Web Intelligence, IEEE / WIC / ACM International Conference on (2006)
Hong Kong, China
Dec. 18, 2006 to Dec. 22, 2006
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/WI.2006.56
Javed I. Khan , Kent State University, USA
Yongbin Ma , Kent State University, USA
Manas Hardas , Kent State University, USA
This paper describes an approach that can facilitate composition of course materials by machine assistance over the web using semantic web technology. A Semantic Topic Graph (STG) that encodes the conceptual knowledge metadata space is used as the front-end to the course resources. STG provides ontologies and properties of the concepts space and course materials are then connected with respect to their relation to this concept space. A course composer system is demonstrated which can intelligently compose various course materials based on pedagogical consideration. Some interesting comparisons of human guided machine-composed courses with real human composed courses in use in US graduate programs are shown.
Semantic Topic Graph, RDF, Ontology, and Composition Algorithm
M. Hardas, J. I. Khan and Y. Ma, "Course Composition Based on Semantic Topical Dependency," 2006 IEEE/WIC/ACM International Conference on Web Intelligence(WI), Hong Kong, 2006, pp. 502-505.