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Titlebook: Conceptual Modeling -- ER 2003; 22nd International C Il-Yeol Song,Stephen W. Liddle,Peter Scheuermann Conference proceedings 2003 Springer-

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樓主: fumble
21#
發(fā)表于 2025-3-25 04:18:40 | 只看該作者
22#
發(fā)表于 2025-3-25 09:55:20 | 只看該作者
23#
發(fā)表于 2025-3-25 15:06:14 | 只看該作者
Conference proceedings 2003s trendsetting and daring architecture, has met the new century with a renewed commitment to open public spaces and human interaction. Thus it provided a ?tting venue for ER 2003, the scope of which was expanded to encompass all aspects of conceptual modeling in order to deal with constantly changin
24#
發(fā)表于 2025-3-25 16:53:55 | 只看該作者
Workflow Using AUML and Agentsdistributed mechanism such as agents. This presentation describes how to develop agent-based workflow systems using UML – for analysis, design, and execution. In other words, it describes a model-driven approach (MDA) for distributed workflow.
25#
發(fā)表于 2025-3-25 21:45:36 | 只看該作者
Designing Foundational Ontologieslines the axiomatisation of the Object-Centered High-level REference ontology OCHRE, comparing its basic conceptual modelling choices with those underlying DOLCE, a foundational ontology developed in the Wonderweb project.
26#
發(fā)表于 2025-3-26 04:12:40 | 只看該作者
Analysis of Web Services Composition Languages: The Case of BPEL4WS in this paper is a step in this direction. It presents an in-depth analysis of the Business Process Execution Language for Web Services (BPEL4WS) with respect to a framework composed of workflow and communication patterns.
27#
發(fā)表于 2025-3-26 07:21:13 | 只看該作者
0302-9743 18 years. Chicago, a city well known for its trendsetting and daring architecture, has met the new century with a renewed commitment to open public spaces and human interaction. Thus it provided a ?tting venue for ER 2003, the scope of which was expanded to encompass all aspects of conceptual modeli
28#
發(fā)表于 2025-3-26 11:13:33 | 只看該作者
The Second Algorithm: Our Brain of Conflictd then introduce a particular semantic problem that we call “corporate householding.” We stress the importance of “context” to get the appropriate answer for each task. Then we propose an approach to handle these tasks using extensions to the COntext INterchange (COIN) technology for knowledge storage and knowledge processing.
29#
發(fā)表于 2025-3-26 16:39:43 | 只看該作者
30#
發(fā)表于 2025-3-26 18:32:55 | 只看該作者
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