A Semantic analysis of moving objects, using as a case study maritime voyages from eighteenth and nineteenth centuries
Résumé
In this paper, we present a spatial model designed to extract knowledge from the tracks of moving objects. The model uses a perdurantism approach, implemented using Semantic Web technologies. In order to show the capabilities of the model, we employ it to handle a large dataset composed of historic maritime records. By using Semantic Web tools, we are able to implement rules and identify user defined patterns. Although there are limitations due to currently available tools, our results are promising.