Advanced Topics in Database Research is a series of books in the fields of database, software engineering, and systems analysis and design. They feature the latest research ideas and topics on how to enhance current database systems, improve information storage, refine existing database models, and develop advanced applications. Advanced Topics in Database Research, Volume 4 is a part of this series.
Content:
Dynamic Workflow Restructuring Framework for Long-Running Business Processes
Design and Representation of Multidimensional Models with UML and XML Technologies
Does Protecting Databases Using Perturbation Techniques Impact Knowledge Discovery?
Simultaneous Database Backup Using TCP/IP and a Specialized Network Interface Card
Towards User-Oriented Enterprise Modeling for Interoperability
Using a Model Quality Framework for Requirements Specification of an Enterprise Modeling Language
Population of a Method for Developing the Semantic Web Using Ontologies
An Evaluation of UML and OWL Using a Semiotic Quality Framework
Information Modeling Based on Semantic and Pragmatic Meaning
Higher-Order Types and Information Modeling
Criteria for Comparing Information Modeling Methods: Informational and Computational Equivalence
COGEVAL: Applying Cognitive Theories to Evaluate Conceptual Models
Quality of Analysis Specifications: A Comparison of FOOM and OPM Methodologies
Interoperability of B2B Applications: Methods and Tools
Possibility Theory in Protecting National Information Infrastructure
Enabling Information Sharing Across Government Agencies
Title
Advanced Topics in Database Research V-4
ISBN-13
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ISBN-10
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Publisher / Imprint
Idea Group
Binding
Paperback
Edition
1st Edition
Publication Date
2026
Number of Pages
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Table of contents is being compiled for this publication.