Query Indexing and Velocity Constrained Indexing: Scalable Techniques for Continuous Queries on Moving Objects

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SEA-CNN: scalable processing of continuous k-nearest neighbor queries in spatio-temporal databases (2005, methodology): “In this paper, we adopt the same scenario as the one in [22], where the query result is updated periodically.”
The new Casper: query processing for location services without compromising privacy (2006, neutral): “, [Cai et al. 2004; Gedik and Liu 2004; Mokbel et al. 2004; Prabhakar et al. 2002]).”
SINA: scalable incremental processing of continuous queries in spatio-temporal databases (2004, methodology): “, Q-index [19] and Frequently Updated R-tree [16]) (Section 7).”
Querying imprecise data in moving object environments (2003, methodology): “The model of object movement is based on the discussions in [16].”
Semantic (Web) Technology In Action: Ontology Driven Information Systems for Search, Integration and Analysis (2003, background): “VCI R-tree [30]: The main idea of the Velocity Constrained Indexing (VCI) is to add an additional field to each R-tree node.”