Database Modeling for Industrial Data Management: Emerging by Zongmin Ma

By Zongmin Ma

Accumulating and providing the newest study and improvement effects from the best researchers within the box of business database modeling, Database Modeling for commercial information administration: rising applied sciences and functions presents a unmarried checklist of present examine and functional purposes in business database modeling. This booklet discusses the main facets of databases for undefined: facts modeling, database types, and database purposes in details systems.Readers of Database Modeling for business info administration: rising applied sciences and functions will achieve an entire knowing of the notions, thoughts, and techniques concerning the examine and advancements of business database modeling, with the intention to function either a kick off point and a reference for his or her examine and advancements

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Specifying a database application with the B notation is a tedious process, since many properties implicitly declared within the database conceptual schemas must be explicated. Further, the consistency proofs are too expensive, since they must be performed with respect not only to the application constraints, but also to the conceptual schema constraints. ASSO (Locuratolo, 1997, 2002, 2004; Locuratolo & Matthews, 1999a, b, c) is an innovative database design methodology defined for achieving conceptual schema consistency, logical schema correctness, flexibility in reflecting the real-life changes on the schema and efficiency in accessing and storing information.

Extending EXPRESS for imprecise and uncertain engineering information modeling. Journal of Intelligent Manufacturing. Ma, Z. , & Mili, F. (2003). Knowledge comparison in design repositories. Engineering Applications of Artificial Intelligence, 16(3), 203-211. Copyright © 2006, Idea Group Inc. Copying or distributing in print or electronic forms without written permission of Idea Group Inc. is prohibited. 30 Ma Ma, Z. , et al. (2003). Conceptual data models for engineering information modeling and formal transformation of EER and EXPRESS-G.

2001). Object-oriented database systems in manufacturing: selection and applications. Industrial Management & Data Systems, 101(3), 97-105. Zhang, W. , & Li, Q. (1999). Information modeling for made-to-order virtual enterprise manufacturing systems. Computer-Aided Design, 31(10), 611-619. Zhang, Y. , Zhang, C. , and Wang, H. P. B. (2000). An Internet-based STEP data exchange framework for virtual enterprises. Computers in Industry, 41, 51-63. Zimmermann, H. J. (1999). Practical applications of fuzzy technologies.

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