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JISC: Middleware for Distributed Cognition. Project Team: Colin Tatham – technical lead David Gilks – database programmer Howard Noble – project manager Jeff Kahn – VUE project manager Katherine Ferguson – Cocoon developer Matthew Dovey – UDDI and SRW consultant
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JISC: Middleware for Distributed Cognition Project Team: Colin Tatham – technical lead David Gilks – database programmer Howard Noble – project manager Jeff Kahn – VUE project manager Katherine Ferguson – Cocoon developer Matthew Dovey – UDDI and SRW consultant Robert Gilks – Interface developer Tom Coppeto – VUE developer University of Oxford – Learning Technology Group
Mapping to ELF Learning Domain Services Sequencing Activity management Course management Resource list Assessment Grading Competency ePortfolio Learning flow Activity author Marking Curriculum Course validation Quality assurance Personal development Reporting Tracking
Mapping to ELF Common Services Messaging Authentication Authorisation Resolver DRM Metadata service registry Logging Identifier Filing Workflow Search Service registry Mapping Presence Rules Harvesting E-mail management Scheduling Content management Packaging Archiving Rating / Annotation Terminology User preferences Chat Federated search Group Person Role Member Calendaring Metadata management Format conversion Alert Whiteboard Forum AV conferencing Context
Mapping to domain: repositories • Distributed/ federated search • Ability to cross search multiple repositories with Z39.50 and SRW protocols • Discover • Ability to find the appropriate copy of a resource through OpenURL mechanism • Resource list • Ability to store resource metadata (reference) compliant with the IMS RLI data specification
System interoperability: MDC project in context of repositories domain
MDC interface: http://jafer2.oucs.ox.ac.uk:8080/MDC/search.jsp
Sharing resource lists – store in repositoriestowards the semantic web • Repositories holding resource lists can be targets for distributed searches • Repositories storing mind maps can be interrogated to give learners indication of how articles are related
Discussion Framework for optimising recall and precision.
Cooperative Association for Internet Data Analysis (CAIDA): http://www.caida.org/home/index.xml Taken from CAIDA Walrus project: http://www.caida.org/tools/visualization/walrus/
The information landscape • Search and discover • Open searching vs. finding the appropriate copy based on learner’s subscription profile • Search metadata globally • Discover appropriate services that pertain to the required resource (full text, ability to edit etc) • Distributed search of OAI repositories • Optimising recall and precision: • Recall illustrates the confidence that a search returns all the information you are interested in • Precision is the confidence that the results of your search are relevant • Centralised vs. distributed repositories • Bandwidth usage • Searching across heterogeneous metadata • Functions above metadata e.g. annotation, ratings, related resources, • Ownership and authentication • Additional components: • Caching • De-duplication • Matching algorithms based on search criteria • Parsing to improve metadata presentation • Social solutions • Interconnected resource lists/ mind maps • Building recommendation into the core of search practice • Usability • Use language of the learner not database or cataloguing • To search as part of a network of learners not alone
Links: • Final report (draft): http://users.ox.ac.uk/~howardn/Publish/ • Interface: http://jafer2.oucs.ox.ac.uk:8080/MDC/search.jsp