| N. Simou, S. Kollias |
| FiRE : A Fuzzy Reasoning Engine for Impecise Knowledge |
| K-Space PhD Students Workshop, Berlin, Germany, 14 September 2007 |
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ABSTRACT
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| Imprecise and vague information is part of our lives. Concepts like ``tall", ``clever", ``fat" and others are imprecise since they can be used with slightly different meaning. Hence, we might use the concept tall to say that Paul is tall and Frank is tall. In this case someone could consider that Paul and Frank have the same height, fact that is not necessarily true. Similar problems occur in many areas such as Semantic Web, multimedia processing, medical informatics, databases and many more. In this paper FiRE -a Fuzzy Reasoning Engine- based on the fuzzy extension of DL language SHIN is presented. Contrary to the existing reasoners, FiRE can deal with imprecise information providing useful inference services.
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| 14 September, 2007 |
| N. Simou, S. Kollias, "FiRE : A Fuzzy Reasoning Engine for Impecise Knowledge", K-Space PhD Students Workshop, Berlin, Germany, 14 September 2007 |
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