Automated SuperSQL query formulation based on statistical characteristics of data

Jun Nemoto, Motomichi Toyama

研究成果: Conference article査読

1 被引用数 (Scopus)


In this paper, we propose an automated SuperSQL query formulating method based on statistical characteristics of data so that the end-users can obtain the desired information more easily without burden of web application development side. SuperSQL is an extension of SQL to generate various kinds of structured presentations and documents. In our method, first, web producers prepare a provisional SQL query and send it to a relational database. Next, the automated algorithm formulates a SuperSQL query based on statistical information of the query result. Finally the resulting SuperSQL query is executed to return the categorized table to end-users. Experimental results demonstrate that the implemented system enables web producers to construct data-intensive web sites, which have better structure with respect to the recognition of the data by end-users.

ジャーナルLecture Notes in Computer Science
出版ステータスPublished - 2005 10月 24
イベント16th International Conference on Database and Expert Systems Applications, DExa 2005 - Copenhagen, Denmark
継続期間: 2005 8月 222005 8月 26

ASJC Scopus subject areas

  • 理論的コンピュータサイエンス
  • コンピュータ サイエンス(全般)


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