Flexible Query Answering Systems

✍ Scribed by Amihai Motro, Igor Rakov (auth.), Troels Andreasen, Henning Christiansen, Henrik Legind Larsen (eds.)

Publisher: Springer US
Year: 1997
Tongue: English
Leaves: 293
Edition: 1
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

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.

✦ Table of Contents

Front Matter....Pages i-xiv
Not All Answers are Equally Good: Estimating the Quality of Database Answers....Pages 1-21
Fuzzy Query Language for Hypothesis Evaluation....Pages 23-43
Using Fuzzy Sets in Flexible Querying: Why and How?....Pages 45-60
Nonstandard Database Interaction from Metalogic Programming....Pages 61-78
A Fuzzy Deductive Relational Database....Pages 79-101
Metareasoning Agents for Query-Answering Systems....Pages 103-121
Fuzzy Querying in a Concept Object Algebraic Datamodel....Pages 123-139
Flexible Query-Answering in a Group of Databases....Pages 141-161
Fuzzy Time Indications in Natural Languages Interfaces....Pages 163-185
Fuzzy Queries Against Regular and Fuzzy Databases....Pages 187-208
Answering Queries about Validity and Completeness of Data: From Modal Logic to Relational Algebra....Pages 209-225
Constructing Aggregation Functions Using Fuzzy Modeling....Pages 227-246
Flexible Querying Using Fuzzy Logic: An Implementation for Microsoft Access....Pages 247-275
Fuzzy Decision Trees and Databases....Pages 277-288
Back Matter....Pages 289-290

✦ Subjects

Data Structures, Cryptology and Information Theory; Artificial Intelligence (incl. Robotics); Mathematical Logic and Foundations

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