Indexing and querying moving objects in indoor spaces

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

Abstract

Spatial database indexes are basically designed to speed up retrievals where it is usually assumed that the objects of interest are constant unless conspicuously updated. Therefore, capturing continuously moving objects in traditional spatial indexes will require frequent updates of the locations of these objects. This paper outlines a PhD thesis that addresses the challenges of indexing the moving objects in indoor spaces. The main goal of this thesis is to develop new indoor index structures for moving objects focusing on the following four challenges: (1) introducing a queries taxonomy for moving objects to illustrate the query types for the databases of moving objects; (2) introducing an adjacency index structure for moving objects in indoor spaces; (3) capturing both spatial and temporal properties in an indoor data structure; (4) introducing an index structure for moving objects in indoor spaces that is based on a specific type of movement pattern.

Original languageEnglish
Title of host publication2013 IEEE 29th International Conference on Data Engineering Workshops, ICDEW 2013
Pages318-321
Number of pages4
DOIs
StatePublished - 2013
Externally publishedYes
Event2013 IEEE 29th International Conference on Data Engineering Workshops, ICDEW 2013 - Brisbane, QLD, Australia
Duration: 8 Apr 201311 Apr 2013

Publication series

NameProceedings - International Conference on Data Engineering

Conference

Conference2013 IEEE 29th International Conference on Data Engineering Workshops, ICDEW 2013
Country/TerritoryAustralia
CityBrisbane, QLD
Period8/04/1311/04/13

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