Advances in Databases and Information Systems

Description

Advances in Databases and Information Systems: 8th East European Conference, ADBIS 2004, Budapest, Hungary, September 22-25, 2004. Proceedings<br />Author: András Benczúr, János Demetrovics, Georg Gottlob<br /> Published by Springer Berlin Heidelberg<br /> ISBN: 978-3-540-23243-8<br /> DOI: 10.1007/b100480<br /><br />Table of Contents:<p></p><ul><li>Quantifier-Elimination for the First-Order Theory of Boolean Algebras with Linear Cardinality Constraints </li><li>Update Propagation in Deductive Databases Using Soft Stratification </li><li>Query Rewriting Using Views in a Typed Mediator Environment </li><li>Reasoning About Web Information Systems Using Story Algebras </li><li>Component Framework for Strategic Supply Network Development </li><li>An Abstract Algebra for Knowledge Discovery in Databases </li><li>Beyond Databases: An Asset Language for Conceptual Content Management </li><li>Component-Based Modeling of Huge Databases </li><li>Cognitive Load Effects on End User Understanding of Conceptual Models: An Experimental Analysis </li><li>Template Based, Designer Driven Design Pattern Instantiation Support </li><li>A High-Level Language for Specifying XML Data Transformations </li><li>Implementing a Query Language for Context-Dependent Semistructured Data </li><li>Static Analysis of Structural Recursion in Semistructured Databases and Its Consequences </li><li>Catalogues from a New Perspective: A Data Structure for Physical Organisation </li><li>Database Caching – Towards a Cost Model for Populating Cache Groups </li><li>Towards Quadtree-Based Moving Objects Databases </li><li>A Content-Based Music Retrieval System Using Multidimensional Index of Time-Sequenced Representative Melodies from Music Database </li><li>Solving Stochastic Optimization in Distributed Databases Using Genetic Algorithms </li><li>ML-1-2PC: An Adaptive Multi-level Atomic Commit Protocol </li><li>Making More Out of an Inconsistent Database</li></ul>

First Sentence

Constraint relations, usually in the form of semi-algebraic or semi-linear sets, provide a natural description of data in many problems.

Subjects