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Pritpal Kaur, Shelly Patwar, Gerard Sylvester, V Balaji *

Use of Semantic Wiki Tool to Build a Repository of Reusable Information Objects in Agricultural Education and Extension : results from a preliminary study. Pritpal Kaur, Shelly Patwar, Gerard Sylvester, V Balaji *. * v.balaji@cgiar.org. Scenario Today : a twin challenge.

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Pritpal Kaur, Shelly Patwar, Gerard Sylvester, V Balaji *

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  1. Use of Semantic Wiki Tool to Build a Repository of Reusable Information Objects in Agricultural Education and Extension : results from a preliminary study Pritpal Kaur, Shelly Patwar, Gerard Sylvester, V Balaji* *v.balaji@cgiar.org

  2. Scenario Today : a twin challenge • Agricultural content is often dispersed and there is no unified view to integrate the resources. Unified view is badly needed. • Multiple challenges in localization, customization and delivery to extension workers and educators.

  3. Towards a Solution….. • Semantic Tools provide for Knowledge Representation & Sharing • Unified knowledge/resource organization model feasible– can provide integrated view • Specialized and enhanced navigation • Can provide for rapid information aggregation from reusable information objects

  4. ICRISAT experiment : objective • Better, more efficient extraction from, and aggregation of, agricultural information resources, along with • Better Content Navigation • Better Content Organization

  5. Tools and methods • Content Organization (Semantic Mediawiki (primary) & Topic Map (secondary)) • Content Packaging (eXe Editor) • Content Navigation (Topic Maps & Semantic Mediawiki)

  6. Sources of Content: Wikipedia and VASAT Web site • Virtual Academy for the Semi-Arid Tropics (VASAT) is a strategic alliance of National and International partners aimed at combating drought in the Semi-Arid Tropics. • Generates literacy-style content online (www.icrisat.org/vasat/learning_resources)

  7. Semantic VASAT Wiki Ingredients + = + Semantic VASAT Wiki MediaWiki S/w Semantic Tool FAO’s AGROVOC FAO’s AGROVOC provides the Ontology to link information objects in the Wiki facilitated by OntoWorld’s Semantic Tool http://vasatwiki.icrisat.org

  8. Process with Semantic MediaWiki + Ontology • Uploaded agricultural content onto VASAT wiki from Wikipedia • Uploaded learning modules from VASAT Learning Objects Repository • Categorized content according to AGROVOC • Manually divided available articles into information objects • Created semantic relationships

  9. Process Workflow http://vasatwiki.icrisat.org/ Wiki + Semantic tool + Ontology AGROVOC Ontologies, categorization Semantic VASAT Wiki Agriculture article Extract Agricultural Articles Information objects VASAT LO Repository Version Staging Community Review Curation

  10. Information Objects on VASAT Wiki Article extracted and Semantic links established manually Wikipedia Article http://en.wikipedia.org/wiki/peanut 3 1 2 4 VASAT Wiki Article http://vasatwiki.icrisat.org/index.php/Groundnut

  11. Topic Map for VASAT’s Learning Objects Ontology AGROVOC ICRISAT’s Crop Topic Map Content VASAT LO repository Available at: http://test2.icrisat.org/

  12. Aggregate Resources Integrate content from various sources Content aggregated from VASAT Wiki Content from external Website Content aggregated thus could also be exported to various formats

  13. External Website 2 1 Wiki Article Content Aggregation from different sources using eXe Aggregate Content Export Content 4 3

  14. Content Repurposing Content repackaging and repurposing for export to many formats (compatible with SCORM, IMS-global for LMS and as HTML and to i-POD)

  15. Looking Forward… Village center NGOs Q&A; activities log Public NARS agencies Content Organization Ontology + Wiki-like interface Intl. agencies K-Base Other NARS agencies Commodity Markets Dynamic Data Weather / Meteorology Imagery/ Maps

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