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Titlebook: Intelligent Information Processing V; 6th IFIP TC 12 Inter Zhongzhi Shi,Sunil Vadera,David Leake Conference proceedings 2010 IFIP Internati

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21#
發(fā)表于 2025-3-25 03:34:54 | 只看該作者
22#
發(fā)表于 2025-3-25 11:33:48 | 只看該作者
23#
發(fā)表于 2025-3-25 14:09:29 | 只看該作者
Case-Based Reasoning Tomorrow: Provenance, the Web, and Cases in the Future of Intelligent Informatid augmenting them with additional open sources, to enable robust support for human reasoning. It illustrates with examples from current research, focusing especially on how CBR can leverage frameworks being developed in burgeoning research activity in provenance capture and storage.
24#
發(fā)表于 2025-3-25 17:40:16 | 只看該作者
Requirement Driven Service Composition: An Ontology-Based Approachrement should be treated in parallel with describing service and a same ontology should be adopted for allowing the understanding between the requirement and services. An effect-based approach has been proposed based on our previous work on service description. This approach could be promising for tackling the challenge of services composition.
25#
發(fā)表于 2025-3-25 23:27:59 | 只看該作者
Preservative Translations between Logical Systems definitions of translations in the literature are discussed. Some properties of logical systems, such as the compactness and the decidability, which are characterized by the existence of preservative translations between logical systems are also studied.
26#
發(fā)表于 2025-3-26 01:35:19 | 只看該作者
27#
發(fā)表于 2025-3-26 08:13:37 | 只看該作者
Applications of CBR in Oil Well Drilling: A General Overviewnted research in the area of case based reasoning has moved mature research results into practical applications. In this paper we present the evolving story of CBR applied in petroleum engineering especially in drilling engineering. Drilling engineering contains several potential domains of interest, in which CBR can be employed successfully.
28#
發(fā)表于 2025-3-26 12:26:46 | 只看該作者
29#
發(fā)表于 2025-3-26 12:38:34 | 只看該作者
30#
發(fā)表于 2025-3-26 18:40:19 | 只看該作者
Multi-agent and Workflow-Based Web Service Management Modelask environment, a uniform task view for intelligent Web service is built. And based on such task view, a workflow towards special task is designed to realize intelligent Web service discovery and cooperation and composition. This model provides a more flexible Web service management.
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