Why automatic authoring Make authoring task easier Manual annotation is bottleneck By integrating authoring environment into semantic desktop
Concept maps and lessons are hierarchies: MOT hierarchy structure
Semantic Desktop Desktop where everything is stored with extra metadata We uses RDF as storage format Example RDF (also has an XML representation) :
Adding Resources MOT goal/domain maps are hierarchies with tree structure, siblings are concepts at the same level The Semantic Desktop can be searched for resources. They are ranked by 2 formulae
Ranking Concept oriented Article Oriented where: rank(a,c) is the rank of article a with respect to the current domain concept c; k(c) is the set of keywords belonging to the current domain concept c; k(a) is the set of keywords belonging to the current article a; |S| = the cardinality of the set S, for a given set S.
Selection of ranking method - snapshot
Allow duplicates among siblings We call concepts in MOT at the same depth in the hierarchy Siblings The author has to make a choice. Adding to all siblings can mean students get the link multiple times Choosing one of the siblings can mean students dont always get the link when relevant.
Selection of duplicates/none snapshot
Add meta-data as separate concepts The retrieved resources might have attributes themselves If resources have further attributes, these can be added as domain attributes in MOT The resource can also be made into a domain concept with its own separate domain attributes
Add metadata as attributes
Add metadata as Separate concepts
Separate concepts/ attributes snapshot
Compute resource keywords as set The number of times a keyword occurs might indicate the relevance of the keyword. The ranking formulae can be computed on sets of keywords or multisets.