1.

Record Nr.

UNISA996466066303316

Titolo

Inconsistency Tolerance [[electronic resource] /] / edited by Leopoldo Bertossi, Anthony Hunter, Torsten Schaub

Pubbl/distr/stampa

Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2005

ISBN

3-540-30597-1

Edizione

[1st ed. 2005.]

Descrizione fisica

1 online resource (VIII, 300 p.)

Collana

Theoretical Computer Science and General Issues, , 2512-2029 ; ; 3300

Disciplina

620/.0045

Soggetti

Database management

Computer science

Software engineering

Machine theory

Database Management

Computer Science Logic and Foundations of Programming

Software Engineering

Formal Languages and Automata Theory

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Bibliographic Level Mode of Issuance: Monograph

Nota di bibliografia

Includes bibliographical references and index.

Nota di contenuto

to Inconsistency Tolerance -- Consistency of XML Specifications -- Consistent Query Answers in Virtual Data Integration Systems -- Representing Paraconsistent Reasoning via Quantified Propositional Logic -- On the Computational Complexity of Minimal-Change Integrity Maintenance in Relational Databases -- On the Complexity of Paraconsistent Inference Relations -- Approaches to Measuring Inconsistent Information -- Inconsistency Issues in Spatial Databases -- Relevant Logic and Paraconsistency.

Sommario/riassunto

Inconsistency arises in many areas in advanced computing. Often inconsistency is unwanted, for example in the specification for a plan or in sensor fusion in robotics; however, sometimes inconsistency is useful. Whether inconsistency is unwanted or useful, there is a need to develop tolerance to inconsistency in application technologies such as databases, knowledge bases, and software systems. To address this situation, inconsistency tolerance is being built on foundational



technologies for identifying and analyzing inconsistency in information, for representing and reasoning with inconsistent information, for resolving inconsistent information, and for merging inconsistent information. The idea for this book arose out of a Dagstuhl Seminar on the topic held in summer 2003. The nine chapters in this first book devoted to the subject of inconsistency tolerance were carefully invited and anonymously reviewed. The book provides an exciting introduction to this new field.