PROACTIVE AUTONOMOUS RESOURCE ENRICHMENT FOR E-LEARNING

Steffen Mencke, Dmytro Rud, Fritz Zbrog, Reiner Dumke

2008

Abstract

Information mastering is the major use case for learners in e-learning systems. Therefore they need appropriate search and retrieval mechanisms. An approach to overcome potentially occuring problems, like e.g. high recall and low precision or the high result sensibility to the used vocabulary, is the presentation of preselected content. This paper presents an approach for the automatic ontology-based enrichment of e-learning content.

References

  1. Adomavicius, G. and Tuzhilin, A. (2005). Toward the next generation of recommender systems: A survey of the state-of-the-art and possible extensions. IEEE Transactions on Knowledge and Data Engineering, 17(6):734-749.
  2. Alani, H. and Brewster, C. (2005). Ontology Ranking Based on the Analysis of Concept Structures. In K-CAP 7805: Proceedings of the 3rd International Conference on Knowledge Capture, pages 51-58, New York, NY, USA. ACM Press.
  3. Drachsler, H., Hummel, H., van den Berg, B., Eshuis, J., Berlanga, A., Nadolski, R., Waterink, W., Boers, N., and Koper, R. (2007). Recommendation Strategies for e-Learning: Preliminary Effects of a Personal Recommender System for Lifelong Learners. URL: http://hdl.handle.net/1820/1010.
  4. Juneidi, S. J. and Vouros, G. A. (2005). Engineering an Elearning Application using the ARL Theory for Agent Oriented Software Engineering. In 2005 AAAI Fall Symposium, Arlington, Virginia, USA. MIT press.
  5. Princeton University (2006). WORDNET - A Lexical Database for the English Language. URL: http://wordnet.princeton.edu/.
  6. Tartir, S., Arpinar, I. B., Moore, M., Sheth, A. P., and Aleman-Meza, B. (2005). OntoQA: Metric-Based Ontology Quality Analysis. In Proceedings of IEEE ICDM 2005 Workshop on Knowledge Acquisition from Distributed, Autonomous, Semantically Heterogeneous Data and Knowledge Sources.
Download


Paper Citation


in Harvard Style

Mencke S., Rud D., Zbrog F. and Dumke R. (2008). PROACTIVE AUTONOMOUS RESOURCE ENRICHMENT FOR E-LEARNING . In Proceedings of the Fourth International Conference on Web Information Systems and Technologies - Volume 1: WEBIST, ISBN 978-989-8111-26-5, pages 464-467. DOI: 10.5220/0001527104640467


in Bibtex Style

@conference{webist08,
author={Steffen Mencke and Dmytro Rud and Fritz Zbrog and Reiner Dumke},
title={PROACTIVE AUTONOMOUS RESOURCE ENRICHMENT FOR E-LEARNING},
booktitle={Proceedings of the Fourth International Conference on Web Information Systems and Technologies - Volume 1: WEBIST,},
year={2008},
pages={464-467},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001527104640467},
isbn={978-989-8111-26-5},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Fourth International Conference on Web Information Systems and Technologies - Volume 1: WEBIST,
TI - PROACTIVE AUTONOMOUS RESOURCE ENRICHMENT FOR E-LEARNING
SN - 978-989-8111-26-5
AU - Mencke S.
AU - Rud D.
AU - Zbrog F.
AU - Dumke R.
PY - 2008
SP - 464
EP - 467
DO - 10.5220/0001527104640467