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 …

In an open and distributed platform as the Web there are problems associated with the
heterogeneity and information overload. In this context, teaching community and learners …

The era of big data has emerged. The volume of generated data has never been greater.
Massive quantities of data are stored on a huge number of servers that are inter-connected …

Abstract The Web of Data has been introduced as a novel scheme for imposing structured
data on the Web. This renders data easily understandable by human beings and seamlessly …

Current retrieval and recommendation approaches rely on hard-wired data models. This
hinders personalized customizations to meet information needs of users in a more flexible …

According to IBM statistics, the internet generates 2.5 trillion items of heterogeneous data on
a daily basis. Known as' big data', this degrades the performance of search engines and …

The research project we present in this paper concerns an ontology-based recommender for
teacher training and support. An important issue in Computer-Assisted Language Learning …

Data published on the web following the principles of linked data has resulted in a global
data space called the Web of Data. These principles led to semantically interlink and …

Collaborative filtering (CF) aims at producing recommendations for a user based on other
users of similar taste, their k-neighbors. Since the computation of the neighborhood …

Recommender systems help consumers to find products online. But because many content-
based systems work with insufficient data, recent research has focused on enhancing item …