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异构数据库环境下语义集成过程的并行计算方法研究 被引量：1

The Research on Parallel Computation of Semantic Integration Process in Heterogeneous Databases
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摘要 区分相同属性是异构数据库环境下语义集成中的一个重要环节,主要的方法是用特征描述属性来评估属性之间的相似性。虽然这种方法具有较高自动化和易于实现的特点,但它将花费更多的时间来比较所有的属性且不能在语义集成中实现并行计算。本文提出了一种基于数据类型的方法来实现异构数据环境下相同属性的确定,这种方法具有在描述比较时间的同时实现语义集成的并行计算的特点。实验结果表明我们的方法能提高系统性能并且不降低查准率和查全率。 Identifying corresponding attributes is an important issue of semantic integration in heterogeneous databases. The main method uses the characteristics describing attributes to evaluate the similarity of attributes. Although this method has highly automated and easily realized characteristics, it will cost more time to compare all attributes, and cannot realize the parallel computation of semantic integration. Accordingly, in this paper we present a data-type-based approach to identify corresponding attributes in heterogeneous databases. Our approach has the characteristics of decreasing the comparing times as well as realizing the parallel computation of semantic integration. The experimental results show our method can improve the system performance without reducing the precision ratio and recall ratio.
作者 强保华 吴中福 陈凌 吴开贵 余建桥
机构地区 重庆大学计算机科学与工程学院 西南农业大学信息学院
出处 《计算机科学》 CSCD 北大核心 2004年第9期96-99,共4页 Computer Science
基金 国家自然科学基金(No.60073047)
关键词 语义集成 异构数据库 并行计算 属性 数据类型 系统性能 特征描述 查准率 查全率 方法 Semantic integration, Corresponding attributes, Heterogeneous databases, Data-type-based approach
分类号 TP311.13 [自动化与计算机技术—计算机软件与理论] TP393 [自动化与计算机技术—计算机应用技术]
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参考文献11

  • 1[1]Hayne S, Ram S. Multi-user view integration system (MUVIS):An exprt system for view integration. In:Proc. in the 6th Intl.Conf. on Data Engineering, IEEE, Feb. 1990. 402～409
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  • 4[4]Li W-S, Clifton C, Liu S-Y. Database integration using neural networks: implementation and experiences. Knowledge and Information Systems ,2000, 2: 73～96
  • 5[5]Li W-S,Clifton C. Semantic integration in heterogeneous databases using neural networks. In:Proc. of the 20th VLDB Conf. Santiago, Chile, 1994
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同被引文献12

  • 1强保华,吴中福,余建桥,陈凌,吴开贵.基于属性信息熵的实体匹配方法研究[J].计算机工程,2005,31(21):31-33. 被引量：5
  • 2Hayne S,Ram Su, Multi user view integration system(MUVIS):An expert system for view integration. In: Proe. in the 6th Intl. Conf. on Data Engineering, 1990. 402-409.
  • 3Sahon G, Yang C S, Yu C T. A theory of term importance in automatic text analysis. Journal of the American Society for Information Science, 1975,26 ( 1 ) : 33 - 44.
  • 4Benkley S S, Fandozzi J E, Housman E M, et al. Data element tool-based analysis ( DELTA ) : [ Technical Report MTR95B0000147]. The MITRE Corporation, Bedford, MA, 1995.
  • 5Li W-S, Clifton C, Liu SY. Database integration using neural networks: implementation and experiences. Knowledge and Information Systems, Springer-Verlag London Ltd, 2000,2 : 73-96.
  • 6Li W S, Clifton C. Semantic integration in heterogeneous databases using neural networks. In: Proe. of the 20th VLDB Conf. Santiago, Chile, 1994.
  • 7Premerlani W J, Blaha M R. An approach for reverse engineering of relational databases. Communications of the ACM, 1994,37(5):42-49.
  • 8Yu C, Sun W, Dao S, Keirsey D. Determine relationships among attributes for interoperability of multi-database systems In:Proc. of RIDE IMS. IEEE, March, 1991.
  • 9Sheth A, Larson J. Federated database systems for managing distributed heterogeneous, and autonomous databases. (komputer Surveys, 1990,22(3): 183-236.
  • 10Li WS, Clifton C. Using field specifications to determine attribute equivalence in heterogeneous databases. In: Third Intl. Workshop on Research Issues on Data Engineering: Interoperability in Multidatabase Systems, IEEE, Vienna, Austria,1993. 174-177.

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计算机科学
2004年 第9期

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