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Spreadsheet-Based Knowledge Acquisition for Facilitating Active Domain Expert Participation

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Knowledge Engineering and Knowledge Management (EKAW 2014)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 8982))

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Abstract

(Poster) We propose a spreadsheet-based knowledge acquisition (KA) approach for lowering the familiarization hurdle and thus increasing the ease of use and user experience for domain experts. Thus, by enabling experts to (mostly) autonomously participate in KA, the approach adds to the overall diversity of today’s KA tool landscape.

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References

  1. Baumeister, J., Reutelshoefer, J., Puppe, F.: KnowWE: A Semantic Wiki for Knowledge Engineering. Applied Intelligence 35(3), 323–344 (2011)

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  4. Noy, N.F., Grosso, W.E., Musen, M.A.: Knowledge-acquisition interfaces for domain experts an empirical evaluation of protege-2000. In: Proceedings of the 12th Internal Conference on Software and Knowledge Engineering. Chicago, USA, July, 5–7, 2000, pp. 5–7 (2000)

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Author information

Authors and Affiliations

  1. Department of Artificial Intelligence and Applied Informatics, Institute of Computer Science, University of Würzburg, Am Hubland, D-97074, Würzburg, Germany

    Martina Freiberg, Felix Herrmann & Frank Puppe

Authors
  1. Martina Freiberg
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  2. Felix Herrmann
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  3. Frank Puppe
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Corresponding author

Correspondence to Martina Freiberg .

Editor information

Editors and Affiliations

  1. Linköping University, Linköping, Sweden

    Patrick Lambrix

  2. Aalto University, Espoo, Finland

    Eero Hyvönen

  3. Linköping University, Linköping, Sweden

    Eva Blomqvist

  4. STLab ISTC-CNR, Rome, Italy

    Valentina Presutti

  5. Southeast University, Nanjing, Jiangsu, China

    Guilin Qi

  6. University of Manchester, Manchester, United Kingdom

    Uli Sattler

  7. Indiana University Bloomington, Bloomington, Indiana, USA

    Ying Ding

  8. Fondazione Bruno Kessler, Trento, Italy

    Chiara Ghidini

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Freiberg, M., Herrmann, F., Puppe, F. (2015). Spreadsheet-Based Knowledge Acquisition for Facilitating Active Domain Expert Participation. In: Lambrix, P., et al. Knowledge Engineering and Knowledge Management. EKAW 2014. Lecture Notes in Computer Science(), vol 8982. Springer, Cham. https://doi.org/10.1007/978-3-319-17966-7_12

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  • DOI: https://doi.org/10.1007/978-3-319-17966-7_12

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-17965-0

  • Online ISBN: 978-3-319-17966-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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