Knowledge Management in Agropedia Indica Pantnagar Workshop Margherita Sini (FAO) 31 July ‘08 – 2 August ‘08
Outline <ul><li>Knowledge Management & Knowledge Modeling </li></ul><ul><li>Knowledge Maps </li></ul><ul><li>Representatio...
Before we start... (1/3) <ul><li>Data : numbers, words, images    symbols as measurements or observations of a set of var...
Before we start... (2/3) INFORMATION DATA 105.7 white KNOWLEDGE If I want to cook an  Idli , I need to use a  white Short-...
Before we start... (3/3) <ul><li>Knowledge </li></ul><ul><ul><li>Explicit knowledge :  Explicit knowledge is knowledge tha...
Knowledge Management <ul><li>Create, capture, analyse, apply, and reuse knowledge;   </li></ul><ul><li>The process respons...
Knowledge Modeling <ul><li>Create knowledge models </li></ul>is white
Some definitions (1/3) <ul><li>Concepts / Classes:   idea; thought; </li></ul><ul><li>Individuals / Instances:  objects of...
Some definitions (2/3) Concept Instance Rambhog   Rice Link / Relationship Rambhog   Rice  is a type  of Rice Attributes <...
Some definitions (3/3) <ul><li>Relationships types: </li></ul><ul><ul><li>linking concepts: </li></ul></ul><ul><ul><ul><li...
Thesaurus and other KOS <ul><li>Knowledge Organization Systems </li></ul><ul><ul><li>Classification schemes </li></ul></ul...
Knowledge Maps / Concept Maps <ul><li>Different types </li></ul><ul><li>Should address a specific problem </li></ul><ul><l...
Taxonomy Map ( are )
Partitivity Map ( hasPart  or  isPartOf  )
Attribute Map ( hasAttribute  or  hasValue )
Process Map ( usesProcess )
Concept Map
Concept Map
Topic Map <ul><li>topics  - representing any concept  (e.g. people, countries, organizations, software modules, individual...
Ontologies <ul><li>More rich KM </li></ul><ul><li>Rules, axioms, ... </li></ul><ul><li>Ontology editors: Protégé, NeOn Too...
Representation languages <ul><li>Technologies for Knowledge Management </li></ul><ul><ul><li>machine interpretability (pro...
Metadata <ul><li>When you describe a given object (a book, a person, a product, etc.) with some information, you are actua...
Knowledge Modeling in Agriculture
Knowledge Modeling in Agriculture <ul><li>AOS </li></ul><ul><li>AGROVOC </li></ul><ul><li>AGROVOC Concept Server </li></ul...
AOS
AGROVOC Thesaurus
AGROVOC Concept Server WB
Agropedia KMs (1/2) CMap Editor. Generic model (one only) Specific models
Agropedia KMs (2/2)
Agropedia Indica this is a document about rice and its pests..... Once the rice ap- pear in the world ..... Mad Cow Disea-...
What’s next <ul><li>Now it’s up to you...: </li></ul><ul><ul><li>Build more KMs! </li></ul></ul><ul><ul><li>Add content! (...
The original problem... color rice recipe size usedToCook hasColor hasSize Jasmine white brown Idli 6mm  2.5mm hasInstance...
Take home messages <ul><li>Knowledge Maps to express your knowledge </li></ul><ul><li>Concepts, Instances, Relationships, ...
References <ul><li>KM:  http://www.epistemics.co.uk/Notes/90-0-0.htm   </li></ul><ul><li>CMap: http://cmap.ihmc.us/Publica...
Thanks! [email_address]
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1 Pantnagar

  1. 1. Knowledge Management in Agropedia Indica Pantnagar Workshop Margherita Sini (FAO) 31 July ‘08 – 2 August ‘08
  2. 2. Outline <ul><li>Knowledge Management & Knowledge Modeling </li></ul><ul><li>Knowledge Maps </li></ul><ul><li>Representation languages </li></ul><ul><li>Metadata </li></ul><ul><li>AOS </li></ul><ul><li>Agropedia Indica </li></ul><ul><li>What’s next </li></ul><ul><li>Take home messages </li></ul>
  3. 3. Before we start... (1/3) <ul><li>Data : numbers, words, images  symbols as measurements or observations of a set of variables. </li></ul><ul><li>Information : data that are processed to be useful. Contextualized data. Information includes human participation in the organization of raw data. </li></ul><ul><li>Knowledge : (Oxford Dictionary) “expertise, and skills acquired by a person through experience or education”. Involve expressing, sharing, processing. Intuitions! Confident understanding of a subject with the ability to use it for a specific purpose if appropriate. </li></ul>
  4. 4. Before we start... (2/3) INFORMATION DATA 105.7 white KNOWLEDGE If I want to cook an Idli , I need to use a white Short-Grain rice such as Rambhog Rice . 6mm length Brown Rice Jasmine Rice 2.5mm length White Botan Rice Size of grain Color Variety
  5. 5. Before we start... (3/3) <ul><li>Knowledge </li></ul><ul><ul><li>Explicit knowledge : Explicit knowledge is knowledge that has been or can be articulated, codified, and stored in certain media (@Wikipedia) </li></ul></ul><ul><ul><li>Tacit knowledge : resides in one’s mind! </li></ul></ul><ul><li>The AAA paradigm </li></ul><ul><ul><li>A nybody and say A nything about A ny topic. </li></ul></ul>
  6. 6. Knowledge Management <ul><li>Create, capture, analyse, apply, and reuse knowledge;  </li></ul><ul><li>The process responsible for gathering, analysing, storing and sharing knowledge and information; </li></ul><ul><li>It involves the design, review and implementation of both social and technological processes; </li></ul><ul><li>Making it available to others; </li></ul>K from Peoples! K for Computers!
  7. 7. Knowledge Modeling <ul><li>Create knowledge models </li></ul>is white
  8. 8. Some definitions (1/3) <ul><li>Concepts / Classes: idea; thought; </li></ul><ul><li>Individuals / Instances: objects of some type; </li></ul><ul><li>Relations / Relationships / Properties / Links: ways that classes and objects can be related to one another; </li></ul><ul><li>Attributes: properties, features, characteristics, or parameters that objects (classes or instances) can have; </li></ul>
  9. 9. Some definitions (2/3) Concept Instance Rambhog Rice Link / Relationship Rambhog Rice is a type of Rice Attributes <ul><li>color </li></ul><ul><li>size </li></ul><ul><li>trade name </li></ul><ul><li>hasDaysOfApplicationAfterSowing </li></ul><ul><li>hasDaysOfApplicationBeforeSowing </li></ul>
  10. 10. Some definitions (3/3) <ul><li>Relationships types: </li></ul><ul><ul><li>linking concepts: </li></ul></ul><ul><ul><ul><li>Hierarchical: subClassOf ( are ) </li></ul></ul></ul><ul><ul><ul><li>Associative: objectProperty </li></ul></ul></ul><ul><ul><li>linking concepts to instances: </li></ul></ul><ul><ul><ul><li>Is a type of ( is a ) </li></ul></ul></ul><ul><ul><li>linking concept to values: </li></ul></ul><ul><ul><ul><li>dataTypeProperty </li></ul></ul></ul>Rambhog Rice Rice is a (type of) white Rice hasColor (dataTypeProperty)
  11. 11. Thesaurus and other KOS <ul><li>Knowledge Organization Systems </li></ul><ul><ul><li>Classification schemes </li></ul></ul><ul><ul><li>Subject lists </li></ul></ul><ul><ul><li>Gazetteers </li></ul></ul><ul><ul><li>Glossaries </li></ul></ul><ul><ul><li>Thesauri </li></ul></ul><ul><li>Thesaurus: is a structured controlled vocabulary </li></ul><ul><li>Term based </li></ul><ul><li>Maybe multilingual </li></ul>
  12. 12. Knowledge Maps / Concept Maps <ul><li>Different types </li></ul><ul><li>Should address a specific problem </li></ul><ul><li>In one or multiple languages </li></ul>
  13. 13. Taxonomy Map ( are )
  14. 14. Partitivity Map ( hasPart or isPartOf )
  15. 15. Attribute Map ( hasAttribute or hasValue )
  16. 16. Process Map ( usesProcess )
  17. 17. Concept Map
  18. 18. Concept Map
  19. 19. Topic Map <ul><li>topics - representing any concept (e.g. people, countries, organizations, software modules, individual files, events) </li></ul><ul><li>associations - which represent the relationships between topics </li></ul><ul><li>occurrences - which represent relationships between topics and information resources relevant to them </li></ul>
  20. 20. Ontologies <ul><li>More rich KM </li></ul><ul><li>Rules, axioms, ... </li></ul><ul><li>Ontology editors: Protégé, NeOn Toolkit, Swoop </li></ul>
  21. 21. Representation languages <ul><li>Technologies for Knowledge Management </li></ul><ul><ul><li>machine interpretability (processed by applications) </li></ul></ul><ul><ul><li>standardized </li></ul></ul><ul><ul><li>bases of semantic web </li></ul></ul><ul><li>Types </li></ul><ul><ul><li>RDF and RDFS </li></ul></ul><ul><ul><li>OWL: add formal semantics </li></ul></ul><ul><ul><li>Topic Map: ISO standard ( XML ) </li></ul></ul>
  22. 22. Metadata <ul><li>When you describe a given object (a book, a person, a product, etc.) with some information, you are actually using metadata: any type of description of an object or resource can be considered metadata. </li></ul><ul><li>A set of elements used to describe an object is called the metadata element set. </li></ul>
  23. 23. Knowledge Modeling in Agriculture
  24. 24. Knowledge Modeling in Agriculture <ul><li>AOS </li></ul><ul><li>AGROVOC </li></ul><ul><li>AGROVOC Concept Server </li></ul><ul><li>Agropedia KMs </li></ul><ul><li>Agropedia Indica </li></ul>
  25. 25. AOS
  26. 26. AGROVOC Thesaurus
  27. 27. AGROVOC Concept Server WB
  28. 28. Agropedia KMs (1/2) CMap Editor. Generic model (one only) Specific models
  29. 29. Agropedia KMs (2/2)
  30. 30. Agropedia Indica this is a document about rice and its pests..... Once the rice ap- pear in the world ..... Mad Cow Disea- se is the commonly used name for Bovine Spongiform Encephalopathy (BSE) .... results.....
  31. 31. What’s next <ul><li>Now it’s up to you...: </li></ul><ul><ul><li>Build more KMs! </li></ul></ul><ul><ul><li>Add content! (indexing) </li></ul></ul><ul><li>Agropedia Team: </li></ul><ul><ul><li>Translate KMs in Hindi, Telegu, and others </li></ul></ul><ul><ul><li>Complete the infrastructure </li></ul></ul><ul><ul><li>Enrich services </li></ul></ul>
  32. 32. The original problem... color rice recipe size usedToCook hasColor hasSize Jasmine white brown Idli 6mm 2.5mm hasInstance usedToCook hasSize Rambhog hasColor KNOWLEDGE If I want to cook an Idli , I need to use a white Short-Grain rice such as Rambhog Rice.
  33. 33. Take home messages <ul><li>Knowledge Maps to express your knowledge </li></ul><ul><li>Concepts, Instances, Relationships, Attributes </li></ul><ul><li>Relationships: hierarchical, associative (objectProperties), for values (dataTypeProperty) </li></ul><ul><li>Ontology languages for computer consumption </li></ul><ul><li>Metadata to describe resources </li></ul><ul><li>AOS as pool of services </li></ul><ul><li>Agropedia Indica to publish and share your knowledge and resources </li></ul>
  34. 34. References <ul><li>KM: http://www.epistemics.co.uk/Notes/90-0-0.htm </li></ul><ul><li>CMap: http://cmap.ihmc.us/Publications/ResearchPapers/TheoryCmaps/TheoryUnderlyingConceptMaps.htm </li></ul><ul><li>RDF / RDFS: http://www.w3.org/TR/rdf-schema/ </li></ul><ul><li>OWL: http://www.w3.org/TR/owl-features/ </li></ul><ul><li>Metadata: ftp :// ftp.fao.org/gi/gil/gilws/aims/references/flyers/metadata_en.pdf </li></ul><ul><li>AGROVOC and AOS: http://www.fao.org/agrovoc/ </li></ul><ul><li>AGROPEDIA: http://www.agropedia.net </li></ul>
  35. 35. Thanks! [email_address]

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