HEAL DSpace

A family of directional relation models for extended objects

Αποθετήριο DSpace/Manakin

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dc.contributor.author Skiadopoulos, S en
dc.contributor.author Sarkas, N en
dc.contributor.author Sellis, T en
dc.contributor.author Koubarakis, M en
dc.date.accessioned 2014-03-01T01:25:40Z
dc.date.available 2014-03-01T01:25:40Z
dc.date.issued 2007 en
dc.identifier.issn 1041-4347 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/17718
dc.subject Cone-based directional relations en
dc.subject Inverse and composition operators en
dc.subject Spatial databases and GIS en
dc.subject.classification Computer Science, Artificial Intelligence en
dc.subject.classification Computer Science, Information Systems en
dc.subject.classification Engineering, Electrical & Electronic en
dc.subject.other Composition operators en
dc.subject.other Cone-based directional relations en
dc.subject.other Spatial databases en
dc.subject.other Computational methods en
dc.subject.other Computer operating systems en
dc.subject.other Geographic information systems en
dc.subject.other Problem solving en
dc.subject.other Relational database systems en
dc.subject.other Mathematical models en
dc.title A family of directional relation models for extended objects en
heal.type journalArticle en
heal.identifier.primary 10.1109/TKDE.2007.1046 en
heal.identifier.secondary http://dx.doi.org/10.1109/TKDE.2007.1046 en
heal.language English en
heal.publicationDate 2007 en
heal.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. © 2007 IEEE. en
heal.publisher IEEE COMPUTER SOC en
heal.journalName IEEE Transactions on Knowledge and Data Engineering en
dc.identifier.doi 10.1109/TKDE.2007.1046 en
dc.identifier.isi ISI:000248223300009 en
dc.identifier.volume 19 en
dc.identifier.issue 8 en
dc.identifier.spage 1116 en
dc.identifier.epage 1129 en


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