Global identities for a global knowledge


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K@Persons will contribute to create K@Networks of excellence, thanks to the combination of an Internet Platform and data standards, that will enable all of the
participating entities to collaborate, share and build K@Nowledge.

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Global identities for a global knowledge

  1. 1. Global Identities for GlobalKnowledge sharingK@Personas meet K@Networks Iglesias – Consultor |
  2. 2. K@NetworksSharing and disseminationNetworks to promote the exchangeof Knowledge, Good Practices andimplementation strategies.
  3. 3. K@PersonasEntities, individuals, organizations orsystems in a context where, throught aset of authorizations, can trigger or usedifferent services, in order to, in real time,interact with other K@Personas as partof a knowledge transaction.
  4. 4. K@P build K@nowledge on K@NK@Persons will contribute to createK@Networks of excellence, thanks to thecombination of an Internet Platform anddata standards, that will enable all of theparticipating entities to collaborate, shareand build K@Nowledge.
  5. 5. What a K@Persona knowsPeople often publish a huge data aboutthemselves on the Web, such as:–  Who they are.–  Who they know.–  What they are interested in.–  Their curriculum vitae–  Employment history.–  Projects they work on.–  Their publications.–  …
  6. 6. Every K@Persona is uniqueAn unique Web identity for eachK@Persona allow us to identify ourselfwhen publishing this sort of informationonline and linking to each of thoseresources from anywhere.#me
  7. 7. The K@Persona Web IDHaving an unique Web ID allowsK@Personas to be referenciable andbuilt personal relations across differentthematic K@Networks on the Web.This is key to enabling Knowledgenetworks between different stakeholderswhile allowing each player to remain incontrol of the data they publish.
  8. 8. WebID s characteristics•  A way to uniquely identify a person,company, organisation, or any otheragent using an URI.•  Web Identification mechanism based onFOAF and SSL.#me
  9. 9. K@Persona select what to shareTo deal with privacy issues, a profileserver should reveal more or less abouta given K@Persona, its associated dataand knowledge depending on theK@Network where the interactionoccurs.P3P
  10. 10. K@Personas meet K@NetworksThe creation of knowledge-drivenNetworks involve a complex set of tasksthat require the joint effort of manystakeholders, including individuals,companies,universities andgovernments.
  11. 11. K@Personas meet K@NetworksThe success of a K@Network is closelylinked to the skills and knowledge of theirK@Personas and the tools they have toshare and collaborate.
  12. 12. K@nowledge across K@NetworksWhen a K@Network does not allow you tolink your data, it will be effectivelyconfining your data, only being usedwithin this network.When data becomes linked to a givenK@Persona it travels with you fromnetwork to network, and other people andcrawlers will find as much as you chooseto expose.
  13. 13. Confined K@nowledgeWhen a K@Network does not allow you tolink your data, it will be effectivelyconfining your data, only being usedwithin this network.
  14. 14. Confined K@nowledge•  Each K@Network stores all K@nowledge in itsown database and is responsible of updating.•  Duplication of knowledge and efforts.•  Using data from another network requires todownload and copy into your own.•  If one updates, everything becomes out ofsynchronization, presenting conflictinginformation to the community.
  15. 15. Linked Open K@nowledge•  Data is shared behind the scenes.•  Each K@Network focus on their topics andcan import supplemental data.•  Every imported data updates automatically.•  Consistent information across multiple sites.
  16. 16. K@Network ContributionsThe different K@Networks can alsoexpose (some of) the data which youhave created into them and will thus beassociated to your K@Persona.Any othe platform can consume the datain whatever new way combining differentsources.
  17. 17. K@nowledge sharingTo enable K@nowledge sharing acrossdifferent K@Networks it is necessary thatevery K@Persona talks the samelanguage.But, what language to choose?
  18. 18. Controlled Vocabularies•  Simple but powerfull model of given objects ina specific universe and their associatedterminology.•  Semantics and meaning to get context.•  Common understanding and interoperability.•  Multilingualism also easier to address.
  19. 19. Controlled VocabulariesUniverse of vocabularies that can be adaptedand reused for K@Networks and K@Personas:–  FOAF: People description–  SIOC: Semantically-Interlinked Online Communities–  SKOS: Simple Knowledge Organization System–  POWDER: Protocol for Web Description Resources–  ADMS: Asset Description Metadata Schema–  SCHEMA: Structured data markup
  20. 20. Specialized VocabulariesMore specialized vocabularies will also beneeded when dealing with specific topics:– Tourism: e.g. Tourism resources.– DCAT: Data Catalogues.TOURISM OPEN DATATTTTOOO
  21. 21. Objectives: Tourism•  Thematic Tourism K@Network.•  Match supply (Tourism resources) andK@Personas demand (K@Tourists).•  Ad-hoc Tourism specialized vocabularyfor resources and preferences.•  FOAF and SIOC adaptations and/orextensions for demand profiling.
  22. 22. Objectives: Open Data•  Thematic OData in Society K@Network•  Enable K@Personas to easily createOpen Data apps to match K@Personas(K@Citizens) demand of services.•  Ad-hoc Apps specialized vocabulariesfor apps and demand.•  FOAF and SIOC adaptations and/orextensions for demand profiling.
  23. 23. Expected outcomes•  WebID implementation for K@Personas–  Identification system integrated in the K@Platform.•  Profile Manager to explore K@Personas andtheir networks.•  Core reference Vocabularies–  Adaptation of existing vocabularies and developmentof new ones to cover the specific use cases: Tourismand OGD.•  Two Thematic K@nowledge managers(Tourism and OData apps) to import/exportrelevant topic information from K@Networks andK@Personas.