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452 lines
12 KiB
HTML
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<title>Semantica - Performance Benchmarks</title>
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<h1>Semantica Framework - Performance Benchmarks</h1>
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<h2>1. Processing Speed Benchmarks</h2>
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<h3>1.1 Document Processing Speed</h3>
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<table>
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<tr>
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<th>Document Type</th>
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<th>Size</th>
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<th>Current (docs/hour)</th>
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<th>Target (docs/hour)</th>
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<th>Improvement</th>
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</tr>
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<tr class="current">
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<td>PDF</td>
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<td>10 pages</td>
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<td>1,200</td>
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<td class="target">5,000</td>
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<td class="improvement">+317%</td>
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</tr>
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<tr class="current">
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<td>DOCX</td>
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<td>5 pages</td>
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<td>2,500</td>
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<td class="target">10,000</td>
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<td class="improvement">+300%</td>
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</tr>
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<tr class="current">
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<td>HTML</td>
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<td>Articles</td>
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<td>5,000</td>
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<td class="target">20,000</td>
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<td class="improvement">+300%</td>
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</tr>
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<tr class="current">
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<td>JSON</td>
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<td>Structured</td>
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<td>10,000</td>
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<td class="target">50,000</td>
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<td class="improvement">+400%</td>
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</tr>
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</table>
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<p><strong>Test Environment:</strong> AWS c5.4xlarge (16 vCPU, 32GB RAM), Python 3.11</p>
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<h3>1.2 Entity Extraction Speed</h3>
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<table>
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<tr>
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<th>Model</th>
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<th>Current (entities/sec)</th>
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<th>Target (entities/sec)</th>
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<th>Improvement</th>
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</tr>
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<tr>
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<td>Transformer-based NER</td>
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<td>450</td>
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<td class="target">1,500</td>
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<td class="improvement">+233%</td>
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</tr>
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<tr>
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<td>spaCy NER</td>
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<td>600</td>
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<td class="target">2,000</td>
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<td class="improvement">+233%</td>
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</tr>
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</table>
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<h3>1.3 Triple Generation Speed</h3>
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<table>
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<tr>
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<th>Operation</th>
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<th>Current (triples/sec)</th>
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<th>Target (triples/sec)</th>
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<th>Improvement</th>
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</tr>
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<tr>
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<td>Triple Extraction</td>
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<td>800</td>
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<td class="target">3,000</td>
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<td class="improvement">+275%</td>
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</tr>
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<tr>
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<td>Graph Construction</td>
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<td>500</td>
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<td class="target">2,000</td>
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<td class="improvement">+300%</td>
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</tr>
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</table>
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<h2>2. Accuracy Metrics</h2>
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<h3>2.1 Entity Extraction Accuracy</h3>
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<table>
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<tr>
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<th>Task</th>
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<th>Precision</th>
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<th>Recall</th>
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<th>F1 Score</th>
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<th>Target F1</th>
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</tr>
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<tr>
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<td>Entity Extraction</td>
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<td>0.94</td>
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<td>0.91</td>
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<td>0.92</td>
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<td class="target">0.95</td>
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</tr>
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<tr>
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<td>Relationship Extraction</td>
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<td>0.89</td>
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<td>0.85</td>
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<td>0.87</td>
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<td class="target">0.90</td>
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</tr>
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<tr>
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<td>Event Detection</td>
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<td>0.86</td>
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<td>0.82</td>
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<td>0.84</td>
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<td class="target">0.88</td>
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</tr>
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</table>
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<p><strong>Test Dataset:</strong> CoNLL-2003, ACE 2005, custom domain datasets</p>
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<h3>2.2 Ontology Generation Quality</h3>
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<table>
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<tr>
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<th>Metric</th>
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<th>Current</th>
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<th>Target</th>
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</tr>
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<tr>
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<td>Validation Score (F1)</td>
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<td>0.94</td>
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<td class="target">0.97</td>
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</tr>
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<tr>
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<td>Logical Consistency</td>
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<td>95%</td>
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<td class="target">98%</td>
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</tr>
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<tr>
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<td>Completeness</td>
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<td>88%</td>
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<td class="target">92%</td>
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</tr>
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</table>
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<h3>2.3 Duplicate Detection Accuracy</h3>
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<table>
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<tr>
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<th>Metric</th>
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<th>Current</th>
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<th>Target</th>
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</tr>
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<tr>
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<td>Precision</td>
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<td>0.97</td>
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<td class="target">0.98</td>
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</tr>
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<tr>
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<td>Recall</td>
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<td>0.95</td>
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<td class="target">0.97</td>
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</tr>
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<tr>
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<td>F1 Score</td>
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<td>0.96</td>
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<td class="target">0.98</td>
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</tr>
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</table>
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<h2>3. GraphRAG Performance</h2>
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<table>
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<tr>
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<th>Approach</th>
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<th>Accuracy</th>
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<th>Latency</th>
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<th>Context Quality</th>
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</tr>
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<tr>
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<td>Vector-Only RAG</td>
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<td>70%</td>
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<td>50ms</td>
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<td>⭐⭐⭐</td>
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</tr>
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<tr>
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<td>Graph-Only</td>
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<td>75%</td>
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<td>300ms</td>
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<td>⭐⭐⭐⭐</td>
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</tr>
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<tr class="target">
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<td><strong>Semantica GraphRAG (Hybrid)</strong></td>
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<td><strong>91%</strong></td>
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<td><strong>80ms</strong></td>
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<td><strong>⭐⭐⭐⭐⭐</strong></td>
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</tr>
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</table>
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<p><strong>Improvement:</strong> 30% accuracy increase over vector-only RAG with only 60% latency increase</p>
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<h2>4. Scalability Benchmarks</h2>
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<h3>4.1 Large-Scale Processing</h3>
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<table>
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<tr>
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<th>Dataset Size</th>
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<th>Current Time</th>
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<th>Target Time</th>
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<th>Improvement</th>
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</tr>
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<tr>
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<td>100K documents</td>
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<td>48 hours</td>
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<td class="target">12 hours</td>
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<td class="improvement">4x faster</td>
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</tr>
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<tr>
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<td>1M documents</td>
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<td>480 hours (20 days)</td>
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<td class="target">24 hours</td>
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<td class="improvement">20x faster</td>
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</tr>
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<tr>
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<td>10M documents</td>
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<td>N/A (not feasible)</td>
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<td class="target">240 hours (10 days)</td>
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<td class="improvement">New capability</td>
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</tr>
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</table>
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<h3>4.2 Graph Size Limits</h3>
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<table>
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<tr>
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<th>Metric</th>
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<th>Current</th>
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<th>Target</th>
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</tr>
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<tr>
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<td>Max Nodes (in-memory)</td>
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<td>10M</td>
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<td class="target">100M</td>
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</tr>
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<tr>
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<td>Max Edges (in-memory)</td>
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<td>50M</td>
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<td class="target">500M</td>
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</tr>
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<tr>
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<td>Query Latency (100M nodes)</td>
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<td>N/A</td>
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<td class="target"><500ms</td>
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</tr>
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</table>
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<h2>5. Resource Usage</h2>
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<h3>5.1 Memory Usage</h3>
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<table>
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<tr>
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<th>Operation</th>
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<th>Current (GB)</th>
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<th>Target (GB)</th>
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<th>Optimization</th>
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</tr>
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<tr>
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<td>Processing 10K docs</td>
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<td>16</td>
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<td class="target">8</td>
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<td class="improvement">50% reduction</td>
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</tr>
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<tr>
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<td>Graph storage (1M nodes)</td>
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<td>4</td>
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<td class="target">2</td>
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<td class="improvement">50% reduction</td>
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</tr>
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</table>
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<h3>5.2 CPU Utilization</h3>
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<table>
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<tr>
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<th>Operation</th>
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<th>Current</th>
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<th>Target</th>
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</tr>
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<tr>
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<td>Single-threaded processing</td>
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<td>25% (1 core)</td>
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<td class="target">80% (parallel)</td>
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</tr>
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<tr>
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<td>Distributed processing</td>
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<td>N/A</td>
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<td class="target">Linear scaling</td>
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</tr>
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</table>
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<h2>6. Real-Time Performance Targets</h2>
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<table>
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<tr>
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<th>Metric</th>
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<th>Current</th>
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<th>Target</th>
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</tr>
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<tr>
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<td>Stream Processing Throughput</td>
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<td>N/A (batch only)</td>
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<td class="target">10K events/second</td>
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</tr>
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<tr>
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<td>Update Latency</td>
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<td>N/A</td>
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<td class="target"><100ms</td>
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</tr>
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<tr>
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<td>Query Latency (during updates)</td>
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<td>N/A</td>
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<td class="target"><200ms</td>
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</tr>
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</table>
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<h2>7. Quality Assurance Metrics</h2>
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<h3>7.1 Automated QA Performance</h3>
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<table>
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<tr>
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<th>Metric</th>
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<th>Current (Manual)</th>
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<th>Target (Automated)</th>
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</tr>
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<tr>
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<td>Configuration Time</td>
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<td>4 hours</td>
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<td class="target">5 minutes</td>
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</tr>
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<tr>
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<td>Quality Score Accuracy</td>
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<td>85% (human-validated)</td>
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<td class="target">90%+ (automated)</td>
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</tr>
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<tr>
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<td>Domain Adaptation</td>
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<td>Manual per domain</td>
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<td class="target">Automatic</td>
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</tr>
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</table>
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<h2>8. Comparison with Baselines</h2>
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<h3>8.1 vs. Manual Knowledge Engineering</h3>
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<table>
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<tr>
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<th>Task</th>
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<th>Manual Time</th>
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<th>Semantica Time</th>
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<th>Speedup</th>
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</tr>
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<tr>
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<td>Build KG (1K docs)</td>
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<td>40 hours</td>
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<td>2 hours</td>
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<td class="improvement">20x</td>
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</tr>
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<tr>
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<td>Generate Ontology</td>
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<td>20 hours</td>
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<td>30 minutes</td>
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<td class="improvement">40x</td>
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</tr>
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<tr>
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<td>Entity Resolution</td>
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<td>10 hours</td>
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<td>15 minutes</td>
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<td class="improvement">40x</td>
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</tr>
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</table>
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<h2>9. Test Methodology</h2>
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<h3>9.1 Test Environments</h3>
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<ul>
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<li><strong>Development:</strong> Local machine (16GB RAM, 8 cores)</li>
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<li><strong>Testing:</strong> AWS c5.4xlarge (32GB RAM, 16 vCPU)</li>
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<li><strong>Production Target:</strong> Distributed cluster (multiple nodes)</li>
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</ul>
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<h3>9.2 Test Datasets</h3>
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<ul>
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<li>CoNLL-2003 (NER benchmark)</li>
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<li>ACE 2005 (Relation extraction)</li>
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<li>Custom domain datasets (healthcare, finance, legal)</li>
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<li>Synthetic large-scale datasets (1M+ documents)</li>
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</ul>
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<h2>10. Performance Improvement Roadmap</h2>
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<table>
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<tr>
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<th>Quarter</th>
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<th>Focus Area</th>
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<th>Expected Improvement</th>
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</tr>
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<tr>
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<td>Q1 2025</td>
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<td>Streaming architecture</td>
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<td>Real-time capability (new)</td>
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</tr>
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<tr>
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<td>Q2 2025</td>
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<td>Distributed processing</td>
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<td>5-10x speedup</td>
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</tr>
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<tr>
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<td>Q3 2025</td>
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<td>Optimization & caching</td>
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<td>2-3x additional speedup</td>
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</tr>
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<tr>
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<td>Q4 2025</td>
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<td>Production hardening</td>
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<td>Stability & reliability</td>
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</tr>
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</table>
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<hr>
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<p><em>Document Version: 1.0 | Last Updated: 2025 | Semantica Framework Benchmarks</em></p>
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</body>
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</html>
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