On fuzzy queries with contextual predicates

Authors:
Patrick Bosc;Olivier Pivert;Amine Mokhtari
Affiliations:
IRISA-ENSSAT, Lannion, France;IRISA-ENSSAT, Lannion, France;IRISA-ENSSAT, Lannion, France
Venue:
FUZZ-IEEE'09 Proceedings of the 18th international conference on Fuzzy Systems
Year:
2009

Citing 7
Cited 1

The Skyline Operator

Proceedings of the 17th International Conference on Data Engineering
Preference formulas in relational queries

ACM Transactions on Database Systems (TODS)
Context-sensitive ranking

Proceedings of the 2006 ACM SIGMOD international conference on Management of data
IO-Top-k: index-access optimized top-k query processing

VLDB '06 Proceedings of the 32nd international conference on Very large data bases
Preference SQL: design, implementation, experiences

VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
A context-aware preference model for database querying in an ambient intelligent environment

DEXA'06 Proceedings of the 17th international conference on Database and Expert Systems Applications
SQLf: a relational database language for fuzzy querying

IEEE Transactions on Fuzzy Systems

Expressing and processing complex preferences in route planning queries: Towards a fuzzy-set-based approach

Fuzzy Sets and Systems

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper deals with the interpretation and processing of database queries with preference conditions of the form "attribute is low (resp. medium, high)" in the situation where the user is not aware of the actual content of the database but still wants to retrieve the best possible answers (relatively to that content). An approach to the definition of the terms "low", "medium" and "high" in a contextual and relative manner is introduced. A processing algorithm aimed at efficiently retrieving the top-k answers to such a query is also outlined.