<p>a) Graph knowledge: purely topological graph of a network of place nodes (identifiable places, including junctions) linked by path edges (traversable paths between nodes), expressing the known connectivity of the environment. b) Labeled graph: incorporates local metric information about distances between known places (edge weights) and/or angles between known paths (node labels). Note that the topological structure of the connections between nodes is the same for a) and b). In the labeled graph, metric information may be coarse, contain biases, and is not globally consistent. c) Survey knowledge: configural map-like knowledge of environmental locations. Metric information is quite accurate and consistent throughout the region, embedded i...
International audienceIn geography, the spatial dimension of networks has long been taken for grante...
Abstract. Conceptual Graphs are a very powerful knowledge and meaning rep-resentation formalism grou...
With the proliferation of 3D image data comes the need for advances in automated spatial reasoning. ...
We investigate the structure of spatial knowledge that spontaneously develops during free exploratio...
We investigate the structure of spatial knowledge that spontaneously develops during free exploratio...
We investigate the structure of spatial knowledge that spontaneously develops during free exploratio...
We investigate the structure of spatial knowledge that spontaneously develops during free exploratio...
International audienceintelligence, actual systems of artificial intelligence are not very efficient...
Abstract. Theoretical and empirical work on the geometry of env i ronmenta l knowledge is discussed....
Geographic knowledge graphs play a significant role in the geospatial semantics paradigm for fulfill...
This paper introduces a model of spatial cognition to describe the states of partial knowledge tha...
Current car navigation systems use maps that show part of a region and are sequentially presented as...
Topological and metrical methods for representing spatial knowledge have complementary strengths. We...
International audienceIn geography, the spatial dimension of networks has long been taken for grante...
International audienceIn geography, the spatial dimension of networks has long been taken for grante...
International audienceIn geography, the spatial dimension of networks has long been taken for grante...
Abstract. Conceptual Graphs are a very powerful knowledge and meaning rep-resentation formalism grou...
With the proliferation of 3D image data comes the need for advances in automated spatial reasoning. ...
We investigate the structure of spatial knowledge that spontaneously develops during free exploratio...
We investigate the structure of spatial knowledge that spontaneously develops during free exploratio...
We investigate the structure of spatial knowledge that spontaneously develops during free exploratio...
We investigate the structure of spatial knowledge that spontaneously develops during free exploratio...
International audienceintelligence, actual systems of artificial intelligence are not very efficient...
Abstract. Theoretical and empirical work on the geometry of env i ronmenta l knowledge is discussed....
Geographic knowledge graphs play a significant role in the geospatial semantics paradigm for fulfill...
This paper introduces a model of spatial cognition to describe the states of partial knowledge tha...
Current car navigation systems use maps that show part of a region and are sequentially presented as...
Topological and metrical methods for representing spatial knowledge have complementary strengths. We...
International audienceIn geography, the spatial dimension of networks has long been taken for grante...
International audienceIn geography, the spatial dimension of networks has long been taken for grante...
International audienceIn geography, the spatial dimension of networks has long been taken for grante...
Abstract. Conceptual Graphs are a very powerful knowledge and meaning rep-resentation formalism grou...
With the proliferation of 3D image data comes the need for advances in automated spatial reasoning. ...