Intelligent Discovery for Learning Objects Using Semantic Web Technologies

Autor/in	Hsu, I-Ching
Titel	Intelligent Discovery for Learning Objects Using Semantic Web Technologies
Quelle	In: Educational Technology & Society, 15 (2012) 1, S.298-312 (15 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1436-4522
Schlagwörter	Electronic Learning; Metadata; Knowledge Representation; Artificial Intelligence; Integrated Learning Systems; Programming; Natural Language Processing; Internet; Computer System Design; Information Retrieval; Computer Software + Suchen Sie Ihr Suchwort? Metadaten; Wissensrepräsentation; Künstliche Intelligenz; Programmierung; Natürliche Sprache
Abstract	The concept of learning objects has been applied in the e-learning field to promote the accessibility, reusability, and interoperability of learning content. Learning Object Metadata (LOM) was developed to achieve these goals by describing learning objects in order to provide meaningful metadata. Unfortunately, the conventional LOM lacks the computer interpretability needed to support knowledge representation when searching for finding relevant learning objects. This study addresses this issue by defining a Multi-layered Semantic LOM Framework (MSLF) for integrating Semantic Web technologies into LOM. The proposed MSLF is used to develop LOFinder, an intelligent LOM shell that provides an alternative approach to enhancing the knowledge representations. To test its feasibility, this study implemented a java-based prototype of LOFinder that enables intelligent discovery of learning objects. (Contains 4 tables and 10 figures.) (As Provided).
Anmerkungen	International Forum of Educational Technology & Society. Athabasca University, School of Computing & Information Systems, 1 University Drive, Athabasca, AB T9S 3A3, Canada. Tel: 780-675-6812; Fax: 780-675-6973; Web site: http://www.ifets.info
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10