Web24dev Icrisat 2
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Web24dev Icrisat 2






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Web24dev Icrisat 2 Web24dev Icrisat 2 Presentation Transcript

  • 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 * * [email_address]
  • 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.
  • 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
  • ICRISAT experiment : objective
    • Better, more efficient extraction from, and aggregation of, agricultural information resources , along with
      • Better Content Navigation
      • Better Content Organization
  • Tools and methods
    • Content Organization ( Semantic Mediawiki (primary) & Topic Map (secondary))
    • Content Packaging ( eXe Editor )
    • Content Navigation (Topic Maps & Semantic Mediawiki)
  • 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)
  • Semantic VASAT Wiki Ingredients + + = FAO’s AGROVOC provides the Ontology to link information objects in the Wiki facilitated by OntoWorld’s Semantic Tool Semantic Tool MediaWiki S/w FAO’s AGROVOC Semantic VASAT Wiki http://vasatwiki.icrisat.org
  • 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
  • Process Workflow Curation Semantic VASAT Wiki Version Staging Agriculture article Extract Agricultural Articles Wiki + Semantic tool + Ontology Community Review http://vasatwiki.icrisat.org/ Information objects VASAT LO Repository AGROVOC Ontologies, categorization
  • Information Objects on VASAT Wiki Wikipedia Article http://en.wikipedia.org/wiki/peanut VASAT Wiki Article http://vasatwiki.icrisat.org/index.php/Groundnut Article extracted and Semantic links established manually 1 2 3 4
  • Topic Map for VASAT’s Learning Objects VASAT LO repository AGROVOC Content Ontology ICRISAT’s Crop Topic Map Available at: http://test2.icrisat.org/
  • Aggregate Resources Content aggregated from VASAT Wiki Content from external Website Integrate content from various sources Content aggregated thus could also be exported to various formats
  • Wiki Article External Website Aggregate Content Content Aggregation from different sources using eXe Export Content 1 2 3 4
  • 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 )
  • Looking Forward… Content Organization Ontology + Wiki-like interface Intl. agencies Other NARS agencies Commodity Markets Weather / Meteorology Dynamic Data K-Base Imagery/ Maps Village center NGOs Q&A; activities log Public NARS agencies