Name
Abstract | ||
|---|---|---|
One of the common problems that users are confronted with in their web data retrieval is overabundant answers, that is, being provided with an avalanche of responses that satisfy their queries. Most users are overwhelmed by such responses since it is difficult to examine them. In this paper, we attempt to address this issue in the context of flexible queries. The basic idea behind the solution proposed consists in modulating the fuzzy conditions involved in the user query by applying an appropriate transformation. This operation aims at intensifying the constraints of the query to make it more demanding. A transformation that relies on a convenient tolerance relation is introduced. The main features of our proposal are investigated as well. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1007/978-3-540-68123-6_32 | ISMIS |
Keywords | Field | DocType |
web data retrieval,basic idea,main feature,appropriate transformation,common problem,overabundant answer,convenient tolerance relation,cooperative answering,user query,fuzzy condition,flexible query,satisfiability,data retrieval | Data mining,Tolerance relation,Information retrieval,Computer science,Data retrieval,Fuzzy logic,Artificial intelligence,Machine learning | Conference |
Volume | ISSN | ISBN |
4994 | 0302-9743 | 3-540-68122-1 |
Citations | PageRank | References |
1 | 0.36 | 10 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Patrick Bosc | 1 | 601 | 75.23 |
| Allel Hadjali | 2 | 391 | 49.62 |
| Olivier Pivert | 3 | 891 | 101.81 |