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Journal of the ACM (JACM)
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CIKM '96 Proceedings of the fifth international conference on Information and knowledge management
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ACM Transactions on Information Systems (TOIS)
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IEEE Transactions on Knowledge and Data Engineering
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IEEE Transactions on Knowledge and Data Engineering
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GIS '03 Proceedings of the 11th ACM international symposium on Advances in geographic information systems
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The VLDB Journal — The International Journal on Very Large Data Bases
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VLDB '06 Proceedings of the 32nd international conference on Very large data bases
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VLDB '03 Proceedings of the 29th international conference on Very large data bases - Volume 29
Voronoi-based K nearest neighbor search for spatial network databases
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
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EDBT'06 Proceedings of the 10th international conference on Advances in Database Technology
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The VLDB Journal — The International Journal on Very Large Data Bases
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Proceedings of the 20th ACM international conference on Information and knowledge management
Top-k spatial keyword queries on road networks
Proceedings of the 15th International Conference on Extending Database Technology
Spatial-temporal query homogeneity for KNN object search on road networks
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
G-tree: an efficient index for KNN search on road networks
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
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In this paper, we present ROAD, a general framework to evaluate Location-Dependent Spatial Queries (LDSQ)s that searches for spatial objects on road networks. By exploiting search space pruning technique and providing a dynamic object mapping mechanism, ROAD is very efficient and flexible for various types of queries, namely, range search and nearest neighbor search, on objects over large-scale networks. ROAD is named after its two components, namely, Route Overlay and Association Directory, designed to address the network traversal and object access aspects of the framework. In ROAD, a large road network is organized as a hierarchy of interconnected regional sub-networks (called Rnets) augmented with 1) shortcuts for accelerating network traversals; and 2) object abstracts for guiding traversals. In this paper, we present (i) the Rnet hierarchy and several properties useful to construct Rnet hierarchy, (ii) the design and implementation of the ROAD framework, (iii) efficient object search algorithms for various queries, and (iv) incremental update techniques for framework maintenance in presence of object and network changes. We conducted extensive experiments with real road networks to evaluate ROAD. The experiment result shows the superiority of ROAD over the state-of-the-art approaches.