DocumentCode :
2828219
Title :
Pinetree: A Learning Content Repository Based on Semantic Web Technologies
Author :
Svensson, Martin ; Pettersson, Oskar ; Persson, Magnus
Author_Institution :
Center for Learning & Knowledge Technol. (CeLeKT), Vaxjo Univ., Vaxjo, Sweden
fYear :
2009
fDate :
15-17 July 2009
Firstpage :
522
Lastpage :
526
Abstract :
During the last few years, mobile devices such as cellular phones and PDAs have become sophisticated tools for creating digital content. Moreover, their built-in or attachable sensor capabilities make it possible to derive metadata that denote the context of the user. The challenge of annotating digital content with contextual metadata is a central part of our current research efforts and the main rationale for the development of Pinetree. Pinetree is a learning content repository based on semantic Web technologies. The aim of the article is to explore the utility of using RDF (resource description framework) as a data model in a learning content repository. We describe the different components of Pinetree and illustrate its use in a specific learning scenario. Our initial results indicate that a learning content repository based on RDF can be a flexible solution for digital content storage in terms of metadata expressivity, interoperability and data distribution.
Keywords :
computer aided instruction; meta data; open systems; semantic Web; PDA; Pinetree; cellular phones; data distribution; digital content storage; interoperability; learning content repository; metadata expressivity; mobile devices; resource description framework; semantic Web; Cellular phones; Data models; Memory; Ontologies; Personal digital assistants; Relational databases; Resource description framework; Semantic Web; Content repository; Semantic Web; metadata; metadata annotation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Learning Technologies, 2009. ICALT 2009. Ninth IEEE International Conference on
Conference_Location :
Riga
Print_ISBN :
978-0-7695-3711-5
Electronic_ISBN :
978-0-7695-3711-5
Type :
conf
DOI :
10.1109/ICALT.2009.183
Filename :
5194293
Link To Document :
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