Formalising contextual expert knowledge for causal discovery in linked knowledge graphs about transformation processes: application to processing of bio-composites for food packaging
With numerous parameters and criteria to take into account, transformation processes are a challenge to model and reason about. This work can be eased thanks to knowledge graphs, which are a widespread practice for formalising knowledge associated with ...
O'FAIRe makes you an offer: metadata-based automatic FAIRness assessment for ontologies and semantic resources
We have not yet seen a clear methodology implemented and tooled to automatically assess the level of FAIRness of semantic resources. We propose a metadata-based automatic FAIRness assessment methodology for ontologies and semantic resources called ...
Semantic association rules for data interestingness using domain ontology
The COVID-19 pandemic is a major public health crisis threatening people's health, well-being, freedom to travel and the global economy. Understanding COVID-19 symptoms for determining the severity of cases is critical. This study aimed to discover ...
Semantic structure for describing IoT system: application for smart home and smart airport
The Internet of Things (IoT) is the interconnection between the internet and objects, places and physical environments. These objects can exchange information and digital data between the real world and the Internet. The ubiquitous connectivity provided ...
Towards the generalisation of the generation of answerable questions from ontologies for education
Generating questions automatically from ontologies, and marking thereof, may support teaching and learning activities and therewith alleviate a teacher's workload. Numerous studies considered this for MCQs; however, learners also have to be confronted ...
