Recommender Systems and Linked Open Data

Reasoning Web. Web Logic Rules. 11th International Summer School 2015 - 2015
Download the publication : Recommender Systems and Linked Open Data - RW 2015.pdf [1.1Mo]  
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.

BibTex references


@InProceedings{DO15,
author = {Tommaso {Di Noia} and Vito Claudio Ostuni},
title = "Recommender Systems and Linked Open Data",
booktitle = "Reasoning Web. Web Logic Rules. 11th International
Summer School 2015",
series = "Lecture Notes in Computer Science",
year = "2015",
publisher = "Springer",
url = "http://www-ictserv.poliba.it/publications/2015/DO1
5"
}

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SisInf Lab - Information Systems Laboratory

Research group of Politecnico di Bari
Edoardo Orabona St, 4 Bari, Italy