@inproceedings{417f8ba03dd34279a34acbc9e3ee2b18,
title = "Ontology of learning object content structure",
abstract = "This paper proposes an ontology that enables a formal definition of Learning Object (LO) content structure. The ontology extends the Abstract Learning Object Content Model (ALOCoM) with concepts from information architectures. It defines a number of concepts that represent different types of content units and it specifies their structure. Formalising structural aspects of LOs, the ontology facilitates re-purposing of LOs at different levels of content granularity, i.e. LOs in their entirety and their components. Furthermore, being a generic LO content model, the ontology serves as an integration point of heterogeneous LO content models.",
author = "J. Jovanovic and D. Gasevic and K. Verbert and E. Duval",
year = "2005",
language = "English",
isbn = "978-1-58603-530-3",
series = "Frontiers in Artificial Intelligence and Applications",
publisher = "IOS Press",
pages = "322--329",
editor = "C.-K. Looi and G. McCalla and B. Bredeweg and J. Breuker",
booktitle = "Artificial intelligence in education supporting learning through intelligent and socially informed technology(AIED 2005)",
address = "Netherlands",
note = "conference; 12th international conference on artificial intelligence in education (AIED-2005), 18-22 july 2005, Amsterdam, The Netherlands ; Conference date: 01-01-2005",
}