DocumentCode
1701690
Title
RCBA: An Efficient Annotation Tool for Community E-Learning
Author
Lu, Feng ; Li, Xin
Author_Institution
Coll. of Comput. Sci., Yangtze Univ., Jingzhou, China
fYear
2011
Firstpage
353
Lastpage
356
Abstract
The topic of webpage content annotation has been an important research area in the field of human computer interaction. Annotation tools enable "value-adding" info to digital resources, by adding additional data in the form of provenances, understandings, references, comments and other types of remarks. They facilitate learners\´ and reviewers\´ understanding and remembering of information accessible over the Web, and make the collaborative learning easier. This paper describes an efficient annotation tool RCBA (Role Control Based Annotator), that we have developed which uses RBAC (Role Based Access Control) theory to identify and authenticate users and restrict their access to annotations stored on the database server, and enhance the knowledge sharing and reuse in communities\´ E-learning.
Keywords
authorisation; computer aided instruction; content management; human computer interaction; information retrieval; relational databases; RBAC; RCBA; Web page content annotation tools; collaborative learning; database server; digital resources; e-learning; human computer interaction; knowledge sharing; role based access control theory; role control based annotator; user authentication; user identification; Browsers; Communities; Databases; Electronic learning; HTML; Servers; User interfaces; RCBA; annotation; relational database; role control;
fLanguage
English
Publisher
ieee
Conference_Titel
Genetic and Evolutionary Computing (ICGEC), 2011 Fifth International Conference on
Conference_Location
Xiamen
Print_ISBN
978-1-4577-0817-6
Electronic_ISBN
978-0-7695-4449-6
Type
conf
DOI
10.1109/ICGEC.2011.88
Filename
6042799
Link To Document