The development of fuzzy sets in geographic information systems (GIS) arose out of the
need to handle uncertainty and the ability of soft computing technology to support fuzzy …

Humans think and talk about regions and spatial relations imprecisely, in terms of vague
concepts that are fuzzy or probabilistic (eg, downtown, near). The functionality of geographic …

Spatial relation extraction (eg, topological relations, directional relations, and distance
relations) from natural language descriptions is a fundamental but challenging task in …

Place descriptions are used in everyday communication as a common way to convey spatial
information. Processing the information from place descriptions poses multiple significant …

Similarity plays a fundamental role in the human cognition process. It serves as a principle of
categorization, inductive reasoning, and analogical inference. Spatial similarity assessment …

1 Introduction Widespread use of spatial databases [24] is leading to an increasing interest
in mining interesting and useful but implicit spatial patterns [14, 17, 10, 22]. Efficient tools for …

Assessing spatial scenes for similarity is difficult from a cognitive and computational
perspective. Solutions to spatial‐scene similarity assessments are sensible only if …

All aspects of human activity are rooted in geographic space in some respect. As a
consequence, many web resources include references to geographic context. In order to …

We present a new system, called Searchlight, that uniquely integrates constraint solving and
data management techniques. It allows Constraint Programming (CP) machinery to run …

We discuss locations as defined by their qualitative spatial relations to other features,
dubbed qualitative locations (QL). We further propose a mechanism to handle queries with …