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Ning Jing, YunWu Huang, Elke A. Rundensteiner, "Hierarchical Encoded Path Views for Path Query Processing: An Optimal Model and Its Performance Evaluation," IEEE Transactions on Knowledge and Data Engineering, vol. 10, no. 3, pp. 409432, May/June, 1998.  
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@article{ 10.1109/69.687976, author = {Ning Jing and YunWu Huang and Elke A. Rundensteiner}, title = {Hierarchical Encoded Path Views for Path Query Processing: An Optimal Model and Its Performance Evaluation}, journal ={IEEE Transactions on Knowledge and Data Engineering}, volume = {10}, number = {3}, issn = {10414347}, year = {1998}, pages = {409432}, doi = {http://doi.ieeecomputersociety.org/10.1109/69.687976}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }  
RefWorks Procite/RefMan/Endnote  x  
TY  JOUR JO  IEEE Transactions on Knowledge and Data Engineering TI  Hierarchical Encoded Path Views for Path Query Processing: An Optimal Model and Its Performance Evaluation IS  3 SN  10414347 SP409 EP432 EPD  409432 A1  Ning Jing, A1  YunWu Huang, A1  Elke A. Rundensteiner, PY  1998 KW  Path queries KW  path view materialization KW  hierarchical path search KW  GIS databases KW  graph partitioning. VL  10 JA  IEEE Transactions on Knowledge and Data Engineering ER   
Abstract—Efficient path computation is essential for applications such as intelligent transportation systems (ITS) and network routing. In ITS navigation systems, many path requests can be submitted over the same, typically huge, transportation network within a small time window. While path precomputation (path view) would provide an efficient path query response, it raises three problems which must be addressed: 1) precomputed paths exceed the current computer main memory capacity for large networks; 2) diskbased solutions are too inefficient to meet the stringent requirements of these target applications; and 3) path views become too costly to update for large graphs (resulting in outofdate query results). We propose a
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