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Employing Knowledge Artifacts to Develop Time-Depending Expert Systems

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Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2015)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 631))

Abstract

The integration of heterogeneous information gathered from wearable devices, like watches, bracelets and smartphones, is becoming a very important research trend. The Expert Systems’ technology should be able to face this interesting challenge, promoting the development of innovative frameworks runnable on wearables and mobile operating systems. In particular, users and domain experts could be able to interact directly, minimizing the role of knowledge engineer and promoting the real–time updating of knowledge bases when necessary. This paper presents the KAFKA approach to this topic, based on the implementation of the Knowledge Artifact conceptual model supported by Android OS devices.

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Notes

  1. 1.

    JavaScript Object Notation, see http://json.org/.

  2. 2.

    See https://sites.google.com/site/gson/gson-user-guide#TOC-Goals-for-Gson.

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Author information

Authors and Affiliations

  1. Department of Computer Science, Systems and Communication (DISCo), University of Milan - Bicocca, Viale Sarca 336, 20126, Milan, Italy

    Fabio Sartori & Riccardo Melen

Authors
  1. Fabio Sartori
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  2. Riccardo Melen
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Corresponding author

Correspondence to Fabio Sartori .

Editor information

Editors and Affiliations

  1. Instituto de Telecomunicações/IST, Lisbon, Portugal

    Ana Fred

  2. Delft University of Technology, Delft, The Netherlands

    Jan L.G. Dietz

  3. University of Madeira, Funchal, Portugal

    David Aveiro

  4. University of Reading, Reading, United Kingdom

    Kecheng Liu

  5. Polytechnic Institute of SetĂşbal/INSTICC, SetĂşbal, Portugal

    Joaquim Filipe

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Sartori, F., Melen, R. (2016). Employing Knowledge Artifacts to Develop Time-Depending Expert Systems. In: Fred, A., Dietz, J., Aveiro, D., Liu, K., Filipe, J. (eds) Knowledge Discovery, Knowledge Engineering and Knowledge Management. IC3K 2015. Communications in Computer and Information Science, vol 631. Springer, Cham. https://doi.org/10.1007/978-3-319-52758-1_16

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  • DOI: https://doi.org/10.1007/978-3-319-52758-1_16

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-52757-4

  • Online ISBN: 978-3-319-52758-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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