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Advances in Spatial and Temporal Databases: 7th by Jianwen Su, Haiyan Xu, Oscar H. Ibarra (auth.), Christian S.

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

The 7th overseas Symposium on Spatial and Temporal Databases (SSTD 2001), held in Redondo seashore, CA, united states, July 12{15, 2001, introduced jointly prime researchers and builders within the zone of spatial, temporal, and spatio-temporal databases to debate the cutting-edge in spatial and temporal info administration and purposes, and to appreciate the demanding situations and - seek instructions within the advancing zone of knowledge administration for relocating gadgets. The symposium served as a discussion board for disseminating learn in spatial and temporal facts administration, and for maximizing the interchange of information between researchers from the tested spatial and temporal database com- nities. The trade of analysis principles and effects not just contributes to the tutorial enviornment, but in addition bene ts the consumer and advertisement groups. SSTD 2001 was once the 7th within the sequence of symposia that all started in Santa Barbara a dozen years in the past and has because been held each years, in Zurich, Singapore, Portland (Maine), Berlin, and Hong Kong. by means of 1999, the sequence had develop into good verified because the ideal foreign discussion board dedicated exclusively to spatial database administration, and it used to be made up our minds to increase the scope of the sequence to additionally hide temporal database administration. This prolonged scope used to be selected due, partly, to the expanding significance of analysis that considers spatial and temporal elements 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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Both functions will be registered as a User Defined Functions (UDFs) [9] attached to the M_O type. 1 Definition of the Extended Functionality The problem we address in this paper is two fold: i. the definition of a concise set of data types for moving objects and ii. the design of a small but powerful set of query predicates. The data types have been defined in the previous section. Here we will define the query predicates in terms of SQL extensions. The definition of the query predicates embedded in an SQL statement follows: SELECT LOC(id, t) | WHEN_AT(id, location-L) | FROM T WHERE id WITHIN (DISTANCE s | TRAVELTIME t) FROM R [(ALONG EXISTING PATH) | (ALONG SHORTEST PATH) ] [(ALWAYS BETWEEN) | (SOMETIMES BETWEEN) starttime AND endtime] where: - LOC(id, t) is the location on the map of a moving object identified by id, at a specific time t.

Definition 2: The sum of a matrix P is defined as the sum of the values of it elements (Equation 4). sum(P) := ∑∑ ∀i 01 Pi, j ∀j (4) 0 Definition 3: The commonality C between two direction-relation matrices, D and D1, is a 3x3 matrix defined as the minimum of each pair of corresponding element values (Equation 5). Similarity of Cardinal Directions 01 ∀i , j : 0 1 C ij := min(D ij , Dij ) 43 (5) The values of the elements in C01 lie in the interval [0, 1]. The value of sum (C01) also lies in the interval [0, 1].

This work was partially supported by the National Imagery and Mapping Agency under grant number NMA202-97-1-1023. Max Egenhofer's research is further supported by the National Science Foundation under grant numbers IRI-9613646, IIS-9970123, and EPS-9983432; by the National Imagery and Mapping Agency under grant NMA201-00-1-2009; by the National Institute of Environmental Health Sciences, NIH, under grant number 1 R 01 ES09816-01, and by a contract with Lockheed Martin M&DS. S. Jensen et al. ): SSTD 2001, LNCS 2121, pp.

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