Texto completo
Vista Previa |
PDF (Portable Document Format)
- Se necesita un visor de ficheros PDF, como GSview, Xpdf o Adobe Acrobat Reader
Descargar (224kB) | Vista Previa |
A heuristic approach to generate good-quality linked data about hydrography
Cita
Vilches-Blázquez, LM. and Corcho, Oscar 
ORCID: https://orcid.org/0000-0002-9260-0753
(2009).
A heuristic approach to generate good-quality linked data about hydrography.
En: "20th International Workshop on Database and Expert Systems Application, 2009. DEXA '09.", 31/08/2009 - 04/09/2009., Linz, Austria. ISBN 978-0-7695-3763-4.
ORCID: https://orcid.org/0000-0002-9260-0753
(2009).
A heuristic approach to generate good-quality linked data about hydrography.
En: "20th International Workshop on Database and Expert Systems Application, 2009. DEXA '09.", 31/08/2009 - 04/09/2009., Linz, Austria. ISBN 978-0-7695-3763-4.
Descripción
| Título: | A heuristic approach to generate good-quality linked data about hydrography |
|---|---|
| Autor/es: |
|
| Tipo de Documento: | Ponencia en Congreso o Jornada (Artículo) |
| Título del Evento: | 20th International Workshop on Database and Expert Systems Application, 2009. DEXA '09. |
| Fechas del Evento: | 31/08/2009 - 04/09/2009. |
| Lugar del Evento: | Linz, Austria |
| Título del Libro: | Proceedings of the 20th International Workshop on Database and Expert Systems Application, 2009. DEXA '09 |
| Fecha: | Noviembre 2009 |
| ISBN: | 978-0-7695-3763-4 |
| Materias: | |
| ODS: | |
| Palabras Clave Informales: | oeg |
| Escuela: | Facultad de Informática (UPM) [antigua denominación] |
| Departamento: | Inteligencia Artificial |
| Grupo Investigación UPM: | Ontology Engineering Group – OEG |
| Licencias Creative Commons: | Ninguna |
Resumen
Current Geographic Information is highly heterogeneous due to the diversity of producers and to their different needs. Geographical databases have different information structures, different levels of abstraction and scale, and are available in different natural languages. This is a major obstacle to overcome when generating good quality Linked Data from these databases. In this paper we describe how we generate Linked Data from heterogeneous hydrographical databases from various Spanish institutions. We provide a characterization of the types of heterogeneity found, based on existing semantic heterogeneity classifications, and describe a heuristic approach to deal with duplicity or co-reference problems.
Más información
| ID de Registro: | 5141 |
|---|---|
| Identificador DC: | https://oa.upm.es/5141/ |
| Identificador OAI: | oai:oa.upm.es:5141 |
| URL Oficial: | http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumb... |
| Depositado por: | Dr Oscar Corcho |
| Depositado el: | 17 Dic 2010 09:56 |
| Ultima Modificación: | 20 Abr 2016 14:04 |
Acciones
- Estadísticas
- Exportar cita
- Editar (sólo personal del Archivo)
