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E-Business-Software – Big-Data-Management mit semantischen Technologien

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Zusammenfassung

Big-Data-Management ist nicht nur für große Unternehmen ein Problem; auch für kleine und mittlere Unternehmen (KMU) ist es zu einer Herausforderung geworden. Heutzutage müssen Unternehmen, unabhängig von ihrer Größe, mit Geschäfts- und Prozessdaten umgehen können, die zunehmend komplexer werden und fast ausschließlich elektronisch ablaufen. Die Informationssysteme von Unternehmen benötigen Funktionen, die auf spezifischen Technologien basieren, um die Komplexität von Geschäftsdaten und -prozessen reduzieren und interpretieren zu können. Dieser Beitrag geht der Frage nach: Wie können State-of-the-Art-Informationssysteme durch den Einsatz semantischer Technologien, insbesondere Ontologien, verbessert werden? Zu diesem Zweck werden drei Anwendungsfälle von Informationssystemen beschrieben, die verbessert werden können, und es werden Lösungsansätze vorgeschlagen, die auf semantischen Technologien und Ontologien basieren. Die ausgewählten Anwendungsfälle beziehen sich auf Datenintegration, Datenqualität und Geschäftsprozessintegration.

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Authors and Affiliations

  1. Wiesbaden, Deutschland

    Werner Quint, Bastian Eine & Matthias Jurisch

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  1. Werner Quint
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  2. Bastian Eine
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Correspondence to Werner Quint .

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  1. Hochschule RheinMain, Wiesbaden, Germany

    Christoph Kochhan

  2. Hochschule RheinMain , Wiesbaden, Germany

    Alexander Moutchnik

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Quint, W., Eine, B., Jurisch, M. (2018). E-Business-Software – Big-Data-Management mit semantischen Technologien. In: Kochhan, C., Moutchnik, A. (eds) Media Management. Springer Gabler, Wiesbaden. https://doi.org/10.1007/978-3-658-23297-9_21

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  • DOI: https://doi.org/10.1007/978-3-658-23297-9_21

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