Artículo
On learning context-aware rules to link RDF datasets
Autor/es | Cimmino Arriaga, Andrea Jesús
Corchuelo Gil, Rafael |
Departamento | Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos |
Fecha de publicación | 2020-09-15 |
Fecha de depósito | 2023-03-27 |
Publicado en |
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Resumen | Integrating RDF datasets has become a relevant problem for both researchers and practitioners. In the literature, there are many genetic proposals that learn rules that allow to link the resources that refer to the same ... Integrating RDF datasets has become a relevant problem for both researchers and practitioners. In the literature, there are many genetic proposals that learn rules that allow to link the resources that refer to the same real-world entities, which is paramount to integrating the datasets. Unfortunately, they are context-unaware because they focus on the resources and their attributes but forget about their neighbours. This implies that they fall short in cases in which different resources have similar attributes but refer to different real-world entities or cases in which they have dissimilar attributes but refer to the same real-world entities. In this article, we present a proposal that learns context-aware rules that take into account both the attributes of the resources and their neighbours. We have conducted an extensive experimentation that proves that it outperforms the most advanced genetic proposal. Our conclusions were checked using statistically sound methods. |
Agencias financiadoras | Ministerio de Economía y Competitividad (MINECO). España Junta de Andalucía |
Identificador del proyecto | TIN2013-40848-R
TIN2016-75394-R P18- RT-1060 |
Cita | Cimmino Arriaga, A.J. y Corchuelo Gil, R. (2020). On learning context-aware rules to link RDF datasets. Logic Journal of the IGPL, 29 (1), 151-166. https://doi.org/10.1093/jigpal/jzaa043. |
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