2006 · 44 citations · 6 references
ComputingGeoinformaticsInformation SystemsGeographic Information ScienceGeographic Information SystemsSpatial Data InfrastructureData IntegrationDistributed Geographic Information SystemsGeospatial Data ProcessingSpatial Data CataloguesSpatial Data Infrastructure ArchitectureSpatial Database SystemsDistributed GeoprocessingGeospatial Data ManagementService ChainingService MetadataSpatial Data Infrastructure Service-oriented ArchitectureSpatial Data Infrastructure StandardsSpatial Data StorageWeb Services
Spatial data infrastructures enable organizations to share geospatial data through distributed storage, catalogues, and web map services. This paper proposes a method that extends SDI by converting geodata into information in an OGC‑compliant manner. The authors design a service‑chaining architecture that combines OGC, ISO, and W3C standards, semantic metadata, and a self‑organizing network to build complex geoprocessing chains, illustrated by two case studies. The result is a generic service offering common geoinformation capabilities such as spatial algorithms and Map Algebra for use in next‑level SDI.
SUMMARY Spatial data infrastructures (SDI) have been widely accepted to share geospatial data among organizations. Today SDI’s main focus lies on distributed data storage in the form of spatial web services, the retrieval through catalogues, and the visualization in form of web map services. The hypothesis presented in this paper takes SDI’s one step further by providing a method to process geodata, in an Open Geospatial Consortium (OGC) compliant way, into information. It addresses the problem of service chaining by providing a system architecture to process data into information using Business Processes. The proposed methods utilize spatial standards provided by OGC, International Standardisation Organisation (ISO) and ‘mainstream IT’ standards provided by the World Wide Web Consortium (W3C) to achieve highly complex service chains with geoprocessing capabilities. In companion with semantic description of service’s metadata, a self-organizing net can be established. Two case studies present the potential of standardized geoprocessing services. The result is a generic service for providing common geoinformation capabilities (e.g. spatial algorithms, Map Algebra etc.) for using in next level SDI.
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Remote Sensing and Image Interpretation
John Wright, T. M. Lillesand, R. W. Kiefer · Geographical Journal · 1980 · 7.3K citations