Semantic Web Technologies for Explainable Machine Learning Models: A Literature Review

AskOmics, a web tool to integrate and query biological data using semantic web technologies.. Xavier Garnier, Anthony Bretaudeau, Olivier Filangi, Fabrice Legeai, Anne Siegel,

Examples of using mobile technologies in this context include a mobile learning organiser which has been developed and tested at the University of Birmingham (Holme and Sharples

This model provided the foundation for building the new Knowledge & Learning beta web- site, presenting learning resources in the context of the UK national curricula in

The in- creasing availability of Semantic Web based educational resources and the establishment of open metadata standards like IEEE LOM pave the way for enhanced e-Learning

In this paper, we have proposed a multi view recommendation engine which exploits semantic web technologies such as semantic items’ description and social

The proposed Infinite Hidden Semantic Model (IHSM) is a machine learning algorithm from the area of Statistical Relational Learning (SRL) [2].. The novelty is its additional ability

In closing, to be integrated in motor learning support systems, the aforementioned machine learning approaches should be combined with adaptation mechanisms that aim to

Due to the increasing popularity of the industrial knowledge graph we utilize Semantic Web technologies (RDF, OWL and the Shapes Constraint Language (SHACL)) for