New PDF release: Advances in Spatial and Temporal Databases: 7th

By Jianwen Su, Haiyan Xu, Oscar H. Ibarra (auth.), Christian S. Jensen, Markus Schneider, Bernhard Seeger, Vassilis J. Tsotras (eds.)

ISBN-10: 354042301X

ISBN-13: 9783540423010

The 7th overseas Symposium on Spatial and Temporal Databases (SSTD 2001), held in Redondo seashore, CA, united states, July 12{15, 2001, introduced jointly major researchers and builders within the quarter of spatial, temporal, and spatio-temporal databases to debate the cutting-edge in spatial and temporal facts administration and purposes, and to appreciate the demanding situations and - seek instructions within the advancing sector of information administration for relocating gadgets. The symposium served as a discussion board for disseminating study in spatial and temporal facts administration, and for maximizing the interchange of information between researchers from the verified spatial and temporal database com- nities. The alternate of analysis principles and effects not just contributes to the tutorial area, but additionally bene ts the consumer and advertisement groups. SSTD 2001 was once the 7th within the sequence of symposia that began in Santa Barbara a dozen years in the past and has considering been held each years, in Zurich, Singapore, Portland (Maine), Berlin, and Hong Kong. by means of 1999, the sequence had turn into good validated because the most advantageous overseas discussion board committed exclusively to spatial database administration, and it used to be made up our minds to increase the scope of the sequence to additionally conceal temporal database administration. This prolonged scope was once selected due, partially, to the expanding significance of study that considers spatial and temporal points jointly.

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Extra resources for Advances in Spatial and Temporal Databases: 7th International Symposium, SSTD 2001 Redondo Beach, CA, USA, July 12–15, 2001 Proceedings

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1994; Del Bimbo et al. 1995; Del Bimbo and Pala 1997; Chu et al. 1998), multimedia databases (Al-Khatib et al. 1999; Yoshitaka and Ichikawa 1999), and video databases (Jiang and Elmagarmid 1998; Pissinou et al. 1998; Aslandogan and Yu 1999). In order to use spatial relations for similarity assessment, we need cognitively plausible methods to assess similarity between spatial relations. Cardinal directions play an important role in the specification of spatial configurations. For example, the query scene (Figure 1a) and the three scenes in the database (Figures 1b-d) contain objects A and B whose topological relation is always disjoint; therefore, the three scenes are topologically equivalent to the query scene.

Boehlen, C. S. Jensen, and B. : Spatiotemporal Database Support for Legacy Applications. In proceedings of ACM Symposium on Applied Computing, 1998. 226-234. T. S. Cheng and S. K. : A Pattern Matching Language for Spatiotemporal Databases. In Proceedings of the ACM Conference on Information and Knowledge Management (1994) 288-295. J. Chomicki and P. : Constraint-Based Interoperability of Spatiotemporal Dataases. In proceedings of the 5th International Symposium on Large Spatial Databases (1997) 142-161.

The values of sum (R01) and sum (R10) also lie in the interval [0, 1]. The value 0 for sum (R10) means there is no difference between matrices D0 and D1, whereas the value 1 means there is no commonality between matrices D0 and D1. Definition 5: The direction-difference (∆01) between two direction-relation matrices, D0 and D1, is defined as the difference of the two relations’ asymmetric differences (Equation 10). 01 01 10 ∆ := R − R (10) 01 The values of the elements in ∆ lie in the interval [-1, 1].

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Advances in Spatial and Temporal Databases: 7th International Symposium, SSTD 2001 Redondo Beach, CA, USA, July 12–15, 2001 Proceedings by Jianwen Su, Haiyan Xu, Oscar H. Ibarra (auth.), Christian S. Jensen, Markus Schneider, Bernhard Seeger, Vassilis J. Tsotras (eds.)


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