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

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 experimen...

Full description

Saved in:
Bibliographic Details
Published in2012 Seventh International Workshop on Semantic and Social Media Adaptation and Personalization pp. 87 - 91
Main Authors Groues, V., Naudet, Y., Kao, O.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.12.2012
Subjects
Correlation
dbpedia
Electronic mail
Humans
Motion pictures
Ontologies
recommender system
semantic similarity measure
Semantic Web
Semantics
Online AccessGet full text

Cover

More Information
Summary: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.
ISBN:1467345636
9781467345637
DOI:10.1109/SMAP.2012.24