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Collaborative Knowledge Engineering with Wikis

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Modeling with Rules Using Semantic Knowledge Engineering

Part of the book series: Intelligent Systems Reference Library ((ISRL,volume 130))

Abstract

In this chapter we discuss original results in the area of Collaborative Knowledge Engineering. The knowledge engineering process becomes more complex when we consider the participation of many individual knowledge engineers. They might participate in the process in roughly the same time using distributed tools. They might also take part in a gradual development of knowledge bases. The most interesting case is the collaborative one where there is a clear mutual engagement of participants in a coordinated effort to solve problems together. This of course requires some special tools. In our opinion they can be provided based on the semantic wiki technology. We begin with the presentation of the Loki platform, an original semantic wiki solution that combines the ideas of SKE with semantic wikis. We extended Loki with business users in mind. To this goal we provided extended capabilities of SBVR authoring. Furthermore, another extension allows for authoring of the BPMN models.

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Notes

  1. 1.

    See http://www.wikimatrix.org.

  2. 2.

    See http://semanticweb.org/wiki/Semantic_Wiki_State_Of_The_Art.

  3. 3.

    See http://www.kiwi-project.eu.

  4. 4.

    See http://loki.ia.agh.edu.pl.

  5. 5.

    See http://e-culture.multimedian.nl/software/ClioPatria.shtml.

  6. 6.

    See http://www.dokuwiki.org.

  7. 7.

    See: http://www.rulearts.com/RuleXpress.

  8. 8.

    See: http://sbeaver.sourceforge.net.

  9. 9.

    See: http://www.sbvr.co.

  10. 10.

    See http://plantuml.sf.net.

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Authors and Affiliations

  1. AGH University of Science and Technology, Kraków, Poland

    Grzegorz J. Nalepa

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Nalepa, G.J. (2018). Collaborative Knowledge Engineering with Wikis. In: Modeling with Rules Using Semantic Knowledge Engineering. Intelligent Systems Reference Library, vol 130. Springer, Cham. https://doi.org/10.1007/978-3-319-66655-6_15

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  • DOI: https://doi.org/10.1007/978-3-319-66655-6_15

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