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LOM and DCMetadata about content (learning objects):• DC• LOM• Simple DC (15 attributes like title, relation, creator,...)• DC terms - Additional elements which refine basic elements(e.g. name, comment, definition, label refine title;isVersionOf, and so on)• Attributes are grouped into categories: general, life cycle,meta-metadata, technical, educational, rights, relation,classification, annotationUsing RDF bindings of LOM and DC in implementationP. Dolog 17/10/03 12
Topic Ontologies for Content ClassificationContent classified by topics (concepts) it coversdc:subject – we assume that the topic is fully covered(Topics can have different weights of covering – mentioned,introduced, covered)Values from ACM CCS classificationUsing lom-cls:Taxonomy instance in dc:subjectMore on this topic:Jan Brase, Wolfgang Nejdl: Ontologies for eLearning. In"Handbook on Ontologies" (Springer-Verlag 2003).P. Dolog 17/10/03 13
Page 1 and 2: An approach to personalization inth
Page 3 and 4: P. Dolog 17/10/03 3L3S Projects and
Page 5 and 6: P. Dolog 17/10/03 5Elena ProjectEle
Page 7 and 8: Motivation for PersonalizationEduca
Page 10 and 11: Open RDF-Based EnvironmentsDistribu
Page 14 and 15: P. Dolog 17/10/03 14ACM CCS part Ex
Page 16 and 17: LOM Accessibility ConstraintsExplic
Page 18 and 19: Describing UsersWhy: To be able to
Page 20 and 21: Schema in DAML (OWL) for performanc
Page 22 and 23: P. Dolog 17/10/03 22Preference Reco
Page 24 and 25: P. Dolog 17/10/03 24Architecture Fo
Page 26 and 27: P. Dolog 17/10/03 26Rule-Based Pers
Page 28: P. Dolog 17/10/03 28Thank you for y

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