Improving geographic information retrieval in spatial data infrastructures
作者： Fabio Gomes de Andrade , Cláudio de Souza Baptista , Clodoveu Augusto Davis
DOI: 10.1007/S10707-014-0202-X
关键词:
摘要: In recent years, spatial data infrastructures (SDIs) have gained great popularity as a solution to facilitate interoperable access geospatial offered by different agencies. order enhance the retrieval process, current usually offer catalog service. Nevertheless, such services still important limitations that make it difficult for users find they are interested in. Some drawbacks include use of single record describe all feature types service, lack formal means semantics underlying data, and an effective ranking metric organize results retrieved from query. Aiming overcome these limitations, this article proposes SESDI (Semantically-Enabled Spatial Data Infrastructures), which is framework reuses techniques classic information improve geographic in SDI. Moreover, several metrics solve spatial, semantic, temporal multidimensional queries.
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