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The Future Begins…  with an idea Web Servers are one thing, Nuclear Reactors are a bit more dangerous – there are systems which absolutely  must not  FAIL. ,[object Object],[object Object],[object Object]
Introduction “ Pattern recognition and association make up the core of our thought. These activities involve millions of operations carried out in parallel, outside the field of our consciousness. If AI appeared to hit a brick wall after a few quick victories, it did so owing to its inability to emulate these processes.”  -  Daniel Crevier ,[object Object],[object Object]
What is Intelligence anyway ? Is it  aptitude or retained knowledge, intuition  or pattern recognition ? How can we  measure, reproduce or automate what  we don’t fully understand yet?
The  Premise ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Understanding  Intelligence ,[object Object],[object Object],[object Object]
Content & Search  Management ,[object Object],[object Object],[object Object]
Section 1: The Promise & Potential Copyright 2011, All Rights Reserved – Teksouth Corporation
A Ten Year  Stalemate ,[object Object],[object Object],[object Object]
The world has been transformed by the  Web – yet it seems as though its full  Potential has somehow eluded us…
The  Promise ,[object Object],[object Object],[object Object]
The  Potential ,[object Object],[object Object]
A static Visualization of the Internet.  The actual scope and nature of Internet Is now much more dynamic in nature.  This doesn’t imply intelligence in itself  but does add to its potential.
The Future of  Intelligence ,[object Object],[object Object],[object Object],[object Object]
Semantic   Intelligence part 1 ,[object Object],[object Object],[object Object]
Knowledge is achieved only through understanding; Understanding is a dialectic process – asking questions  to solve a problem or mystery.  Semantic Intelligence  is  the ability to facilitate that process by defining relationships and patterns - allowing for dynamic relationship discovery.  The result is supercharged dialectic .
Section 2: Defining   Intelligent Content Copyright 2011, All Rights Reserved – Teksouth Corporation
Why Content  isn’t   Intelligent ,[object Object],[object Object],[object Object],[object Object],[object Object]
While having a library at your disposal is a nice thought – having to plough through 20 books to answer one simple question isn’t the most efficient approach. We now have access to many of those resources online – but still spend more time searching for and assembling results than we might otherwise have to…
When Content  Becomes   Intelligent ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Current  Content   Management   ,[object Object],[object Object],[object Object]
Content Management & Search ,[object Object],[object Object],[object Object]
Section 3: Defining  Intelligent Search Copyright 2011, All Rights Reserved – Teksouth Corporation
What Constitutes  Relevant Search  ? ,[object Object],[object Object],[object Object]
It’s all about  Context   ,[object Object],[object Object],[object Object]
Discovery is like finding pieces to a puzzle; except that often it is a picture that is based on our perceptions or expectations.
Understanding  Search Engines   ,[object Object],[object Object]
Context can include temporal consideration – information can change given different time related constraints…
Search:  What’s Missing ,[object Object],[object Object],[object Object]
Discovery  Threads ,[object Object],[object Object],[object Object]
Personalized  Discovery
Discovery  Trees ,[object Object],[object Object],[object Object]
Section 4: Semantic Integration Copyright 2011, All Rights Reserved – Teksouth Corporation
Semantic Integration , Defined ,[object Object],[object Object],[object Object]
Semantics is more than the current set of Semantic Web standards.
Semantic  Computing ,[object Object],[object Object],[object Object]
An important part of Semantic  Integration is the ability to define, apply and share rules.
Semantic  Intelligence part 2 ,[object Object],[object Object]
Semantic Integration : Methodology This represents an example of how principles of  Semantic Computing can be applied to solution  lifecycles through Semantic Integration.
Semantic  Architecture ,[object Object],[object Object]
Vision is driven by motivation. Our motivation is to make computing more effective in order to enhance  our  performance.
Applied  Semantics ,[object Object],[object Object],[object Object]
Conclusion ,[object Object],[object Object],[object Object]
Semantech Inc.  is InnovationWorx ,[object Object],[object Object]

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Intelligent Content & Search

  • 1.  
  • 2.
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  • 4. What is Intelligence anyway ? Is it aptitude or retained knowledge, intuition or pattern recognition ? How can we measure, reproduce or automate what we don’t fully understand yet?
  • 5.
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  • 8. Section 1: The Promise & Potential Copyright 2011, All Rights Reserved – Teksouth Corporation
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  • 10. The world has been transformed by the Web – yet it seems as though its full Potential has somehow eluded us…
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  • 13. A static Visualization of the Internet. The actual scope and nature of Internet Is now much more dynamic in nature. This doesn’t imply intelligence in itself but does add to its potential.
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  • 16. Knowledge is achieved only through understanding; Understanding is a dialectic process – asking questions to solve a problem or mystery. Semantic Intelligence is the ability to facilitate that process by defining relationships and patterns - allowing for dynamic relationship discovery. The result is supercharged dialectic .
  • 17. Section 2: Defining Intelligent Content Copyright 2011, All Rights Reserved – Teksouth Corporation
  • 18.
  • 19. While having a library at your disposal is a nice thought – having to plough through 20 books to answer one simple question isn’t the most efficient approach. We now have access to many of those resources online – but still spend more time searching for and assembling results than we might otherwise have to…
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  • 23. Section 3: Defining Intelligent Search Copyright 2011, All Rights Reserved – Teksouth Corporation
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  • 26. Discovery is like finding pieces to a puzzle; except that often it is a picture that is based on our perceptions or expectations.
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  • 28. Context can include temporal consideration – information can change given different time related constraints…
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  • 33. Section 4: Semantic Integration Copyright 2011, All Rights Reserved – Teksouth Corporation
  • 34.
  • 35. Semantics is more than the current set of Semantic Web standards.
  • 36.
  • 37. An important part of Semantic Integration is the ability to define, apply and share rules.
  • 38.
  • 39. Semantic Integration : Methodology This represents an example of how principles of Semantic Computing can be applied to solution lifecycles through Semantic Integration.
  • 40.
  • 41. Vision is driven by motivation. Our motivation is to make computing more effective in order to enhance our performance.
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