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:
A Match-Making System for Learners and Learning Objects (pdf,
Weighted Partonomy-Taxonomy Trees with Local Similarity Measures for Semantic Buyer-Seller Match-Making (pdf,
For more AgentMatcher documents, please click on the "Document and Software List" in the main Meau.