Semantic Distance Measures | Zendy

Cooper Martin C. | Zendy

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Semantic Distance Measures

Author(s) -

Cooper Martin C.

Publication year - 2000

Publication title -

computational intelligence

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.353

H-Index - 52

eISSN - 1467-8640

pISSN - 0824-7935

DOI - 10.1111/0824-7935.00106

Subject(s) - computer science , meaning (existential) , measure (data warehouse) , semantic similarity , function (biology) , natural language processing , word (group theory) , artificial intelligence , information retrieval , scale (ratio) , cover (algebra) , linguistics , data mining , psychology , engineering , physics , quantum mechanics , mechanical engineering , philosophy , evolutionary biology , biology , psychotherapist

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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