article · 1994
Relation-Based Representations for Spatial Knowledge
Supervisor Timos Sellis, Dimitris Papadias, Dimitris Papadias
Cited by 0Abstract and details only
Abstract
. Various relation-based systems, concerned with the representation and processing of spatial relations, have been developed in numerous application domains. In this thesis we identify the common concepts underlying qualitative spatial knowledge representation, we compare the representational properties of the different systems and we outline the computational tasks involved in relation-based spatial information processing. The thesis also proposes symbolic spatial indexes, relation-based structures which combine several ideas in spatial knowledge representation. A symbolic spatial index is an array that preserves only a set of spatial relations among distinct objects in an image, called the modelling space; the index array discards information, such as shape and size of objects, and irrelevant spatial relations. The construction of a symbolic spatial index from an input image can be thought of as a transformation that keeps only a set of representative points needed for the definition...
Cite this paper
Sellis, S. T., Papadias, D., & Papadias, D. (1994). Relation-Based Representations for Spatial Knowledge.
Sellis, Supervisor Timos, et al. “Relation-Based Representations for Spatial Knowledge.” 1994.
Sellis, Supervisor Timos, Dimitris Papadias, and Dimitris Papadias. 1994. “Relation-Based Representations for Spatial Knowledge.”
Sellis, S.T., Papadias, D. and Papadias, D. (1994) ‘Relation-Based Representations for Spatial Knowledge’.
@article{sellis1994relation,
title = {{Relation-Based Representations for Spatial Knowledge}},
author = {Sellis, Supervisor Timos and Papadias, Dimitris and Papadias, Dimitris},
year = {1994}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.