期刊文献+

S-CBR:基于数据库模式展现数据库关键词检索结果 被引量:6

S-CBR: Presenting Results of Keyword Search over Databases Based on Database Schema
下载PDF
导出
摘要 提出一种基于数据库模式的数据库关键词检索结果展现方法S-CBR(schema-based classification,browsing and retrieving),包括结果分类、用户浏览和再次检索3个过程.S-CBR首先利用数据库模式和查询关键词自动产生第一级类别,将检索结果分配到各个类中;对于比较大的类,按关键词节点内容进行第二级分类;另外赋给每个类别一个类别描述,并将类别描述和每个结果图形化地展现出来,使用户容易阅读和理解检索结果.用户还可以根据S-CBR提供的结果类别模式信息对感兴趣的类别作进一步检索,以尽快找到所需结果或获取更多的相关结果.实验证明了S-CBR方法的有效性. In this paper, a result presentation method of keyword search over databases named S-CBR (schema-based classification, browsing and retrieving) which includes three phases of result classification, user browsing, and retrieving is proposed. Firstly, S-CBR uses database schema and query keywords to produce the first-level classes automatically and classify results into them. For large classes, it further partitions them based on the content of keyword nodes. Furthermore, S-CBR gives each class a readable description, and presents the description and each result graphically to help users understand the results easily. Users also can retrieve the class which they are interested in based on the information of the first-level classes to find the results they need or acquire more relevant results. Experimental results verify the method's effectiveness and efficiency.
出处 《软件学报》 EI CSCD 北大核心 2008年第2期323-337,共15页 Journal of Software
基金 Supported by the National Natural Science Foundation of China under Grant Nos.60473069, 60496325 (国家自然科学基金)
关键词 分类 结果展现 数据库关键词检索 数据库模式 启发式检索 classification result presentation keyword search over database database schema heuristic search
  • 相关文献

参考文献3

二级参考文献50

  • 1ShanWang Kun-LongZhang.Searching Databases with Keywords[J].Journal of Computer Science & Technology,2005,20(1):55-62. 被引量:16
  • 2朱青,王珊,丁博麟,张孝,蔡宏艳,姚佳丽.基于数据网格面向服务的查询算法[J].计算机学报,2006,29(7):1234-1240. 被引量:8
  • 3Hristidis V, Gravano L, Papakonstantinou Y. Efficient IR-style keyword search over relational databases. In Proc. the 29th Int. Conf. Very Large Data Bases, 2003.
  • 4Dixon P. Basics of Oracle text retrieval. IEEE Data Engineering Bulletin, 2001, 24(4): 11-14.
  • 5Maier A, Simmen D. DB2 optimization in support of full text search. IEEE Data Engineering Bulletin, 2001, 24(4): 3-6.
  • 6Hamilton J, Nayak T. Microsoft SQL Server full-text search.IEEE Data Engineering Bulletin, 2001, 24(4): 7-10.
  • 7Balmin A, Hristidis V, Papakonstantinou Y. ObjectRank:Authority-based keyword search in databases.In Proc.the 30th Int.Conf.Very Large Data Bases,2004
  • 8Brin S, Page L. The anatomy of a large-scale hyper-textual web search engine. In Proc. 7th Int. WWW Conference, 1998.
  • 9Dar S, Entin G, Geva S, Palmon E. DTL's dataSpot: Database exploration using plain language. In Proc. the 24th International Conference on Very Large Data Bases, 1998.
  • 10Goldman R, Shivajumar N, Venkatasubramanian S, Garcia-Molina H. Proximity search in databases. In Proc. the 24th International Conference on Very Large Data Bases, 1998.

共引文献56

同被引文献26

引证文献6

二级引证文献65

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