCrae, C. Chiarcos, F. Bond, P. Cimiano, T. Declerck, G. de Melo, J. Gracia, S. Hellmann, B. Klimek, S. Moran, P. Osenova, A. Pareja-Lora, J. Pool, The Open Linguistics Working Group: developing the Linguistic Linked Open Data cloud, in Proceedings of the 10th Language Resource and Evaluation Conference (LREC) (2016)
J. Bosque-Gil, J. Gracia, E. Montiel-Ponsoda, A. Gómez-Pérez, Models to represent linguistic linked data. Nat. Lang. Eng. 24(6) (2018), https://doi.org/10.1017/S1351324918000347
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this chapter
Cite this chapter
Cimiano, P., Chiarcos, C., McCrae, J.P., Gracia, J. (2020). Linguistic Linked Open Data Cloud. In: Linguistic Linked Data. Springer, Cham. https://doi.org/10.1007/978-3-030-30225-2_3
Download citation
DOI: https://doi.org/10.1007/978-3-030-30225-2_3
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-30224-5
Online ISBN: 978-3-030-30225-2
eBook Packages: Computer ScienceComputer Science (R0)