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Ambient  ntelligence   in Adaptive Online Experiments Violeta Damjanovic PhD Thesis Defense : November 18, 2008  PhD Supervisor : Prof. Dr. Vladan Devedzic FON, University of Belgrade, Serbia
Outline of the thesis ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Part 1: Statement of the problem ,[object Object],[object Object],[object Object],Thesis’ Technology Lotus   ,[object Object]
Ambient Intelligence ,[object Object],[object Object],[object Object],Part 1: Statement of the Problem ,[object Object],[object Object],[object Object],http://sandbox.parc.com/weiser/
Ambient Intelligence ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Part 1: Statement of the Problem
Adaptation ,[object Object],[object Object],[object Object],[object Object],Part 1: Statement of the Problem Adaptable system Adaptive system User-driven personalization System-driven personalization Adaptability Adaptation
Online Experiments ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Part 1: Statement of the Problem
Online Experiments ,[object Object],[object Object],[object Object],[object Object],Part 1: Statement of the Problem
[object Object],[object Object],[object Object],[object Object],Part 2 : Research hypothesis
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Research hypothesis Part 2: Research hypothesis
Part 3: Related work ,[object Object],[object Object],[object Object],[object Object],[object Object]
P-Classic ,[object Object],[object Object],[object Object],[object Object],Part 3: Related work PTDL ,[object Object]
[object Object],BayesOWL Part 3: Related work P-SHOQ(D) ,[object Object]
Part 4 : Purpose of the study ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
M1: Probabilistic Asynchronous Process Algebra Part 4: Purpose of the study ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],Part 4: Purpose of the study M1: Probabilistic Asynchronous Process Algebra
The operational semantics of the probabilistic asynchronous algebra (Herescu, 2002)
Probabilistic Asynchronous Process Algebra - Metamodel
Part 5: Proposed solution … to integrate probabilistic asynchronous process‘ knowledge into ontologies Transformation mechanism   pa2OWL … to collect and ontologize knowledge on ambient processes AmIART-specific components  P-OWL … to enable adaptive, user-oriented and intelligent experimental environment Adaptive & Semantic Ambient System AmIART
AmIART: conceptual model Part 5: Proposed solution
P-OWL: AmIART-specific components   Adaptation  Manager  pa2OWL Web Agent  System Part 5: Proposed solution
Adaptation Manager   Part 5: Proposed solution
Web Agent System &   pa2OWL   Part 5: Proposed solution
 pa2OWL: Implementation details
Part 5: Proposed solution Transformation Rule
Part 5: Proposed solution
[object Object],[object Object],[object Object],[object Object],[object Object],Part 6: Evaluation of the validity
Part 6: Evaluation of the validity ,[object Object],[object Object],[object Object],[object Object],AmIART evaluation
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Part 7: Expected contribution
Part 8: Limitations ,[object Object]
[object Object],[object Object],[object Object],[object Object],Part 9: Comments on future directions
[object Object],[object Object],Thank you for your attention...

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