Towards semantic learning object metadata: mapping standard metadata specifications to ontologies

Author

Han, Qiyan ; Gao, Feng

Author_Institution

Syst. Eng. Inst., Xi´´an Jiaotong Univ., Xi´´an, China

fYear

2012

fDate

20-23 Aug. 2012

Abstract

This paper is devoted to some preparations for ontology-based semantic learning object metadata, including discovering the mappings between metadata elements and ontologies, and the development of relevant ontologies, i.e. Context Ontology and Content Ontology. The result shows that most of the standard metadata elements are compliant with ontology primitives, and it is feasible to enhance the semantic expressive capability and machine understandability of current learning object metadata through ontological metadata vocabularies.

Keywords

computer aided instruction; meta data; ontologies (artificial intelligence); vocabulary; content ontology; context ontology; e-learning applications; machine understandability; mapping discovery; metadata elements; ontological metadata vocabularies; ontologies; ontology primitives; semantic expressive capability; semantic learning object metadata; standard metadata specification mapping; Context; Electronic learning; Learning systems; Ontologies; Semantics; Standards; Vocabulary; e-learning; learning object; metadata; ontology; semantic web;

fLanguage

English

Publisher

ieee

Conference_Titel

Teaching, Assessment and Learning for Engineering (TALE), 2012 IEEE International Conference on

Conference_Location

Hong Kong

Print_ISBN

978-1-4673-2417-5

Electronic_ISBN

978-1-4673-2416-8

Type

conf

DOI

10.1109/TALE.2012.6360326

Filename

6360326