ThinkMind // International Journal On Advances in Intelligent Systems, volume 3, numbers 3 and 4, 2010 // View article intsys_v3_n34_2010_4
Download full article
Aggregating Geoprocessing Services using the OAI-ORE Data Model
Keywords: models for geocomputation; geoprocessing ser vices; collections; service integration; OAI-ORE; Linked Open Data
Rapid discovery and access of geospatial resources is critical for many application domains that require agile data integration. In this context, cross-domain geospatial applications need immediate access to geospatial resources of interest in order to rapidly integrate them in scalable, functional Web applications. In this paper we explore new perspectives to build pragmatic geospatial Web applications, drawing on the ideas of recent initiatives like Linked Open Data and Open Archives Initiative. By using and extending standards and principles from these initiatives we are able to model single and composite geoprocessing services as a collection of heterogeneous Web resources. Such collections are built by the principle aggregation by linking that enables to connect and link multiple geospatial data and services across different application domains.
Pages: 200 to 210
Copyright: Copyright (c) to authors, 2010. Used with permission.
Publication date: April 6, 2011
Published in: journal