DocumentCode
3572441
Title
Consistency of Chordal RCC-8 Networks
Author
Sioutis, Michael ; Koubarakis, Manolis
Author_Institution
Dept. of Inf. & Telecommun., Nat. & Kapodistrian Univ. of Athens, Athens, Greece
Volume
1
fYear
2012
Firstpage
436
Lastpage
443
Abstract
We consider chordal RCC-8 networks and show that we can check their consistency by enforcing partial path consistency with weak composition. We prove this by using the fact that RCC-8 networks with relations from the maximal tractable subsets H8, C8, and Q8 of RCC-8 have the patchwork property. The use of partial path consistency has important practical consequences that we demonstrate with the implementation of the new reasoner PyRCC∇, which is developed by extending the state of the art reasoner PyRCC8. Given an RCC-8 network with only tractable RCC-8 relations, we show that it can be solved very efficiently with PyRCC∇ by making its underlying constraint graph chordal and running path consistency on this sparse graph instead of the completion of the given network. In the same way, partial path consistency can be used as the consistency checking step in backtracking algorithms for networks with arbitrary RCC-8 relations resulting in very improved pruning for sparse networks while incurring a penalty for dense networks.
Keywords
artificial intelligence; graph theory; inference mechanisms; PyRCC8; backtracking algorith; chordal RCC-8 network; consistency checking; constraint graph chordal; partial path consistency; region connection calculus; sparse graph; Algebra; Approximation algorithms; Cognition; Data structures; Graph theory; Heuristic algorithms; Particle separators; RCC-8 topological relation; chordal graph; constraint network; partial path consistency; weak composition;
fLanguage
English
Publisher
ieee
Conference_Titel
Tools with Artificial Intelligence (ICTAI), 2012 IEEE 24th International Conference on
ISSN
1082-3409
Print_ISBN
978-1-4799-0227-9
Type
conf
DOI
10.1109/ICTAI.2012.66
Filename
6495078
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