@inbook {Figueroa2019,
	title = {Executing, Comparing, and Reusing Linked-Data-Based Recommendation Algorithms With the Allied Framework},
	booktitle = {Semantic Web Science and Real-World Applications},
	year = {2019},
	pages = {18-47},
	publisher = {IGI Global},
	organization = {IGI Global},
	edition = {IGI Global},
	abstract = {<p>Data published on the Web following the Linked Data principles has resulted in a global data space called the Web of Data. These principles led to semantically interlink and connect different resources at data level regardless their structure, authoring, location, etc. The tremendous and continuous growth of the Web of Data also implies that now it is more likely to find resources that describe real-life concepts. However, discovering and recommending relevant related resources is still an open research area. This chapter studies recommender systems that use Linked Data as a source containing a significant amount of available resources and their relationships useful to produce recommendations. Furthermore, it also presents a framework to deploy and execute state-of-the-art algorithms for Linked Data that have been re-implemented to measure and benchmark them in different application domains and without being bound to a unique dataset.</p>
},
	isbn = {9781522571865},
	doi = {10.4018/978-1-5225-7186-5.ch002},
	url = {http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-7186-5 https://www.igi-global.com/gateway/chapter/full-text-html/215060 http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-7186-5.ch002},
	author = {Cristhian Figueroa and Iacopo Vagliano and Oscar Rodr\&iacute;guez Rocha and Marco Torchiano and Catherine Faron Zucker and Juan Carlos Corrales and Maurizio Morisio and Christian Nicol{\'a}s Figueroa Mart{\'\i}nez},
	editor = {Miltiadis D. Lytras and Naif Aljohani and Ernesto Damiani and Kwok Tai Chui}
}
