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Extract And Manage Knowledge

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How to extract and manage knowledge from various sources.

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Idea on Extractor Abed Ali (Oct 16,2006)
Agenda ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Block Diagram of Extractor X1 X2 X3 X4 X5 X6 X7 X8 KD1(w) KD2(w) KD3(w) KD4(w) KD5(w) KD6(w) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],KDi(w) K2(w) K3(w) K1(w) CKD1(w) Y1 Y2 Y3 Y4 CKD2(w) CKD3(w) x1 x2 x3
Knowledge Node Representation Knowledge Knowledge Domains (KD’s) Traversed – (Count ++) Worth Current Knowledge Domain (KD)
Knowledge Domain Node Representation Knowledge Domain (KD) Worth Adjacent KD’s with their Affinity Values Level
Identifying the exact domain for a given knowledge CMLink New Knowledge Publisher Publish Engine KD1 Listener KD2 Listener KD3 Listener Persistence Layer KD Decider DB 1 2 3 4 5 6
Pattern Match in Each Knowledge Domain Knowledge Sentence Normalizer Divides Noune1 Noune2 Noune3 Noune4 Noune5 Noune6 … .. HashPatternMatcher Noune1(x) Noune2(x) Noune3(x) Noune4(x) Noune5(x) Noune6(x) … .. x – Possible values (0 or 1) 1 2 3 4
Knowledge Domain ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Knowledge Domain Continued ,[object Object],[object Object],[object Object],[object Object]
Traversal Procedure ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Thank You

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Extract And Manage Knowledge

  • 1. Idea on Extractor Abed Ali (Oct 16,2006)
  • 2.
  • 3.
  • 4. Knowledge Node Representation Knowledge Knowledge Domains (KD’s) Traversed – (Count ++) Worth Current Knowledge Domain (KD)
  • 5. Knowledge Domain Node Representation Knowledge Domain (KD) Worth Adjacent KD’s with their Affinity Values Level
  • 6. Identifying the exact domain for a given knowledge CMLink New Knowledge Publisher Publish Engine KD1 Listener KD2 Listener KD3 Listener Persistence Layer KD Decider DB 1 2 3 4 5 6
  • 7. Pattern Match in Each Knowledge Domain Knowledge Sentence Normalizer Divides Noune1 Noune2 Noune3 Noune4 Noune5 Noune6 … .. HashPatternMatcher Noune1(x) Noune2(x) Noune3(x) Noune4(x) Noune5(x) Noune6(x) … .. x – Possible values (0 or 1) 1 2 3 4
  • 8.
  • 9.
  • 10.