Evaluating semantic similarity with a new method of path analysis in RDF using genetic algorithms

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Wydawnictwo Politechniki Łódzkiej
Lodz University of Technology. Press


This paper presents a novel method of evaluating semantic similarity by means of path analysis in RDF databases. Similarity is calculated by assignining each property (predicate in RDF terms) a weight, which is found using a genetic optimization algorithm. Presented method exhibits an advatage over existing methods, because of its flexibility and the fact that no prior knowledge of a particular database is necessary. This paper also presents an exemplary application of the method - recommendation engine. Proposed method is applied to a well known problem - music recommendation based on DBPedia. Results obtained in the experiment positively verify its advanntages and usefulness.


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Journal of Applied Computer Science., 2013 Vol.21 nr 2 s.137-151