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A modification of Wu and Palmer Semantic Similarity Measure

Authors:
Djamel Guessoum
Moeiz Miraoui
Chakib Tadj

Keywords: semantic similarity; Wu and Palmer; Taxonomy; context.

Abstract:
Context-aware applications are intended to facilitate the adaptation of services in a pervasive computing system. The semantic similarity between contexts and the application of a semantic similarity measure as a mechanism for service adaptation are topics that have yet to be thoroughly explored in the literature. The most developed semantic similarity measures are those applied to the ontological / taxonomic representation of the context. The Wu and Palmer semantic similarity measure is one of these measures that is characterized by its simplicity and high performance, but it can give inaccurate results because two concepts in the same hierarchy of an ontology may show a lower similarity than two concepts belonging to different hierarchies. In this work, we present a modification to improve the accuracy of this measure.

Pages: 42 to 46

Copyright: Copyright (c) IARIA, 2016

Publication date: October 9, 2016

Published in: conference

ISSN: 2308-4278

ISBN: 978-1-61208-505-0

Location: Venice, Italy

Dates: from October 9, 2016 to October 13, 2016