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Memorias de investigación
Ponencias en congresos:
Enhancing the Maintainability of the Bio2RDF Project Using Declarative Mappings
Año:2019
Áreas de investigación
  • Ciencias de la computación y tecnología informática
Datos
Descripción
Bio2RDF is one of the most popular projects that integrates and publishes biomedical datasets as Linked Data. The community has actively contributed to the generation of these datasets using ad-hoc programmed scripts. In the context of the Semantic Web, Ontology-Based Data Access (OBDA) approaches have been proposed to provide data access and transformation in a more standardized way, using declarative mapping languages. In this paper, we propose the use of an OBDA approach to provide an alternative to the way in which transformations into RDF are currently done in the Bio2RDF project, with the aim of enhancing its methodology in terms of understandability, reusability and maintainability. We describe the proposed methodology together with the declarative mappings creation process aiming to improve the afore-mentioned features. We compare the RDF dataset generated using our proposal with the latest release of Bio2RDF for a subset of the data sources that we have dealt with. Finally, we discuss the set of challenges that we face with this approach.
Internacional
Si
Nombre congreso
Semantic Web Applications and Tools for Healthcare and Life Sciences
Tipo de participación
960
Lugar del congreso
Edimburgo, UK
Revisores
Si
ISBN o ISSN
1613-0073
DOI
Fecha inicio congreso
09/12/2019
Fecha fin congreso
12/12/2019
Desde la página
2
Hasta la página
11
Título de las actas
The 12th International SWAT4HCLS Conference Proc.
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: Ana Iglesias Molina (UPM)
  • Autor: David Chaves Fraga (UPM)
  • Autor: Freddy Priyatna . (UPM)
  • Autor: Oscar Corcho Garcia (UPM)
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Ontology Engineering Group
  • Departamento: Inteligencia Artificial
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