Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/30979
Full metadata record
DC FieldValueLanguage
dc.contributor.authorHAESEVOETS, Sofie-
dc.contributor.authorKUIJPERS, Bart-
dc.contributor.authorRevesz, Peter Z.-
dc.date.accessioned2020-04-14T11:46:34Z-
dc.date.available2020-04-14T11:46:34Z-
dc.date.issued2020-
dc.date.submitted2020-03-28T13:42:52Z-
dc.date.submitted2020-07-28T10:33:52Z-
dc.date.submitted2020-07-28T10:04:46Z-
dc.identifier.citationGEOINFORMATICA, 24(4), p. 849-879-
dc.identifier.issn1384-6175-
dc.identifier.urihttp://hdl.handle.net/1942/30979-
dc.description.abstractIf the same land area is photographed from two different angles, then a computer can recognize the two images to show the same land area by proving that the images are affine-invariant. In practice, images are abstracted as a type of spatial data that is a finite set of triangles. Hence we propose a simple affine-generic query language with variables over finite sets of triangles. The proposed query language is intuitive and has the same expressive power as the affine-generic fragment of first-order logic over the reals on triangle databases.-
dc.language.isoen-
dc.publisherSPRINGER-
dc.rightsSpringer Science+Business Media, LLC, part of Springer Nature 2020-
dc.subject.otherAffine-invariant queries-
dc.subject.otherSpatial query languages-
dc.subject.otherWeak perspective assumption-
dc.titleAffine-Invariant Querying of Spatial Data using a Triangle-Based Logic-
dc.typeJournal Contribution-
dc.identifier.epage879-
dc.identifier.issue4-
dc.identifier.spage849-
dc.identifier.volume24-
local.format.pages31-
local.bibliographicCitation.jcatA1-
dc.description.notesrevesz@cse.unl.edu-
dc.description.notessofie.haesevoets@hexagon.com; bart.kuijpers@uhasselt.be;-
dc.description.notesKuijpers, B (corresponding author), Hasselt Univ, Data Sci Inst, Databases & Theoret Comp Sci Res Grp, B-3590 Diepenbeek, Belgium.-
dc.description.otherKuijpers, B (corresponding author), Hasselt Univ, Data Sci Inst, Databases & Theoret Comp Sci Res Grp, B-3590 Diepenbeek, Belgium. sofie.haesevoets@hexagon.com; bart.kuijpers@uhasselt.be; revesz@cse.unl.edu-
local.publisher.placeVAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS-
local.type.refereedRefereed-
local.type.specifiedArticle-
dc.source.typeArticle-
dc.identifier.doi10.1007/s10707-020-00402-1-
dc.identifier.isiWOS:000534541900001-
dc.identifier.eissn1573-7624-
local.provider.typePdf-
local.provider.typewosris-
local.provider.typewosris-
local.uhasselt.uhpubyes-
local.description.affiliation[Kuijpers, Bart] Hasselt Univ, Data Sci Inst, Databases & Theoret Comp Sci Res Grp, B-3590 Diepenbeek, Belgium.-
local.description.affiliation[Haesevoets, Sofie] Hexagon Geospatial, Arenberg Res Pk, Leuven, Belgium.-
local.description.affiliation[Revesz, Peter Z.] Univ Nebraska, Dept Comp Sci & Engn, Avery Hall 358, Lincoln, NE 68588 USA.-
local.uhasselt.internationalyes-
item.validationecoom 2021-
item.contributorHAESEVOETS, Sofie-
item.contributorKUIJPERS, Bart-
item.contributorRevesz, Peter Z.-
item.fullcitationHAESEVOETS, Sofie; KUIJPERS, Bart & Revesz, Peter Z. (2020) Affine-Invariant Querying of Spatial Data using a Triangle-Based Logic. In: GEOINFORMATICA, 24(4), p. 849-879.-
item.fulltextWith Fulltext-
item.accessRightsRestricted Access-
crisitem.journal.issn1384-6175-
crisitem.journal.eissn1573-7624-
Appears in Collections:Research publications
Files in This Item:
File Description SizeFormat 
Haesevoets2020_Article_Affine-invariantQueryingOfSpat.pdf
  Restricted Access		Published version2.23 MBAdobe PDFView/Open    Request a copy
Show simple item record

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.