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Fuzzy Ontology Used for Knowledge Mobilization

Christer Carlsson, Jozsef Mezei, Matteo Brunelli, Fuzzy Ontology Used for Knowledge Mobilization . International Journal of Intelligent Systems 28(1), 52–71, 2013.



Knowledge mobilization is a transition from the prevailing knowledge management to a new
methodology through some innovative methods for knowledge representation, formation, and
development and for knowledge retrieval and distribution. The context is industrial processes and finding solutions to complex problems that arise and for which at least partial solutions have been documented. The fact that a problem has been solved before normally makes it easier to solve it again and the existence of documents that describe how it was solved supports the problems solving process. But documents that describe the problem solving have to be retrieved from a large database of documents and the information that describes the content of a document is not precise.
We show that fuzzy ontology will be useful for finding a sufficiently small set of documents that are relevant for the problem solving even if they are imprecisely classified with keywords. 

BibTeX entry:

  title = {Fuzzy Ontology Used for Knowledge Mobilization },
  author = {Carlsson, Christer and Mezei, Jozsef and Brunelli, Matteo},
  journal = {International Journal of Intelligent Systems},
  volume = {28},
  number = {1},
  publisher = {WILEY},
  pages = {52–71},
  year = {2013},
  keywords = {Fuzzy Ontology, Knowledge Mobilization},

Belongs to TUCS Research Unit(s): Institute for Advanced Management Systems Research (IAMSR)

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