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Presentation on KM at Pantnagar University, India

Presentation on KM at Pantnagar University, India

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

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