Calibrating the Meanings of Spatial Predicates from Natural
Language: Line-Region Relations
David Mark and
Max Egenhofer Sixth International Symposium on Spatial Data Handling, Edinburgh, Scotland, pp. 538-553, September 1994.
Abstract
Results from human subjects testing are used to calibrate the
meaning of "the road crosses the park" and three other similar
sentences in English. Sixty stimulus maps represent two or more
examples of each of the 19 line-region spatial relationships
defined by the 9-intersection model. The subjects' mean agreement
that the sentence applies to each map is expressed as a weighted
sum of binary variables that define which of the 9-intersection
categories the relationship between road and park on the map
belongs to. Statistically, regression equations based on
9-intersection topology alone account for between 60 percent and 90
percent in the variation in mean subjects' responses.
Crosses and goes across appear to be more sensitive
to variations in metric properties that are goes through and
enters. Results confirm that the method used has potential
for defining cognitively meaningful spatial predicates and for
comparing the meanings of similar terms in different natural
languages.