Outline <ul><li>Access to Knowledge is key point to combate hunger and poverty </li></ul><ul><li>Complex Information Needs...
 
Availability is not enough!! Complex information needs  for agricultural development through research and innovation canno...
States of Knowledge
Knowledge Processes and Repositories
Where are we on the Web? Credits: various sources
RDF as a common format for merging data <ul><li>http://www.w3.org/2007/Talks/0221-Bangalore-IH/ </li></ul>
....and the code
The Linked Data Universe: http://www.linkeddata.com
Finding things related to “genes” across databases Source: Joanne Luciano, Mitre, and the W3C HCLS IG
The Linked Data Principles <ul><li>1. Use URIs as names for things  </li></ul><ul><li>2. Use HTTP URIs so that people can ...
Automatic RDF mark up
A missing ingredient:  Building on Main Stream CMS
AGRIS:  from bibliographical data to the web using linked data
Vocabularies to encode Application Knowledge- AgMes <ul><li>Document like Objects (Publications)‏ </li></ul><ul><li>Events...
Vocabularies to encode Application Knowledge- AgMes <ul><li>Document like Objects (Publications)‏ </li></ul><ul><li>Events...
Vocabularies to encode Domain Knowledge <ul><li>AGROVOC concept server </li></ul><ul><ul><li>more than 28,000 concepts,  <...
Domain Vocabularies <ul><li>AGROVOC concept server </li></ul><ul><ul><li>more than 28,000 concepts,  </li></ul></ul><ul><u...
Standard Vocabularies can be mapped <ul><li>Agrovoc </li></ul><ul><li>NAL -T </li></ul><ul><li>CAB -T </li></ul><ul><li>AG...
Agricultural Ontology Service: http://aims.fao.org
Community Building: CIARD
The CIARD  RING:  http://www.ciardring.net
CIARD RING: value added services CARIS / WISARD Users TECA Best practices Country profiles AGRIS Country NARS ICARDA AiDA ...
Upcoming SlideShare
Loading in...5
×

2009 11 icudl

502

Published on

Johannes Keizer's presentation at the ICUDL 2009 conference

0 Comments
0 Likes
Statistics
Notes
  • Be the first to comment

  • Be the first to like this

No Downloads
Views
Total Views
502
On Slideshare
0
From Embeds
0
Number of Embeds
0
Actions
Shares
0
Downloads
4
Comments
0
Likes
0
Embeds 0
No embeds

No notes for slide

2009 11 icudl

  1. 1. Outline <ul><li>Access to Knowledge is key point to combate hunger and poverty </li></ul><ul><li>Complex Information Needs!! </li></ul><ul><li>More links on the web: RDF, Linked Data, openCalais, Drupal.... </li></ul><ul><li>AOS - Vocabularies for linked data </li></ul><ul><li>The CIARD Web RING </li></ul>
  2. 3. Availability is not enough!! Complex information needs for agricultural development through research and innovation cannot be met by simply making information available. HTML HTML HTML Users HTML HTML HTML TECA Best practices Country profiles CARIS WISARD AGRIS HTML Country NARS HTML ICARDA HTML AiDA HTML Crop database HTML OPACs Disconnected repositories We need to know if a certain technology has been used in a specific country and in a dryland area for a specific crop and if there are related projects currently ongoing and where we can find the project outputs?
  3. 4. States of Knowledge
  4. 5. Knowledge Processes and Repositories
  5. 6. Where are we on the Web? Credits: various sources
  6. 7. RDF as a common format for merging data <ul><li>http://www.w3.org/2007/Talks/0221-Bangalore-IH/ </li></ul>
  7. 8. ....and the code
  8. 9. The Linked Data Universe: http://www.linkeddata.com
  9. 10. Finding things related to “genes” across databases Source: Joanne Luciano, Mitre, and the W3C HCLS IG
  10. 11. The Linked Data Principles <ul><li>1. Use URIs as names for things </li></ul><ul><li>2. Use HTTP URIs so that people can look up those names </li></ul><ul><li>3. When someone looks up a URI, provide useful RDF information </li></ul><ul><li>4. Include RDF statements that link to other URIs so that they can discover related things </li></ul>
  11. 12. Automatic RDF mark up
  12. 13. A missing ingredient: Building on Main Stream CMS
  13. 14. AGRIS: from bibliographical data to the web using linked data
  14. 15. Vocabularies to encode Application Knowledge- AgMes <ul><li>Document like Objects (Publications)‏ </li></ul><ul><li>Events </li></ul><ul><li>News </li></ul><ul><li>Experts </li></ul><ul><li>Organizations </li></ul><ul><li>Projects </li></ul><ul><li>Learning Objects </li></ul><ul><li>Research Data </li></ul>
  15. 16. Vocabularies to encode Application Knowledge- AgMes <ul><li>Document like Objects (Publications)‏ </li></ul><ul><li>Events </li></ul><ul><li>News </li></ul><ul><li>Experts </li></ul><ul><li>Organizations </li></ul><ul><li>Projects </li></ul><ul><li>Learning Objects </li></ul><ul><li>Research Data </li></ul><ags:dateStart schema=&quot; dcterms:W3CDTF &quot;> 2007-09-21 </ags:dateStart> <ags:dateEnd schema=&quot; dcterms:W3CDTF &quot;> 2007-09-22 </ags:dateEnd> <ags:location>   <ags:locationCity> Rome </ags:locationCity>   <ags:locationCountry schema=&quot; dcterms:ISO3166 &quot;> ITA </ags:locationCountry> </ags:location> <dc:type> Workshop </dc:type> <ags:organizer> Food and Agriculture Organization </ags:organizer>
  16. 17. Vocabularies to encode Domain Knowledge <ul><li>AGROVOC concept server </li></ul><ul><ul><li>more than 28,000 concepts, </li></ul></ul><ul><ul><li>200,000 terms, </li></ul></ul><ul><ul><li>18 languages </li></ul></ul><ul><li>Geopolitical Ontology </li></ul><ul><li>Fishery Ontologies </li></ul><ul><li>Crop Wild Relatives </li></ul><ul><li>Concepts (the abstract meaning) </li></ul><ul><ul><li>Ex: ‘rice’ in the sense of a plant, </li></ul></ul><ul><ul><li>Terms (language-specific lexical forms) </li></ul></ul><ul><ul><li>Ex: ‘Rice’, ‘Riz’, ‘Arroz’, ‘ 稻米’ , or ‘Paddy’ </li></ul></ul><ul><ul><li>Term variants (the range of forms that can occur for each term)‏ </li></ul></ul><ul><ul><li>Ex: ‘O. sativa’ or ‘Oryza Sativa’, ‘Organization’ or Organisation’ </li></ul></ul>
  17. 18. Domain Vocabularies <ul><li>AGROVOC concept server </li></ul><ul><ul><li>more than 28,000 concepts, </li></ul></ul><ul><ul><li>200,000 terms, </li></ul></ul><ul><ul><li>18 languages </li></ul></ul><ul><li>Geopolitical Ontology </li></ul><ul><li>Fishery Ontologies </li></ul><ul><li>Crop Wild Relatives </li></ul>Concept to oncep t isA (hierarchy), isPestOf, hasPest Concept to Term has_lexicalization (links concepts to their lexical realizations)‏ Term to Term isSynonymOf, isTranslationOf, hasAcronym, hasAbbreviation Term to String hasSpellingVariant, hasSingular
  18. 19. Standard Vocabularies can be mapped <ul><li>Agrovoc </li></ul><ul><li>NAL -T </li></ul><ul><li>CAB -T </li></ul><ul><li>AGMes – AGRIS AP </li></ul><ul><li>MARC </li></ul><ul><li>MODS </li></ul>
  19. 20. Agricultural Ontology Service: http://aims.fao.org
  20. 21. Community Building: CIARD
  21. 22. The CIARD RING: http://www.ciardring.net
  22. 23. CIARD RING: value added services CARIS / WISARD Users TECA Best practices Country profiles AGRIS Country NARS ICARDA AiDA Crop database Geo-ontology Crop ontology Organizations Directory Agrovoc OA gateway OPAC We need to know if a certain technology has been used in a specific country and in a dryland area for a specific crop and if there are related projects currently ongoing and where we can find the project outputs? gateway gateway gateway
  1. A particular slide catching your eye?

    Clipping is a handy way to collect important slides you want to go back to later.

×