Modeling CDC in a fuzzy description logic A comparison of different approaches

Relative information about locations of places can be described using the cardinal direction calculus (CDC). Some extensions of the calculus allow to express vague information and others include nearness/closeness. The development of description logics for qualitative spatial calculi has also been done. In this paper, we propose several knowledge bases for fuzzy description logics to manage information on relative positions of points of interest (POI) with respect to cardinal directions and distance. The theory of vague description logics is used and applied on the cardinal direction calculus. The paper compares the different approaches and aims to objectify the comparison by generating artificial datasets that form the basis for the evaluation. The evaluation is performed in different scenarios with different parameters and the results are discussed. The advantages and disadvantages of each model are related to potential application scenarios.