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Over the past few years, several alternative approaches have been suggested to represent the spatial knowledge that emerges from natural environments. This paper introduces a rule-based approach whose objective is to generate a spatial semantic network derived from several humans reporting a navigation process in a natural environment. Verbal descriptions(More)
With the surge of mobile devices and applications, knowledge base browsing and querying facilities must be adapted to new kinds of users and services. Space and time databases are concerned and, as such, are the subject of this paper. Within a mobile context, data retrieval services must take the location of the call into consideration as regards space and(More)
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is an open access repository that collects the work of Arts et Métiers ParisTech researchers and makes it freely available over the web where possible. and global spatio-temporal entropy indices based on distance-ratios and co-occurrences When it comes to characterize the distribution of 'things' observed spatially and identified by their geometries and(More)
The representation of human knowledge extracted from navigations in natural environments is still a research challenge for spatial cognition and computer science. When acting in natural environments people often use verbal route descriptions or sketch maps to transmit their knowledge of the environment, and some of the actions performed. The research(More)
This paper introduces a modelling approach oriented to the representation of urban activities which takes into account several interacting spatio-temporal constraints. An activity is modeled as a constraint-based path with different transportation modalities and points of interest identified in a given urban system. The objective of this spatio-temporal(More)