Comparison of access methods for time-evolving data
ACM Computing Surveys (CSUR)
Supporting User-Defined Granularities in a Spatiotemporal Conceptual Model
Annals of Mathematics and Artificial Intelligence
Designing Access Methods for Bitemporal Databases
IEEE Transactions on Knowledge and Data Engineering
Accurate Modeling of Region Data
IEEE Transactions on Knowledge and Data Engineering
Hashing Methods for Temporal Data
IEEE Transactions on Knowledge and Data Engineering
CHOROCHRONOS - Research on Spatio-temporal Database Systems
ISD '99 Selected Papers from the International Workshop on Integrated Spatial Databases, Digital Inages and GIS
Light-Weight Indexing of General Bitemporal Data
SSDBM '00 Proceedings of the 12th International Conference on Scientific and Statistical Database Management
Modeling location-based services with subject spaces
CASCON '03 Proceedings of the 2003 conference of the Centre for Advanced Studies on Collaborative research
A query interface for an event gazetteer
Proceedings of the 4th ACM/IEEE-CS joint conference on Digital libraries
An efficient method for indexing now-relative bitemporal data
ADC '04 Proceedings of the 15th Australasian database conference - Volume 27
The POINT approach to represent now in bitemporal databases
Journal of Intelligent Information Systems
AIRSTD: An Approach for Indexing and Retrieving Spatio-Temporal Data
Advanced Internet Based Systems and Applications
Second order ambient intelligence
Journal of Ambient Intelligence and Smart Environments
Modeling Spatial and Temporal Set-Based Constraints During Conceptual Database Design
Information Systems Research
An implicit approach to deal with periodically repeated medical data
Artificial Intelligence in Medicine
Second order ambient intelligence
Journal of Ambient Intelligence and Smart Environments
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Temporal, spatial and spatiotemporal queries are inherently multidimensional, combining predicates on explicit attributes with predicates on time dimension(s) and spatial dimension(s). Much confusion has prevailed in the literature on access methods because no consistent notation exists for referring to such queries. As a contribution towards eliminating this problem, we propose a new and simple notation for spatiotemporal queries. The notation aims to address the selection-based spatiotemporal queries commonly studied in the literature of access methods. The notation is extensible and can be applied to more general multidimensional, selection-based queries.