Flexible Query Answering Systems

1. Front Matter

   Pages i-xiv

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2. Not All Answers are Equally Good: Estimating the Quality of Database Answers

   • Amihai Motro, Igor Rakov

   Pages 1-21

3. Fuzzy Query Language for Hypothesis Evaluation

   • Dan Rasmussen, Ronald R. Yager

   Pages 23-43

4. Using Fuzzy Sets in Flexible Querying: Why and How?

   • Didier Dubois, Henri Prade

   Pages 45-60

5. Nonstandard Database Interaction from Metalogic Programming

   • Troels Andreasen, Henning Christiansen

   Pages 61-78

6. A Fuzzy Deductive Relational Database

   • O. Pons, J. M. Medina, J. C. Cubero, M. A. Vila

   Pages 79-101

7. Metareasoning Agents for Query-Answering Systems

   • Jonas Barklund, Pierangelo Dell’Acqua, Stefania Costantini, Gaetano A. Lanzarone

   Pages 103-121

8. Fuzzy Querying in a Concept Object Algebraic Datamodel

   • Henrik Legind Larsen, Jørgen Fischer Nilsson

   Pages 123-139

9. Flexible Query-Answering in a Group of Databases

   • Laurence Cholvy

   Pages 141-161

10. Fuzzy Time Indications in Natural Languages Interfaces

    • Rita De Caluwe, B. Van der Cruyssen, G. De Tré, Filip Devos, Patricia Maesfranckx

    Pages 163-185

11. Fuzzy Queries Against Regular and Fuzzy Databases

    • Patrick Bosc, Olivier Pivert

    Pages 187-208

12. Answering Queries about Validity and Completeness of Data: From Modal Logic to Relational Algebra

    • Robert Demolombe

    Pages 209-225

13. Constructing Aggregation Functions Using Fuzzy Modeling

    • Ronald R. Yager

    Pages 227-246

14. Flexible Querying Using Fuzzy Logic: An Implementation for Microsoft Access

    • Janusz Kacprzyk, Stawomir Zadrożny

    Pages 247-275

15. Fuzzy Decision Trees and Databases

    • Bernadette Bouchon-Meunier, Christophe Marsala

    Pages 277-288

16. Back Matter

    Pages 289-290

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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.

• Information
• agents
• artificial intelligence
• database
• decision tree
• fuzzy logic
• fuzzy sets
• fuzzy system
• fuzzy systems
• intelligence
• knowledge
• knowledge representation
• logic programming
• modeling
• relational database

• Roskilde University, Denmark

  Troels Andreasen, Henning Christiansen, Henrik Legind Larsen

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