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Building and Using a Knowledge Graph to Combat Human Trafficking
Published on Nov 10, 20152827 Views
There is a huge amount of data spread across the web and stored in databases that we can use to build knowledge graphs. However, exploiting this data to build knowledge graphs is difficult due to th
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Chapter list
Building and Using a Knowledge Graph to Combat Human Trafficking 00:00
Human-Trafficking is Modern-Day Slavery00:12
Human Trafficking Statistics00:18
Find the locations - 100:55
Find the locations - 201:14
Find the locations - 301:53
Find the locations - 402:16
Find the locations - 503:00
Find the locations - 603:16
Inspired by David Karger´s Talk03:31
DIG - Reusable technology for building domain-specific search04:40
DIG - Web Carwling05:45
DIG - Extraction06:18
Semi-Structured Extraction06:22
Text Extraction06:53
DIG - Mapping to Ontology07:33
Mapping to Ontology07:37
Ontology07:45
Karma: Mapping Data to Ontologies08:18
Example of the Model for One of the Extractions08:56
Generate RDF10:37
68 Million Documents Mapped to the Ontology10:40
Karma Connects Graphs on Strong Attributes10:41
DIG - Entity Linking11:19
Using Text Similarity to Connect the Dots11:23
Using Image Similarity to Connect the Dots12:04
Connecting Nodes Using All Attributes - 112:30
Connecting Nodes Using All Attributes - 213:00
DIG - Knowledge Graph Deployment13:08
SPARQL vs ElasticSearch13:15
Create Unified Database14:34
One Index Per Main Class14:41
Offers As Roots14:51
Adult Service As Roots15:07
ElasticSearch Data Model15:18
DIG - Query & Visualization15:33
DIG - User Interface - 115:34
DIG - User Interface - 215:46
DIG - User Interface - 315:50
DIG - User Interface - 415:52
Impact16:13
Deployed to Law Enforcement and NGOs16:15
Conclusions16:37
We Are Hiring 17:34