A Match-Making System for Learners and Learning Objects

The AgentMatcher architecture has been deployed for the Canadian Learning Object Metadata (CanLOM) repository of the eduSource e-Learning project. Through AgentMatcher's indexing component, known as Learning Object Metadata Generator (LOMGen), metadata is extracted from HTML learning objects (LOs) for use in CanLOM. A subset of these metadata terms can be selected from a query interface, which also permits adjustment of weights that express user preferences. Web-based prefiltering is then performed over the CanLOM metadata kept in a relational database. Using an XSLT translator, the prefiltering result is transformed into an XML representation, called Weighted Object-Oriented (WOO) RuleML. Finally, this is compared to the WOO RuleML representation obtained from the query interface by AgentMatcher's Similarity Engine, which results in a ranked LO list for presentation to the user.


Access to the different components: