The document discusses a project at the University of Southern California that utilizes big data and web crawling to address human trafficking, highlighting its scale, financial implications, and technological approaches. It outlines a systematic method for data extraction and connection discovery, employing machine learning and data integration techniques to create a unified database for analysis. The initiative aims to aid law enforcement and NGOs in combating human trafficking by leveraging insights from millions of online ads.

1. Big Data/DIG
Domain-Specific Insight Graphs
Pedro Szekely
University of Southern California
www.isi.edu/~szekely

2. Connecting The Dots
Using the Web To Solve Hard Problems

3. Hard Problems
State of the Art
Our Solution
Impact

4. Hard Problems
Healthcare
Research investment
Human trafficking
…

5. Human Trafficking

6. Illegal drugs
Arms trafficking
Human trafficking
Illegal Industries

7. $32 billion
profit per year

8. 14
Average Age of Entry To Prostitution in the US

9. $150,000
PIMP’s Profit Per Child Per Year

10. $45,000,000
Advertising Budget On the Web

11. Human Trafficking on the Web
Thousands of Web sites
Millions of pages

12. Hard Problems
State of the Art
Our Solution
Impact

14. Google Finds “DOTS”

15. Recipe
“Dot”

16. Nutrition
“Dot”

17. Google finds dots
User finds connections

18. System Objectives
1. find all the dots
2. find all the connections

19. Hard Problems
State of the Art
Our Solution
Impact

20. 1. Downloads all relevant pages
2. Extracts & cleans the data
3. Discovers connections
4. Builds unified database
5. Creates query & analysis portal

21. 1. Go to Web site
2. Download page
3. Follow links
4. Wait, then repeat
24/7
Web Crawling Software
2,000 Pages/Hour -- 50,000,000 pages Total

22. Data Extraction
“YOU don't wanna miss out on ME :)
Perfect lil booty Green eyes Long
curly black hair Im a Irish,Armenian
and Filipino mixed princess :) ❤ Kim
❤ 7○7~7two7~7four77 ❤ HH 80
roses ❤ Hour 120 roses ❤ 15 mins
60 roses”
name: Kim
eye-color: green
hair-color: black
phone: 707-727-7477
rate: $60/15min
$80/30min
$120/60min

23. Crowd-SourcED Annotations
“YOU don't wanna miss out on ME :) Perfect lil booty Green eyes
Long curly black hair Im a Irish,Armenian and Filipino mixed princess :)
Green O eye color O hair color
black O eye color O hair color
2 cents/sentence

24. Automatic Construction of Extractors
5,000 annotations
Machine
Learning
Ready-to-use
Extraction
Software
$100, 1 day
Technology: Conditional Random Fields

25. Data Cleaning
AD Weight
1 130
2 480
3 133lbs
4 BBW
5 52 kg
6 110 pounds
AD Weight (Kg)
1 59
2
3 60
4
5 52
6 50

26. Using Extracted Data to Connect the Dots
Mary Lucy
222-0000 777-0000
Police Database
Bad Guy: 777-0000
Technology: Karma Information Integration Toolkit

27. Using Text Similarity to Connect the Dots
E M I LY SEXY. ** wHiTe/lATin girl ** bUsTy SWEET. LoTs Of fUn. Call Me. O_U_T_C___A___L_L_S
LAY LA SEXY. ** wHiTe girl ** bUsTy SWEET. LoTs Of fUn. Call Me. O____U____T____C___A___L____L____S
L I LA SEXY. ** WhiTe girl ** bUsTy SWEET. LoTs Of fUn. Call Me. O_U_T_C___A___L_L_S
Technology: MinHash/LSH

28. Using Image Similarity to Connect the Dots
20 Million Images Technology: Deep Learning

29. Create Unified Database
50 Million Ads
Technologies: Karma, Hadoop, Hive, Elastic-Search
20 Computers, 2 Hours 4 Billion Records

31. Hard Problems
State of the Art
Our Solution
Impact

32. Deployed to Law
Enforcement and NGOs

33. Organizations
University of
Southern California
Columbia University
InferLink
NASA JPL
Next Century
Researchers
Pedro Szekely (PI),
Shih-Fu Chang
Tao Chen
Kevin Knight
Craig Knoblock
Daniel Marcu
Chris Mattmann
Steve Minton
Prem Natarajan
Andrew Philpot
MikeTamayo
Engineers
Brian Amanatullah
Rachel Artiss
David Flynt
Dipsy Kapoor,
Students
Jason Slepicka
Amandeep Singh
ChengyeYin
Subessware
Karunamoorthy