The ontological representation of learning objects is a way to deal with the interoperability and reusability of learning objects (including metadata) through providing a semantic...
ORN Additive is a prototype tool that was developed to show how the gap between database modeling and implementation can be reduced—more specifically, to show how associations d...
The paper proposes a framework for building learning object (LO) content using ontologies. In the previous work on using ontologies to describe LOs, researchers employed ontologies...
Dragan Gasevic, Jelena Jovanovic, Vladan Devedzic,...
Recent research has led to the advent of software systems capable of performing query processing in sensor networks. They perform query processing in a sensor network by construct...
The attentive region extraction is a challenging issue for semantic interpretation of image and video content. The successful attentive region extraction greatly facilitates image...