Titlebook: On the Move to Meaningful Internet Systems: OTM 2011; Confederated Interna Robert Meersman,Tharam Dillon,Mukesh Mohania Conference proceedi

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CoopIS 2011 PC Co-chairs’ Messagefferent aspects of distributed, intelligent, and cooperative information systems. The focus of CoopIS is on process management technologies, middleware and architectures for cooperative information systems, and cooperative information systems applications.

膝蓋

Trust Alignment: A Sine Qua Non of Open Multi-agent Systemserent trust models and as such the evaluations they communicate are based on different principles. This article shows that trust alignment is a crucial tool in this communication. Furthermore we show that trust alignment improves significantly if the description of the evidence, upon which a trust evaluation is based, is taken into account.

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Event Cube: Another Perspective on Business Processes under different levels of abstraction. An exploratory analysis of the application of process mining on multidimensional process data is the focus of this paper. The feasibility and potential of this approach is demonstrated through some practical examples.

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Conference proceedings 2011stems (CoopIS 2011), Distributed Objects and Applications - Secure Virtual Infrastructures (DOA-SVI 2011), and Ontologies, DataBases and Applications of SEmantics (ODBASE 2011) held as part of OTM 2011 in October 2011 in Hersonissos on the island of Crete, Greece. The 55 revised full papers presente

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多產(chǎn)子

Fragment-Based Version Management for Repositories of Business Process Modelschange propagation. The focal point of this technique is to version single process model fragments, rather than entire process models. Indeed empirical evidence shows that real-life process model repositories have numerous duplicate fragments. Experiments on two industrial datasets confirm the usefulness of our technique.

高射炮

Efficient Retrieval of Similar Business Process Models Based on Structurehe candidate models that actually do not satisfy the similarity requirement. Since the number of candidate models is always much smaller than the size of repositories, the query efficiency is improved.

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