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.
Auflage
Sprache
Verlagsort
Zielgruppe
Für höhere Schule und Studium
Für Beruf und Forschung
Research
Produkt-Hinweis
Fadenheftung
Gewebe-Einband
Illustrationen
Maße
Höhe: 234 mm
Breite: 156 mm
Dicke: 19 mm
Gewicht
ISBN-13
978-0-7923-8001-6 (9780792380016)
DOI
10.1007/978-1-4615-6075-3
Schweitzer Klassifikation
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.
