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Titlebook: Advances in Conceptual Modeling; ER 2014 Workshops, E Marta Indulska,Sandeep Purao Conference proceedings 2014 The Editor(s) (if applicable

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楼主: introspective
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Oliver Brügge,Frauke Burgdorff,Dirk E. Haass must be redefined to provide decision makers with service of data analysis through the cloud and from big data. This situation creates opportunities for research and more specifically for design-science research. In this paper, we propose a typology of artifacts potentially produced by researchers
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Hans-Hermann Albers,Felix Hartensteinh as social networks, sensors, cameras or weather information, are continuously generating data. This implies that data and links between them are becoming extremely vast. Such huge quantity of data needs to be analyzed, processed, as well as stored if necessary. In this paper, we will introduce rec
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Mirjam Bruhns,Michael Currle,Alfons Stachel in popularity of crowd sourcing, the complexity and openness of modern organizations etc. A key challenge in managing socio-technical processes is dealing with the flexible, and sometimes dynamic, nature of the execution of human-mediated tasks. It is well-recognized that human execution does not a
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Stefan Bornemann,Martin Klementrent kinds of ontologies. The modeling variations are illustrated by using two enterprise modeling enigmas to which both ontologies are applied. The goal of our comparison is to demonstrate that the choice of an ontology impacts on the representation of real world phenomena and will eventually result in different enterprise models.
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