Please use this identifier to cite or link to this item: https://rfos.fon.bg.ac.rs/handle/123456789/353
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dc.creatorJovanović, Jelena
dc.creatorGašević, D.
dc.creatorVerbert, K.
dc.creatorDuval, E.
dc.date.accessioned2023-05-12T10:00:30Z-
dc.date.available2023-05-12T10:00:30Z-
dc.date.issued2005
dc.identifier.issn0922-6389
dc.identifier.urihttps://rfos.fon.bg.ac.rs/handle/123456789/353-
dc.description.abstractThis 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.en
dc.publisherIOS Press BV
dc.rightsrestrictedAccess
dc.sourceFrontiers in Artificial Intelligence and Applications
dc.titleOntology of Learning Object Content Structureen
dc.typeconferenceObject
dc.rights.licenseARR
dc.citation.epage329
dc.citation.other125: 322-329
dc.citation.spage322
dc.citation.volume125
dc.identifier.rcubconv_3738
dc.identifier.scopus2-s2.0-85139011564
dc.type.versionpublishedVersion
item.cerifentitytypePublications-
item.fulltextNo Fulltext-
item.grantfulltextnone-
item.openairetypeconferenceObject-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
Appears in Collections:Radovi istraživača / Researchers’ publications
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