This document discusses using open source tools to combine search engines, analytics, semantics, and content management systems (CMS) to enhance organizational knowledge management. It proposes a stack that uses Drupal as a semantic CMS with Apache Stanbol for content enhancement, reasoning, knowledge models, and persistence of semantic data. This integrated approach allows information and knowledge to be discovered, shared, reused, and retained within and across organizations.

1. Search Engines, Analytics and Semantics
Developments In Analytics And Big Data

2. Who am I?
•CEO of iO1
•I have worked across Government and large enterprises for 20+ years
•Wannabe Geek

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. 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. INTRANETS
Discovering

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. 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. 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. 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. 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. 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. Base Model
Create
Add Semantics
Store
Analysis
Discover

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

14. QUICKSHOWANDTELL

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. Add it using a normal edit screen

17. Click annotate, stuff happens

18. User checks if this right?

19. What user gets

20. What the search engine can see

22. INTEGRATION
Big Data

23. Linked Data Cloud

24. Connecting things

25. What we want

26. How we get it

27. 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

28. 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

29. A STACK

30. The Semantic Web

31. Semantic CMS Architecture
Thanks to the IKS project

32. Drupal has semantics built in

33. Pretty and open

34. Intelligent search

35. 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. TOOLSFORENHANCING& SCALING
Opensource

37. Extra’s

38. http://www.getopt.org/luke/

39. Q&A
Fintan Galvin
CEO
iO1 Limited
Twitter: Suncao
Email: fintan@io1.biz