Data & Knowledge Engineering - Special issue: Quality in conceptual modeling
Aggregation in ontologies: practical implementations in OWL
ICWE'05 Proceedings of the 5th international conference on Web Engineering
Using data samples in validating data models
International Journal of Knowledge Engineering and Soft Data Paradigms
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From the Publisher:Written by leading practitioners, this guide to data analysis, design and innovation is a tutorial and reference for systems analysts, business analysts, specialist data modelers, database designers, and students requiring a practical understanding of a project. It includes many practical examples to illustrate choices available to modelers and criteria for selecting the best model. The book explores the difference between modeling business data requirements and designing and maintaining the resulting database, including the impact of universal server and data distribution. A revision of the first successful edition published by Coriolis in 1994, this book contains numerous updates and additional chapters to illustrate real world data modeling for commercial information systems.