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Semantically Enriching Geodata
Abstract
The requirement of GIS community in information is in vogue. Indeed, GIS is often extremely useful in many fields such as sciences, health, business, and community services to do everything. This includes creating, querying, overlaying maps and analysis of the spatial and non-spatial information. To carry out all these processing, the GIS refers to the data collected and stored in the GDB. Seen the multitude of GIS users' preoccupations, there is a growing interest and awareness in reaching the valuable and strategic data by enriching the GDB. This is made possible through mining different data sources to complement the native GDB. In this context, this chapter deals with an approach devised to enrich the GDB semantic data by interacting reactive agents to process documents related to the geographic entities. It deals with a modular approach consisting of fragmentation, theme identification, delegation, filtering and eventually results refinement.
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