Title
A Family of Directional Relation Models for Extended Objects
Abstract
In this paper, we introduce a family of expressive models for qualitative spatial reasoning with directions. The proposed family is based on the cognitive plausible cone-based model. We formally define the directional relations that can be expressed in each model of the family. Then, we use our formal framework to study two interesting problems: computing the inverse of a directional relation and composing two directional relations. For the composition operator, in particular, we concentrate on two commonly used definitions, namely, consistency-based and existential composition. Our formal framework allows us to prove that our solutions are correct. The presented solutions are handled in a uniform manner and apply to all of the models of the family.
Year
DOI
Venue
2007
10.1109/TKDE.2007.1046
IEEE Trans. Knowl. Data Eng.
Keywords
Field
DocType
spatial databases and gis,common-sense reasoning,composition operator,uniform manner,directional relation,spatial reasoning,cognitive systems,interesting problem,proposed family,extended objects,cone-based directional relations,qualitative spatial reasoning,expressive model,directional relation models,cognitive plausible cone-based model,inverse and composition operators.,formal framework,existential composition,relational model,robots,lenses,computational modeling,spatial database,common sense reasoning,indexing terms,computer science,navigation
Inverse,Data mining,Spatial intelligence,Intelligent decision support system,Computer science,Commonsense reasoning,Composition operator,Inverse problem,Artificial intelligence,Formal methods,Machine learning,Spatial database
Journal
Volume
Issue
ISSN
19
8
1041-4347
Citations 
PageRank 
References 
17
1.06
27
Authors
4
Name
Order
Citations
PageRank
Spiros Skiadopoulos1113965.60
Nikos Sarkas219411.71
Timos K. Sellis349701255.07
Manolis Koubarakis42790322.32