ALOCOM: a generic content model for learning objects
International Journal on Digital Libraries - Special Issue on Educational digital libraries on the verge
A semantic-based approach to content abstraction and annotation for content management
Expert Systems with Applications: An International Journal
E-studium: blended e-learning for university education support
International Journal of Learning Technology
The open research system: a web-based metadata and data repository for collaborative research
Computers and Electronics in Agriculture
A Bidirectional Heuristic Search for web service composition with costs
International Journal of Web and Grid Services
A multi-strategy knowledge interoperability framework for heterogeneous learning objects
Expert Systems with Applications: An International Journal
Metrics-based evaluation of learning object reusability
Software Quality Control
ICCSA'11 Proceedings of the 2011 international conference on Computational science and its applications - Volume Part III
ELCHEM: a metalaboratory to develop grid e-learning technologies and services for chemistry
ICCSA'05 Proceedings of the 2005 international conference on Computational Science and its Applications - Volume Part I
Distributed and collaborative learning objects repositories on grid networks
ICCSA'10 Proceedings of the 2010 international conference on Computational Science and Its Applications - Volume Part IV
ICCSA'13 Proceedings of the 13th international conference on Computational Science and Its Applications - Volume 1
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The increasingly popular Learning Object-based didactic approach has been investigated by considering related activities of the European Chemistry Thematic Network. Learning Objects specific interoperability and reusability properties have been considered for building a didactic-scientific repositories federation. For this reason international standards have been adopted to solve interoperability problems among the different computing elements of the adopted platforms and a module has been created to effectively manage taxonomy to classify Learning Objects via ontology-based criteria.