A Structured Model Metametadata Technique to Enhance Semantic Searching in Metadata Repository
Ismail, A., Joy, M.S., Sinclair, J.E. and Hamzah, M.I. (2010) A Structured Model Metametadata Technique to Enhance Semantic Searching in Metadata Repository. In: 4th International Conference on Knowledge Generation, Communication and Management (KGCM 2010), 29 June - 2 July 2010, Orlando, Florida.
- Accepted Version
This paper discusses on a novel technique for semantic searching and retrieval of information about learning materials. A novel structured metametadata model has been created to provide the foundation for a semantic search engine to extract, match and map queries to retrieve relevant results. Metametadata encapsulate metadata instances by using the properties and attributes provided by ontologies rather than describing learning objects. The use of ontological views assists the pedagogical content of metadata extracted from learning objects by using the control vocabularies as identified from the metametadata taxonomy. The use of metametadata (based on the metametadata taxonomy) supported by the ontologies have contributed towards a novel semantic searching mechanism. This research has presented a metametadata model for identifying semantics and describing learning objects in finer-grain detail that allows for intelligent and smart retrieval by automated search and retrieval software.
|Item Type:||Conference or Workshop Item (Paper)|
|Uncontrolled Keywords:||ias edtech educational technology semantic web metametadata|
|Subjects:||L Education > LB Theory and practice of education > LB2300 Higher Education
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
|Divisions:||Faculty of Science > Computer Science|
|Depositing User:||Dr Mike Joy|
|Date Deposited:||17 Jul 2011 14:17|
|Last Modified:||26 Jul 2011 11:15|
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