In this paper, we present an approach for interoperable metadata, using application profiles. As a case study, we map the instances of the ARIADNE application profile into instances that conform to the IEEE Learning Object Metadata (LOM) standard. We use XSLT to transform ARIADNE XML instances into IEEE LOM Instances. The major contribution of this paper is that it explains how mapping and transforming metadata between different metadata specifications is not always a simple one-to-one process. We present the different classifications of metadata application profiles and discuss issues related to developing such profiles. Also we present and analyze the different kinds of complications involved in mapping profiles into standards.
%0 Journal Article
%1 najjaretalinteroperability04
%A Najjar, Jehad
%A Ternier, Stefaan
%A Duval, Erik
%D 2004
%J IADIS International Journal of WWW/Internet
%K prolearn
%T Interoperability of Learning Object Repositories: Complications and Guidelines
%U http://www.cs.kuleuven.ac.be/~najjar/papers/IadiswwwJournal.pdf
%X In this paper, we present an approach for interoperable metadata, using application profiles. As a case study, we map the instances of the ARIADNE application profile into instances that conform to the IEEE Learning Object Metadata (LOM) standard. We use XSLT to transform ARIADNE XML instances into IEEE LOM Instances. The major contribution of this paper is that it explains how mapping and transforming metadata between different metadata specifications is not always a simple one-to-one process. We present the different classifications of metadata application profiles and discuss issues related to developing such profiles. Also we present and analyze the different kinds of complications involved in mapping profiles into standards.
@article{najjaretalinteroperability04,
abstract = {In this paper, we present an approach for interoperable metadata, using application profiles. As a case study, we map the instances of the ARIADNE application profile into instances that conform to the IEEE Learning Object Metadata (LOM) standard. We use XSLT to transform ARIADNE XML instances into IEEE LOM Instances. The major contribution of this paper is that it explains how mapping and transforming metadata between different metadata specifications is not always a simple one-to-one process. We present the different classifications of metadata application profiles and discuss issues related to developing such profiles. Also we present and analyze the different kinds of complications involved in mapping profiles into standards.},
added-at = {2006-05-31T17:38:26.000+0200},
author = {Najjar, Jehad and Ternier, Stefaan and Duval, Erik},
biburl = {https://www.bibsonomy.org/bibtex/2da725fce73174328e74c926bcef94605/prolearn},
description = {Prolearn Publication},
interhash = {84af6e7c54d3836fd56aef0e9f72bb92},
intrahash = {da725fce73174328e74c926bcef94605},
issn = {1645-7641},
journal = {IADIS International Journal of WWW/Internet},
keywords = {prolearn},
timestamp = {2006-05-31T17:38:26.000+0200},
title = {Interoperability of Learning Object Repositories: Complications and Guidelines},
url = {http://www.cs.kuleuven.ac.be/~najjar/papers/IadiswwwJournal.pdf},
year = 2004
}