Name
Abstract | ||
|---|---|---|
In the past two decades, database systems have been developed rapidly. Much research has been done about the techniques of index and retrieval. In relational database, B tree or B+ tree is used to index the structured data; in full text database, inverted list or sorted duality inter-relevant Successive Trees Model is used to index the full text. But in an integrated database, the efficiency of using traditional way to do retrieving is far from practical in the scenario of mass data and high responsive requirement. In this paper we propose a new collaborative retrieving approach to solve this problem. And the experiment shows this approach helps to improve the efficiency of retrieving. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1109/SNPD.2007.7 | SNPD (3) |
Keywords | Field | DocType |
information retrieval,relational databases,indexation,groupware,structured data,database indexing,relational database,tree data structures,database system | Inverted index,Data mining,Relational database,Database model,Information retrieval,Data retrieval,Computer science,View,Database design,Database schema,Database index,Database | Conference |
Volume | Issue | ISBN |
3 | null | 0-7695-2909-7 |
Citations | PageRank | References |
0 | 0.34 | 10 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chuanyao Yang | 1 | 11 | 2.32 |
| Yuqin Li | 2 | 4 | 1.82 |
| Zhenghua Wang | 3 | 1 | 0.75 |
| Chenghong Zhang | 4 | 116 | 18.03 |
| Yunfa Hu | 5 | 74 | 13.44 |