Flexible Query Answering Systems

ISBN-13: 9780792380016 / Angielski / Twarda / 1997 / 290 str.

Troels Andresen; Henrik L. Larsen; Henning Christiansen

Opis

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.

Spis treści

1. Not All Answers are Equally Good: Estimating the Quality of Database Answers; A. Motro, I. Rakov. 2. Fuzzy Query Language for Hypothesis Evaluation; D. Rasmussen, R.R. Yager. 3. Using Fuzzy Sets in Flexible Querying: Why and How? D. Dubois, H. Prade. 4. Nonstandard Database Interaction from Metalogic Programming; T. Andreasen, H. Christansen. 5. A Fuzzy Deductive Relational Database; O. Pons, et al. 6. Metareasoning Agents for Query-Answering Systems; J. Barklund, et al. 7. Fuzzy Querying in a Concept Object Algebraic Datamodel; H.L. Larsen, J.F. Nilsson. 8. Flexible Query-Answering in a Group of Databases; L. Chalvy. 9. Fuzzy Time Indications in Natural Languages Interfaces; R. de Caluwe, et al. 10. Fuzzy Queries against Regular and Fuzzy Databases; P. Bosc, O. Pivert 11. Answering Queries About Validity and Completeness of Data: From Modal Logic to Relational Algebra; R. Demolombe. 12. Constructing Aggregation Functions Using Fuzzy Modeling; R.R. Yager. 13. Flexible Using Fuzzy Logic: An Implementation for Microsoft Access; J. Kacprzyk, S. Zadvo. 14. Fuzzy Decision Trees and Databases; B. Bouchon-Meunier, C. Marsala. Index.