By Christophe Claramunt, Markus Schneider, Raymond Chi-Wing Wong, Li Xiong, Woong-Kee Loh, Cyrus Shahabi, Ki-Joune Li

This e-book constitutes the refereed court cases of the 14th foreign Symposium on Spatial and Temporal Databases, SSTD 2015, held in Hong Kong, China, in August 2015.

The 24 revised complete papers including eight demos awarded have been conscientiously reviewed and chosen from sixty four submissions. The convention application has the scope on following matters: reachability question and course question, opposite question and indexing, navigation and routing, trajectory research, spatio-temporal methods, privateness and matching, similarity seek and trend, key-phrase and pattern.

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Extra info for Advances in Spatial and Temporal Databases: 14th International Symposium, SSTD 2015, Hong Kong, China, August 26-28, 2015. Proceedings

Example text

HLDB [18] stores the calculated hub labels for continental road networks in a commercial database system and translates the typical HL distance query between two vertices to plain SQL commands. Moreover, it showed how to efficiently answer kNN queries and k-best via points, again by means of SQL queries. Recently, HopDB [25] proposed a customized solution that utilizes secondary storage also during preprocessing. Unfortunately, both methods have their shortcomings. HLDB has only been tested on road networks and consequently small labels sizes (<100).

1. A sample Graph G Vertex Hub Labels (h,d) 0 (0,0) 1 (0,1), (1,0) 2 (0,1), (2,0) 3 (0,1), (3,0) 4 (0,1), (4,0) 5 (0,2), (1,1), (5,0) 6 (0,2), (1,1), (6,0) 7 (0,2), (1,1), (7,0) 8 (0,2), (2,1), (8,0) 9 (0,2), (3,1), (9,0) 10 (0,2), (4,1), (10,0) 11 (0,3), (1,2), (5,1), (11,0) 12 (0,3), (1,2), (6,1), (12,0) 13 (0,3), (1,2), (7,1), (13,0) challenges for adapting those previous works, (i) in the context of large-scale graphs for [1] and (ii) within the boundaries of a relational database management system (RDBMS) for [21].

2 {0, 2} {1, 0} ... ... 7 {0, 1, 7} {2, 1, 0} ... ... dist ... 1 0 ... 2 1 0 ... 2. 1. V2v query for HLDB 1 2 3 4 5 SELECT MIN ( n1 . dist + n2 . dist ) FROM forward n1 , forward n2 WHERE n1 . v = s AND n2 . v = t AND n1 . hub = n2 . hub ; 27 1 2 3 4 5 6 7 8 9 SELECT MIN ( n1 . d + n2 . d ) FROM /* Expand hubs , dists arrays */ ( SELECT UNNEST ( hubs ) AS hub , UNNEST ( dists ) AS d FROM forwcold WHERE v = s ) n1 , ( SELECT UNNEST ( hubs ) AS hub , UNNEST ( dists ) AS d FROM forwcold WHERE v = t ) n2 WHERE n1 .

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