A foundation for representing and querying moving objects

By R. H. Güting, M. Böhlen, Martin Erwig, Christian S. Jensen, N. Lorentzos, Markus Schneider, Michalis Vazirgiannis. ACM Transactions on Database Systems, 2000

859 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Signal Processing

View Paper: https://www.semanticscholar.org/paper/8cb35467a1c76b884cc012f2c7dbd80fa04e11ca

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Citations in the corpus

Indexing Large Trajectory Data Sets With SETI (2003, methodology): “A commonly used model for representing trajectory data approximates the motion of an object as a straight line segment between two consecutive updates [11, 14, 19, 21, 22, 24].”
A conceptual view on trajectories (2008, methodology): “Following the data types approach of G˜uting’s earlier work [ 15 ], the authors have deflned and implemented on SECONDO [14] a set of data types for periodic movements, in particular the pmpoint type (periodic moving point).”
Never Walk Alone: Uncertainty for Anonymity in Moving Objects Databases (2008, background): “Several different MOD problems have been tackled, ranging from indexing [12], [13], [14], representing and querying [15], [16], [ 17 ], updating and modelling imprecision and communication costs [3], [18].”
Spatiotemporal Compression Techniques for Moving Point Objects (2004, neutral): “See, for instance [2,3,4,5,6].”
Novel Approaches to the Indexing of Moving Object Trajectories (2000, methodology): “” (Güting et al. 2000).”
Unveiling the complexity of human mobility by querying and mining massive trajectory data (2011, background): “11; the upper left square contains the data × data primitives, corresponding to the classical spatio-temporal primitives defined in [21].”
A clustering-based approach for discovering interesting places in trajectories (2008, methodology): “Güting (GÜTING et al., 2000; GÜTING; SCHNEIDER, 2005; BECKER; JENSEN; SU, 2007) presents a full approach over modeling moving object databases (MODs).”
Query Indexing and Velocity Constrained Indexing: Scalable Techniques for Continuous Queries on Moving Objects (2002, background): “Spatio-temporal database models to support moving objects, spatio-temporal types and supporting operations have been developed in [12, 13].”
Managing uncertainty in moving objects databases (2004, neutral): “G¨OHLEN,M. H., ERWIG, M., JENSEN,C., LORENTZOS,N., SCHNEIDER, M., AND VAZIRGIANNIS, UTING,R. H., B¨ M. 2000.”