Methodologies for Augmented Discovery of Geospatial Resources

Abstract

Different strategies can be adopted in order to enable new ways of searching geospatial resources, leveraging the Semantic Web and Web 2.0 technologies. The authors propose a Discovery Augmentation Methodology which is essentially driven by the idea of enriching the searchable information that is associated with geospatial resources. They describe and discuss three different high-level approaches for discovery augmentation: Provider-based, User-based, and Third-party based. From the analysis of these approaches, the authors suggest that, due to their flexibility and extensibility, the user-based and the third-party based approaches result more appropriate for heterogeneous and changing environments such as the SDI one. For the user-based approach, they describe a conceptual architecture and the main components centered on the integration of user-generated content in SDIs. For the third-party approach, the authors describe an architecture enabling semantics-based searches in SDIs.

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