loading
Documents

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Shang-Juh Kao and I-Ching Hsu

Affiliation: National Chung-Hsing University, Taiwan

ISBN: 978-972-8865-44-3

Keyword(s): LOM, Semantic Web, SCORM, OWL.

Related Ontology Subjects/Areas/Topics: Cloud Computing ; Computer-Supported Education ; e-Learning ; e-Learning and e-Teaching ; Enterprise Information Systems ; Semantic Web Technologies ; Services Science ; Software Agents and Internet Computing

Abstract: One of important functions of Learning Object Metadata (LOM) is to associate XML-based metadata with learning objects. The inherent problem of LOM is that it’s XML specified, which emphasizes syntax and format rather than semantic and knowledge representation. Hence, it lacks the semantic metadata to provide reasoning and inference functions. These functions are necessary for the computer-interpretable descriptions that are critical in the reusability and interoperability of the distributed learning objects. This paper aims at addressing this shortage, and proposes a multi-layered semantic framework to allow the reasoning and inference capabilities to be added to the conventional LOM. To illustrate how this framework work, we developed a Semantic-based Learning Objects Annotations Repository (SLOAR) that offers three different approaches to locate relevant learning objects for an e-learning application - LOM-based metadata, ontology-based reasoning, and rule-based inference.

PDF ImageFull Text

Download
CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 34.204.194.190

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Kao S.; Hsu I. and (2006). INTEGRATING SEMANTIC WEB REASONING INTO LEARNING OBJECT METADATA.In Proceedings of the Eighth International Conference on Enterprise Information Systems - Volume 4: ICEIS, ISBN 978-972-8865-44-3, pages 181-184. DOI: 10.5220/0002445101810184

@conference{iceis06,
author={Shang{-}Juh Kao and I{-}Ching Hsu},
title={INTEGRATING SEMANTIC WEB REASONING INTO LEARNING OBJECT METADATA},
booktitle={Proceedings of the Eighth International Conference on Enterprise Information Systems - Volume 4: ICEIS,},
year={2006},
pages={181-184},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002445101810184},
isbn={978-972-8865-44-3},
}

TY - CONF

JO - Proceedings of the Eighth International Conference on Enterprise Information Systems - Volume 4: ICEIS,
TI - INTEGRATING SEMANTIC WEB REASONING INTO LEARNING OBJECT METADATA
SN - 978-972-8865-44-3
AU - Kao, S.
AU - Hsu, I.
PY - 2006
SP - 181
EP - 184
DO - 10.5220/0002445101810184

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.