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BEGIN:VEVENT
DTSTAMP:20260626T101238Z
DTSTART;VALUE=DATE-TIME:20110303T110000
DTEND;VALUE=DATE-TIME:20110303T120000
SUMMARY:Amirah Ismail\,A Metametadata Framework to Support Semantic Searc
 hing of Pedagogic Data\, CS101
TZID:Europe/London
UID:20110303-094d43ed2e342ebd012e6cc559230f20@warwick.ac.uk
CREATED:20110228T145636Z
DESCRIPTION:Amirah Ismail\, A Metametadata Framework to Support Semantic 
 Searching of Pedagogic Data\, CS101 When: 11:00 - 12:00\, Thu\, 3 March 
 '11 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 und
 er the management of the Centre For Artificial Intelligence Technology (
 CAIT) are Artificial Intelligence\, Data Mining\, Pattern Recognition an
 d Knowledge Technology. The center’s main purpose is the application of 
 Artificial Intelligence techniques and methods to support various discip
 lines through research\, teaching and consultancy. Our research is funde
 d in part by grants (both internally (UKM) and externally (GUP\, FRGS\, 
 ScienceFUND\, IRPA)) and contract researches as well as local industry a
 nd other research institute. Our research group\, the Knowledge Technolo
 gy (KT) research group focused on research relating to machine processab
 le semantics and the used of semantic technology in various advance appl
 ications. The domain these groups are currently working on is in digital
  library\, e-learning and health informatics. Among the research conduct
 ed 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 Metametad
 ata Framework to Support Semantic Searching of Pedagogic Data focuses on
  a novel method for semantic searching and retrieval of information abou
 t learning materials. Metametadata encapsulate metadata instances by usi
 ng the properties and attributes provided by ontologies rather than desc
 ribing learning objects. A novel metametadata taxonomy has been develope
 d which provides the basis for a semantic search engine to extract\, mat
 ch and map queries to retrieve relevant results. The use of ontological 
 views is a foundation for viewing the pedagogical content of metadata ex
 tracted from learning objects by using the pedagogical attributes from t
 he metametadata taxonomy. My PhD research has literally support part of 
 our current research group\, KT research group as well as our centre’s a
 im and motivating our post grads to explore more into the semantic searc
 hes and algorithms within the e-learning environment.
LOCATION:
CATEGORIES:
LAST-MODIFIED:20110228T145636Z
ORGANIZER;CN=Alexandra Cristea:
END:VEVENT
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