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Titlebook: Enterprise Interoperability VI; Interoperability for Kai Mertins,Frédérick Bénaben,Jean-Paul Bourrières Conference proceedings 2014 Springe

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發(fā)表于 2025-3-23 09:43:21 | 只看該作者
12#
發(fā)表于 2025-3-23 15:48:50 | 只看該作者
13#
發(fā)表于 2025-3-23 19:16:26 | 只看該作者
A Semantics-Based Approach to Generation of Emergency Management Scenario Modelsbility. In this paper an automatic approach to support generation of emergency management scenarios is proposed. This is based on the CEML scenarios modelling language, on the design patterns-based modelling methodology, on the notion of mini-story, and on emergency management ontologies.
14#
發(fā)表于 2025-3-24 00:10:16 | 只看該作者
15#
發(fā)表于 2025-3-24 03:12:53 | 只看該作者
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發(fā)表于 2025-3-24 10:10:24 | 只看該作者
Retracted: An Approach to BPMN 2.0 Serialization Constraints Specificationrialization, which are the consequence of complexity and inconsistency of BPMN 2.0 specification document, are being analyzed herein. In addition, results and future research directions are also discussed.
17#
發(fā)表于 2025-3-24 14:45:33 | 只看該作者
Semantic Approach to Automatically Defined Model Transformationpaper, which is based on model transformation methodology, using syntactic and semantic check among model elements. In this approach, a generic meta–meta-model and semantic checking rules are proposed. With a simple use case, we illustrate how this approach works.
18#
發(fā)表于 2025-3-24 18:24:36 | 只看該作者
A Methodology to Prepare Real-World and Large Databases to Ontology Learninge. We propose in this paper a methodology for Database Preparation (DBP), composed of three sub-processes: the extraction of a Business Database (BDB), the cleaning of the BDB, and the enrichment of the cleaned BDB. A proof-theoretical case study shows that the proposed methodology is feasible and useful.
19#
發(fā)表于 2025-3-24 21:23:23 | 只看該作者
,Beispiele für Kristallstrukturbestimmungen, see the birth of data science as a new discipline driven by the torrents of data available today. We believe that the . will be the engineer of the future. Therefore, Eindhoven University of Technology (TU/e) established the Data Science Center Eindhoven (DSC/e). This article discusses the data science discipline and motivates its importance.
20#
發(fā)表于 2025-3-25 00:03:01 | 只看該作者
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