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Free Text Tagging System 
Chan Naseeb
Contents 
• Problem 
• Approach 
• Solution 
• Design 
• Conclusion and future work 
• Benefits 
• Final Remarks 
Department of Mathematics & Computer Science 11-9-2014 PAGE 1
Problem 
• Rigid feedback 
• People don’t want to give it a shot 
• Less interactive 
• Very difficult to use it for practical purposes 
Department of Mathematics & Computer Science 11-9-2014 PAGE 2
Approach 
Department of Mathematics & Computer Science 11-9-2014 PAGE 3
Solution 
• Semantic based information collection system 
• Store feedback for applications 
• Profiling 
• Recommendation 
• Attend Event use case 
• The design covers the main use case 
• A proof of concept as first iteration. 
Department of Mathematics & Computer Science 11-9-2014 PAGE 4
Design 
Department of Mathematics & Computer Science 11-9-2014 PAGE 5
Design… 
Department of Mathematics & Computer Science 11-9-2014 PAGE 6
Application Scenarios 
• We can use the system to build up a network in 
specific fields: 
• Give the suggestions / recommendations for the 
− Participants 
− Event organizer 
− Performers 
• Organize group ticket 
• Suggestion for designing event 
Department of Mathematics & Computer Science 11-9-2014 PAGE 7
Future Trends 
• Application of this generic software infrastructure 
could be envisaged in many different domains. 
• a. Tourism 
• b. City exploration 
• c. Educational campaigns such as public awareness. 
Department of Mathematics & Computer Science 11-9-2014 PAGE 8
Conclusion 
• A proof of concept to show the use of free text 
tagging/feedback capability 
• Could be used for many applications including profiling 
and recommendation. 
Department of Mathematics & Computer Science 11-9-2014 PAGE 9
Benefits 
• Understand your audience well 
• Free text feedback capability instead of rigid 
feedback 
− Questionnaires, 
− Scale 1 to 5 
− email etc. 
• Profiling & Recommendation for events, users, and 
performers could be built based on this application. 
• DB technology could be replaced with Semantic Web 
technologies 
Department of Mathematics & Computer Science 
11-9-2014 PAGE 10
Final Remarks 
• Limitation 
• Complexity to comprehend such feedback 
• More iterations needed 
• Future work 
• Realizing and implementing Profiling and 
Recommendation capabilities 
• Deploying the (distributed) triple store 
Department of Mathematics & Computer Science 11-9-2014 PAGE 11
•Thanks 
Department of Mathematics & Computer Science 11-9-2014 PAGE 12

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Free text tagging system

  • 1. Free Text Tagging System Chan Naseeb
  • 2. Contents • Problem • Approach • Solution • Design • Conclusion and future work • Benefits • Final Remarks Department of Mathematics & Computer Science 11-9-2014 PAGE 1
  • 3. Problem • Rigid feedback • People don’t want to give it a shot • Less interactive • Very difficult to use it for practical purposes Department of Mathematics & Computer Science 11-9-2014 PAGE 2
  • 4. Approach Department of Mathematics & Computer Science 11-9-2014 PAGE 3
  • 5. Solution • Semantic based information collection system • Store feedback for applications • Profiling • Recommendation • Attend Event use case • The design covers the main use case • A proof of concept as first iteration. Department of Mathematics & Computer Science 11-9-2014 PAGE 4
  • 6. Design Department of Mathematics & Computer Science 11-9-2014 PAGE 5
  • 7. Design… Department of Mathematics & Computer Science 11-9-2014 PAGE 6
  • 8. Application Scenarios • We can use the system to build up a network in specific fields: • Give the suggestions / recommendations for the − Participants − Event organizer − Performers • Organize group ticket • Suggestion for designing event Department of Mathematics & Computer Science 11-9-2014 PAGE 7
  • 9. Future Trends • Application of this generic software infrastructure could be envisaged in many different domains. • a. Tourism • b. City exploration • c. Educational campaigns such as public awareness. Department of Mathematics & Computer Science 11-9-2014 PAGE 8
  • 10. Conclusion • A proof of concept to show the use of free text tagging/feedback capability • Could be used for many applications including profiling and recommendation. Department of Mathematics & Computer Science 11-9-2014 PAGE 9
  • 11. Benefits • Understand your audience well • Free text feedback capability instead of rigid feedback − Questionnaires, − Scale 1 to 5 − email etc. • Profiling & Recommendation for events, users, and performers could be built based on this application. • DB technology could be replaced with Semantic Web technologies Department of Mathematics & Computer Science 11-9-2014 PAGE 10
  • 12. Final Remarks • Limitation • Complexity to comprehend such feedback • More iterations needed • Future work • Realizing and implementing Profiling and Recommendation capabilities • Deploying the (distributed) triple store Department of Mathematics & Computer Science 11-9-2014 PAGE 11
  • 13. •Thanks Department of Mathematics & Computer Science 11-9-2014 PAGE 12

Editor's Notes

  1. Limitations: More iteration are needed to come to a reasonable architecture. But as this project was a one week project, it was unlikely to give it multiple tries. However, this still leaves the room for me to go after it in future as I expect to build on top of this project.