Papers with OntoLex-Lemon

4 papers
An Integrated Formal Representation for Terminological and Lexical Data included in Classification Schemes (L18-1)

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Challenge: e-lexicography is a field of study dealing with the automated creation of specialized multilingual dictionaries from structured data.
Approach: They propose to use a SKOS-XL vocabulary for modelling the multilingual terminological part of comparable taxonomies and OntoLex-Lemon for modelling multilingual lexical entries.
Outcome: The proposed model can be explicitly cross-linked in the context of the Linguistic Linked Open Data (LLOD).
Modelling Frequency, Attestation, and Corpus-Based Information with OntoLex-FrAC (2022.coling-1)

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Challenge: OntoLex-Lemon has become a de facto standard for lexical resources in the web of data.
Approach: This paper provides the first overall description of the emerging OntoLex module for Frequency, Attestations, and Corpus-Based Information.
Outcome: This paper provides the first overall description of the emerging OntoLex module for Frequency, Attestations, and Corpus-Based Information (OntoLx-FrAC) it is intended to complement OntoLemon with the vocabulary to represent major types of information found in or automatically derived from corpora, for applications in both language technology and the language sciences.
Towards a new Ontology for Sign Languages (2022.lrec-1)

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Challenge: Linked Data (LD) compliant datasets for sign languages are not available in the LLOD cloud.
Approach: They propose to create an ontology for representing constitutive elements of Sign Languages (SL) they propose to publish such data in the Linguistic Linked Open Data cloud.
Outcome: The proposed ontology can be used to represent sign languages in the Linguistic Linked Open Data cloud.
Editing OntoLex-Lemon in VocBench 3 (2020.lrec-1)

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Challenge: OntoLex-Lemon is a collection of RDF vocabularies for specifying the verbalization of ontologies in natural language.
Approach: They propose to extend existing RDF editor to OntoLex-Lemon to provide more direct editing . they propose to use a model that allows for the verbalization of ontologies in natural language .
Outcome: The proposed editor improves the ontology-lexicon interface and improves its flexibility.

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