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

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

Fil: Cardellino, Cristian. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía, Física y Computación; Argentina.

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Main Authors: Cardellino, Cristian, Teruel, Milagro, Alonso Alemany, Laura, Villata, Serena
Format: conferenceObject biblioteca
Language:eng
Published: 2017
Subjects:Ontology population, Ontology alignment,
Online Access:http://hdl.handle.net/11086/553598
https://hal.science/hal-01643665
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spelling dig-unc-ar-11086-5535982024-09-11T06:38:45Z Ontology population and alignment for the legal domain : YAGO, Wikipedia and LKIF Cardellino, Cristian Teruel, Milagro Alonso Alemany, Laura Villata, Serena Ontology population Ontology alignment 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 2024-09-10T17:24:18Z 2024-09-10T17:24:18Z 2017 conferenceObject 1613-0073 http://hdl.handle.net/11086/553598 https://hal.science/hal-01643665 eng Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/ Electrónico y/o Digital
institution UNC AR
collection DSpace
country Argentina
countrycode AR
component Bibliográfico
access En linea
databasecode dig-unc-ar
tag biblioteca
region America del Sur
libraryname Biblioteca 'Ing. Agrónomo Moisés Farber' de la Facultad de Ciencias Agropecuarias
language eng
topic Ontology population
Ontology alignment
Ontology population
Ontology alignment
spellingShingle Ontology population
Ontology alignment
Ontology population
Ontology alignment
Cardellino, Cristian
Teruel, Milagro
Alonso Alemany, Laura
Villata, Serena
Ontology population and alignment for the legal domain : YAGO, Wikipedia and LKIF
description Fil: Cardellino, Cristian. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía, Física y Computación; Argentina.
format conferenceObject
topic_facet Ontology population
Ontology alignment
author Cardellino, Cristian
Teruel, Milagro
Alonso Alemany, Laura
Villata, Serena
author_facet Cardellino, Cristian
Teruel, Milagro
Alonso Alemany, Laura
Villata, Serena
author_sort Cardellino, Cristian
title Ontology population and alignment for the legal domain : YAGO, Wikipedia and LKIF
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
publishDate 2017
url http://hdl.handle.net/11086/553598
https://hal.science/hal-01643665
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AT teruelmilagro ontologypopulationandalignmentforthelegaldomainyagowikipediaandlkif
AT alonsoalemanylaura ontologypopulationandalignmentforthelegaldomainyagowikipediaandlkif
AT villataserena ontologypopulationandalignmentforthelegaldomainyagowikipediaandlkif
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