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Titlebook: Enterprise Information Systems; 10th International C Joaquim Filipe,José Cordeiro Conference proceedings 2009 Springer-Verlag Berlin Heidel

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https://doi.org/10.1057/9781137361271ased on a categorization of matching operators that allow to group similar attributes on a semantic rich form. This way we define all the information need in order to create a mapping. Then Mapping Generation is activated only on those set of elements that can be queried without violating any integrity constraints on data.
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tterns to analyze the textual structure of natural language expressions and to relate them to instances of a reference ontology. Thus, semantically annotated EPC model elements are input for subsequent semantic analysis that identifies common modeling practices.
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Conference proceedings 2009 of information systems and technology for industry and services, thus making a bridge between academia and enterprise. Following the success of 2007, ICEIS 2008 received 665 paper submissions from more than 40 countries. In all, 62 papers were published and presented as full papers, i.e., completed
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Hybrid Computational Models for Software Cost Prediction: An Approach Using Artificial Neural Networ selected heuristically, which target at capturing the dynamics of cost behavior as this is expressed by the available data attributes. The ANNs are enhanced by a Genetic Algorithm (GA) whose role is to evolve the network architectures (both input and internal hidden layers) by reducing the Mean Rel
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Discovering Multi-perspective Process Models: The Case of Loosely-Structured Processeshese classes and non-structural properties are captured by a rule-based classification model, which can be used for both explanation and prediction. In order to empower the versatility of our approach, we also combine it with a pre-processing method, which allows to restructure the log events accord
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Business Process Modeling for Non-uniform Workaddition to process model designers, the findings help organizations struggling with IS use practices’ consistency to separate practices that may emerge most harmful and practices that are not worth to alter.
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Resilient Cities and Communities,hese classes and non-structural properties are captured by a rule-based classification model, which can be used for both explanation and prediction. In order to empower the versatility of our approach, we also combine it with a pre-processing method, which allows to restructure the log events accord
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