Title
Qualifying answers according to user needs and preferences
Abstract
This paper presents a rigorous methodology for using annotated logic programming techniques to handle user preferences and needs in answering database queries. Two alternative transformations turn a database program into a new program that returns answers to queries according to qualitative labels. The two transformations have different semantics and are each appropriate in different situations. We have modified the standard definitions of annotated logic programs to handle user needs and preferences in databases. In the formalism, the user provides a lattice of domain-independent values that define preferences and needs and a set of domain specific user constraints qualified with lattice values. After the original database and the user constraints have been transformed into a new annotated deductive database, query-answering procedures for deductive databases are used, with minor modifications, to obtain annotated answers to queries. Because preference declaration is separated from data representation and management, preferences can be easily altered without touching the database. The resulting query language allows users to ask for answers at different preference levels.
Year
DOI
Venue
1997
10.3233/FI-1997-32202
Fundam. Inform.
Keywords
Field
DocType
qualifying answers,user preference,domain specific user constraint,user needs,user need,database query,original database,new annotated deductive database,database program,annotated logic program,qualifying answer,annotated answer,user constraint
Declaration,Query language,External Data Representation,Ask price,Deductive database,Information retrieval,Computer science,Logic programming,Formalism (philosophy),Semantics
Journal
Volume
Issue
Citations 
32
2
4
PageRank 
References 
Authors
0.48
16
2
Name
Order
Citations
PageRank
Terry Gaasterland1447148.59
Jorge Lobo227766.34