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Team Everlasting Scorpions 
St. Louis – Aug 2014
The Narrative 
• Large set of data 
• Manual/tedious 
• Set up for success 
• Base ontology 
• Visualization/collaboration 
• Export
The Experience 
• Visual/Interactive 
• Editable 
• Collaborative
Architecture
Processor Algorithm
Processor Algorithm 
• Find Domain 
• Get Sentences 
– Domain-specific, trainable Hidden Markov Model 
• Chunk Sentences into Noun/Verb/Object 
Phrases 
– Discrete noun, verb, or object phrases. 
• "The toy is red and blue" 
• The toy (subject) - is (verb) - red (object) - blue (object)
Processor Algorithm 
• Make Triples 
– The toy/is/red 
– The toy/is/blue 
• Use Triples to Synthesize Ontology 
– subject and object became an OWL Entity 
– predicate was used to derive an axiom
Q & A
Appendix
Globalhack II Pitch - August 2014

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Globalhack II Pitch - August 2014

  • 1. Team Everlasting Scorpions St. Louis – Aug 2014
  • 2.
  • 3. The Narrative • Large set of data • Manual/tedious • Set up for success • Base ontology • Visualization/collaboration • Export
  • 4. The Experience • Visual/Interactive • Editable • Collaborative
  • 5.
  • 6.
  • 7.
  • 9.
  • 11. Processor Algorithm • Find Domain • Get Sentences – Domain-specific, trainable Hidden Markov Model • Chunk Sentences into Noun/Verb/Object Phrases – Discrete noun, verb, or object phrases. • "The toy is red and blue" • The toy (subject) - is (verb) - red (object) - blue (object)
  • 12. Processor Algorithm • Make Triples – The toy/is/red – The toy/is/blue • Use Triples to Synthesize Ontology – subject and object became an OWL Entity – predicate was used to derive an axiom
  • 13. Q & A