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The Web KnowARR Framework: Orchestrating Computational Intelligence with Graph Databases

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Information Granularity, Big Data, and Computational Intelligence

Part of the book series: Studies in Big Data ((SBD,volume 8))

Abstract

This chapter presents fuzzy cognitive maps (FCM) as a vehicle for Web knowledge aggregation, representation, and reasoning. The corresponding Web KnowARR framework incorporates findings from fuzzy logic. To this end, a first emphasis is particularly on the Web KnowARR framework along with a stakeholder management use case to illustrate the framework’s usefulness as a second focal point. This management form is to help projects to acceptance and assertiveness where claims for company decisions are actively involved in the management process. Stakeholder maps visually (re-) present these claims. On one hand, they resort to non-public content and on the other they resort to content that is available to the public (mostly on the Web). The Semantic Web offers opportunities not only to present public content descriptively but also to show relationships. The proposed framework can serve as the basis for the public content of stakeholder maps.

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Author information

Authors and Affiliations

  1. Electrical Engineering and Computer Sciences Department, Berkeley Initiative in Soft Computing, University of California, Berkeley, CA, USA

    Edy Portmann

  2. Institute of Information Systems, Department of Information Management, University of Bern, Bern, Switzerland

    Edy Portmann & Patrick Kaltenrieder

Authors
  1. Edy Portmann
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  2. Patrick Kaltenrieder
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Correspondence to Edy Portmann .

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Editors and Affiliations

  1. Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Alberta, Canada

    Witold Pedrycz

  2. Department of Computer Science and Information Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan

    Shyi-Ming Chen

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Portmann, E., Kaltenrieder, P. (2015). The Web KnowARR Framework: Orchestrating Computational Intelligence with Graph Databases. In: Pedrycz, W., Chen, SM. (eds) Information Granularity, Big Data, and Computational Intelligence. Studies in Big Data, vol 8. Springer, Cham. https://doi.org/10.1007/978-3-319-08254-7_15

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  • DOI: https://doi.org/10.1007/978-3-319-08254-7_15

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  • Online ISBN: 978-3-319-08254-7

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