Abstract
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.
| Original language | English |
|---|---|
| Pages (from-to) | 44-54 |
| Number of pages | 11 |
| Journal | Lecture Notes in Computer Science |
| Volume | 3588 |
| Publication status | Published - 2005 Oct 24 |
| Event | 16th International Conference on Database and Expert Systems Applications, DExa 2005 - Copenhagen, Denmark Duration: 2005 Aug 22 → 2005 Aug 26 |
ASJC Scopus subject areas
- Theoretical Computer Science
- General Computer Science