Semantic Distance Measures
Martin Cooper · Computational Intelligence · 2000
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.