Towards a Visual SPARQL-DL Query Builder

Autores
Gimenez, Christian; Braun, Germán; Cecchi, Laura; Fillottrani, Pablo
Año de publicación
2018
Idioma
inglés
Tipo de recurso
artículo
Estado
versión aceptada
Descripción
Querying ontologies is an every-day activity that users need. This interaction will improve when the query is more expressive and easier to develop. For this purpose, a visual query language is an ideal mean for users and ontology engineers for creating queries taking advantage of the easy-to-understand and low time and cost characteristics, specially, for users which does not know textual query languages. On the other side, SPARQL-DL is a powerful and expressive textual query language for OWL-DL based ontologies that can combine TBox/ABox/RBox queries. Considering the advantage of both, we present in this work a visual query language that can be interpreted as SPARQL-DL sentences and thus being used for querying ontologies for its structure and/or instance information. Altogether, we use this idea to create a modified version of crowd, a Web modelling tool with reasoning support, that enables to implement and tests the presented graphical language along with the needed SPARQL-DL support for solving queries with the user’s provided OWL 2 ontologies in any of its linearisations.
Fil: Gimenez, Christian. Universidad Nacional del Comahue. Facultad de Informática; Argentina.
Fil: Braun, Germán. Universidad Nacional del Comahue. Facultad de Informática; Argentina.
Fil: Cecchi, Laura. Universidad Nacional del Comahue. Facultad de Informática; Argentina.
Fil: Fillottrani, Pablo. Universidad Nacional del Sur. Departamento de Ciencias e Ingenierías de la Computación; Argentina.
Fuente
XXIV Congreso Argentino de Ciencias de la Computación
Materia
Ontology
VQL
Semantic Web
SPARQL-DL
crowd
Ciencias de la Computación e Información
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
Repositorio Digital Institucional (UNCo)
Institución
Universidad Nacional del Comahue
OAI Identificador
oai:rdi.uncoma.edu.ar:uncomaid/18445
Acceder
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network_acronym_str RDIUNCO
repository_id_str 7108
network_name_str Repositorio Digital Institucional (UNCo)
spelling Towards a Visual SPARQL-DL Query BuilderGimenez, ChristianBraun, GermánCecchi, LauraFillottrani, PabloOntologyVQLSemantic WebSPARQL-DLcrowdCiencias de la Computación e InformaciónQuerying ontologies is an every-day activity that users need. This interaction will improve when the query is more expressive and easier to develop. For this purpose, a visual query language is an ideal mean for users and ontology engineers for creating queries taking advantage of the easy-to-understand and low time and cost characteristics, specially, for users which does not know textual query languages. On the other side, SPARQL-DL is a powerful and expressive textual query language for OWL-DL based ontologies that can combine TBox/ABox/RBox queries. Considering the advantage of both, we present in this work a visual query language that can be interpreted as SPARQL-DL sentences and thus being used for querying ontologies for its structure and/or instance information. Altogether, we use this idea to create a modified version of crowd, a Web modelling tool with reasoning support, that enables to implement and tests the presented graphical language along with the needed SPARQL-DL support for solving queries with the user’s provided OWL 2 ontologies in any of its linearisations.Fil: Gimenez, Christian. Universidad Nacional del Comahue. Facultad de Informática; Argentina.Fil: Braun, Germán. Universidad Nacional del Comahue. Facultad de Informática; Argentina.Fil: Cecchi, Laura. Universidad Nacional del Comahue. Facultad de Informática; Argentina.Fil: Fillottrani, Pablo. Universidad Nacional del Sur. Departamento de Ciencias e Ingenierías de la Computación; Argentina.Red de Universidades con Carreras en InformáticaUniversidad Nacional de San Juan. Facultad de Ciencias Exactas, Físicas y Naturales2018-10info:eu-repo/semantics/articleinfo:eu-repo/semantics/acceptedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfpp.917-926application/pdfapplication/epub+zip978-950-658-472-6https://rdi.uncoma.edu.ar/handle/uncomaid/18445XXIV Congreso Argentino de Ciencias de la Computaciónreponame:Repositorio Digital Institucional (UNCo)instname:Universidad Nacional del ComahueengARGinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/4.0/2025-10-16T10:05:27Zoai:rdi.uncoma.edu.ar:uncomaid/18445instacron:UNCoInstitucionalhttp://rdi.uncoma.edu.ar/Universidad públicaNo correspondehttp://rdi.uncoma.edu.ar/oaimirtha.mateo@biblioteca.uncoma.edu.ar; adriana.acuna@biblioteca.uncoma.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:71082025-10-16 10:05:28.331Repositorio Digital Institucional (UNCo) - Universidad Nacional del Comahuefalse
dc.title.none.fl_str_mv Towards a Visual SPARQL-DL Query Builder
title Towards a Visual SPARQL-DL Query Builder
spellingShingle Towards a Visual SPARQL-DL Query Builder
Gimenez, Christian
Ontology
VQL
Semantic Web
SPARQL-DL
crowd
Ciencias de la Computación e Información
title_short Towards a Visual SPARQL-DL Query Builder
title_full Towards a Visual SPARQL-DL Query Builder
title_fullStr Towards a Visual SPARQL-DL Query Builder
title_full_unstemmed Towards a Visual SPARQL-DL Query Builder
title_sort Towards a Visual SPARQL-DL Query Builder
dc.creator.none.fl_str_mv Gimenez, Christian
Braun, Germán
Cecchi, Laura
Fillottrani, Pablo
author Gimenez, Christian
author_facet Gimenez, Christian
Braun, Germán
Cecchi, Laura
Fillottrani, Pablo
author_role author
author2 Braun, Germán
Cecchi, Laura
Fillottrani, Pablo
author2_role author
author
author
dc.subject.none.fl_str_mv Ontology
VQL
Semantic Web
SPARQL-DL
crowd
Ciencias de la Computación e Información
topic Ontology
VQL
Semantic Web
SPARQL-DL
crowd
Ciencias de la Computación e Información
dc.description.none.fl_txt_mv Querying ontologies is an every-day activity that users need. This interaction will improve when the query is more expressive and easier to develop. For this purpose, a visual query language is an ideal mean for users and ontology engineers for creating queries taking advantage of the easy-to-understand and low time and cost characteristics, specially, for users which does not know textual query languages. On the other side, SPARQL-DL is a powerful and expressive textual query language for OWL-DL based ontologies that can combine TBox/ABox/RBox queries. Considering the advantage of both, we present in this work a visual query language that can be interpreted as SPARQL-DL sentences and thus being used for querying ontologies for its structure and/or instance information. Altogether, we use this idea to create a modified version of crowd, a Web modelling tool with reasoning support, that enables to implement and tests the presented graphical language along with the needed SPARQL-DL support for solving queries with the user’s provided OWL 2 ontologies in any of its linearisations.
Fil: Gimenez, Christian. Universidad Nacional del Comahue. Facultad de Informática; Argentina.
Fil: Braun, Germán. Universidad Nacional del Comahue. Facultad de Informática; Argentina.
Fil: Cecchi, Laura. Universidad Nacional del Comahue. Facultad de Informática; Argentina.
Fil: Fillottrani, Pablo. Universidad Nacional del Sur. Departamento de Ciencias e Ingenierías de la Computación; Argentina.
description Querying ontologies is an every-day activity that users need. This interaction will improve when the query is more expressive and easier to develop. For this purpose, a visual query language is an ideal mean for users and ontology engineers for creating queries taking advantage of the easy-to-understand and low time and cost characteristics, specially, for users which does not know textual query languages. On the other side, SPARQL-DL is a powerful and expressive textual query language for OWL-DL based ontologies that can combine TBox/ABox/RBox queries. Considering the advantage of both, we present in this work a visual query language that can be interpreted as SPARQL-DL sentences and thus being used for querying ontologies for its structure and/or instance information. Altogether, we use this idea to create a modified version of crowd, a Web modelling tool with reasoning support, that enables to implement and tests the presented graphical language along with the needed SPARQL-DL support for solving queries with the user’s provided OWL 2 ontologies in any of its linearisations.
publishDate 2018
dc.date.none.fl_str_mv 2018-10
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/acceptedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str acceptedVersion
dc.identifier.none.fl_str_mv 978-950-658-472-6
https://rdi.uncoma.edu.ar/handle/uncomaid/18445
identifier_str_mv 978-950-658-472-6
url https://rdi.uncoma.edu.ar/handle/uncomaid/18445
dc.language.none.fl_str_mv eng
language eng
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/4.0/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/4.0/
dc.format.none.fl_str_mv application/pdf
pp.917-926
application/pdf
application/epub+zip
dc.coverage.none.fl_str_mv ARG
dc.publisher.none.fl_str_mv Red de Universidades con Carreras en Informática
Universidad Nacional de San Juan. Facultad de Ciencias Exactas, Físicas y Naturales
publisher.none.fl_str_mv Red de Universidades con Carreras en Informática
Universidad Nacional de San Juan. Facultad de Ciencias Exactas, Físicas y Naturales
dc.source.none.fl_str_mv XXIV Congreso Argentino de Ciencias de la Computación
reponame:Repositorio Digital Institucional (UNCo)
instname:Universidad Nacional del Comahue
reponame_str Repositorio Digital Institucional (UNCo)
collection Repositorio Digital Institucional (UNCo)
instname_str Universidad Nacional del Comahue
repository.name.fl_str_mv Repositorio Digital Institucional (UNCo) - Universidad Nacional del Comahue
repository.mail.fl_str_mv mirtha.mateo@biblioteca.uncoma.edu.ar; adriana.acuna@biblioteca.uncoma.edu.ar
_version_ 1846145864410595328
score 12.712165

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