A learning object harvesting model and a sample application
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Abstract (EN)
The aim of this thesis is to enable harvesting of Learning Objects which are embedded in web pages. Two main challenges have been identified which are interoperability and semantics. For this purpose, several learning object metadata standards such as XML, XSLT, RDF, SPARQL etc. and several Learning Object Metadata standards have been investigated for compatibility with this harvesting approach, and then a light weight Application Profile and Microformat for Learning Objects has been proposed. Additionally a web service has been created which uses XSLT/GRDDL to extract Learning Objects in different web pages, and uses SQI target for retrieval facility with a more complex query language called SPARQL. Final work is a sample application; a search client employing created SQI service for search and retrieval of Learning Objects.
Author
Ahmet Soylu
Institution
How to Cite
Ahmet Soylu (Master Thesis). A learning object harvesting model and a sample application, 2008, Feyziye Schools Foundation Işık University.
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