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        <identifier>oai:meral.edu.mm:recid/4730</identifier>
        <datestamp>2021-12-13T00:25:49Z</datestamp>
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          <dc:title>Light Materialized Path View for Location Based Services</dc:title>
          <dc:creator>Ohsawa, Yutaka</dc:creator>
          <dc:creator>Hlaing, Aye Thida</dc:creator>
          <dc:description>This paper proposes a shortest path searchalgorithm based on materialized-path-viewconstructed only on partitioned subgraphs, and itsthree variations referring different levels of distancematerialization. A road network is partitioned into thesubgraphs, and the distance materialization isperformed only in the subgraphs. Therefore, theamount of pre-computed data is greatly reduced. Theshortest path is retrieved by a best-first-search using apriority queue. The difference between threevariations of the algorithm is the materialization levelof the distance in the subgraphs. The performance ofthem is evaluated comparing with A* algorithm andHEPV experimentally. Through the results, we showthe proposed algorithm outperforms the conventionalmethods.</dc:description>
          <dc:date>2014-02-17</dc:date>
          <dc:identifier>http://hdl.handle.net/20.500.12678/0000004730</dc:identifier>
          <dc:identifier>https://meral.edu.mm/records/4730</dc:identifier>
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