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Harnessing search engines for KM

Presentation to The Operational Research Society on :Search Engines, Analytics and Semantics as part of the Developments In Analytics And Big Data Conference.

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Harnessing search engines for KM

  1. 1. Search Engines, Analytics and Semantics Developments In Analytics And Big Data
  2. 2. Who am I? •CEO of iO1 •I have worked across Government and large enterprises for 20+ years •Wannabe Geek
  3. 3. This presentation •The focus will be on giving you an under standing of how to combine key areas using open source toolsto enhance your organisations knowledge management •Presentation is based on Invotra our intranet product we are working with the Home Office to roll out •Everything is available freely and built on open standards •You should be able to go away and build this by the end •Targeted at simple solutions that can be broadly adopted to encourage participation by experts (like you).
  4. 4. Why Open source? •Open is “usually” •Easier to integrate, Massively scalable •More componentised •Easier to fix -You can see the code •You can see what people are planning on doing in future •Free •Communities are fantastic, its easy to contribute •Please join
  5. 5. INTRANETS Discovering
  6. 6. Why intranets •An internal system •Unstructured and ad-hoc data •An everyday anytime tool for everyone •Different usages in nearly every scenario •Apart from the lunch menu ;-) •Rarely recognised for the knowledge it contains •A place for everything else i.e. Not covered by a line of business app •Made up of multiple systems (search, cms, semantics, analytics) •Its never the same
  7. 7. Areas the stack is focussed on •Saving minutes •Discovering knowledge •Handling staff turnover •Sustainable knowledge management •Extracting knowledge as opposed to defining a million reports •Properly personalised •Understanding context and capture knowledge not just data •Helping users to help organisations •Focussed Simplicity
  8. 8. CMS •Help people •Discover information / knowledge •Input information / knowledge not just data •Create relationships between information •Maintain information / Knowledge •Share •By being an interface to everything else •Essentially the users tool
  9. 9. Search Engine •Help people find •Better information and knowledge •More quickly •Tailored to your own requirements •Biased the way you want •Leveraging your knowledge •Find knowledge inside peoples heads by looking at what they write to infer what they know
  10. 10. Analytics •Instant feedback •Real world knowledge •Discover real usages •See patterns in data and usage •See usage impact factors •Do analysis on creation, this gives you insights into what's happening now •Analysis of versions
  11. 11. Semantic web •According to the W3C •"The Semantic Web provides a common framework that allows data to be shared and reused across application, enterprise, and community boundaries.
  12. 12. Base Model Create Add Semantics Store Analysis Discover
  13. 13. Models for adding semantic data •Forced on after input •Advanced Guesswork •Added during input •Users know what they meant •Forced on at display •Useful when dealing with intelligent UI’s
  15. 15. We need some text The standard enhance can detect cities such as parisand people like David Heath from the UK who works for the UK Department for Environment Food and Rural Affairs
  16. 16. Add it using a normal edit screen
  17. 17. Click annotate, stuff happens
  18. 18. User checks if this right?
  19. 19. What user gets
  20. 20. What the search engine can see
  21. 21. INTEGRATION Big Data
  22. 22. Linked Data Cloud
  23. 23. Connecting things
  24. 24. What we want
  25. 25. How we get it
  26. 26. Custom Vocabularies •Don’t start from scratch •Spend effort on modelling using Linked Data to save you hassle •Use search to extraction from existing data •Store your vocabularies in a source that is open ;-) •Allow users to tag content and analyse this against the content they are tagging to gain insights
  27. 27. What problems does all this solve? •Better quality answers to user questions/searchs •Giving users the ability to provide background to their content •Storing the information within the content so its shared easier between systems / departments •Retaining knowledge after authors have left Organisation •Giving organisations the ability to intelligently discover data
  28. 28. A STACK
  29. 29. The Semantic Web
  30. 30. Semantic CMS Architecture Thanks to the IKS project
  31. 31. Drupal has semantics built in
  32. 32. Pretty and open
  33. 33. Intelligent search
  34. 34. Semantics = Stanbol •Apache Stanbol'smain features are: •Content EnhancementServices that add semantic information to “non-semantic” pieces of content. •ReasoningServices that are able to retrieve additional semantic information about the content based on the semantic information retrieved via content enhancement. •Knowledge ModelsServices that are used to define and manipulate the data models (e.g. ontologies) that are used to store the semantic information. •PersistenceServices that store (or cache) semantic information, i.e. enhanced content, entities, facts, and make it searchable.
  36. 36. Extra’s
  37. 37.
  38. 38. Q&A Fintan Galvin CEO iO1 Limited Twitter: Suncao Email: