SAmgI: Automatic Metadata Generation v.2

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Presentation of SAmgI, a Automatic Metadata Generator for Learning Objects. This work was presented at ED-Media conference 2007 in Vancouver.

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SAmgI: Automatic Metadata Generation v.2

  1. 1. SAmgI: Automatic Metadata Generation v2.0 Michael Meire, KULeuven, Belgium Xavier Ochoa, ESPOL, Ecuador Erik Duval, KULeuven, Belgium 2007
  2. 2. Agenda <ul><li>Why Automatic Metadata Generation? </li></ul><ul><li>AMG v.1 – What Went Wrong </li></ul><ul><li>SAmgI – What is New </li></ul><ul><li>SAmgI in Action </li></ul><ul><li>SAmgI to the Test </li></ul><ul><li>Make SAmgI yours! </li></ul>
  3. 3. Economy of Abundance
  4. 4. Economy of Abundance Put your LMS here!
  5. 5. Managing Abundance <ul><li>But those resources have to be: </li></ul><ul><ul><li>Found </li></ul></ul><ul><ul><li>Shared among tools </li></ul></ul><ul><ul><li>Evaluated by users </li></ul></ul><ul><ul><li>Assembled together </li></ul></ul><ul><ul><li>Related to each other </li></ul></ul><ul><ul><li>Branched in new versions </li></ul></ul><ul><ul><li>… </li></ul></ul>
  6. 6. <ul><li>But those resources have to be: </li></ul><ul><ul><li>Found </li></ul></ul><ul><ul><li>Shared among tools </li></ul></ul><ul><ul><li>Evaluated by users </li></ul></ul><ul><ul><li>Assembled together </li></ul></ul><ul><ul><li>Related to each other </li></ul></ul><ul><ul><li>Branched in new versions </li></ul></ul><ul><ul><li>… </li></ul></ul>Managing Abundance This is a job for … METADATA
  7. 7. But WHO will create all this metadata?
  8. 8. ARIADNE Grow
  9. 9. ARIADNE Grow Librarian metadata doesn’t scale!
  10. 10. Automatic is the Way… <ul><li>GATE ( Cunningham et al. 2002 ) </li></ul><ul><li>AMeGA (Greenberg et al. 2005) </li></ul><ul><li>Magic system (Ying et al. 2005) </li></ul><ul><li>AMG (Cardinaels et al. 2005) </li></ul><ul><li>Use information about the Object and its Context to extract or generate its metadata </li></ul>
  11. 11. AMG v.1 Design <ul><li>Integrate existing extraction algorithms </li></ul><ul><li>Two groups of Generators/Indexers: </li></ul><ul><ul><li>Object Based Extractors </li></ul></ul><ul><ul><li>Context Based Extractors </li></ul></ul><ul><li>Extraction/Generation Toolbox </li></ul><ul><ul><li>Keywords, Summarization, Language, EXIF </li></ul></ul>
  12. 12. AMG v.1 Design
  13. 13. AMG v.1 What Went Wrong <ul><li>It was an application </li></ul><ul><li>Not as flexible as initially thought </li></ul><ul><li>Initial set of extraction tools was too basic </li></ul><ul><li>It was Java only </li></ul>
  14. 14. <ul><li>It was an application </li></ul><ul><li>Not as flexible as initially thought </li></ul><ul><li>Initial set of extraction tools was too basic </li></ul><ul><li>It was Java only </li></ul>AMG v.1 What Went Wrong If at first you don't succeed…
  15. 15. SAmgI – What is New <ul><li>Simple AMG Interface </li></ul><ul><li>Main Design Goals: </li></ul><ul><ul><li>Easily Extendable </li></ul></ul><ul><ul><li>Service Oriented </li></ul></ul>
  16. 16. Easily Extendable
  17. 17. Service Oriented
  18. 18. Service Oriented
  19. 19. Service Oriented
  20. 20. SAmgI in Action <ul><li>Projects deploying SAmgI: </li></ul><ul><ul><li>MACE ( http://www.mace-project.eu/ ) </li></ul></ul><ul><ul><li>MELT ( http://info.melt-project.eu/ ) </li></ul></ul><ul><ul><li>ACKNOWLEDGE ( http://projects.ibbt.be/acknowledge ) </li></ul></ul><ul><ul><li>GLOBE network ( http://globe-info.org/ ) </li></ul></ul>
  21. 21. SAmgI in Action <ul><li>Try it online: </li></ul><ul><ul><li>http://www.cs.kuleuven.ac.be/~hmdb/amg </li></ul></ul>
  22. 22. SAmgI to the Test <ul><li>22 reviewers for 20 LOM records </li></ul><ul><ul><li>10 human generated (from Ariadne KPS) </li></ul></ul><ul><ul><li>10 SAmgI generated (from Prolearn deliverables) </li></ul></ul><ul><li>7 quality parameters (Bruce & Hillman framework) </li></ul><ul><ul><li>Completeness </li></ul></ul><ul><ul><li>Accuracy </li></ul></ul><ul><ul><li>Provenance </li></ul></ul><ul><ul><li>Conformance to expectations </li></ul></ul><ul><ul><li>Logical consistency and coherence </li></ul></ul><ul><ul><li>Timeliness </li></ul></ul><ul><ul><li>Accessibility </li></ul></ul>
  23. 23. SAmgI to the Test
  24. 24. SAmgI to the Test No significative difference in Quality!
  25. 25. Make SAmgI yours! <ul><li>Option 1: SAmgI as a black box </li></ul><ul><ul><li>Minimum programming </li></ul></ul><ul><ul><li>No context information </li></ul></ul><ul><ul><li>Small set of metadata. </li></ul></ul><ul><li>Option 2: Create a CBG </li></ul><ul><ul><li>Reuse all the other services </li></ul></ul><ul><ul><li>Rich metadata set </li></ul></ul><ul><ul><li>Some programming required </li></ul></ul>
  26. 26. Make SAmgI yours! <ul><li>Source: </li></ul><ul><ul><li>Sourceforge – ARIADNE KPS Project </li></ul></ul><ul><ul><ul><li>( http://ariadnekps.cvs.sourceforge.net/ariadnekps/SAmgI/ ) </li></ul></ul></ul><ul><li>Binaries and Examples: </li></ul><ul><ul><li>SAmgI Website </li></ul></ul><ul><ul><ul><li>( http://www.cs.kuleuven.ac.be/~hmdb/amg ) </li></ul></ul></ul>
  27. 27. Thank You! Dank U! Gracias! <ul><li>Questions, Comments, Critics… are all welcome!! </li></ul>Michael Meire michael.meire@cs.kuleuven.be http://www.cs.kuleuven.ac.be/~michael Xavier Ochoa [email_address] http://www.cti.espol.edu.ec/xavier Erik Duval Erik.Duval@cs.kuleuven.be http://www.cs.kuleuven.ac.be/~erikd

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