2015 | OriginalPaper | Buchkapitel
Recommender Systems and Linked Open Data
verfasst von : Tommaso Di Noia, Vito Claudio Ostuni
Erschienen in: Reasoning Web. Web Logic Rules
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Abstract
Linked Open Data
(LOD
) initiative, a vast amount of RDF data have been published in freely accessible datasets connected with each other to form the so called LOD
cloud. As of today, we have tons of RDF data available in the Web of Data, but only a few applications really exploit their potential power. The availability of such data is for sure an opportunity to feed personalized information access tools such as recommender systems. We present an overview on recommender systems and we sketch how to use Linked Open Data
to build a new generation of semantics-aware recommendation engines.