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Fifth Semantic Inter- Operability for E-Government Conference Practical Solutions for Knowledge Discovery Challenges: Knowledge Representation and Complexity Control Alianna J. Maren, Ph.D. Chief Scientist; EagleForce Associates, Inc. [email protected] 703.564.7436 2010 Corporate Ridge, Suite 550, McLean VA www.theeagleforce.com

Fifth Semantic Inter-Operability for E-Government Conference Practical Solutions for Knowledge Discovery Challenges: Knowledge Representation and Complexity

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Page 1: Fifth Semantic Inter-Operability for E-Government Conference Practical Solutions for Knowledge Discovery Challenges: Knowledge Representation and Complexity

Fifth Semantic Inter-Operability for

E-Government Conference

Practical Solutions for Knowledge Discovery Challenges:

Knowledge Representation and Complexity Control

Alianna J. Maren, Ph.D.Chief Scientist; EagleForce Associates, Inc.

[email protected]

2010 Corporate Ridge, Suite 550, McLean VA

www.theeagleforce.com

Page 2: Fifth Semantic Inter-Operability for E-Government Conference Practical Solutions for Knowledge Discovery Challenges: Knowledge Representation and Complexity

EagleForce Associates

GIG Enterprise Services Concept

Page 3: Fifth Semantic Inter-Operability for E-Government Conference Practical Solutions for Knowledge Discovery Challenges: Knowledge Representation and Complexity

EagleForce Associates

Knowledge Discovery Challenge

INSIGHT

ConceptRelation-ships

Page 4: Fifth Semantic Inter-Operability for E-Government Conference Practical Solutions for Knowledge Discovery Challenges: Knowledge Representation and Complexity

EagleForce Associates

Comparative Volumes of Information Processing

Page 5: Fifth Semantic Inter-Operability for E-Government Conference Practical Solutions for Knowledge Discovery Challenges: Knowledge Representation and Complexity

EagleForce Associates

Representation Levels Solve Biological “Computationally Hard” Problems

Multiple Representation Levels Needed for Biological Vision Processing

Page 6: Fifth Semantic Inter-Operability for E-Government Conference Practical Solutions for Knowledge Discovery Challenges: Knowledge Representation and Complexity

EagleForce Associates

Uses “difference” of larger Gaussian from more narrowly-focused central one to reduce noise

Comparative Volumes of Information Processing

Digital Data Processing Biological Vision Processing

*D. Young, “Gaussian masks, scale space, and edge detection,” http://www.cogs.susx.ac.uk/users/davidy/teachvision/vision3.html

Can use Shannon Information Theory to reduce noise

Similar methods suitable for first-stage processing in both biological and digital knowledge discovery

Gaussian Difference of Gaussians

Page 7: Fifth Semantic Inter-Operability for E-Government Conference Practical Solutions for Knowledge Discovery Challenges: Knowledge Representation and Complexity

EagleForce Associates

EagleForce Intelligence Development:The 7 Levels of Knowledge Discovery

Page 8: Fifth Semantic Inter-Operability for E-Government Conference Practical Solutions for Knowledge Discovery Challenges: Knowledge Representation and Complexity

EagleForce Associates

The First Three Representation Layers

Level 1:Concept Extraction

Level 2:

Concept Association Syntactic Discovery

Concept Classes

Concept-to-Concept

Matches

Concept -Relationship

- Concept

Insurgent Leader Radical Shi’ite ClericIraq, NajafReligious LeaderDevout Following

e.g.: Concept Category 2“Muqtada al-Sadr”

e.g., “Ali al-Sistani”

e.g., “Muqtada al-Sadr”

1 2 3 4 N

1

4

2

3

N

Level 3:

“C4: Ali al-Sistani”

“C2: Muqtada al-Sadr”

“Muqtada al-Sadr”

“Ali al-Sistani”

Relationship / Verb Identification

Negotiate

Agreed

Meet

Concept Association

Concept Identification

Page 9: Fifth Semantic Inter-Operability for E-Government Conference Practical Solutions for Knowledge Discovery Challenges: Knowledge Representation and Complexity

EagleForce Associates

Geospatial Taxonomy

Other Taxonomical Layers

Example: Multiple Interacting Taxonomies

TERRORIST TAXONOMY

Tactic: Bombing Target: Hotel

Target

SchoolGovernment-

Related Facility

Hotel

Infrastructure Taxonomy

Weapons and Tactics

Taxonomy

Communication Taxonomy

Perpetrator

Group 1Group 2

Group 3

Suspected perpetrator member of minority ethnic group with ties to UBL

Country Taxonomy

Terrorist Bombing

Location

Page 10: Fifth Semantic Inter-Operability for E-Government Conference Practical Solutions for Knowledge Discovery Challenges: Knowledge Representation and Complexity

EagleForce Associates

Summary

• Effective knowledge discovery requires an architecture – Multiple representation levels

– Increase abstraction with increasing computational complexity

– Defer complex processing until truly required

• Strong neuromorphic basis; use aspects of brain architecture to inspire computational solution