Cultural advice

The Australian National University acknowledges, celebrates and pays our respects to the Ngunnawal and Ngambri people of the Canberra region and to all First Nations Australians on whose traditional lands we meet and work, and whose cultures are among the oldest continuing cultures in human history.

Aboriginal and Torres Strait Islander peoples are advised that ANU Library collections may include images, names, voices, and other representations of deceased persons.

Material in the collection may contain terms, language or views that reflect the period in which the item was created and may be considered inappropriate today.

Qualitative Reasoning about Directions in Semantic Spaces

Simple item page
dc.contributor.authorSchockaert, Steven
dc.contributor.authorLee, Jae
dc.coverage.spatialBuenos Aires, Argentina
dc.date.accessioned2016-06-14T23:21:15Z
dc.date.createdJuly 25-31, 2015
dc.date.issued2015
dc.date.updated2016-06-14T09:03:29Z
dc.description.abstractWe introduce a framework for qualitative reasoning about directions in high-dimensional spaces, called EER, where our main motivation is to develop a form of common sense reasoning about semantic spaces. The proposed framework is, however, more general; we show how qualitative spatial reasoning about points with several existing calculi can be reduced to the realisability problem for EER (or REER for short), including LR and calculi for reasoning about betweenness, collinearity and parallelism. Finally, we propose an efficient but incomplete inference method, and show its effectiveness for reasoning with EER as well as reasoning with some of the aforementioned calculi.
dc.identifier.isbn9781577357384
dc.identifier.urihttp://hdl.handle.net/1885/103796
dc.publisherAAAI Press
dc.relation.ispartofseries24th International Joint Conference on Artificial Intelligence IJCAI 2015
dc.rightsProblems uploading documemt fixed 17/12/15, entered.
dc.sourceExploiting Symmetries by Planning for a Descriptive Quotient
dc.titleQualitative Reasoning about Directions in Semantic Spaces
dc.typeConference paper
local.bibliographicCitation.lastpage3213
local.bibliographicCitation.startpage3207
local.contributor.affiliationSchockaert, Steven, Cardiff University
local.contributor.affiliationLee, Jae, College of Engineering and Computer Science, ANU
local.contributor.authoruidLee, Jae, u1001357
local.description.embargo2037-12-31
local.description.notesImported from ARIES
local.description.refereedYes
local.identifier.absfor080109 - Pattern Recognition and Data Mining
local.identifier.absseo970108 - Expanding Knowledge in the Information and Computing Sciences
local.identifier.ariespublicationu4334215xPUB1526
local.identifier.scopusID2-s2.0-84949780070
local.type.statusPublished Version

Downloads

Original bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
01_Schockaert_Qualitative_Reasoning_about_2015.pdf
Size:
903.74 KB
Format:
Adobe Portable Document Format
Download

Collections

ANU Research Publications

DSpace software copyright © 2002-2026 LYRASIS