  Personal Knowledge Graphs (PKGs) are introduced by the semantic web community
as small-sized user-centric knowledge graphs (KGs). PKGs fill the gap of
personalised representation of user data and interests on the top of big,
well-established encyclopedic KGs, such as DBpedia. Inspired by the widely
recent usage of PKGs in the medical domain to represent patient data, this PhD
proposal aims to adopt a similar technique in the educational domain in
e-learning platforms by deploying PKGs to represent users and learners. We
propose a novel PKG development that relies on ontology and interlinks to
Linked Open Data. Hence, adding the dimension of personalisation and
explainability in users' featured data while respecting privacy. This research
design is developed in two use cases: a collaborative search learning platform
and an e-learning platform. Our preliminary results show that e-learning
platforms can get benefited from our approach by providing personalised
recommendations and more user and group-specific data.
