Connecting Granular and Topological Relations through Description Logics

Elio Hbeich (1, 2) , Ana Roxin (2) , Nicolas Bus (1)

1 CSTB - Centre Scientifique et Technique du Bâtiment
2 LIB - Laboratoire d'Informatique de Bourgogne [Dijon]

Granularity deals with organizing in greater or lesser detail data, information, and knowledge that resides at a granular level. This organization is carried out according to certain criteria, which thereby provide a context view or dimension also called granular perspective. Topological relations express spatial associations among geospatial features (points, polylines, and polygons); they represent a horizontal spatial analysis. The two domains allow scientists to conceive different perspectives of the world. In this article, we aim to combine the two representations through Description Logics (DL) rules to relate granular (vertical representation) and geospatial topological (horizontal representation) relations. The following consequences are thus noted: (1) geospatial features become granules, (2) geospatial features are grouped into different levels of granularity and different granules, and finally, (3) granular construction and decomposition operations are integrated into the spatial domain.

Mots clés: Geospatial Data; GeoSPARQL; Description Logic; Topological Relations; Granular Computing; Granular Relations

Domaines: Logique en informatique [cs.LO]; Théorie et langage formel [cs.FL]; Topologie générale [math.GN]

Elio Hbeich, Ana Roxin, Nicolas Bus. Connecting Granular and Topological Relations through Description Logics. 4th International Workshop on Geospatial Linked Data (GeoLD 2021) Co-located with the 18th Extended Semantic Web Conference (ESWC 2021), Jun 2021, Hersonissos, Greece. ⟨hal-03703827⟩