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XML压缩方法的比较分析 被引量:4

Comparative Analysis of XML Compression Methods
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摘要 搜集近几年提出的各种XML压缩方法,比较、分析具有代表性的XML压缩技术。实验表明,XMill拥有出色的压缩率、较少的压缩与解压时间、较低的内存消耗,以及最优的平均压缩性能,但不支持对压缩文档的直接查询。XGRIND与XPRESS的压缩性能不如XMill,却能较好地支持对压缩文档的直接查询。总结XML压缩方法各自的优点和不足,并探讨未来努力的方向。 This paper collects multifarious XML-conscious compression methods which are proposed recently, compares and analyzes the state-of-the-art XML-conscious compression technologies. The result of experiment shows that XMill has the best compression ratio, less compression and decompression times, lower memory consume, and obtains the best even compression performance. But it does not support to query compressed document directly. On the other hand, the compression performance of XGRIND and PRESS are far worse than XMill, but they support to query compressed document directly. It points out their merits and deficiency, and discusses further works.
出处 《计算机工程》 CAS CSCD 北大核心 2009年第11期26-28,31,共4页 Computer Engineering
基金 国家自然科学基金资助项目(60773055) 江西省教育厅科技计划基金资助项目(GJJ08223) 南昌航空大学学院基金资助项目(EA200606198)
关键词 XML压缩 WEB应用 查询处理 XML compression Web application query processing
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参考文献17

  • 1Liefke H, Suciu D. XMilI: An Efficient Compressor for XML Data[C]//Proc. of the ACM 3IGMOD International Conference on Management of Data. Dallas, Texas, USA: [s. n.], 2000: 153-164.
  • 2Sundaresan N, Moussa R. Algorithms and Programming Models for Efficient Representation of XML for Internet Applications[C]//Proc. of the 10th International WWW Conference. Hong Kong, China: Is. n.], 2001: 366-375.
  • 3Cheney J. Compressing XML with Multiplexed Hierarchical PPM Models[C]//Proc. of the IEEE Data Compression Conference. Snowbird, Utah, USA: [s. n.], 2000: 163-172.
  • 4Waiters D. XMLZip--XML Solutions[EB/OL]. (2008-01-12). http://www.xmls.com/.
  • 5Li Weimin. XCOMP: An XML Compression Tool[D]. Ontario, Canada: University of Waterloo, 2003.
  • 6Tolani P M, Haritsa J R. XGRIND: A Query-friendly XML Compressor[C]//Proc. of the 18th International Conference on Data Engineering. San Jose, California, USA: [s. n.], 2002.
  • 7Min J K, Park M J, Chung C W. XPRESS: A Queriable Compression for XML Data[C]//Proc. of the ACM SIGMOD International Conference on Management of Data. San Diego, California, USA: Is. n.], 2003.
  • 8Cheng J, Ng W. XQzip: Querying Compressed XML Using Structural Indexing[C]//Proc. of EDBT'04. Heraklion, Crete, Greece: [s. n.], 2004.
  • 9Daniel R, James C, Liu Ling. XPACK: A High-performance Web Document Encoding[EB/OL]. (2008-06-30). http://faculty.cs.tamu. edu/caverlee/pubs/rocco05xpack.pdf.
  • 10Arion A, Bonifati A, Costa G, et al. XQueC: Pushing Queries to Compressed XML Data[C]//Proc. of the 29th International Conference on Very Large Data Bases. Berlin, Germany: [s. n.], 2003.

同被引文献22

  • 1郭荷清,王增勋.XML数据绑定及对象序列化的应用研究[J].计算机应用与软件,2006,23(5):65-66. 被引量:14
  • 2郭荷清,刘正喜.使用压缩技术改善Web Service的传输性能[J].计算机应用与软件,2006,23(6):102-104. 被引量:4
  • 3杨容.XML压缩算法的分析与比较[J].电脑知识与技术,2007(4):32-35. 被引量:2
  • 4ABOOLIAN R, SUN Y, KOEHLER G J. A location-allocation problem for a Web services provider in a competitive market[ J]. European Journal of Operational Research, 2009, 194(1) :64 -77.
  • 5JEONG B, LEE D, LEE J, et al. Support for seamless data exchauges between Web services through information mapping analysis using kernel methods[ J]. Expert Systems with Applications 2009, 36 (1) :358 -365.
  • 6Tolani P M, Haritsa J R. XGRIND: A Query-friendly XML Compressor[C] //Proceedings of the 18th International Conference on Data Engineering. San Jose, California, USA: [s. n.] , 2002.
  • 7Min Jun-Ki, Park Myung-Jae, Chung Chin-Wan. XPRESS: A Queriable Compression for XML Data[C] //Proceedings of the ACM SIGMOD International Conference on Management of Data. San Diego, California, USA: [s. n.] , 2003.
  • 8James C, Wilfred N. XQzip: Querying Compressed XML Using Structural Indexing[C] //Proceedings of EDBT’04. Heraklion, Crete, Greece: [s. n.] , 2004.
  • 9Arion A, Bonifati A, Costa G, et al. XQueC: Pushing Queries to Compressed XML Data[C] //Proceedings of the 29th International Conference on Very Large Data Bases. Berlin, Germany: [s. n.] , 2003.
  • 10University of Washington. XML Data Repository[EB/OL]. (2010- 02-12). http://www.cs.washington.edu/research/xmldatasets/.

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