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