1. SEMANTIC AGENT SYSTEMSTowards a Reference Architecture for Semantic Agent Systems Applied to Symposium Planning Usman Ali Fredericton, NB 1

3. Organization

4. Virtual Organization

5. Organizational Designs

6. Agent Scenarios

7. Multi Agent System Frameworks

8. Conclusion2

9. Semantic Web Vision 3

10. Agent Scenario Consider a Web-enabled method for saving the doomed crew of The Perfect Storm. How could Web agents have helped? 4

11. Organization "An organization provides a framework for activity and interaction through the definition of roles, behavioural expectations and authority relationships (e.g. control)." 5

12. Virtual Organization "Virtual Organizations are a set of individuals and institutions that need to co-ordinate resources and services across institutional boundaries". 6

13. Linked Data 7

14. Software Personal Assistants Software personal assistants (SPA) are an active research area that one day might change the face of our human organizations. Overload Speed 8

15. Agent basedComputing Agent based computing merges two technologies, namely Artificial Intelligence (AI) and object-oriented distributed computing. 9

16. Importance of Agent oriented thinking As real-world applications are becoming significantly more complex than before. Agent-oriented techniques provide a natural way for modelling complex systems, by decomposing its problem space into autonomous agents and their interactions. 10

17. Agent Centered Versus Organisation CenteredApproach Classical New Approach 11

18. Organization Design Tools? 12

20. Multi Agent Frameworks Presentation Searchable 14

21. EMERALD 15

22. RULE RESPONDER 16

24. It contains rule sets that describe the policies and regulations of the RuleML Symposium.

25. Delegates incoming queries to the chair’s PAs.17

27. Each personal agent contains a rule-base FOAF-like profile.

28. It contains a FOAF*-like fact profile plusFOAF-extending rules to encode selected knowledge of its human owner.18

30. End users, as external agents, interact with the OA using a Web (HTTP) interface to the Symposium Planner.

31. Support for simultaneous external agents Many EAs can communicate with the OA. 19

32. Query Delegation Sponsoring Agents Metatopics Press Release . General Chair . . General Chair Challenge Program Chair . Demos . Program Chair . Challenge Chair Media Partners Challenge Chair . . . . . Publicity Chair Sponsors . . . . . . . . . . . . . Registration Publicity Chair Liaison Chair Visa Letter . . Liaison Chair . Responsible Submissions Accountable Properties: Presentations . . . 20

33. Rule Engines Prova: Prolog + Java OO jDREW: Object Oriented java Deductive Reasoning Engine for the Web 21

34. COMMUNICATION MIDDLEWARE 22

35. MULE ENTERPRISE SERVICE BUS 23

37. When two agents want to communicate, each others’ Reaction RuleML messages are sent through the ESB.

38. The ESB carries RuleML queries (requests), answers (results), and rule bases to/from agents.24

39. RuleResponder versus Emerald 25

40. Multi Agent System Interoperation 26

41. REFERENCE ARCHITECTURE OF SYMPOSIUMPLANNER 27

42. 28

43. Online Use Case Demo http://www.defeasible.org/ruleml2011ijcai/?q=node/25 http://de.dbpedia.org/redirects/ruleml/ACE2ReactionRuleML/index.jsp 29

44. 30

45. 31

46. Conclusion The SymposiumPlanner and many other applications like it, can truly provide the basis for gradual transformation of our workplace into an efficient and productive environment. 32