Conceptual Search: Incorporating Geospatial Data into Semantic Queries
Traditional queries require users to invoke specific data sources, manually integrate data across multiple sources and interpret the results. These costly operations are increased for geospatial data, which may have elaborate formats and require complex geospatial operations. Conceptual search solves these problems by leveraging semantic technologies to give a new paradigm for querying data sources. New semantic geospatial tools are also added to facilitate geospatial reasoning. Conceptual search can be implemented via a service-oriented architecture for further benefits.
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