DOMINO: databases fOr MovINg Objects tracking
SIGMOD '99 Proceedings of the 1999 ACM SIGMOD international conference on Management of data
A data model and data structures for moving objects databases
SIGMOD '00 Proceedings of the 2000 ACM SIGMOD international conference on Management of data
Modeling and Querying Moving Objects
ICDE '97 Proceedings of the Thirteenth International Conference on Data Engineering
The WorlInfo Assistant: Spatio-Temporal Information Integration on the Web
Proceedings of the 27th International Conference on Very Large Data Bases
Logical Data Modeling of SpatioTemporal Applications: Definitions and a Model
IDEAS '98 Proceedings of the 1998 International Symposium on Database Engineering & Applications
GeoWorlds: integrating GIS and digital libraries for situation understanding and management
The New Review of Hypermedia and Multimedia
A meta-index for querying distributed moving object database servers
Information Systems
Searching moving objects in a spatio-temporal distributed database servers system
ODBASE'06/OTM'06 Proceedings of the 2006 Confederated international conference on On the Move to Meaningful Internet Systems: CoopIS, DOA, GADA, and ODBASE - Volume Part II
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Due to the recent growth of the World Wide Web, numerous spatio-temporal applications can obtain their required information from publicly available web sources. We consider those sources maintaining moving objects with predefined paths and schedules, and investigate different plans to perform queries on the integration of these data sources efficiently. Examples of such data sources are networks of railroad paths and schedules for trains running between cities connected through these networks. A typical query on such data sources is to find all trains that pass through a given point on the network within a given time interval. We show that traditional filter+semi-join plans would not result in efficient query response times on distributed spatio-temporal sources. Hence, we propose a novel spatio-temporal filter, called deviation filter, that exploits both the spatial and temporal characteristics of the sources in order to improve the selectivity. We also report on our experiments in comparing the performances of the alternative query plans and conclude that the plan with spatio-temporal filter is the most viable and superior plan.