Mullally, Emma-Claire and O'Donoghue, Diarmuid (2006) Spatial Inference Based on Geometric Proportional Analogies. Artificial Intelligence Review, 26 (1). pp. 129-140. ISSN 0269-2821

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Abstract

We describe an instance-based reasoning solution to a variety of spatial reasoning problems. The solution centers on identifying an isomorphic mapping between labelled graphs that represent some problem data and a known solution instance. We describe a number of spatial reasoning problems that are solved by generating non-deductive inferences, integrating topology with area (and other) features. We report the accuracy of our algorithm on different categories of spatial reasoning tasks from the domain of Geographical Information Science. The generality of our approach is illustrated by also solving geometric proportional (IQ-test type) analogy problems.

Item Type:	Article
Additional Information:	Cite this article as: Mullally, EC. & O’Donoghue, D.P. Artif Intell Rev (2006) 26: 129. doi:10.1007/s10462-007-9043-4
Keywords:	Analogical similarity; Spatial inference; Topographic maps;
Academic Unit:	Faculty of Science and Engineering > Computer Science
Item ID:	8181
Identification Number:	https://doi.org/10.1007/s10462-007-9043-4
Depositing User:	Dr. Diarmuid O'Donoghue
Date Deposited:	26 Apr 2017 14:43
Journal or Publication Title:	Artificial Intelligence Review
Publisher:	Springer Verlag
Refereed:	Yes
URI:	http://link.springer.com
Use Licence:	This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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