Extending Binary Qualitative Direction Calculi with a Granular Distance Concept: Hidden Feature Attachment

Details Extending Binary Qualitative Direction Calculi with a Granular Distance Concept: Hidden Feature Attachment Extending Binary Qualitative Direction Calculi with a Granular Distance Concept: Hidden Feature Attachment

2010-12-29

arxiv.org/abs/1012.5960v1

Computer Science

Artificial Intelligence

Scientific paper

In this paper we introduce a method for extending binary qualitative direction calculi with adjustable granularity like OPRAm or the star calculus with a granular distance concept. This method is similar to the concept of extending points with an internal reference direction to get oriented points which are the basic entities in the OPRAm calculus. Even if the spatial objects are from a geometrical point of view infinitesimal small points locally available reference measures are attached. In the case of OPRAm, a reference direction is attached. The same principle works also with local reference distances which are called elevations. The principle of attaching references features to a point is called hidden feature attachment.

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