Advances in Web-Age Information Management: 7th by Kun-Lung Wu, Shyh-Kwei Chen, Philip S. Yu (auth.), Jeffrey PDF

By Kun-Lung Wu, Shyh-Kwei Chen, Philip S. Yu (auth.), Jeffrey Xu Yu, Masaru Kitsuregawa, Hong Va Leong (eds.)

This ebook constitutes the refereed complaints of the seventh foreign convention on Web-Age info administration, WAIM 2006, held in Hong Kong, China in June 2006.

The 50 revised complete papers provided have been conscientiously reviewed and chosen from 290 submissions. The papers are geared up in topical sections on, indexing, XML question processing, details retrieval, sensor networks and grid computing, peer-to-peer platforms, net companies, internet looking out, caching and relocating items, temporal database, clustering, clustering and category, info mining, facts movement processing, XML and semistructured facts, info distribution and question processing, and complex applications.

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The increased need for spatial data for location-based services or geographical information systems (GISs) in mobile computing has led to more research on spatial indexing, such as R-tree. The R-tree variants approximate spatial data to a minimal bounding rectangle (MBR). Most studies are based on adding or changing various options in R-tree, while a few studies have focused on increasing search performance via MBR compression. This study proposes a novel MBR compression scheme that uses semi-approximation (SA) MBRs and SAR-tree.

End of while //end of if //end of for- CanList 20. } // end of for - partList End Retrieve Fig. 7. Retrieval algorithm for moving object trajectories An Efficient Indexing Scheme for Moving Objects’ Trajectories on Road Networks 23 the partition table of COTSS. We obtain the partList by merging the partitions acquired from POTSS and those from COTSS. Next, we generate a query signature (QSig) from a query trajectory’s segments. For each partition of the partList, we search the signatures in the signature information area and acquire a list of candidates (CanList).

Obtain the first segment ESi of Tek } 18. if(#matches=#qseg)MOidList=MOidList ∪ {TEk’s MOid} 19. } } } //end of while //end of if //end of for- CanList 20. } // end of for - partList End Retrieve Fig. 7. Retrieval algorithm for moving object trajectories An Efficient Indexing Scheme for Moving Objects’ Trajectories on Road Networks 23 the partition table of COTSS. We obtain the partList by merging the partitions acquired from POTSS and those from COTSS. Next, we generate a query signature (QSig) from a query trajectory’s segments.

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