Domain-Specific Insight Graphs (DIG)

Pedro SzekelyMay 2017

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dig.isi.edu2

Use the web to answer investigative questions

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Use Case: Human Trafficking

100 million pages>5,000 Web sites

help victims &prosecute traffickers

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Investigating a Reported Victim

San Diego, where else?5

Locations Where A Potential Victim Was Advertised

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DIG Technology

raw w messy w disconnected clean w organized w linkedhard to query, analyze & visualize easy to query, analyze & visualize

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Steps To Build a DIG

Crawling ExtractionData Acquisition

Mapping ToOntology

Entity Linking& Similarity

Knowledge GraphDeployment

Query &Visualization

ElasticSearch

GraphDB

schema.org geonames

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Data Acquisition

batch w real-time

Web pages w Web service database w CSV w Excel

XML w JSON

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Information ExtractionText

Web pages

Web tables

Images

PDF10

“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: Kimeye-color: greenhair-color: black

phone: 707-727-7477rate: $60/15min

$80/30min$120/60min

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Schema Alignment karma.isi.edu

ServicesRelationalSources

{ JSON-LD }

Hierarchical Sources

Schema.org

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Linking Using Image Similarity

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DIG ApplicationsHuman Trafficking Identify victims, prosecute traffickers

Cyber AttacksPredict cyber attacks from dark web data

Firearms TraffickingIdentify illegal sales

PatentsIdentify patent trolls

Securities FraudIdentify fraudulent stocks in the Penny Stock market 16