Ontology population and alignment for the legal domain : YAGO, Wikipedia and LKIF

Autores
Cardellino, Cristian; Teruel, Milagro; Alonso Alemany, Laura; Villata, Serena
Año de publicación
2017
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
Fil: Cardellino, Cristian. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía, Física y Computación; Argentina.
Fil: Teruel, Milagro. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía, Física y Computación; Argentina.
Fil: Alonso Alemany, Laura. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía, Física y Computación; Argentina.
Fil: Villata, Serena. Universite Cote d’Azur; France.
We present a methodology and framework to align ontologies through annotation of texts, and we show how this methodology applies successfully to the legal domain. This method reduces the difficulty of aligning ontologies, because annotators are asked to associate two labels from different inventories to a concrete example, which requires a simple judgment. In a second phase, those correspondences are consolidated into a proper alignment. The resulting alignment is a partial connection between diverse ontologies. By annotating judgments of the European Court of Human Rights, we have aligned an ontology of the legal domain, LKIF, to YAGO, we have thus populated LKIF in order to train a legal Named Entity Recognizer and Classifier with examples from the Wikipedia that are trivially mapped to LKIF classes. The resulting resources and the best practices we defined supported a step towards automation in legal informatics.
http://ceur-ws.org/Vol-1963/paper636.pdf
Fil: Cardellino, Cristian. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía, Física y Computación; Argentina.
Fil: Teruel, Milagro. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía, Física y Computación; Argentina.
Fil: Alonso Alemany, Laura. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía, Física y Computación; Argentina.
Fil: Villata, Serena. Universite Cote d’Azur; France.
Ciencias de la Computación
Materia
Ontology population
Ontology alignment
Nivel de accesibilidad
acceso abierto
Condiciones de uso
Repositorio
Repositorio Digital Universitario (UNC)
Institución
Universidad Nacional de Córdoba
OAI Identificador
oai:rdu.unc.edu.ar:11086/553598
Acceder
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oai_identifier_str oai:rdu.unc.edu.ar:11086/553598
network_acronym_str RDUUNC
repository_id_str 2572
network_name_str Repositorio Digital Universitario (UNC)
spelling Ontology population and alignment for the legal domain : YAGO, Wikipedia and LKIFCardellino, CristianTeruel, MilagroAlonso Alemany, LauraVillata, SerenaOntology populationOntology alignmentFil: Cardellino, Cristian. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía, Física y Computación; Argentina.Fil: Teruel, Milagro. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía, Física y Computación; Argentina.Fil: Alonso Alemany, Laura. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía, Física y Computación; Argentina.Fil: Villata, Serena. Universite Cote d’Azur; France.We present a methodology and framework to align ontologies through annotation of texts, and we show how this methodology applies successfully to the legal domain. This method reduces the difficulty of aligning ontologies, because annotators are asked to associate two labels from different inventories to a concrete example, which requires a simple judgment. In a second phase, those correspondences are consolidated into a proper alignment. The resulting alignment is a partial connection between diverse ontologies. By annotating judgments of the European Court of Human Rights, we have aligned an ontology of the legal domain, LKIF, to YAGO, we have thus populated LKIF in order to train a legal Named Entity Recognizer and Classifier with examples from the Wikipedia that are trivially mapped to LKIF classes. The resulting resources and the best practices we defined supported a step towards automation in legal informatics.http://ceur-ws.org/Vol-1963/paper636.pdfFil: Cardellino, Cristian. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía, Física y Computación; Argentina.Fil: Teruel, Milagro. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía, Física y Computación; Argentina.Fil: Alonso Alemany, Laura. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía, Física y Computación; Argentina.Fil: Villata, Serena. Universite Cote d’Azur; France.Ciencias de la Computación2017info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf1613-0073http://hdl.handle.net/11086/553598https://hal.science/hal-01643665enginfo:eu-repo/semantics/openAccessreponame:Repositorio Digital Universitario (UNC)instname:Universidad Nacional de Córdobainstacron:UNC2025-09-04T12:32:12Zoai:rdu.unc.edu.ar:11086/553598Institucionalhttps://rdu.unc.edu.ar/Universidad públicaNo correspondehttp://rdu.unc.edu.ar/oai/snrdoca.unc@gmail.comArgentinaNo correspondeNo correspondeNo correspondeopendoar:25722025-09-04 12:32:12.946Repositorio Digital Universitario (UNC) - Universidad Nacional de Córdobafalse
dc.title.none.fl_str_mv Ontology population and alignment for the legal domain : YAGO, Wikipedia and LKIF
title Ontology population and alignment for the legal domain : YAGO, Wikipedia and LKIF
spellingShingle Ontology population and alignment for the legal domain : YAGO, Wikipedia and LKIF
Cardellino, Cristian
Ontology population
Ontology alignment
title_short Ontology population and alignment for the legal domain : YAGO, Wikipedia and LKIF
title_full Ontology population and alignment for the legal domain : YAGO, Wikipedia and LKIF
title_fullStr Ontology population and alignment for the legal domain : YAGO, Wikipedia and LKIF
title_full_unstemmed Ontology population and alignment for the legal domain : YAGO, Wikipedia and LKIF
title_sort Ontology population and alignment for the legal domain : YAGO, Wikipedia and LKIF
dc.creator.none.fl_str_mv Cardellino, Cristian
Teruel, Milagro
Alonso Alemany, Laura
Villata, Serena
author Cardellino, Cristian
author_facet Cardellino, Cristian
Teruel, Milagro
Alonso Alemany, Laura
Villata, Serena
author_role author
author2 Teruel, Milagro
Alonso Alemany, Laura
Villata, Serena
author2_role author
author
author
dc.subject.none.fl_str_mv Ontology population
Ontology alignment
topic Ontology population
Ontology alignment
dc.description.none.fl_txt_mv Fil: Cardellino, Cristian. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía, Física y Computación; Argentina.
Fil: Teruel, Milagro. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía, Física y Computación; Argentina.
Fil: Alonso Alemany, Laura. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía, Física y Computación; Argentina.
Fil: Villata, Serena. Universite Cote d’Azur; France.
We present a methodology and framework to align ontologies through annotation of texts, and we show how this methodology applies successfully to the legal domain. This method reduces the difficulty of aligning ontologies, because annotators are asked to associate two labels from different inventories to a concrete example, which requires a simple judgment. In a second phase, those correspondences are consolidated into a proper alignment. The resulting alignment is a partial connection between diverse ontologies. By annotating judgments of the European Court of Human Rights, we have aligned an ontology of the legal domain, LKIF, to YAGO, we have thus populated LKIF in order to train a legal Named Entity Recognizer and Classifier with examples from the Wikipedia that are trivially mapped to LKIF classes. The resulting resources and the best practices we defined supported a step towards automation in legal informatics.
http://ceur-ws.org/Vol-1963/paper636.pdf
Fil: Cardellino, Cristian. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía, Física y Computación; Argentina.
Fil: Teruel, Milagro. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía, Física y Computación; Argentina.
Fil: Alonso Alemany, Laura. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía, Física y Computación; Argentina.
Fil: Villata, Serena. Universite Cote d’Azur; France.
Ciencias de la Computación
description Fil: Cardellino, Cristian. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía, Física y Computación; Argentina.
publishDate 2017
dc.date.none.fl_str_mv 2017
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_5794
info:ar-repo/semantics/documentoDeConferencia
format conferenceObject
status_str publishedVersion
dc.identifier.none.fl_str_mv 1613-0073
http://hdl.handle.net/11086/553598
https://hal.science/hal-01643665
identifier_str_mv 1613-0073
url http://hdl.handle.net/11086/553598
https://hal.science/hal-01643665
dc.language.none.fl_str_mv eng
language eng
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Repositorio Digital Universitario (UNC)
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reponame_str Repositorio Digital Universitario (UNC)
collection Repositorio Digital Universitario (UNC)
instname_str Universidad Nacional de Córdoba
instacron_str UNC
institution UNC
repository.name.fl_str_mv Repositorio Digital Universitario (UNC) - Universidad Nacional de Córdoba
repository.mail.fl_str_mv oca.unc@gmail.com
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