The Open UniversitySkip to content

E-Learning and microformats: a learning object harvesting model and a sample application

Soylu, Ahmet; Kuru, Selahattin ; Wild, Fridolin and Mödritscher, Felix (2008). E-Learning and microformats: a learning object harvesting model and a sample application. In: 1st International Workshop on Mashup Personal Learning Environments (MUPPLE08) at The 3rd European Conference on Technology Enhanced Learning (EC-TEL 2008), 17 Sep 2008, Maastricht, The Netherlands.

Full text available as:
PDF (Version of Record) - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
Download (165Kb)
Google Scholar: Look up in Google Scholar


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
ISSN: 1613-0073
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)
Item ID: 25240
Depositing User: Kay Dave
Date Deposited: 09 Dec 2010 11:54
Last Modified: 22 Mar 2016 20:24
Share this page:

Actions (login may be required)

Policies | Disclaimer

© The Open University   + 44 (0)870 333 4340