Ontology and knowledge-based systems typically provide e-learning recommender systems.
However, ontology use in such systems is not well studied in systematic detail. Therefore …

In the last 16 years, more than 200 research articles were published about research-paper
recommender systems. We reviewed these articles and present some descriptive statistics in …

A recommender system aims to provide users with personalized online product or service
recommendations to handle the increasing online information overload problem and …

Improving the efficiency of methods has been a big challenge in recommender systems. It
has been also important to consider the trade-off between the accuracy and the computation …

In recent years, there has been significant growth in the use of online learning resources by
learners. However, due to information overload, many learners are experiencing difficulties …

Content-based recommender systems (CBRSs) rely on item and user descriptions (content)
to build item representations and user profiles that can be effectively exploited to suggest …

Abstract Linked Open Data has been recognized as a valuable source for background
information in many data mining and information retrieval tasks. However, most of the …

Ontologies of research areas are important tools for characterising, exploring, and analysing
the research landscape. Some fields of research are comprehensively described by large …

Cultural Heritage (CH) data is syntactically and semantically heterogeneous, multilingual,
semantically rich, and highly interlinked. It is produced in a distributed, open fashion by …

Defining a formal domain ontology is generally considered a useful, not to say necessary
step in almost every software project. This is because software deals with ideas rather than …