Smart cities have emerged as a result of smart interconnections of people, processes, data,
and things, representing an excellent case study of the Internet of Everything (IoE) paradigm …

With Knowledge Graphs (KGs) at the center of numerous applications such as recommender
systems and question-answering, the need for generalized pipelines to construct and …

With knowledge graphs (KGs) at the center of numerous applications such as recommender
systems and question answering, the need for generalized pipelines to construct and …

Ontology Matching (OM), is a critical task in knowledge integration, where aligning
heterogeneous ontologies facilitates data interoperability and knowledge sharing …

Ontology matching is an integral part for establishing semantic interoperability. One of the
main challenges within the ontology matching operation is semantic heterogeneity, ie …

Crop disease management in smart agriculture involves applying and using new
technologies to reduce the impact of diseases on the quality of products. Coffee rust is a …

Ontology matching plays a pivotal role in aligning entities across diverse ontologies,
enhancing interoperability and data exchange. Similarity features are the foundation of …

A rich biomedical knowledge graph can support the multi-domain data integration necessary
for the application of Artificial Intelligence models in personalised medicine. Constructing …

The perception of the value and propriety of modern engineered systems is changing. In
addition to their functional and extra-functional properties, nowadays' systems are also …

The importance of taking individual, potentially conflicting perspectives into account when
dealing with knowledge has been widely recognised. Many existing ontology management …