Adaptation and Evaluation of a Semantic Similarity Measure for DBPedia: A First Experiment

被引：2

作者：

Groues, Valentin ^{[1
]}

Naudet, Yannick ^{[1
]}

Kao, Odej ^{[2
]}

机构：

[1] Henri Tudor Publ Res Ctr, Luxembourg, Luxembourg

[2] Tech Univ Berlin, Berlin, Germany

来源：

2012 SEVENTH INTERNATIONAL WORKSHOP ON SEMANTIC AND SOCIAL MEDIA ADAPTATION AND PERSONALIZATION (SMAP 2012) | 2012年

关键词：

recommender system; semantic web; semantic similarity measure; dbpedia; WEB;

D O I：

10.1109/SMAP.2012.24

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

Semantic similarity measures aim at computing a value that represents to what extent two semantic resources are similar. This paper proposes an extension of a semantic similarity measure for large linked data sources such as DBPedia. In order to evaluate and compare similarity measures, an experiment is described to collect human evaluations of the similarity between pairs of movies. A correlation of 0.69 is observed between the human ratings and the results of the semantic similarity measure.

引用

页码：87 / 91

页数：5

共 23 条

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[22] An improved semantic information searching scheme based multi-agent system and an innovative similarity measure
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[23] Similar genes discovery system (SGDS): Application for predicting possible pathways by using GO semantic similarity measure
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