Mapping Local Ontologies: Authentic Semantics for Learning Object Evaluation

Candidate: Jerry Li
Type: Master of Science (MSc), School of Interactive Arts and Technology
Date: July 20, 2006
Senior Supervisor: Dr. John Nesbit
Thesis: Download Thesis Document

Abstract

Currently, there are no feasible subject taxonomies for learning objects. Large and standardized library classification systems do not present subject descriptors that match varying local practices. When searching for learning objects, teachers, instructional designers and students prefer to use subject terms with which they are already familiar. This research describes the form and function of a mapping ontology that was created to translate between central subject ontology and local subject ontology. An implemented case shows how the mapping ontology can allow teachers working with the British Columbia Ministry of Education science curriculum to search, evaluate, and register learning objects catalogued in a repository (eLera) according to a modified form of Dewey Decimal Classification. Finally, an Information Retrieval evaluation shows “Subject search” has better performance in terms of precision level. A usability survey shows a strong user preference on “Subject search” over “Keyword search”.