In this paper, we introduce a novel data model for representing symbolic trajectories along with a pattern language enabling both the matching and the rewriting of trajectories. We illustrate in particular the trajectory data type and two operations for querying symbolic trajectories inside the database system Secondo. As an important application of our theory, the classification and depiction of a set of real trajectories according to several criteria is demonstrated. © Springer-Verlag 2013.
CITATION STYLE
Valdés, F., Damiani, M. L., & Güting, R. H. (2013). Symbolic trajectories in Secondo: Pattern matching and rewriting. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7826 LNCS, pp. 450–453). https://doi.org/10.1007/978-3-642-37450-0_34
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