SmartLand-LD: A Linked data approach for integration of heterogeneous datasets to intelligent management of high biodiversity territories
Abstract:
A crucial issue in the development of smart sustainable cities and territories is the use of standards and approach’s to ensure interoperability – so that equipment and systems produced by different vendors work together seamlessly – and to reduce costs through economies of scale. In this work, we investigate the core challenges faced when consuming multiple data sources for smart management of territories of high biodiversity using the Linked Data approach. We design a framework to achieve better data interoperability and integration by republishing real-world data into linked data: the SmartLand-LD framework. SmartLand-LD will work as a flexible and distributed ecosystem of autonomous and heterogeneous data sources (in content, technology, storage and structure) that being interoperated will facilitate access and the mixture of an extraordinary range of information. In order to fully achieve the benefits of SmartLand Initiative, it is crucial that information not only be available, but also is put into a context in order to create new knowledge and enable a diversity of applications. The information about resources is published in a way that allows interested human users and software applications to find and interpret them.
Año de publicación:
2018
Keywords:
- open data
- interoperability
- Linked data
- SmartLand
- semantic web
- Rdf
- URI
Fuente:
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Tipo de documento:
Conference Object
Estado:
Acceso restringido
Áreas de conocimiento:
- Biodiversidad
- Análisis de datos
- Ciencia ambiental
Áreas temáticas:
- Ciencias de la computación
- Economía de la tierra y la energía
- Ciencias Naturales y Matemáticas