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Semantic agent systems
- 1. SEMANTIC AGENT SYSTEMSTowards a Reference Architecture for Semantic Agent Systems Applied to Symposium Planning Usman Ali Fredericton, NB 1
- 3. Organization
- 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
- 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
- 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
- 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
Notas del editor
- Consider the following example (a web-enabled method for saving the doomed crew of The Perfect Storm, Junger, 1997). In this story, now a major motion picture, a crew of fishermen is out at sea when weather conditions conspire to create a storm of epic proportions. For various reasons, the crew is unable to get a detailed weather map, and thus miss the fact that the storm is developing right in their way. Instead of avoiding it, they end up at its center with tragic results. How could web agents have helped?As the Captain of the ship goes to call land, a wave hits and his cell-phone is swept overboard. Luckily, he is a savvy web user, and has brought his wireless web device with him as welChecking the weather forecast from a standard weather site, he determines that a storm is coming, but he does not find enough detail for his planning needs. He goes to an agent-enabled geographical server site and invokes the query "Get me a satellite photo of this region of the Atlantic (and draws a box on an appropriate map)." The system comes back a little later with the message displayed in Figure 2. Options range from a picture available on the web (possibly out of date) to other services (that may need special resources) and even future options currently being announced. The captain now chooses an option depending on what resources he has available and what criterion he is willing to accept. Recognizing the gravity of his situation, he invokes the Coast Guard option, and an overflight is scheduled for his GPS location. Seeing the emerging weather, the Coast Guard arranges an emergency pickup at sea, and the sailors are able to go on to fish again some other day.