Abstract
Semantic wikis provide a flexible solution for collaborative knowledge engineering. The reasoning capabilities of most of the semantic wiki systems are limited to lightweight reasoning, e.g. with the use of RDF. Number of systems try to integrate strong reasoning with rules. Since most of the regular rule engines are hard to integrate, custom solutions are needed. In the paper a practical approach for embedding a flexible rule engine called HeaRT into a semantic wiki is given. HeaRT supports several inference modes, as well as rule base structuring, which makes it particularly suitable for a wiki.
The paper is supported by the BIMLOQ Project funded from 2010–2012 resources for science as a research project.
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Nalepa, G.J., Bobek, S. (2011). Embedding the HeaRT Rule Engine into a Semantic Wiki. In: Katarzyniak, R., Chiu, TF., Hong, CF., Nguyen, N.T. (eds) Semantic Methods for Knowledge Management and Communication. Studies in Computational Intelligence, vol 381. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23418-7_23
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DOI: https://doi.org/10.1007/978-3-642-23418-7_23
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