Towards a Visual SPARQL-DL Query Builder
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-unders...
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Red de Universidades con Carreras en Informática
2018
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| Acceso en línea: | https://rdi.uncoma.edu.ar/handle/uncomaid/18445 |
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I22-R178-uncomaid-184452024-12-30T17:54:10Z Towards a Visual SPARQL-DL Query Builder Gimenez, Christian Braun, Germán Cecchi, Laura Fillottrani, Pablo Ontology VQL Semantic Web SPARQL-DL crowd Ciencias de la Computación e Información 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. 2018-10 2024-12-26T14:09:14Z 2024-12-26T14:09:14Z Articulo article acceptedVersion 978-950-658-472-6 https://rdi.uncoma.edu.ar/handle/uncomaid/18445 eng Atribución-NoComercial-CompartirIgual 4.0 https://creativecommons.org/licenses/by-nc-sa/4.0/ application/pdf pp.917-926 application/pdf application/epub+zip ARG Red de Universidades con Carreras en Informática Universidad Nacional de San Juan. Facultad de Ciencias Exactas, Físicas y Naturales XXIV Congreso Argentino de Ciencias de la Computación |
| institution |
Universidad Nacional del Comahue |
| institution_str |
I-22 |
| repository_str |
R-178 |
| collection |
Repositorio Institucional UNCo |
| language |
Inglés |
| topic |
Ontology VQL Semantic Web SPARQL-DL crowd Ciencias de la Computación e Información |
| spellingShingle |
Ontology VQL Semantic Web SPARQL-DL crowd Ciencias de la Computación e Información Gimenez, Christian Braun, Germán Cecchi, Laura Fillottrani, Pablo Towards a Visual SPARQL-DL Query Builder |
| topic_facet |
Ontology VQL Semantic Web SPARQL-DL crowd Ciencias de la Computación e Información |
| 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. |
| format |
Articulo article acceptedVersion |
| author |
Gimenez, Christian Braun, Germán Cecchi, Laura Fillottrani, Pablo |
| author_facet |
Gimenez, Christian Braun, Germán Cecchi, Laura Fillottrani, Pablo |
| author_sort |
Gimenez, Christian |
| title |
Towards a Visual SPARQL-DL Query Builder |
| 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 |
| publisher |
Red de Universidades con Carreras en Informática |
| publishDate |
2018 |
| url |
https://rdi.uncoma.edu.ar/handle/uncomaid/18445 |
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AT gimenezchristian towardsavisualsparqldlquerybuilder AT braungerman towardsavisualsparqldlquerybuilder AT cecchilaura towardsavisualsparqldlquerybuilder AT fillottranipablo towardsavisualsparqldlquerybuilder |
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1823260066511323136 |