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A Hierarchical Approach to Assess Keyword Dependencies in Fuzzy Keyword Ontologies

Christer Carlsson, Mario Fedrizzi, Robert Fullér, A Hierarchical Approach to Assess Keyword Dependencies in Fuzzy Keyword Ontologies. In: Chin-Teng Lin (Ed.), Proceedings of the 2011 IEEE International Conference on Fuzzy Systems, 1799-1804, IEEE Computer Society Press, 2011.

http://dx.doi.org/10.1109/FUZZY.2011.6007391

Abstract:

The Knowledge Mobilization project (KNOWMO BILE) has been a joint effort by Institute for Advanced Management Systems Research, Abo Akademi University and VTT Technical Research Centre of Finland. Its goal was to better "mobilize" knowledge stored in heterogeneous databases for users with various backgrounds, geographical locations and situations. The working hypothesis of the project was that fuzzy mathematics combined with domain-specific data models, in other words, fuzzy ontologies, would help manage the uncertainty in finding information that matches the users needs. In this way, KNOWMOBILE places itself in the domain of knowledge management. In this paper we describe an industrial demonstration of fuzzy ontologies in information retrieval in the paper industry where problem solving reports are annotated with keywords and then stored in a database for later use. Furthermore, using Bellmann-Zadeh's principle to fuzzy decision-making we will show a method for identifying keyword dependencies in the keyword taxonomic tree.

BibTeX entry:

@INPROCEEDINGS{inpCaFeFu11a,
  title = {A Hierarchical Approach to Assess Keyword Dependencies in Fuzzy Keyword Ontologies},
  booktitle = {Proceedings of the 2011 IEEE International Conference on Fuzzy Systems},
  author = {Carlsson, Christer and Fedrizzi, Mario and Fullér, Robert},
  editor = {Lin, Chin-Teng},
  publisher = {IEEE Computer Society Press},
  pages = {1799-1804},
  year = {2011},
  keywords = {Fuzzy ontology; keyword ontology; fuzzy coverage},
}

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

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