@inproceedings{ehrmann-etal-2014-representing,
title = "Representing Multilingual Data as Linked Data: the Case of {B}abel{N}et 2.0",
author = "Ehrmann, Maud and
Cecconi, Francesco and
Vannella, Daniele and
McCrae, John Philip and
Cimiano, Philipp and
Navigli, Roberto",
editor = "Calzolari, Nicoletta and
Choukri, Khalid and
Declerck, Thierry and
Loftsson, Hrafn and
Maegaard, Bente and
Mariani, Joseph and
Moreno, Asuncion and
Odijk, Jan and
Piperidis, Stelios",
booktitle = "Proceedings of the Ninth International Conference on Language Resources and Evaluation ({LREC}'14)",
month = may,
year = "2014",
address = "Reykjavik, Iceland",
publisher = "European Language Resources Association (ELRA)",
url = "http://www.lrec-conf.org/proceedings/lrec2014/pdf/810_Paper.pdf",
pages = "401--408",
abstract = "Recent years have witnessed a surge in the amount of semantic information published on the Web. Indeed, the Web of Data, a subset of the Semantic Web, has been increasing steadily in both volume and variety, transforming the Web into a {`}global database{'} in which resources are linked across sites. Linguistic fields {--} in a broad sense {--} have not been left behind, and we observe a similar trend with the growth of linguistic data collections on the so-called {`}Linguistic Linked Open Data (LLOD) cloud{'}. While both Semantic Web and Natural Language Processing communities can obviously take advantage of this growing and distributed linguistic knowledge base, they are today faced with a new challenge, i.e., that of facilitating multilingual access to the Web of data. In this paper we present the publication of BabelNet 2.0, a wide-coverage multilingual encyclopedic dictionary and ontology, as Linked Data. The conversion made use of lemon, a lexicon model for ontologies particularly well-suited for this enterprise. The result is an interlinked multilingual (lexical) resource which can not only be accessed on the LOD, but also be used to enrich existing datasets with linguistic information, or to support the process of mapping datasets across languages.",
}
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%0 Conference Proceedings
%T Representing Multilingual Data as Linked Data: the Case of BabelNet 2.0
%A Ehrmann, Maud
%A Cecconi, Francesco
%A Vannella, Daniele
%A McCrae, John Philip
%A Cimiano, Philipp
%A Navigli, Roberto
%Y Calzolari, Nicoletta
%Y Choukri, Khalid
%Y Declerck, Thierry
%Y Loftsson, Hrafn
%Y Maegaard, Bente
%Y Mariani, Joseph
%Y Moreno, Asuncion
%Y Odijk, Jan
%Y Piperidis, Stelios
%S Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC’14)
%D 2014
%8 May
%I European Language Resources Association (ELRA)
%C Reykjavik, Iceland
%F ehrmann-etal-2014-representing
%X Recent years have witnessed a surge in the amount of semantic information published on the Web. Indeed, the Web of Data, a subset of the Semantic Web, has been increasing steadily in both volume and variety, transforming the Web into a ‘global database’ in which resources are linked across sites. Linguistic fields – in a broad sense – have not been left behind, and we observe a similar trend with the growth of linguistic data collections on the so-called ‘Linguistic Linked Open Data (LLOD) cloud’. While both Semantic Web and Natural Language Processing communities can obviously take advantage of this growing and distributed linguistic knowledge base, they are today faced with a new challenge, i.e., that of facilitating multilingual access to the Web of data. In this paper we present the publication of BabelNet 2.0, a wide-coverage multilingual encyclopedic dictionary and ontology, as Linked Data. The conversion made use of lemon, a lexicon model for ontologies particularly well-suited for this enterprise. The result is an interlinked multilingual (lexical) resource which can not only be accessed on the LOD, but also be used to enrich existing datasets with linguistic information, or to support the process of mapping datasets across languages.
%U http://www.lrec-conf.org/proceedings/lrec2014/pdf/810_Paper.pdf
%P 401-408
Markdown (Informal)
[Representing Multilingual Data as Linked Data: the Case of BabelNet 2.0](http://www.lrec-conf.org/proceedings/lrec2014/pdf/810_Paper.pdf) (Ehrmann et al., LREC 2014)
ACL
- Maud Ehrmann, Francesco Cecconi, Daniele Vannella, John Philip McCrae, Philipp Cimiano, and Roberto Navigli. 2014. Representing Multilingual Data as Linked Data: the Case of BabelNet 2.0. In Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14), pages 401–408, Reykjavik, Iceland. European Language Resources Association (ELRA).