An Ontological Approach for Semantic-Aware Learning Object Retrieval
Author(s) -
Ming-Che Lee,
Kun Hua Tsai,
Tzone-I Wang
Publication year - 2006
Publication title -
sixth ieee international conference on advanced learning technologies (icalt'06)
Language(s) - English
DOI - 10.1109/icalt.2006.69
SCORM LOM (sharable courseware object reference model learning object metadata) , enables the indexing, location, management, and searching of learning objects in a learning object repository by extended sharing and searching features. However, LOM has a deficiency in semantic-awareness capability. In most information retrieval systems, users' cognitive ability on what they need is a basic system assumption. However, in e-learning systems, users may have no idea on what they want and what the learning objects' metadata is. This paper presents an ontological approach for semantic-aware learning object retrieval. This approach is generic enough to be embedded to other LOM-based search mechanisms to achieve semantic-aware learning object retrieval
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom