Aim4GDI: Facilitating the Synthesis of GDI Resources through Mapping and Superimpositions of Metadata Summaries

Abstract

In the world of geospatial data infrastructures, geoportals are developed to facilitate access and use of geospatial resources, including data. The design and implementation of effective and efficient geoportals are becoming crucial. Providing possibilities for users to organize and integrate available resources can arguably enhance the process of data discovery and spatial analysis required, and hence, is the focus of this paper. We argue that the synthesis of summaries of distributed datasets, map and feature services through the geoportal can present a coherent view to support data discovery. For this purpose, the atlas metaphor is used as an indexing server and integration interface of summaries. Thematic maps and a storyteller view are accessible through the atlas metaphor. They can be used to provide a supporting context for data discovery and access purposes.

An Interoperable Cloud Based Geoportal for Discovery and Managment of Earth Observation Products

“…Solutions are focused on improving the quality of the results obtained by using semantic web tools such as RDFs, ontology, and SPARQL [14,15]. Nevertheless, there is an opportunity area to improve the end-user experience by analysing the end-users' activity and grouping them based on their preferences [16].…”

Bridging the gap between geospatial resource providers and model developers

“…Aim4GDI [1], uses OGC standards for accessing distributed data sources and creating composite results. The work presented in [4] considers the use of standards (based on the ISO19100 series) for both data and process interoperability, for distributed sources.…”

Gerenciamento do ciclo de vida de dados de sensores

“…This helps understanding the scope of both problems and solutions in this area. Previous viewpoints placed software for sensor data management as an end-to-end process, with the need for interfaces only for acquisition and publication [2,105,109]. Our scenario highlights the advantages of keeping intermediate processing steps apart, with clear interfaces between these steps, identifying points of interoperability at each stage.…”

“…There are many studies concerning use of standards, usually restricted to just one of our layers. For instance, Aim4GDI [2] uses OGC standards for accessing distributed data sources and creating composite results. They also extract metadata from these sources, composing them in RDF for later querying (using SPARQL) and publication (in an ontology description language).…”

“…An image format where each pixel corresponds to a given geographical coordinate 2. Normalized Difference Vegetation Index (NDVI) indicates the levels of live green vegetation, usually over satellite images.…”