Semantic Distance Measures |
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Authors: | Martin C Cooper |
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Affiliation: | IRIT, University of Toulouse III, France |
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Abstract: | The measurement of information is potentially as important to an information engineer as the measurement of physical quantities is to a civil or mechanical engineer. This article introduces semantic measures, representing the distance between the meanings of two messages. We demonstrate one possible application by giving a small-scale example in which a semantic measure was used to retrieve information by meaning rather than by word-occurrence. The distance function between the meanings of two messages can be generalized to cover fuzzy meanings. A possible application, the processing of free responses to opinion polls, is described. |
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Keywords: | information semantic measures meaning metric spaces fuzzy sets information retrieval |
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