期刊文献+

一种扩展的基于XML的概率数据模型 被引量:3

Extended probabilistic data model based on XML
下载PDF
导出
摘要 概率数据模型研究已受到广泛关注,但对于多数据源情况下的概率数据管理却缺乏研究,在已有模型的基础上,提出了一种扩展的基于XML的概率数据模型,使概率查询操作不再局限于模型内部,而是充分利用各数据源自身的信用度及规模等信息,支持多个XML概率数据文档间的归并与查询,此外该模型还解决了用XML表示概率数据所引入的数据依赖问题. The research on the probabilistic data model has received extensive attentions except for the management of probabilistic data from various data sources. An extended XML probabilistic data model was proposed based on an existent model. This new model is no longer confined to evaluate query operation in the internal model. Instead, it makes full use of the data sources' own credit degrees, size and other information to support query and merging operations between different XML documents. Moreover, the data dependent problem caused by importing probability in XML was also resolved in the new model.
出处 《山东大学学报(理学版)》 CAS CSCD 北大核心 2007年第9期75-79,共5页 Journal of Shandong University(Natural Science)
基金 国家自然科学基金资助项目(60673130) 教育部科学技术研究重点资助项目(03102) 山东省自然基金资助项目(Y2004G07 Y2006G29 11150005200327) 山东省重大科技专项资助项目(2004GG4201022) 山东省中青年科学家奖励基金资助项目(2005BS01002) 山东省科技攻关计划资助项目(2005GG3201088) 山东省科学技术发展计划国际合作资助项目(2006GG2201052)
关键词 概率 XML 归并 数据依赖 信用 probabilistic XML merge data dependence credit
  • 相关文献

参考文献6

  • 1Debabrata Dey, Sumlt Sarkar. A probabilistic relational model and algebra[J]. ACM Transactions on Database Systems, 1996, 21:340-370.
  • 2Thomas Eiter, Thomas Lukasiewicz, MichaelWalter. Extension of the relational algebra to probabilistic complex values[C]//Proc of FoIKS. Burg (Spreewald) Germany: Springer, 2000: 94-115.
  • 3Laks V S Lakshmanan, Nicola Leone, Robert Ross, et al. Probview: an extensible probabilistic database system [J]. ACM Transactions on Database Systems, 1997, 22(3):419- 469.
  • 4HUNG E, GETOOR L, SUBRAHMANIAN V S. PXML: a probabilistic semistructured data model and algebra[C]// Proceedings of the 19th International Conference on Data Engineer ing. Bangalore, India: IEEE Computer Society Press, 2003: 467-482.
  • 5NIERMAN A, JAGADISH H V. ProTDB: Probabilistic data in XML[C]// Proceeding of the 28th International Conference on Very Large Data Bases. Hong Kong: Morgan Kaufmann Publishers, 2002:646-657.
  • 6JAGADISH H V, LAKSHMANAN Laks V S, Divesh Srivastava, et al. TAX: A tree algebra for XML[C]// Proc DBPL Conf. Rome Italy: Soringer-Verlag, 2001: 149-164.

同被引文献17

  • 1薛华伯,许蕴山.杂波预处理联合概率数据关联算法[J].微计算机信息,2008,24(6):252-253. 被引量:2
  • 2孟小峰,王宇,王小锋.XML查询优化研究[J].软件学报,2006,17(10):2069-2086. 被引量:44
  • 3Zaniolo C. Database relations with null values [J]. Journal of Computer and System Sciences, 1984,28 (1) : 142-166.
  • 4Klir G J, Folger T A. Fuzzy sets, uncertainty and information [M]. New Jersey: Pemtice-Hall, 1988.
  • 5Dey, Sarkar S. A Probabilistie Relational Model and Algebra [J]. ACM Transactions on Database Systems,1996,21(3):339- 369.
  • 6Nierman A,Jagadish H V. ProTDB.. Probabilistic data in XML [C]//Proceeding of the 28th International Conference on Very Large Data Bases. Hong Kong:Morgan' Kaufmann Publishers, 2002 : 646-657.
  • 7Hung E, Getoor L, Subrahmanian V S. PXML: a probabilistie semistructured data model and algebra[C]//Proceedings of the 19th International Conference on Data Engineering. Bangalore, India: IEEE Computer Society Press, 2003 : 467-482.
  • 8Green T J, Tannen V. Models for incomplete and probabilistic information[J]. IEEE Date Engineering Bulletin, 2006,29 (1).
  • 9Goldman S, Rivest R. A non-iterative maximum entropy algo - rithm[C]//Proceedings of the 2nd Annual Conference on Uncertainty in Artificial Intelligence ( UAI ' 86 ). Elsevier Science Publishing Company, Inc. , New York, NY, 1986 : 133-148.
  • 10Dekhtyar A, Goldsmith J, Hawkes S. Semistruetured probabilistic databases[C]//Proceedings of the Conferenee on Statistical and Scientific Database Management (SSDBM). Fairfax, VA, USA, 2001 : 36-45.

引证文献3

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部