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    Recent Update on 2006-05-01

    Welcome on AgentMatcher's Web-pages

    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:

  • User Interface
  • Translators
  • Similarity Engine
  • LOMGen
  • BioInformatics
  • Bartering


    AgentMatcher Documents:

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

    AgentMatcher Software:

    Demo

    AgentMatcher Applications:

    Teclantic