The document discusses the potential for intelligent content and search through semantic integration and defining intelligence. It argues that current approaches to content management, search, and artificial intelligence have failed to meet expectations by not fully understanding or reproducing human intelligence. True intelligence, it claims, involves enhancing human cognition through tools that extract meaningful relationships from vast stores of human knowledge.
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
Intelligent Content & Search
1.
2.
3.
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.
6.
7.
8. Section 1: The Promise & Potential Copyright 2011, All Rights Reserved – Teksouth Corporation
9.
10. The world has been transformed by the Web – yet it seems as though its full Potential has somehow eluded us…
11.
12.
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.
14.
15.
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…
20.
21.
22.
23. Section 3: Defining Intelligent Search Copyright 2011, All Rights Reserved – Teksouth Corporation
24.
25.
26. Discovery is like finding pieces to a puzzle; except that often it is a picture that is based on our perceptions or expectations.
27.
28. Context can include temporal consideration – information can change given different time related constraints…
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.