1. Knowledge based Learning Experience Management on the Semantic Web Feng (Barry) TAO, Hugh Davis Learning Society Lab University of Southampton

2. Institutional Initiatives Learning Society Lab in ECS, U. Southampton –Technology enhanced Learning –Interaction with knowledge and semantics –Virtual community and social systems ELeGI – European Learning Grid Infrastructure –Service Oriented Architecture –Life long collaborative learning on the Grid –Ontology support –Semantic Management Service

3. Scope Process/Methodologies – Knowledge Life Cycle in managing LE –Identify conceptualization through ontology KA within the domain Ontological engineering –semantically enrich data using ontology Automatic annotation Manual annotation wizard –manage knowledge through reusing semantically enriched data Query RDF triples for knowledge Inference and Reasoning Architecture –Distributed (over more than one nodes) –Service Oriented –User orientation at different granularities (Web service, Portlet service, portal) –Ontology Driven Technologies –Semantic Web –Web Service –J2EE, JSF and portlets Domains –E-Science (Engineering design of optimization) –Learning (Learning through community knowledge management and sharing)

4. Teacher led v.s. Learner centered Learning Teacher Led –Lecture/Assignment/Assessment –Pedagogical Learning design –Learning sequence Learner centered (also called PBL) –Project/Seminar/Conference –Learning experience –Establish network –Building research profile

5. Learning through community knowledge management and sharing Learning Experiences –role – event – environment –ontology model of key entities involved Knowledge population through semantic annotation of learning activities –Distributed collection of knowledge –Continuous collection of knowledge Guiding juniors on their learning path –What are the strongest expertise? –What are the most attended events on a particular subject? Knowledge meta data for locating resource

6. An ontological knowledge model Concepts Attributes Direct attributes inferred attributes Direct facts [Learner1 participate WP1] [WP1 deliver Document1] [Document1 keyword Topic1] Rules [L1 produce D1] and [D1 topic T1]  [L1 expertise T1] [L1 produce D1] and [L2 produce D1]  [L1 know L2] Inferred facts [L1 expertise T1], [L1 know L2]

7. Building ontology in protégé

8. Populating the knowledge model Semantic annotation –Create instance –Fulfill ontology definition –Manually or automatically Rules –Define inferred attributes using direct attributes –Support inference for dynamic facts –Reduce redundant and inconsistent facts

9. Semantic web enriched data Ontology –Explicit definitions Concepts Relations –Richer constraints in OWL Cardinality Semantic Annotation –Create instance representing entities in the application data –Fulfill definition/constraints through controlled annotation –Store as RDF triple statements

10. RDF Triples of the Semantic Annotation Subject predicate object

11. Technical Architecture Business Logic of the semantic management functions Based on Jena RDF API Tomcat Axis Web service Interface described in WSDL Oriented to service consumers J2EE JSF/Portlet Web service proxy (reusing services) Oriented to customizable GUI designers Delivered as WAR files Portal (reusing portlets) End users oriented 3 rd party applications

12. Semantic Management Services Tomcat Axis web service Managing ontology Semantically annotating resources Semantic query of the annotated resource

13. Sequence Diagram of using the semantic management services

14. Portlet development Business Logic of the semantic management functions Based on Jena RDF API Tomcat Axis Web service Interface described in WSDL Oriented to service consumers J2EE JSF/Portlet Web service proxy (reusing services) Oriented to customizable GUI designers Delivered as WAR files Portal (reusing portlets) End users oriented 3 rd party applications

16. Aggregating portlets for customizable Portal Business Logic of the semantic management functions Based on Jena RDF API Tomcat Axis Web service Interface described in WSDL Oriented to service consumers J2EE JSF/Portlet Web service proxy (reusing services) Oriented to customizable GUI designers Delivered as WAR files Portal (reusing portlets) End users oriented 3 rd party applications

20. Summary Life long learning and collaborative building and managing of the learning experiences –Ontology driven –Learner centered The concept of Learning Experience modeling and its sharing on the semantic web SOA for scalability and expandability –Semantic management web service –Portlet service