Artificial Intelligence Events
Amirah Ismail,A Metametadata Framework to Support Semantic Searching of Pedagogic Data, CS101
Amirah Ismail, A Metametadata Framework to Support Semantic Searching of Pedagogic Data, CS101
| When: | 11:00 - 12:00, Thu, 3 March '11 |
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| Abstract: |
A brief introduction to our Faculty of Information Science and Technology, University Kebangsaan Malaysia as well as our current research centres and research groups. The main focus of our research under the management of the Centre For Artificial Intelligence Technology (CAIT) are Artificial Intelligence, Data Mining, Pattern Recognition and Knowledge Technology. The center’s main purpose is the application of Artificial Intelligence techniques and methods to support various disciplines through research, teaching and consultancy. Our research is funded in part by grants (both internally (UKM) and externally (GUP, FRGS, ScienceFUND, IRPA)) and contract researches as well as local industry and other research institute. Our research group, the Knowledge Technology (KT) research group focused on research relating to machine processable semantics and the used of semantic technology in various advance applications. The domain these groups are currently working on is in digital library, e-learning and health informatics. Among the research conducted by this research group are semantic searches, ontology construction from text, semantic digital library, ontology based health information system and statictical Malay parser. My Phd Thesis entitled A Metametadata Framework to Support Semantic Searching of Pedagogic Data focuses on a novel method for semantic searching and retrieval of information about learning materials. Metametadata encapsulate metadata instances by using the properties and attributes provided by ontologies rather than describing learning objects. A novel metametadata taxonomy has been developed which provides the basis for a semantic search engine to extract, match and map queries to retrieve relevant results. The use of ontological views is a foundation for viewing the pedagogical content of metadata extracted from learning objects by using the pedagogical attributes from the metametadata taxonomy. My PhD research has literally support part of our current research group, KT research group as well as our centre’s aim and motivating our post grads to explore more into the semantic searches and algorithms within the e-learning environment. |