Memorias de investigación
Ponencias en congresos:
Assessing linkset quality for complementing third-party datasets
Año:2013

Áreas de investigación
  • Informática

Datos
Descripción
Linked data best practices are getting extremely popular: various companies and public institutions have started taking advantage of linked data principles for exposing their datasets, and for relating their datasets to those served by third parties. Such enthusiasm is due to the linked data promise of evolving into a Global Data Space. Linksets are sets of links relating datasets and they surely play a fundamental role in this promise. However, a stable and wellaccepted notion of linkset quality has not been yet de?ned. This paper contributes to overcome this lack by proposing a linkset quality measure. Among the di erent quality dimensions that can be addressed, the proposed measure focuses on completeness. The paper formally de?nes novel scoring functions and proposes an interpretation of these functions when maintaining and complementing third party datasets.
Internacional
Si
Nombre congreso
DBT/ICDT Workshops 2013
Tipo de participación
960
Lugar del congreso
Genoa, Italia
Revisores
Si
ISBN o ISSN
978-1-4503-1599-9
DOI
Fecha inicio congreso
18/03/2013
Fecha fin congreso
22/03/2013
Desde la página
52
Hasta la página
59
Título de las actas
DBT/ICDT Workshops 2013 Proceedings

Esta actividad pertenece a memorias de investigación

Participantes

Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Ontology Engineering Group
  • Departamento: Inteligencia Artificial