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Process-Oriented Information Logistics: Requirements, Techniques, Application

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Advances in Intelligent Process-Aware Information Systems

Part of the book series: Intelligent Systems Reference Library ((ISRL,volume 123))

Abstract

Enterprises are confronted with a continuously increasing data load. Examples of such data include sensor data, office files, e-mails, guidelines, and business data. In turn, this data overload makes it difficult for knowledge workers to identify information needed to perform their tasks in the best possible way. To remedy this information underload and to optimally utilize enterprise data, the latter must be aligned with business processes. In fact, process-related information and business processes are usually managed separately. On one hand, enterprise content management systems, shared drives, and Intranet portals are used fss management technology is used to design and enact business processes. With process-oriented information logistics (POIL), this chapter presents an approach for bridging this gap. In particular, POIL enables the process-oriented and context-aware delivery of process-related information to knowledge workers. We also present use cases and proof-of-concept prototypes to demonstrate the application and benefits of POIL.

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Notes

  1. 1.

    Our implementation of the SIN Link Popularity Algorithm can be found at http://sourceforge.net/projects/linkinganalyzer/.

  2. 2.

    Our implementation of the SIN Rate Popularity Algorithm can be found at http://sourceforge.net/projects/ratinganalyzer/.

  3. 3.

    A screencast presenting the iCare application is available at http://nipro.hs-weingarten.de/screencast.

  4. 4.

    These ContentProviders are available as open-source plugins at http://sourceforge.net/directory/?q=iqser.

  5. 5.

    Since we have no access to international digital medical libraries we use the German health portal Onmeda (http://www.onmeda.de) instead. Therefore, some screenshots contain German text.

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Acknowledgements

This work was done in the niPRO research project. The project is funded by the German Federal Ministry of Education and Research (BMBF) under grant number 17102X10. More information can be found at http://www.nipro-project.org.

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Authors and Affiliations

  1. University of Applied Sciences Ravensburg-Weingarten, Württemberg, Germany

    Bernd Michelberger & Bela Mutschler

  2. Institute of Databases and Information Systems, University of Ulm, Ulm, Germany

    Markus Hipp

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  1. Bernd Michelberger
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Correspondence to Bernd Michelberger .

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Editors and Affiliations

  1. Institute of Databases and Information Systems, University of Ulm, Ulm, Germany

    Gregor Grambow

  2. Faculty of Electronics and Computer Science, Aalen University, Aalen, Germany

    Roy Oberhauser

  3. Institute of Databases and Information Systems, University of Ulm, Ulm, Germany

    Manfred Reichert

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Michelberger, B., Hipp, M., Mutschler, B. (2017). Process-Oriented Information Logistics: Requirements, Techniques, Application. In: Grambow, G., Oberhauser, R., Reichert, M. (eds) Advances in Intelligent Process-Aware Information Systems. Intelligent Systems Reference Library, vol 123. Springer, Cham. https://doi.org/10.1007/978-3-319-52181-7_5

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  • DOI: https://doi.org/10.1007/978-3-319-52181-7_5

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