Title :
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
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;
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
DOI :
10.1109/TALE.2012.6360326
