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

TL;DR

This paper proposes a method to enhance binary qualitative direction calculi by incorporating a granular distance concept through hidden feature attachment, enabling more detailed spatial reasoning.

Contribution

It introduces a novel approach called hidden feature attachment to extend qualitative calculi with adjustable granularity and local reference distances.

Findings

Enables extension of qualitative direction calculi with granular distance features

Provides a method for attaching local reference measures to spatial points

Improves the expressiveness of spatial reasoning frameworks

Abstract

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.