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A Comparison of Semantic Similarity Models in Evaluating Concept Similarity : Volume Xxxix-b2, Issue 1 (01/08/2012)

By Xu, Q. X.

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Book Id: WPLBN0004016455
Format Type: PDF Article :
File Size: Pages 6
Reproduction Date: 2015

Title: A Comparison of Semantic Similarity Models in Evaluating Concept Similarity : Volume Xxxix-b2, Issue 1 (01/08/2012)  
Author: Xu, Q. X.
Volume: Vol. XXXIX-B2, Issue 1
Language: English
Subject: Science, Isprs, International
Collections: Periodicals: Journal and Magazine Collection, Copernicus Publications
Historic
Publication Date:
2012
Publisher: Copernicus Publications, Göttingen, Germany
Member Page: Copernicus Publications

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Xu, Q. X., & Shi, W. Z. (2012). A Comparison of Semantic Similarity Models in Evaluating Concept Similarity : Volume Xxxix-b2, Issue 1 (01/08/2012). Retrieved from http://www.worldebookfair.org/


Description
Description: Dept. of LSGI, The Hong Hong Polytechnic University, Hung Hom, Kowloon, Hong Kong. The semantic similarities are important in concept definition, recognition, categorization, interpretation, and integration. Many semantic similarity models have been established to evaluate semantic similarities of objects or/and concepts. To find out the suitability and performance of different models in evaluating concept similarities, we make a comparison of four main types of models in this paper: the geometric model, the feature model, the network model, and the transformational model. Fundamental principles and main characteristics of these models are introduced and compared firstly. Land use and land cover concepts of NLCD92 are employed as examples in the case study. The results demonstrate that correlations between these models are very high for a possible reason that all these models are designed to simulate the similarity judgement of human mind.

Summary
A COMPARISON OF SEMANTIC SIMILARITY MODELS IN EVALUATING CONCEPT SIMILARITY

 

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