We describe challenges in and approaches for modelling multiword expressions in machine-readable dictionaries. OntoLex is a widely used community standard for lexical resources on the web, and the predominant RDF vocabulary for the purpose. The current challenge is for OntoLex users to figure out the correct modelling strategy, as different use cases require the application of different OntoLex modules. This chapter serves as an orientation point for researchers and practitioners, and for a number of real-world use cases it will describe modelling strategies and compare their advantages and disadvantages.

Multiword expressions, collocations and the OntoLex vocabulary

Anas Fahad Khan;
2024

Abstract

We describe challenges in and approaches for modelling multiword expressions in machine-readable dictionaries. OntoLex is a widely used community standard for lexical resources on the web, and the predominant RDF vocabulary for the purpose. The current challenge is for OntoLex users to figure out the correct modelling strategy, as different use cases require the application of different OntoLex modules. This chapter serves as an orientation point for researchers and practitioners, and for a number of real-world use cases it will describe modelling strategies and compare their advantages and disadvantages.
Campo DC Valore Lingua
dc.authority.orgunit Istituto di linguistica computazionale "Antonio Zampolli" - ILC en
dc.authority.people Christian Chiarcos en
dc.authority.people Maxim Ionov en
dc.authority.people Elena-Simona Apostol en
dc.authority.people Katerina Gkirtzou en
dc.authority.people Besim Kabashi en
dc.authority.people Anas Fahad Khan en
dc.authority.people Ciprian-Octavian Truică en
dc.collection.id.s 8c50ea44-be95-498f-946e-7bb5bd666b7c *
dc.collection.name 02.01 Contributo in volume (Capitolo o Saggio) *
dc.contributor.appartenenza Istituto di linguistica computazionale "Antonio Zampolli" - ILC *
dc.contributor.appartenenza.mi 918 *
dc.contributor.area Non assegn *
dc.date.accessioned 2025/01/27 14:53:26 -
dc.date.available 2025/01/27 14:53:26 -
dc.date.firstsubmission 2025/01/27 11:04:36 *
dc.date.issued 2024 -
dc.date.submission 2025/02/27 17:11:38 *
dc.description.abstracteng We describe challenges in and approaches for modelling multiword expressions in machine-readable dictionaries. OntoLex is a widely used community standard for lexical resources on the web, and the predominant RDF vocabulary for the purpose. The current challenge is for OntoLex users to figure out the correct modelling strategy, as different use cases require the application of different OntoLex modules. This chapter serves as an orientation point for researchers and practitioners, and for a number of real-world use cases it will describe modelling strategies and compare their advantages and disadvantages. -
dc.description.allpeople Chiarcos, Christian; Ionov, Maxim; Apostol, Elena-Simona; Gkirtzou, Katerina; Kabashi, Besim; Khan, ANAS FAHAD ASLAM; Truică, Ciprian-Octavian -
dc.description.allpeopleoriginal Christian Chiarcos, Maxim Ionov, Elena-Simona Apostol, Katerina Gkirtzou, Besim Kabashi, Anas Fahad Khan, Ciprian-Octavian Truică en
dc.description.fulltext open en
dc.description.numberofauthors 7 -
dc.identifier.doi 10.5281/zenodo.10949960 en
dc.identifier.isbn 978-3-98554-099-0 en
dc.identifier.source manual *
dc.identifier.uri https://hdl.handle.net/20.500.14243/530981 -
dc.language.iso eng en
dc.relation.allauthors Christian Chiarcos, Maxim Ionov, Elena-Simona Apostol, Katerina Gkirtzou, Besim Kabashi, Anas Fahad Khan, Ciprian-Octavian Truică en
dc.relation.ispartofbook Multiword expressions in lexical resources: Linguistic, lexicographic, and computational perspectives. en
dc.subject.keywords ontolex, linked data, multword expressions -
dc.subject.singlekeyword ontolex *
dc.subject.singlekeyword linked data *
dc.subject.singlekeyword multword expressions *
dc.title Multiword expressions, collocations and the OntoLex vocabulary en
dc.type.driver info:eu-repo/semantics/bookPart -
dc.type.full 02 Contributo in Volume::02.01 Contributo in volume (Capitolo o Saggio) it
dc.type.miur 268 -
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Appare nelle tipologie: 02.01 Contributo in volume (Capitolo o Saggio)
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