Optimal Information Modeling Techniques

Pirmais vāks
Slooten, Kees van
Idea Group Inc (IGI), 2001. gada 1. jūl. - 306 lappuses

Despite the rapid advance of technology in the last few decades, accurate, on-time and on-budget completion of information systems development projects is still a vision rather than a reality. Despite the rapid advance of technology in the last few decades, accurate, on-time and on-budget completion of information systems development projects is still a vision rather than a reality. An optimal information modeling technique may be defined as an information modeling technique that is most appropriate to be applied in a specific situation indicated by certain contingency factors. Optimal Information Modeling Techniques examines these methods and provides the most recent research in the field, to be applied to the management applications of modern organizations.

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Chapter 1 Evaluating an ISD Methodology for Software Packages
1
Ontologies and Ontological Design Patterns
16
Chapter 3 Concept Acquisition Modeling for Ecommerce Ontology
30
Chapter 4 An ObjectOriented Approach to Conceptual Hypermedia Modeling
41
Chapter 5 Conceptual Modeling of Large Web Sites
55
Chapter 6 A Method to Ease Schema Evolution
69
Chapter 7 A Three Layered Approach for General Image Retrieval
78
Chapter 8 Is There A Life After Objects?
84
Chapter 14 Enforcing Modeling Guidelines in an ORDBMSbased UMLRepository
150
Chapter 15 Simulation for Business Engineering of Electronic Markets
163
Chapter 16 Representing and Reasoning with Scenarios within Information Systems Modeling
170
An Electronic Commerce Application
176
Chapter 18 WebBased Cooperative Information Systems Modeling
193
Chapter 19 EMC A Modeling Method for Developing Webbased Applications
207
Chapter 20 A UML Representation of US Mutual Fund Servicing as an Iconic Model for Servicing the New EU Equivalent UCITS
221
An Empirical Study
229

Chapter 9 A Systemic Approach to Define Agents
95
Chapter 10 Modeling of Coordinated Planning and Allocation of Resources
108
An Exploratory Study
121
Chapter 12 Modelling Business Rules Using Defeasible Logic
128
Extended Electronic Catalog for Dynamic and Flexible Electronic Commerce
137
Chapter 22 Informationbase A New Information System Layer
239
Chapter 23 A Comparison of Stochastic Models for the Interarrival Times of Packets in a Computer Network
248
Chapter 24 A Methodology for Adaptive Workflows
258
About the Editor
272
Index
273

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Par autoru (2001)

Kees van Slooten is a member of the faculty of Technology and Management, Department of Business Information Systems, at the University of Twente. He has a PhD from the University of Twente and an MSC in Information Science and Mathematics. Before joining the university he was active in systems analysis, design, programming, and consultancy. He is currently supervising PhD projects in the areas of situation-specific business modeling aiming at implementing enterprise-wide information systems and e-commerce applications. [Editor]

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