Towards Human Perception of Relatedness: A Fuzzy Semantic Relatedness Measure

M. Tvrdíková, J. Ministr, P. Rozehnal (eds.) Information Technology for Practice 2012, Proceedings Ekonomická fakulta VŠB = Informační technologie pro praxi: sborník přednášek, Frýdek-Místek: VŠB-Technická Univerzita Ostrava, 108-114

7 Pages Posted: 31 Oct 2015

Date Written: 2012

Abstract

The goal of this study is to present a concept of a fuzzy semantic relatedness measure that was derived on the basis of human perception of relatedness and a fuzzy set theory. The fuzzy semantic relatedness measure is perceived as a linguistic variable that can take one of the following values: lack of relationships, weak relationships, neutral, strong relationships, synonyms. These values are treated as fuzzy sets with membership functions that can be defined with the use of different semantic relatedness measures. It seems that the concept of the semantic relatedness measure could be incorporated in information retrieval and information filtering systems.

Keywords: Semantic relatedness measures, fuzzy sets, linguistic variables

JEL Classification: C60, C80

Suggested Citation

Paliwoda-Pękosz, Grażyna, Towards Human Perception of Relatedness: A Fuzzy Semantic Relatedness Measure (2012). M. Tvrdíková, J. Ministr, P. Rozehnal (eds.) Information Technology for Practice 2012, Proceedings Ekonomická fakulta VŠB = Informační technologie pro praxi: sborník přednášek, Frýdek-Místek: VŠB-Technická Univerzita Ostrava, 108-114, Available at SSRN: https://ssrn.com/abstract=2683566

Grażyna Paliwoda-Pękosz (Contact Author)

Cracow University of Economics ( email )

ul. Rakowicka 27
Krakow, 31-510
Poland

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