Semantic Representation of Moving Entities for Enhancing Geographical Information Systems

Geographical Information Systems have become useful for fleet control, hurricane tracking, tourism analysis and some other critical fields that include decision making processes. The analysis have been mainly focused on historical movement, movement prediction and motion patterns detection, which have a tremendous impact in traffic analysis, finding locations of interest and most visited places, estimating hurricane damage and so more. Recently, ontology driven GIS have shown to the scientific community the advantages of making semantic analysis based in ontology models. In this work we present the advantages of using ontologies for representing moving entities and enriching information with semantics. We also present some experimental results of using an ontological model and making semantic queries over the laying information, encouraging on several obtained benefits and aiming to state a basis for enhanced ontology driven GIS.