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  • Wydział Fizyki Technicznej, Informatyki i Matematyki Stosowanej / Faculty of Technical Physics, Information Technology and Applied Mathematics / W7
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Evaluating semantic similarity with a new method of path analysis in RDF using genetic algorithms

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Evaluating_semantic_similarity_Strobin_2013.pdf (176.7Kb)
Date
2013
Author
Strobin, Łukasz
Niewiadomski, Adam
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Abstract
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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http://hdl.handle.net/11652/476
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  • Artykuły (WFTIiMS) [207]

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