The Ariadne infrastructure for managing and storing metadata

Stefaan Ternier; Katrien Verbert; Gonzalo Parra; Bram Vandeputte; Joris Klerkx; Erik Duval; Vicente Ordóñez; Xavier Ochoa

doi:10.1109/MIC.2009.90

The Ariadne infrastructure for managing and storing metadata

Stefaan Ternier, Katrien Verbert, Gonzalo Parra, Bram Vandeputte, Joris Klerkx, Erik Duval, Vicente Ordóñez, Xavier Ochoa

Administration, Leadership & Technology

Research output: Contribution to journal › Article › peer-review

Abstract

Reusing digital resources for learning has been a goal for several decades, driven by potential time savings and quality enhancements. Although the rapid development of Web-based learning has increased opportunities for reuse significantly, managing learning objects and making them accessible still entails many challenges. This article presents and analyzes the standards-based Ariadne infrastructure for managing learning objects in an open and scalable architecture. The architecture supports the integration of learning objects in multiple, distributed repository networks. The authors capture lessons learned in four architectural patterns.

Original language	English (US)
Pages (from-to)	18-25
Number of pages	8
Journal	IEEE Internet Computing
Volume	13
Issue number	4
DOIs	https://doi.org/10.1109/MIC.2009.90
State	Published - 2009

Keywords

Communities
Data mining
Electronic learning
Emerging E-Learning Technologies
Engines
Internet
Metasearch
Search engines
Standards
e-learning
federated search
harvesting
learning object metadata
learning object repositories

ASJC Scopus subject areas

Computer Networks and Communications

Access to Document

10.1109/MIC.2009.90

Cite this

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title = "The Ariadne infrastructure for managing and storing metadata",

abstract = "Reusing digital resources for learning has been a goal for several decades, driven by potential time savings and quality enhancements. Although the rapid development of Web-based learning has increased opportunities for reuse significantly, managing learning objects and making them accessible still entails many challenges. This article presents and analyzes the standards-based Ariadne infrastructure for managing learning objects in an open and scalable architecture. The architecture supports the integration of learning objects in multiple, distributed repository networks. The authors capture lessons learned in four architectural patterns.",

keywords = "Communities, Data mining, Electronic learning, Emerging E-Learning Technologies, Engines, Internet, Metasearch, Search engines, Standards, e-learning, federated search, harvesting, learning object metadata, learning object repositories",

author = "Stefaan Ternier and Katrien Verbert and Gonzalo Parra and Bram Vandeputte and Joris Klerkx and Erik Duval and Vicente Ord{\'o}{\~n}ez and Xavier Ochoa",

note = "Funding Information: Part of this work has been funded by the European Commission in the eContent+ program ECP-2005-EDU-038098 (MACE) and ECP-2005-EDU-038103 (MELT).",

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doi = "10.1109/MIC.2009.90",

language = "English (US)",

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AU - Ternier, Stefaan

AU - Verbert, Katrien

AU - Parra, Gonzalo

AU - Vandeputte, Bram

AU - Klerkx, Joris

AU - Duval, Erik

AU - Ordóñez, Vicente

AU - Ochoa, Xavier

N1 - Funding Information: Part of this work has been funded by the European Commission in the eContent+ program ECP-2005-EDU-038098 (MACE) and ECP-2005-EDU-038103 (MELT).

PY - 2009

Y1 - 2009

N2 - Reusing digital resources for learning has been a goal for several decades, driven by potential time savings and quality enhancements. Although the rapid development of Web-based learning has increased opportunities for reuse significantly, managing learning objects and making them accessible still entails many challenges. This article presents and analyzes the standards-based Ariadne infrastructure for managing learning objects in an open and scalable architecture. The architecture supports the integration of learning objects in multiple, distributed repository networks. The authors capture lessons learned in four architectural patterns.

AB - Reusing digital resources for learning has been a goal for several decades, driven by potential time savings and quality enhancements. Although the rapid development of Web-based learning has increased opportunities for reuse significantly, managing learning objects and making them accessible still entails many challenges. This article presents and analyzes the standards-based Ariadne infrastructure for managing learning objects in an open and scalable architecture. The architecture supports the integration of learning objects in multiple, distributed repository networks. The authors capture lessons learned in four architectural patterns.

KW - Communities

KW - Data mining

KW - Electronic learning

KW - Emerging E-Learning Technologies

KW - Engines

KW - Internet

KW - Metasearch

KW - Search engines

KW - Standards

KW - e-learning

KW - federated search

KW - harvesting

KW - learning object metadata

KW - learning object repositories

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JF - IEEE Internet Computing

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The Ariadne infrastructure for managing and storing metadata

Abstract

Keywords

ASJC Scopus subject areas

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