Name
Abstract | ||
|---|---|---|
An important issue in extending database management systems functionalities is to allow the expression of imprecise queries to enable these systems to satisfy the user needs more closely. This paper deals with imprecise querying of regular relational databases. The basic idea is to extend an existing query language, namely SQL. In this context, two important points must be considered: one concerns the integration in the extended language of many propositions that have been made elsewhere, in particular those concerning fuzzy aggregation operators; and the second point is to know whether the equivalences which are valid in SQL still hold in the extended language. Both these topics are investigated in this paper |
Year | DOI | Venue |
|---|---|---|
1995 | 10.1109/91.366566 | Fuzzy Systems, IEEE Transactions |
Keywords | Field | DocType |
SQL,fuzzy logic,query languages,relational databases,SQL,SQLf,database management systems,fuzzy aggregation operators,fuzzy querying,query language,relational database language | Relational database,Database model,Computer science,Data definition language,Theoretical computer science,Artificial intelligence,Null (SQL),SQL,Conjunctive query,Information retrieval,Language Integrated Query,Query by Example,Machine learning | Journal |
Volume | Issue | ISSN |
3 | 1 | 1063-6706 |
Citations | PageRank | References |
243 | 12.76 | 18 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| P. Bosc | 1 | 401 | 25.31 |
| Olivier Pivert | 2 | 891 | 101.81 |