Soylu, Ahmet; Kuru, Selahattin ; Wild, Fridolin and Mödritscher, Felix
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In order to support interoperability of learning tools and reusability of resources, this paper introduces a framework for harvesting learning objects from web-based content. Therefore, commonly-known web technologies are examined with respect to their suitability for harvesting embedded meta-data. Then, a lightweight application profile and a microformat for learning objects are proposed based on well-known learning object metadata standards. Additionally, we describe a web service which utilizes XSL transformation (GRDDL) to extract learning objects from different web pages, and provide a SQI target as a retrieval facility using a more complex query language called SPARQL. Finally, we outline the applicability of our framework on the basis of a search client employing the new SQI service for searching and retrieving learning objects.
|Item Type:||Conference Item|
|Copyright Holders:||2008 The Authors|
|Keywords:||e-learning; learning object; metadata; semantic web; interoperability; SQI; RDF; SPARQL; GRDDL; microformats|
|Academic Unit/Department:||Knowledge Media Institute|
|Interdisciplinary Research Centre:||Centre for Research in Computing (CRC)|
|Depositing User:||Kay Dave|
|Date Deposited:||09 Dec 2010 11:54|
|Last Modified:||22 Mar 2016 20:24|
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