| Abstract: | Modeling human concepts of object locations is essential for the development of
the systems and machines that collaborate with ordinary people on spatial tasks. This paper
applies a heterogeneous cardinal direction model, called HCDM, to model human concepts
of object locations with both directional and topological information in a 2D space. Using
its ability we illustrate where and how an object is located as seen from another even if they
have different spatial extensions. For generality, we adopt a set of formal spatial concepts
defined in an existing spatial ontology called GUM and associate these concepts with the
patterns identified by HCDM. We also discuss the converse and composition operations
on HCDM patterns for qualitative spatial reasoning and compare it with other cardinal
direction models. |
