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Due to the immense advance of widely accessible information systems in industrial applications, science, education and every day use, it becomes more and more difficult to keep track with new and updated information. An approach to cope with this problem is to go beyond traditional search facilities and use the users' profiles to monitor updates and to actively inform them about relevant changes instead.The author introduces a model-driven approach to specify the semantics of such an event-handling and notification component. The necessary software artifacts can automatically be generated from…mehr

Produktbeschreibung
Due to the immense advance of widely accessible information systems in industrial applications, science, education and every day use, it becomes more and more difficult to keep track with new and updated information. An approach to cope with this problem is to go beyond traditional search facilities and use the users' profiles to monitor updates and to actively inform them about relevant changes instead.The author introduces a model-driven approach to specify the semantics of such an event-handling and notification component. The necessary software artifacts can automatically be generated from this model and can be used to enhance existing information systems in a non-invasive way. In combination with the integrated optimization approach, a scalable, maintainable and reusable framework for IT architects and developers is presented.
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Autorenporträt
Michael Guppenberger received his diploma (German equivalent to master's degree) in computer science from the University of Passau in 2001. Ever since then, he has been focusing on the development and research of information systems, mainly using custom meta-models and generative approaches. In 2011, he received his doctorate for the thesis "Enhancing Information-Systems with Event-Handling - A Non-Invasive Approach". He is currently working as a Lead IT-Consultant for msg systems ag, Germany.