PROGNOS: Predictive
                    Situational Awareness with
                      Probabilistic Ontologies
        ...
Agenda




                                   2


Thursday, July 15, 2010
Agenda
                Objective




                                     2


Thursday, July 15, 2010
Agenda
                Objective
                Methodology




                                       2


Thursday, July...
Agenda
                Objective
                Methodology
                Modeling the PO for MDA
                     ...
Agenda
                Objective
                Methodology
                Modeling the PO for MDA
                     ...
Agenda
                Objective
                Methodology
                Modeling the PO for MDA
                     ...
Agenda
                Objective
                Methodology
                Modeling the PO for MDA
                     ...
Objective


                          Objective - Methodology - Modeling - Reasoning - Testing - Conclusion   3


Thursday...
Objective




                          Objective - Methodology - Modeling - Reasoning - Testing - Conclusion   4


Thursd...
Objective
                Develop a probabilistic ontology capable of reasoning
                with masses of evidence fr...
Objective
                Develop a probabilistic ontology capable of reasoning
                with masses of evidence fr...
Objective
                Develop a probabilistic ontology capable of reasoning
                with masses of evidence fr...
Methodology


                          Objective - Methodology - Modeling - Reasoning - Testing - Conclusion   5


Thursd...
UMP-SW




                          Objective - Methodology - Modeling - Reasoning - Testing - Conclusion   6


Thursday,...
POMC




        Requirements

        Analysis & Design

         Implementation



                            Objective...
Modeling


                          Objective - Methodology - Modeling - Reasoning - Testing - Conclusion   8


Thursday,...
Requirements




                          Objective - Methodology - Modeling - Reasoning - Testing - Conclusion   9


Thu...
Requirements
                In our domain we have the following set of goal/queries/
                evidence:




      ...
Requirements
                In our domain we have the following set of goal/queries/
                evidence:
          ...
Requirements
                In our domain we have the following set of goal/queries/
                evidence:
          ...
Requirements
                In our domain we have the following set of goal/queries/
                evidence:
          ...
Requirements
                In our domain we have the following set of goal/queries/
                evidence:
          ...
Requirements
                In our domain we have the following set of goal/queries/
                evidence:
          ...
Requirements
                In our domain we have the following set of goal/queries/
                evidence:
          ...
Requirements
                In our domain we have the following set of goal/queries/
                evidence:
          ...
Requirements
                In our domain we have the following set of goal/queries/
                evidence:
          ...
Requirements
                In our domain we have the following set of goal/queries/
                evidence:
          ...
Analysis & Design I




                          Objective - Methodology - Modeling - Reasoning - Testing - Conclusion   ...
Analysis & Design II




                           Objective - Methodology - Modeling - Reasoning - Testing - Conclusion ...
Analysis & Design II
                The probabilistic rules for our model include:




                           Objecti...
Analysis & Design II
                The probabilistic rules for our model include:
                      A ship is of int...
Analysis & Design II
                The probabilistic rules for our model include:
                      A ship is of int...
Analysis & Design II
                The probabilistic rules for our model include:
                      A ship is of int...
Analysis & Design II
                The probabilistic rules for our model include:
                      A ship is of int...
Analysis & Design II
                The probabilistic rules for our model include:
                      A ship is of int...
Analysis & Design II
                The probabilistic rules for our model include:
                      A ship is of int...
Analysis & Design III




                           Objective - Methodology - Modeling - Reasoning - Testing - Conclusion...
Analysis & Design III
                The probabilistic rules for our model include:




                           Object...
Analysis & Design III
                The probabilistic rules for our model include:
                      A ship that mee...
Analysis & Design III
                The probabilistic rules for our model include:
                      A ship that mee...
Analysis & Design III
                The probabilistic rules for our model include:
                      A ship that mee...
Analysis & Design III
                The probabilistic rules for our model include:
                      A ship that mee...
Analysis & Design III
                The probabilistic rules for our model include:
                      A ship that mee...
Analysis & Design III
                The probabilistic rules for our model include:
                      A ship that mee...
Implementation I




                          Objective - Methodology - Modeling - Reasoning - Testing - Conclusion   13
...
Implementation II




                          Objective - Methodology - Modeling - Reasoning - Testing - Conclusion   14...
Implementation III




                          Objective - Methodology - Modeling - Reasoning - Testing - Conclusion   1...
Implementation IV




                          Objective - Methodology - Modeling - Reasoning - Testing - Conclusion   16...
Reasoning


                          Objective - Methodology - Modeling - Reasoning - Testing - Conclusion   17


Thursda...
SSBN Construction




                           Objective - Methodology - Modeling - Reasoning - Testing - Conclusion   1...
Scalability I
                             '!"

                             &#"

                             &!"

      ...
Scalability II




                                 *...exponential number of nodes compared to KB size


                ...
Scalability III




                                        *SSMSBN to explore local computation


                       ...
Scalability IV




                               *Approximation algorithms to improve computation speed


               ...
Testing


                          Objective - Methodology - Modeling - Reasoning - Testing - Conclusion   23


Thursday,...
Simulate Ground Truth




                            Objective - Methodology - Modeling - Reasoning - Testing - Conclusio...
Create Agents




                          Objective - Methodology - Modeling - Reasoning - Testing - Conclusion   25


T...
Sample Reports

                                                             Ground Truth




                            ...
Sample Reports

                                                             Ground Truth




                            ...
Sample Reports

                                                             Ground Truth




                            ...
Sample Reports

                                                             Ground Truth




                            ...
Sample Reports

                                                             Ground Truth




                            ...
Connect the Dots




                          Objective - Methodology - Modeling - Reasoning - Testing - Conclusion   27
...
Compare to Ground Truth




                          Objective - Methodology - Modeling - Reasoning - Testing - Conclusio...
Compare to Ground Truth




                          Objective - Methodology - Modeling - Reasoning - Testing - Conclusio...
Compare to Ground Truth




                                                                                              ...
Compare to Ground Truth



                                                                              ?
               ...
PCC Evaluation




                                                                                                       ...
Conclusion


                          Objective - Methodology - Modeling - Reasoning - Testing - Conclusion   30


Thursd...
Conclusion




                          Objective - Methodology - Modeling - Reasoning - Testing - Conclusion   31


Thur...
Conclusion
                Showed how use the UMP-SW to create a PO for MDA




                          Objective - Meth...
Conclusion
                Showed how use the UMP-SW to create a PO for MDA
                Implemented different solution...
Conclusion
                Showed how use the UMP-SW to create a PO for MDA
                Implemented different solution...
Future Work




                          Objective - Methodology - Modeling - Reasoning - Testing - Conclusion   32


Thu...
Future Work
                Improve the PO for MDA
                      Include new rationales based on statistical data
...
Future Work
                Improve the PO for MDA
                      Include new rationales based on statistical data
...
Future Work
                Improve the PO for MDA
                      Include new rationales based on statistical data
...
Future Work
                Improve the PO for MDA
                      Include new rationales based on statistical data
...
Obrigado!




                                      33


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Fusion 2010 - PROGNOS: Predictive Situational Awareness with Probabilistic Ontologies

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Presentation given by Rommel Carvalho at the 13th International Conference on Information Fusion in 27 July 2010.

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Fusion 2010 - PROGNOS: Predictive Situational Awareness with Probabilistic Ontologies

  1. 1. PROGNOS: Predictive Situational Awareness with Probabilistic Ontologies Rommel Carvalho, Paulo Costa, Kathryn Laskey, and KC Chang George Mason University Paper - 13th International Conference on Information Fusion Fusion 2010 Thursday, July 15, 2010
  2. 2. Agenda 2 Thursday, July 15, 2010
  3. 3. Agenda Objective 2 Thursday, July 15, 2010
  4. 4. Agenda Objective Methodology 2 Thursday, July 15, 2010
  5. 5. Agenda Objective Methodology Modeling the PO for MDA Requirements Analysis & Design Implementation 2 Thursday, July 15, 2010
  6. 6. Agenda Objective Methodology Modeling the PO for MDA Requirements Analysis & Design Implementation Reasoning 2 Thursday, July 15, 2010
  7. 7. Agenda Objective Methodology Modeling the PO for MDA Requirements Analysis & Design Implementation Reasoning Testing the PO for MDA 2 Thursday, July 15, 2010
  8. 8. Agenda Objective Methodology Modeling the PO for MDA Requirements Analysis & Design Implementation Reasoning Testing the PO for MDA Conclusion 2 Thursday, July 15, 2010
  9. 9. Objective Objective - Methodology - Modeling - Reasoning - Testing - Conclusion 3 Thursday, July 15, 2010
  10. 10. Objective Objective - Methodology - Modeling - Reasoning - Testing - Conclusion 4 Thursday, July 15, 2010
  11. 11. Objective Develop a probabilistic ontology capable of reasoning with masses of evidence from different domains in order to provide situation awareness on maritime domain. Objective - Methodology - Modeling - Reasoning - Testing - Conclusion 4 Thursday, July 15, 2010
  12. 12. Objective Develop a probabilistic ontology capable of reasoning with masses of evidence from different domains in order to provide situation awareness on maritime domain. Part of PROGNOS PRobabilistic OntoloGies for Net-centric Operation Systems Objective - Methodology - Modeling - Reasoning - Testing - Conclusion 4 Thursday, July 15, 2010
  13. 13. Objective Develop a probabilistic ontology capable of reasoning with masses of evidence from different domains in order to provide situation awareness on maritime domain. Part of PROGNOS PRobabilistic OntoloGies for Net-centric Operation Systems Use PR-OWL MEBN High-Level Fusion UnBBayes Objective - Methodology - Modeling - Reasoning - Testing - Conclusion 4 Thursday, July 15, 2010
  14. 14. Methodology Objective - Methodology - Modeling - Reasoning - Testing - Conclusion 5 Thursday, July 15, 2010
  15. 15. UMP-SW Objective - Methodology - Modeling - Reasoning - Testing - Conclusion 6 Thursday, July 15, 2010
  16. 16. POMC Requirements Analysis & Design Implementation Objective - Methodology - Modeling - Reasoning - Testing - Conclusion 7 Thursday, July 15, 2010
  17. 17. Modeling Objective - Methodology - Modeling - Reasoning - Testing - Conclusion 8 Thursday, July 15, 2010
  18. 18. Requirements Objective - Methodology - Modeling - Reasoning - Testing - Conclusion 9 Thursday, July 15, 2010
  19. 19. Requirements In our domain we have the following set of goal/queries/ evidence: Objective - Methodology - Modeling - Reasoning - Testing - Conclusion 9 Thursday, July 15, 2010
  20. 20. Requirements In our domain we have the following set of goal/queries/ evidence: Does the ship have a terrorist crewmember? Objective - Methodology - Modeling - Reasoning - Testing - Conclusion 9 Thursday, July 15, 2010
  21. 21. Requirements In our domain we have the following set of goal/queries/ evidence: Does the ship have a terrorist crewmember? Verify if a crewmember is related to any terrorist; Objective - Methodology - Modeling - Reasoning - Testing - Conclusion 9 Thursday, July 15, 2010
  22. 22. Requirements In our domain we have the following set of goal/queries/ evidence: Does the ship have a terrorist crewmember? Verify if a crewmember is related to any terrorist; Verify if a crewmember is associated with any terrorist organization. Objective - Methodology - Modeling - Reasoning - Testing - Conclusion 9 Thursday, July 15, 2010
  23. 23. Requirements In our domain we have the following set of goal/queries/ evidence: Does the ship have a terrorist crewmember? Verify if a crewmember is related to any terrorist; Verify if a crewmember is associated with any terrorist organization. Is the ship using an unusual route? Objective - Methodology - Modeling - Reasoning - Testing - Conclusion 9 Thursday, July 15, 2010
  24. 24. Requirements In our domain we have the following set of goal/queries/ evidence: Does the ship have a terrorist crewmember? Verify if a crewmember is related to any terrorist; Verify if a crewmember is associated with any terrorist organization. Is the ship using an unusual route? Verify if there is a direct report that the ship is using an unusual route; Objective - Methodology - Modeling - Reasoning - Testing - Conclusion 9 Thursday, July 15, 2010
  25. 25. Requirements In our domain we have the following set of goal/queries/ evidence: Does the ship have a terrorist crewmember? Verify if a crewmember is related to any terrorist; Verify if a crewmember is associated with any terrorist organization. Is the ship using an unusual route? Verify if there is a direct report that the ship is using an unusual route; Verify if there is a report that the ship is meeting some other ship for no apparent reason. Objective - Methodology - Modeling - Reasoning - Testing - Conclusion 9 Thursday, July 15, 2010
  26. 26. Requirements In our domain we have the following set of goal/queries/ evidence: Does the ship have a terrorist crewmember? Verify if a crewmember is related to any terrorist; Verify if a crewmember is associated with any terrorist organization. Is the ship using an unusual route? Verify if there is a direct report that the ship is using an unusual route; Verify if there is a report that the ship is meeting some other ship for no apparent reason. Does the ship seem to exhibit evasive behavior? Objective - Methodology - Modeling - Reasoning - Testing - Conclusion 9 Thursday, July 15, 2010
  27. 27. Requirements In our domain we have the following set of goal/queries/ evidence: Does the ship have a terrorist crewmember? Verify if a crewmember is related to any terrorist; Verify if a crewmember is associated with any terrorist organization. Is the ship using an unusual route? Verify if there is a direct report that the ship is using an unusual route; Verify if there is a report that the ship is meeting some other ship for no apparent reason. Does the ship seem to exhibit evasive behavior? Verify if an electronic countermeasure (ECM) was identified by a navy ship; Objective - Methodology - Modeling - Reasoning - Testing - Conclusion 9 Thursday, July 15, 2010
  28. 28. Requirements In our domain we have the following set of goal/queries/ evidence: Does the ship have a terrorist crewmember? Verify if a crewmember is related to any terrorist; Verify if a crewmember is associated with any terrorist organization. Is the ship using an unusual route? Verify if there is a direct report that the ship is using an unusual route; Verify if there is a report that the ship is meeting some other ship for no apparent reason. Does the ship seem to exhibit evasive behavior? Verify if an electronic countermeasure (ECM) was identified by a navy ship; Verify if the ship has a responsive radar and automatic identification system (AIS). Objective - Methodology - Modeling - Reasoning - Testing - Conclusion 9 Thursday, July 15, 2010
  29. 29. Analysis & Design I Objective - Methodology - Modeling - Reasoning - Testing - Conclusion 10 Thursday, July 15, 2010
  30. 30. Analysis & Design II Objective - Methodology - Modeling - Reasoning - Testing - Conclusion 11 Thursday, July 15, 2010
  31. 31. Analysis & Design II The probabilistic rules for our model include: Objective - Methodology - Modeling - Reasoning - Testing - Conclusion 11 Thursday, July 15, 2010
  32. 32. Analysis & Design II The probabilistic rules for our model include: A ship is of interest if and only if it has a terrorist crewmember; Objective - Methodology - Modeling - Reasoning - Testing - Conclusion 11 Thursday, July 15, 2010
  33. 33. Analysis & Design II The probabilistic rules for our model include: A ship is of interest if and only if it has a terrorist crewmember; If a crewmember is related to a terrorist, then it is more likely that he is also a terrorist; Objective - Methodology - Modeling - Reasoning - Testing - Conclusion 11 Thursday, July 15, 2010
  34. 34. Analysis & Design II The probabilistic rules for our model include: A ship is of interest if and only if it has a terrorist crewmember; If a crewmember is related to a terrorist, then it is more likely that he is also a terrorist; If a crewmember is a member of a terrorist organization, then it is more likely that he is a terrorist; Objective - Methodology - Modeling - Reasoning - Testing - Conclusion 11 Thursday, July 15, 2010
  35. 35. Analysis & Design II The probabilistic rules for our model include: A ship is of interest if and only if it has a terrorist crewmember; If a crewmember is related to a terrorist, then it is more likely that he is also a terrorist; If a crewmember is a member of a terrorist organization, then it is more likely that he is a terrorist; If an organization has a terrorist member, it is more likely that it is a terrorist organization; Objective - Methodology - Modeling - Reasoning - Testing - Conclusion 11 Thursday, July 15, 2010
  36. 36. Analysis & Design II The probabilistic rules for our model include: A ship is of interest if and only if it has a terrorist crewmember; If a crewmember is related to a terrorist, then it is more likely that he is also a terrorist; If a crewmember is a member of a terrorist organization, then it is more likely that he is a terrorist; If an organization has a terrorist member, it is more likely that it is a terrorist organization; A ship of interest is more likely to have an unusual route; Objective - Methodology - Modeling - Reasoning - Testing - Conclusion 11 Thursday, July 15, 2010
  37. 37. Analysis & Design II The probabilistic rules for our model include: A ship is of interest if and only if it has a terrorist crewmember; If a crewmember is related to a terrorist, then it is more likely that he is also a terrorist; If a crewmember is a member of a terrorist organization, then it is more likely that he is a terrorist; If an organization has a terrorist member, it is more likely that it is a terrorist organization; A ship of interest is more likely to have an unusual route; A ship of interest is more likely to meet other ships for trading illicit cargo; Objective - Methodology - Modeling - Reasoning - Testing - Conclusion 11 Thursday, July 15, 2010
  38. 38. Analysis & Design III Objective - Methodology - Modeling - Reasoning - Testing - Conclusion 12 Thursday, July 15, 2010
  39. 39. Analysis & Design III The probabilistic rules for our model include: Objective - Methodology - Modeling - Reasoning - Testing - Conclusion 12 Thursday, July 15, 2010
  40. 40. Analysis & Design III The probabilistic rules for our model include: A ship that meets other ships to trade illicit cargo is more likely to have an unusual route; Objective - Methodology - Modeling - Reasoning - Testing - Conclusion 12 Thursday, July 15, 2010
  41. 41. Analysis & Design III The probabilistic rules for our model include: A ship that meets other ships to trade illicit cargo is more likely to have an unusual route; A ship of interest is more likely to have an evasive behavior; Objective - Methodology - Modeling - Reasoning - Testing - Conclusion 12 Thursday, July 15, 2010
  42. 42. Analysis & Design III The probabilistic rules for our model include: A ship that meets other ships to trade illicit cargo is more likely to have an unusual route; A ship of interest is more likely to have an evasive behavior; A ship with evasive behavior is more likely to have non responsive electronic equipment; Objective - Methodology - Modeling - Reasoning - Testing - Conclusion 12 Thursday, July 15, 2010
  43. 43. Analysis & Design III The probabilistic rules for our model include: A ship that meets other ships to trade illicit cargo is more likely to have an unusual route; A ship of interest is more likely to have an evasive behavior; A ship with evasive behavior is more likely to have non responsive electronic equipment; A ship with evasive behavior is more likely to deploy an ECM; Objective - Methodology - Modeling - Reasoning - Testing - Conclusion 12 Thursday, July 15, 2010
  44. 44. Analysis & Design III The probabilistic rules for our model include: A ship that meets other ships to trade illicit cargo is more likely to have an unusual route; A ship of interest is more likely to have an evasive behavior; A ship with evasive behavior is more likely to have non responsive electronic equipment; A ship with evasive behavior is more likely to deploy an ECM; A ship might have non responsive electronic equipment due to working problems; Objective - Methodology - Modeling - Reasoning - Testing - Conclusion 12 Thursday, July 15, 2010
  45. 45. Analysis & Design III The probabilistic rules for our model include: A ship that meets other ships to trade illicit cargo is more likely to have an unusual route; A ship of interest is more likely to have an evasive behavior; A ship with evasive behavior is more likely to have non responsive electronic equipment; A ship with evasive behavior is more likely to deploy an ECM; A ship might have non responsive electronic equipment due to working problems; A ship that is within radar range of a ship that deployed an ECM might be able to detect the ECM, but not who deployed it. Objective - Methodology - Modeling - Reasoning - Testing - Conclusion 12 Thursday, July 15, 2010
  46. 46. Implementation I Objective - Methodology - Modeling - Reasoning - Testing - Conclusion 13 Thursday, July 15, 2010
  47. 47. Implementation II Objective - Methodology - Modeling - Reasoning - Testing - Conclusion 14 Thursday, July 15, 2010
  48. 48. Implementation III Objective - Methodology - Modeling - Reasoning - Testing - Conclusion 15 Thursday, July 15, 2010
  49. 49. Implementation IV Objective - Methodology - Modeling - Reasoning - Testing - Conclusion 16 Thursday, July 15, 2010
  50. 50. Reasoning Objective - Methodology - Modeling - Reasoning - Testing - Conclusion 17 Thursday, July 15, 2010
  51. 51. SSBN Construction Objective - Methodology - Modeling - Reasoning - Testing - Conclusion 18 Thursday, July 15, 2010
  52. 52. Scalability I '!" &#" &!" %#" !"#$%&!'()&*+,& %!" $#" $!" #" !" !" #" $!" $#" %!" %#" &!" &#" '!" '#" -.(/)0&"1&-"2)+& *Linear time compared to number of nodes, but... Objective - Methodology - Modeling - Reasoning - Testing - Conclusion 19 Thursday, July 15, 2010
  53. 53. Scalability II *...exponential number of nodes compared to KB size Objective - Methodology - Modeling - Reasoning - Testing - Conclusion 20 Thursday, July 15, 2010
  54. 54. Scalability III *SSMSBN to explore local computation Objective - Methodology - Modeling - Reasoning - Testing - Conclusion 21 Thursday, July 15, 2010
  55. 55. Scalability IV *Approximation algorithms to improve computation speed Objective - Methodology - Modeling - Reasoning - Testing - Conclusion 22 Thursday, July 15, 2010
  56. 56. Testing Objective - Methodology - Modeling - Reasoning - Testing - Conclusion 23 Thursday, July 15, 2010
  57. 57. Simulate Ground Truth Objective - Methodology - Modeling - Reasoning - Testing - Conclusion 24 Thursday, July 15, 2010
  58. 58. Create Agents Objective - Methodology - Modeling - Reasoning - Testing - Conclusion 25 Thursday, July 15, 2010
  59. 59. Sample Reports Ground Truth *Some GT information will never be sampled - e.g. ship of interest **Different KBs might have different types of information - e.g. social network vs ship location Objective - Methodology - Modeling - Reasoning - Testing - Conclusion 26 Thursday, July 15, 2010
  60. 60. Sample Reports Ground Truth CIA *Some GT information will never be sampled - e.g. ship of interest **Different KBs might have different types of information - e.g. social network vs ship location Objective - Methodology - Modeling - Reasoning - Testing - Conclusion 26 Thursday, July 15, 2010
  61. 61. Sample Reports Ground Truth CIA FBI *Some GT information will never be sampled - e.g. ship of interest **Different KBs might have different types of information - e.g. social network vs ship location Objective - Methodology - Modeling - Reasoning - Testing - Conclusion 26 Thursday, July 15, 2010
  62. 62. Sample Reports Ground Truth CIA FBI Navy *Some GT information will never be sampled - e.g. ship of interest **Different KBs might have different types of information - e.g. social network vs ship location Objective - Methodology - Modeling - Reasoning - Testing - Conclusion 26 Thursday, July 15, 2010
  63. 63. Sample Reports Ground Truth CIA ... FBI Navy *Some GT information will never be sampled - e.g. ship of interest **Different KBs might have different types of information - e.g. social network vs ship location Objective - Methodology - Modeling - Reasoning - Testing - Conclusion 26 Thursday, July 15, 2010
  64. 64. Connect the Dots Objective - Methodology - Modeling - Reasoning - Testing - Conclusion 27 Thursday, July 15, 2010
  65. 65. Compare to Ground Truth Objective - Methodology - Modeling - Reasoning - Testing - Conclusion 28 Thursday, July 15, 2010
  66. 66. Compare to Ground Truth Objective - Methodology - Modeling - Reasoning - Testing - Conclusion 28 Thursday, July 15, 2010
  67. 67. Compare to Ground Truth Ground Truth Objective - Methodology - Modeling - Reasoning - Testing - Conclusion 28 Thursday, July 15, 2010
  68. 68. Compare to Ground Truth ? = Ground Truth Objective - Methodology - Modeling - Reasoning - Testing - Conclusion 28 Thursday, July 15, 2010
  69. 69. PCC Evaluation ! Objective - Methodology - Modeling - Reasoning - Testing - Conclusion 29 Thursday, July 15, 2010
  70. 70. Conclusion Objective - Methodology - Modeling - Reasoning - Testing - Conclusion 30 Thursday, July 15, 2010
  71. 71. Conclusion Objective - Methodology - Modeling - Reasoning - Testing - Conclusion 31 Thursday, July 15, 2010
  72. 72. Conclusion Showed how use the UMP-SW to create a PO for MDA Objective - Methodology - Modeling - Reasoning - Testing - Conclusion 31 Thursday, July 15, 2010
  73. 73. Conclusion Showed how use the UMP-SW to create a PO for MDA Implemented different solutions to scalability problems SSMSBN Approximation algorithms Objective - Methodology - Modeling - Reasoning - Testing - Conclusion 31 Thursday, July 15, 2010
  74. 74. Conclusion Showed how use the UMP-SW to create a PO for MDA Implemented different solutions to scalability problems SSMSBN Approximation algorithms Implemented a solid framework for testing the models Simulation Comparing results to ground truth PCC Evaluation Objective - Methodology - Modeling - Reasoning - Testing - Conclusion 31 Thursday, July 15, 2010
  75. 75. Future Work Objective - Methodology - Modeling - Reasoning - Testing - Conclusion 32 Thursday, July 15, 2010
  76. 76. Future Work Improve the PO for MDA Include new rationales based on statistical data Objective - Methodology - Modeling - Reasoning - Testing - Conclusion 32 Thursday, July 15, 2010
  77. 77. Future Work Improve the PO for MDA Include new rationales based on statistical data Improve scalability Implement hypothesis management Objective - Methodology - Modeling - Reasoning - Testing - Conclusion 32 Thursday, July 15, 2010
  78. 78. Future Work Improve the PO for MDA Include new rationales based on statistical data Improve scalability Implement hypothesis management Improve communication Gather information from different sources using OWL-S Objective - Methodology - Modeling - Reasoning - Testing - Conclusion 32 Thursday, July 15, 2010
  79. 79. Future Work Improve the PO for MDA Include new rationales based on statistical data Improve scalability Implement hypothesis management Improve communication Gather information from different sources using OWL-S Generate statistical results from different simulations Compare the results to the ground truth Compute PCC Objective - Methodology - Modeling - Reasoning - Testing - Conclusion 32 Thursday, July 15, 2010
  80. 80. Obrigado! 33 Thursday, July 15, 2010
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