Semantic Web Tools in support of Agricultural Content Representation & Retrieval Gerard Sylvester The International Crops ...
This research is being carried out at the  International Crops Research Institute  for the Semi-Arid Tropics (ICRISAT)  un...
Chaos in Agricultural Research and Extension <ul><li>Agricultural content is dispersed and there is no unified view to int...
The Solution! <ul><li>Unified Knowledge/Resource organization model needed – Integrated View </li></ul><ul><li>Semantic To...
Why Semantic Web Tools? <ul><li>To associate  meaning  with content  </li></ul><ul><li>Establishing a layer of machine und...
Components of the experiment <ul><li>Content Organization (Semantic Mediawiki & Topic Map) </li></ul><ul><li>Content Packa...
Semantic VASAT Wiki Ingredients + + = FAO’s AGROVOC provides the Ontology to link  information objects in the Wiki facilit...
An Ongoing Experiment with  SMW + Ontology <ul><li>Uploaded agricultural content onto VASAT wiki (1000 articles uploaded f...
Workflow Curation Semantic VASAT Wiki Version Staging AGROVOC Ontologies, categorization   Agriculture  article Extract  A...
Information Objects on VASAT Wiki Wikipedia Article http://en.wikipedia.org/wiki/Pigeonpea VASAT Wiki Article http://vasat...
 
An Ongoing Experiment with  Topic Maps + Ontology <ul><li>Topic Maps to facilitate Repurposing of Agricultural Information...
Aggregate Resources  Content  aggregated  from VASAT Wiki Content  from external Website Integrate content from various so...
Wiki Article External Website Content Package Content Packaging from different sources
Content Repurposing Content repackaging and repurposing to be exported to many different formats
The Topic Map Concept Chickpea Pests Legume Rust Pigeonpea Diseases Cultural  practices   DB Web pages Associations Occurr...
Topic Map for VASAT’s Learning Objects VASAT LO repository AGROVOC Content Ontology ICRISAT’s Crop Topic Map Available at:...
Topic Map - Visualized A Pigeonpea Topic Map displayed using Ontopoly Software
 
Looking Forward… Content  Organization Ontology  + Wiki-like interface ICAR Intl. agencies Other NARS agencies Commodity M...
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Semantic Web Tools For Agricultural Materials

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The use of Semantic tools and techniques for Agricultural Resources

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Semantic Web Tools For Agricultural Materials

  1. 1. Semantic Web Tools in support of Agricultural Content Representation & Retrieval Gerard Sylvester The International Crops Research Institute for the Semi-Arid Tropics (ICRISAT)
  2. 2. This research is being carried out at the International Crops Research Institute for the Semi-Arid Tropics (ICRISAT) under the guidance of Dr. V Balaji by the Knowledge Management and Sharing team at ICRISAT. This is supported by the NAIP of the ICAR. http://www.icrisat.org/ Acknowledgement
  3. 3. Chaos in Agricultural Research and Extension <ul><li>Agricultural content is dispersed and there is no unified view to integrate the resources. </li></ul><ul><li>Difficulty in sharing common content in the agricultural realms </li></ul><ul><li>Content is tightly coupled with the context and the presentation medium </li></ul>
  4. 4. The Solution! <ul><li>Unified Knowledge/Resource organization model needed – Integrated View </li></ul><ul><li>Semantic Tools provide for Knowledge Representation & Sharing </li></ul><ul><li>Specialized and enhanced navigation </li></ul><ul><li>Provides for rapid information aggregation from reusable information objects </li></ul>
  5. 5. Why Semantic Web Tools? <ul><li>To associate meaning with content </li></ul><ul><li>Establishing a layer of machine understandable data that would facilitate automated agents, sophisticated search engines and interoperable services. </li></ul><ul><li>It will enable a higher degree of automation and more intelligent applications. </li></ul><ul><li>THE ULTIMATE GOAL : to allow machines to share and exploitation of knowledge in the Web way </li></ul>
  6. 6. Components of the experiment <ul><li>Content Organization (Semantic Mediawiki & Topic Map) </li></ul><ul><li>Content Packaging (eXe Editor) </li></ul><ul><li>Content Navigation (Topic Maps & Semantic Mediawiki) </li></ul>
  7. 7. 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
  8. 8. An Ongoing Experiment with SMW + Ontology <ul><li>Uploaded agricultural content onto VASAT wiki (1000 articles uploaded from Wikipedia) </li></ul><ul><li>Categorized content according to AGROVOC </li></ul><ul><li>Manually divided available articles into information objects and </li></ul><ul><li>Created ontological relationships (Semantics) among the information objects in the VASAT wiki </li></ul>
  9. 9. Workflow Curation Semantic VASAT Wiki Version Staging AGROVOC Ontologies, categorization Agriculture article Extract Agricultural Articles Wiki + Semantic tool + Ontology Community Review http:// vasatwiki.icrisat.org/index.php/Chickpea Information objects
  10. 10. Information Objects on VASAT Wiki Wikipedia Article http://en.wikipedia.org/wiki/Pigeonpea VASAT Wiki Article http://vasatwiki.icrisat.org/index.php/Pigeonpea Article extracted and Semantic links established manually 1 4 3 2
  11. 12. An Ongoing Experiment with Topic Maps + Ontology <ul><li>Topic Maps to facilitate Repurposing of Agricultural Information Objects </li></ul><ul><li>Provides a meta-structure over dispersed information objects </li></ul><ul><li>Provides the ability to map dynamic content onto the knowledge structure </li></ul>
  12. 13. 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
  13. 14. Wiki Article External Website Content Package Content Packaging from different sources
  14. 15. Content Repurposing Content repackaging and repurposing to be exported to many different formats
  15. 16. The Topic Map Concept Chickpea Pests Legume Rust Pigeonpea Diseases Cultural practices DB Web pages Associations Occurrences Web page Knowledge Layer Information Layer
  16. 17. Topic Map for VASAT’s Learning Objects VASAT LO repository AGROVOC Content Ontology ICRISAT’s Crop Topic Map Available at: http://test2.icrisat.org/
  17. 18. Topic Map - Visualized A Pigeonpea Topic Map displayed using Ontopoly Software
  18. 20. Looking Forward… Content Organization Ontology + Wiki-like interface ICAR Intl. agencies Other NARS agencies Commodity Markets Weather / Meteorology Dynamic Data SAUs K-Base Imagery/ Maps KVKs NGOs DoA Q&A; activities log

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