Flexible Query Answering Systems

Herausgegeben:Andreasen, Troels; Christiansen, Henning; Larsen, Henrik Legind

• Broschiertes Buch

Produktbeschreibung

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.

Produktdetails

• Verlag: Springer / Springer US / Springer, Berlin
• Artikelnr. des Verlages: 978-1-4613-7783-2
• Softcover reprint of the original 1st ed. 1997
• Seitenzahl: 308
• Erscheinungstermin: 12. Oktober 2012
• Englisch
• Abmessung: 235mm x 155mm x 17mm
• Gewicht: 474g
• ISBN-13: 9781461377832
• ISBN-10: 1461377838
• Artikelnr.: 38036083

Inhaltsangabe

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.