๐Ÿ•ธ๏ธ Knowledge Graph Oracle

"แผฉ ฮœฮฎฮดฮตฮนฮฑ ฮณฮฝแฟถฯƒฮนฮฝ ฮตแผฐฯ‚ ฮดฮฏฮบฯ„ฯ…ฮฑ ฮผฮตฯ„ฮฑฮผฮฟฯฯ†ฮฟแฟ–"
"Medea transforms knowledge into networks"

Transform ancient texts into structured RDF knowledge graphs with enhanced semantic network analysis

๐Ÿ”ฎ Extraction Mode

โœจ Enhanced Analysis Options

๐ŸŽฏ Extraction Options

๐Ÿ“„ Output Format

๐Ÿค– AI Model Selection
Current Priority: Gemini โ†’ OpenAI โ†’ Anthropic
Available Models: 7 models across 3 providers

โš™๏ธ Processing

15000 characters
Minimum 50 characters for meaningful extraction
๐Ÿ“

Upload Ancient Text File

Click to select or drag & drop a text file
Supported: .txt, .md, .rtf (max 500k characters)

๐Ÿ”ฎ Extraction Mode

๐Ÿ“„ Export Format

๐Ÿ“š Enhanced Knowledge Graph Examples

๐Ÿ›๏ธ Roman Battle

"In the year 31 BC, Augustus defeated Mark Antony at the Battle of Actium. This victory established Augustus as the first Roman Emperor and ended the Roman Republic."

Expected: 5 entities, 8 relations, battle-centered network

๐Ÿ“š Greek Philosophy

"Socrates taught Plato in Athens. Plato founded the Academy around 387 BC. Aristotle was a student of Plato and later tutored Alexander the Great."

Expected: 6 entities, 10 relations, teacher-student clusters

๐Ÿ’ก Tips for Better Extraction

  • Include specific dates and places - "31 BC at Actium" vs "long ago"
  • Use proper names - "Augustus" vs "the emperor"
  • Describe relationships clearly - "X defeated Y" vs "there was a battle"
  • Provide context - Include background information for better understanding
  • Use complete sentences - Fragments are harder to process accurately
  • Enable semantic network analysis - Get insights into entity relationships and clusters

๐Ÿ•ธ๏ธ Extracting Knowledge Graph

The Oracle is analyzing your ancient text and weaving knowledge into networks...