Querying Multigranular Spatio-temporal Objects

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Title: Querying Multigranular Spatio-temporal Objects
Authors: Camossi, Elena
Bertolotto, Michela
Bertino, Elisa
Permanent link: http://hdl.handle.net/10197/1441
Date: 5-Sep-2008
Abstract: The integrated management of both spatial and temporal components of information is crucial in order to extract significant knowledge from datasets concerning phenomena of interest to a large variety of applications. Moreover, multigranularity, i.e., the capability of representing information at different levels of detail, enhances the data modelling flexibility and improves the analysis of information, enabling to zoom-in and zoom-out spatio-temporal datasets. Relying on an existing multigranular spatio-temporal extension of the ODMG data model, in this paper we describe the design of a multigranular spatio-temporal query language. We extend OQL value comparison and object navigation in order to access spatio-temporal objects with attribute values defined at different levels of detail.
Funding Details: Irish Research Council for Science, Engineering & Technology; Science Foundation Ireland
Type of material: Conference Publication
Publisher: Springer-Verlag
Copyright (published version): Springer-Verlag Berlin Heidelberg 2008
Keywords: Spatio-temporal query language;Spatial and temporal granularities
Subject LCSH: Query languages (Computer science)
Granular computing
DOI: 10.1007/978-3-540-85654-2_36
Language: en
Status of Item: Peer reviewed
Is part of: Bhowmick, S.S., Küng, J., and Wagner, R. (eds.) Database and Expert Systems Applications : 19th International Conference, DEXA 2008, Turin, Italy, 1-5 September 2008, proceedings
Conference Details: Presented at the 19th International Conference on Database and Expert Systems Application (DEXA 2008), Turin, Italy, 1-5 September 2008
Appears in Collections:Computer Science Research Collection

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