SESDI: um arcabouço para a recuperação de dados geográficos em infraestruturas de dados espaciais.

Abstract

In recent years, spatial data infrastructures (SDIs) have gained great popularity as a solution to facilitate the interoperability and the access to geographic data offered by different agencies. Nevertheless, their current catalogs have several limitations that make difficult for user to find the geographic data that are currently offered by the SDL Some current catalog drawbacks include the use of just one record to describe all the feature types offered by a service, the use of keywords to solve semantic queries and the lack of a ranking metric to organize the results retrieved from a query. Aiming to overcome these limitations, this thesis proposes SESDI (Semantically Enabled Spatial Data Infrastrucutres), which is a framework that uses ontologies and techniques of classic information retrieval to improve geographic data retrieval in a SDI. Moreover, the framework proposes several ranking metrics to solve spatial, semantic, temporal and global queries.