Paper Info
Title
Hybrid System for Generating Learning Object Metadata
Abstract
Generating LOM for learning material is a complex and tedious task to be manually completed. Therefore, the current trend is to automate this process. However, there are several important issues restricting this approach. First, all the necessary information for generating metadata values is not always available. Second, some LOM attributes are difficult to generate in a rational and objective manner. In order to cope with these issues, this article suggests considering human intervention in the LOM generation process supported by automatic processes: a hybrid system in which both human and computer collaborate for instantiating LOM attributes is described. In this work, a tool implementing this proposal is implemented as a feature of LessonMapper2, which is a graphical editor designed to author lessons as graphs of learning resources.
Year
DOI
Venue
2006
10.1109/ICALT.2006.184
ICALT
Keywords
Field
DocType
generating learning object metadata,important issue,hybrid system,instantiating lom,graphical interface,tedious task,current trend,generating lom,lom-based graph,search engines,collaboration,graphical user interfaces,meta data
Metadata,Graph,Computer aided instruction,Computer science,Human–computer interaction,Graphical user interface,Content based retrieval,Multimedia,Hybrid system,Learning object metadata
Conference
Volume
Issue
ISSN
2
3
1796-203X
ISBN
Citations 
PageRank 
0-7695-2632-2
6
0.56
References 
Authors
5
2
Name
Order
Citations
PageRank
Olivier Motelet110714.37
Nelson Baloian227146.73