The World Wide Web is moving from a Web of hyper-linked documents to a Web of linked data. Thanks to the Semantic Web technological stack and to the more recent 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.
Recommender Systems and Linked Open Data / Di Noia, Tommaso; Ostuni, Vito Claudio (LECTURE NOTES IN COMPUTER SCIENCE). - In: Reasoning Web. Web Logic Rules : 11th International Summer School 2015, Berlin, Germany, July 31- August 4, 2015, Tutorial Lectures. / [a cura di] Wolfgang Faber; Adrian Paschke. - STAMPA. - Cham, CH : Springer, 2015. - ISBN 978-3-319-21767-3. - pp. 88-113 [10.1007/978-3-319-21768-0_4]
Recommender Systems and Linked Open Data
Tommaso Di Noia;Vito Claudio Ostuni
2015-01-01
Abstract
The World Wide Web is moving from a Web of hyper-linked documents to a Web of linked data. Thanks to the Semantic Web technological stack and to the more recent 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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
