Flexible Query Answering Systems is an edited collection of contributed chapters. It focuses on developing computer systems capable of transforming a query into an answer with useful information. The emphasis is on problems associated with high-level intelligent answering systems.
The coverage is multidisciplinary with chapters by authors from information science, logic, fuzzy systems, databases, artificial intelligence and knowledge representation. Each contribution represents a theory involving flexibility in query-answering, and each addresses specific answering problems. Coverage includes topics such as fuzzy sets in flexible querying, non-standard database interactions, metareasoning and agents, and many others.
Contributions for this volume were written by leading researchers from their respective subject areas, including Patrick Bosc, Bernadette Bouchon-Meunier, Amihai Motro, Henri Prade and Ron Yager, among others.
Flexible Query Answering Systems is a timely contribution for researchers working on high-level query mechanism systems.
Inhaltsverzeichnis
1 Not all answers are equally good: Estimating the quality of database answers. - 2 Fuzzy query language for hypothesis evaluation. - 3 Using fuzzy sets in flexible querying: Why and how? . - 4 Nonstandard database interaction from metalogic programming. - 5 A fuzzy deductive relational database. - 6 Metareasoning agents for query-answering systems. - 7 Fuzzy querying in a concept object algebraic datamodel. - 8 Flexible query-answering in a group of databases. - 9 Fuzzy time indications in natural languages interfaces. - 10 Fuzzy queries against regular and fuzzy databases. - 11 Answering queries about validity and completeness of data: From modal logic to relational algebra. - 12 Constructing aggregation functions using fuzzy modeling. - 13 Flexible querying using fuzzy logic: An implementation for Microsoft Access. - 14 Fuzzy decision trees and databases.
