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|Title:||Coupling human- and machine-driven mapping of SKOS thesauri|
|Authors:||FUGAZZA CRISTIANO; VACCARI LORENZINO|
|Citation:||International Journal of Metadata, Semantics and Ontologies (IJMSO) vol. 6 no. 3/4 p. 155-165|
|Publisher:||Inderscience Enterprises Ltd.|
|ISSN:||1744-2621 (print), 1744-263X (online)|
|Type:||Articles in Journals|
|Abstract:||This paper elaborates on the importance of the SKOS format for developing thesauri in the context of Spatial Data Infrastructures and presents a prototype application supporting one of the most important tasks for the harmonisation of SKOS thesauri, i.e., relating independent categorisations of terms that may be developed by distinct thematic communities. This work outlines the main sources for SDI-related thesauri that are currently available and addresses the many challenges that shall be tackled in order to streamline the development process associated with these resources. The paper also describes the ongoing activities for the extension of the tool to support automatic derivation of mappings through recourse to ontology matching tools and algorithms.|
|JRC Institute:||Institute for Environment and Sustainability|
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