mirror of
https://github.com/semantica-agi/semantica.git
synced 2026-09-09 04:00:52 +00:00
KaifAhmad1
40caedeb52
- Remove all performance metrics, accuracy percentages, and F1 scores - Replace specific numbers with descriptive language - Enhance visual diagrams with modern CSS styling - Update comprehensive features overview with clearer visualizations - Improve use cases with better workflow diagrams - Update architecture diagrams with enhanced visuals - Add visual workflow diagram document
683 lines
25 KiB
HTML
683 lines
25 KiB
HTML
<!DOCTYPE html>
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<html lang="en">
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<head>
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<meta charset="UTF-8">
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<meta name="viewport" content="width=device-width, initial-scale=1.0">
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<title>Semantica - Comprehensive Features Overview</title>
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<style>
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body {
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font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif;
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line-height: 1.6;
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max-width: 1400px;
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margin: 0 auto;
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padding: 20px;
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background-color: #f5f5f5;
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}
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h1 {
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color: #2c3e50;
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border-bottom: 4px solid #3498db;
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padding-bottom: 15px;
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text-align: center;
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font-size: 2.5em;
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}
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h2 {
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color: #34495e;
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margin-top: 40px;
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border-bottom: 3px solid #3498db;
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padding-bottom: 10px;
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font-size: 1.8em;
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}
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h3 {
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color: #555;
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margin-top: 25px;
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font-size: 1.3em;
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}
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.feature-grid {
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display: grid;
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grid-template-columns: repeat(auto-fit, minmax(300px, 1fr));
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gap: 20px;
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margin: 30px 0;
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}
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.feature-card {
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background: white;
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border-radius: 8px;
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padding: 20px;
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box-shadow: 0 2px 10px rgba(0,0,0,0.1);
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border-left: 5px solid #3498db;
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transition: transform 0.2s;
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}
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.feature-card:hover {
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transform: translateY(-5px);
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box-shadow: 0 4px 15px rgba(0,0,0,0.15);
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}
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.feature-card h4 {
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color: #2c3e50;
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margin-top: 0;
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font-size: 1.2em;
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}
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.feature-list {
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list-style: none;
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padding: 0;
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}
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.feature-list li {
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padding: 8px 0;
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border-bottom: 1px solid #eee;
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}
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.feature-list li:before {
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content: "✓ ";
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color: #4caf50;
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font-weight: bold;
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margin-right: 8px;
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}
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.diagram-container {
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background: white;
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padding: 30px;
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border-radius: 8px;
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margin: 30px 0;
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box-shadow: 0 2px 10px rgba(0,0,0,0.1);
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}
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.flow-diagram {
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display: flex;
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flex-direction: column;
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align-items: center;
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gap: 20px;
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}
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.flow-step {
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background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
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color: white;
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padding: 20px 30px;
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border-radius: 8px;
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min-width: 250px;
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text-align: center;
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font-weight: bold;
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box-shadow: 0 4px 15px rgba(0,0,0,0.2);
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}
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.flow-arrow {
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font-size: 2em;
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color: #3498db;
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}
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.module-box {
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background: #e8f4f8;
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border: 2px solid #3498db;
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border-radius: 8px;
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padding: 15px;
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margin: 10px 0;
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}
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.stats-grid {
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display: grid;
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grid-template-columns: repeat(auto-fit, minmax(200px, 1fr));
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gap: 20px;
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margin: 30px 0;
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}
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.stat-card {
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background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
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color: white;
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padding: 25px;
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border-radius: 8px;
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text-align: center;
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box-shadow: 0 4px 15px rgba(0,0,0,0.2);
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}
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.stat-number {
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font-size: 3em;
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font-weight: bold;
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margin: 10px 0;
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}
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.stat-label {
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font-size: 1.1em;
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opacity: 0.9;
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}
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.highlight-box {
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background: #fff3cd;
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border-left: 5px solid #ffc107;
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padding: 20px;
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margin: 20px 0;
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border-radius: 4px;
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}
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.success-box {
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background: #d4edda;
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border-left: 5px solid #28a745;
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padding: 20px;
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margin: 20px 0;
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border-radius: 4px;
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}
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table {
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width: 100%;
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border-collapse: collapse;
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margin: 20px 0;
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background: white;
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box-shadow: 0 2px 10px rgba(0,0,0,0.1);
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}
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th, td {
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padding: 15px;
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text-align: left;
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border-bottom: 1px solid #ddd;
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}
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th {
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background-color: #3498db;
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color: white;
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font-weight: bold;
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}
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tr:hover {
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background-color: #f5f5f5;
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}
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</style>
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</head>
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<body>
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<h1>🧠 Semantica Framework - Comprehensive Features Overview</h1>
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<div class="stats-grid">
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<div class="stat-card">
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<div class="stat-label">Production Modules</div>
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</div>
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<div class="stat-card">
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<div class="stat-label">Data Formats</div>
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</div>
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<div class="stat-card">
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<div class="stat-label">Stage Pipeline</div>
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</div>
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<div class="stat-card">
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<div class="stat-label">Enhanced Accuracy</div>
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</div>
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</div>
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<h2>🎯 Core Capabilities</h2>
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<div class="feature-grid">
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<div class="feature-card">
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<h4>📊 Universal Data Ingestion</h4>
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<ul class="feature-list">
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<li>Extensive file format support</li>
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<li>PDF, DOCX, XLSX, PPTX</li>
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<li>HTML, XML, JSON, CSV</li>
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<li>Email (EML, MSG, MBOX)</li>
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<li>Web scraping & RSS feeds</li>
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<li>Database connectors</li>
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<li>Real-time streaming</li>
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<li>Archive extraction</li>
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</ul>
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</div>
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<div class="feature-card">
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<h4>🧠 Semantic Intelligence</h4>
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<ul class="feature-list">
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<li>Named Entity Recognition</li>
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<li>Relationship Extraction</li>
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<li>Event Detection</li>
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<li>Coreference Resolution</li>
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<li>Triple Extraction (RDF)</li>
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<li>Semantic Analysis</li>
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<li>LLM Enhancement</li>
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<li>Multi-model support</li>
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</ul>
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</div>
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<div class="feature-card">
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<h4>🕸️ Knowledge Graph Construction</h4>
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<ul class="feature-list">
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<li>Automatic graph building</li>
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<li>Entity resolution</li>
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<li>Conflict detection</li>
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<li>Deduplication</li>
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<li>Temporal graphs</li>
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<li>Graph analytics</li>
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<li>Version management</li>
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<li>Multi-source integration</li>
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</ul>
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</div>
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<div class="feature-card">
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<h4>📚 Ontology Generation</h4>
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<ul class="feature-list">
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<li>Multi-stage LLM pipeline</li>
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<li>Automatic class inference</li>
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<li>Property generation</li>
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<li>W3C OWL compliance</li>
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<li>Symbolic validation</li>
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<li>High-quality validation scores</li>
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<li>Hierarchy building</li>
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<li>Quality evaluation</li>
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</ul>
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</div>
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<div class="feature-card">
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<h4>🔗 GraphRAG Engine</h4>
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<ul class="feature-list">
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<li>Hybrid retrieval (vector + graph)</li>
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<li>Significant accuracy improvement</li>
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<li>Graph expansion</li>
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<li>Context building</li>
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<li>Reranking</li>
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<li>Citation support</li>
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<li>Multi-hop reasoning</li>
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<li>Memory integration</li>
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</ul>
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</div>
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<div class="feature-card">
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<h4>🤖 AI Agent Support</h4>
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<ul class="feature-list">
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<li>Context engineering</li>
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<li>Persistent memory</li>
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<li>Entity linking</li>
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<li>Graph-based context</li>
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<li>Tool registry</li>
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<li>Multi-agent coordination</li>
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<li>Semantic routing</li>
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<li>Intent understanding</li>
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</ul>
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</div>
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<div class="feature-card">
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<h4>🔧 Quality Assurance</h4>
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<ul class="feature-list">
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<li>Conflict detection</li>
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<li>Conflict resolution</li>
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<li>Duplicate detection</li>
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<li>Entity merging</li>
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<li>Schema enforcement</li>
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<li>Seed data system</li>
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<li>Quality scoring</li>
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<li>Provenance tracking</li>
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</ul>
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</div>
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<div class="feature-card">
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<h4>📤 Export & Integration</h4>
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<ul class="feature-list">
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<li>RDF/Turtle export</li>
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<li>JSON-LD export</li>
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<li>Neo4j integration</li>
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<li>Vector store adapters</li>
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<li>Triple store support</li>
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<li>Standard formats</li>
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<li>API endpoints</li>
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<li>Plugin system</li>
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</ul>
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</div>
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</div>
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<h2>🔄 Complete Processing Pipeline</h2>
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<div class="diagram-container">
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<div class="flow-diagram">
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<div class="flow-step">📥 Data Ingestion<br/>Extensive Formats</div>
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<div class="flow-arrow">↓</div>
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<div class="flow-step">📄 Document Parsing<br/>Extract Content</div>
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<div class="flow-arrow">↓</div>
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<div class="flow-step">🧹 Normalization<br/>Clean & Standardize</div>
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<div class="flow-arrow">↓</div>
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<div class="flow-step">✂️ Text Chunking<br/>Semantic Splitting</div>
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<div class="flow-arrow">↓</div>
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<div class="flow-step">🔢 Embedding Generation<br/>Vector Representations</div>
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<div class="flow-arrow">↓</div>
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<div class="flow-step">🧠 Semantic Extraction<br/>Entities, Relations, Events</div>
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<div class="flow-arrow">↓</div>
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<div class="flow-step">🕸️ Knowledge Graph Building<br/>Entity Resolution & QA</div>
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<div class="flow-arrow">↓</div>
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<div class="flow-step">📚 Ontology Generation<br/>Multi-Stage Pipeline</div>
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<div class="flow-arrow">↓</div>
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<div class="flow-step">🚀 Application Layer<br/>GraphRAG, Agents, Analytics</div>
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</div>
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</div>
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<h2>📦 Module Architecture</h2>
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<h3>Core & Infrastructure (5 modules)</h3>
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<div class="module-box">
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<strong>semantica.core</strong> - Framework orchestration, configuration, plugin system, lifecycle management
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</div>
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<div class="module-box">
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<strong>semantica.pipeline</strong> - Pipeline construction, execution, validation, parallelism, resource scheduling
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</div>
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<div class="module-box">
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<strong>semantica.utils</strong> - Shared utilities, validators, helpers, logging, exceptions, types
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</div>
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<div class="module-box">
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<strong>semantica.monitoring</strong> - Metrics collection, performance monitoring, health checks, alerts
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</div>
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<div class="module-box">
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<strong>semantica.security</strong> - Access control, authentication, authorization
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</div>
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<h3>Data Processing (5 modules)</h3>
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<div class="module-box">
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<strong>semantica.ingest</strong> - Universal ingestion: files, web, feeds, databases, streams, emails, repositories
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</div>
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<div class="module-box">
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<strong>semantica.parse</strong> - Document parsing: PDF, DOCX, HTML, JSON, CSV, Excel, images, code, media
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</div>
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<div class="module-box">
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<strong>semantica.normalize</strong> - Data normalization: text cleaning, entity normalization, date/number formatting
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</div>
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<div class="module-box">
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<strong>semantica.split</strong> - Document chunking: semantic, structural, sliding window, table-aware
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</div>
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<div class="module-box">
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<strong>semantica.streaming</strong> - Real-time processing: Kafka, RabbitMQ, Kinesis, Pulsar adapters
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</div>
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<h3>Semantic Intelligence (4 modules)</h3>
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<div class="module-box">
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<strong>semantica.semantic_extract</strong> - Entity recognition, relation extraction, event detection, triple extraction, coreference resolution
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</div>
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<div class="module-box">
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<strong>semantica.embeddings</strong> - Multi-modal embeddings: text, image, audio, optimization, context management
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</div>
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<div class="module-box">
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<strong>semantica.ontology</strong> - Multi-stage automatic ontology generation with symbolic validation
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</div>
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<div class="module-box">
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<strong>semantica.vocabulary</strong> - Controlled vocabulary management
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</div>
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<h3>Knowledge Graph (3 modules)</h3>
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<div class="module-box">
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<strong>semantica.kg</strong> - Graph construction with temporal support, entity resolution, analytics, temporal queries
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</div>
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<div class="module-box">
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<strong>semantica.triple_store</strong> - RDF storage: Jena, Blazegraph, Virtuoso, RDF4J adapters, SPARQL queries
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</div>
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<div class="module-box">
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<strong>semantica.vector_store</strong> - Vector storage: FAISS, Pinecone, Weaviate, Qdrant, Milvus adapters
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</div>
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<h3>AI Applications (6 modules)</h3>
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<div class="module-box">
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<strong>semantica.kg_qa</strong> - GraphRAG engine: hybrid retrieval, context building, memory store
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</div>
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<div class="module-box">
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<strong>semantica.context</strong> - Context engineering: graph building, agent memory, context retrieval, entity linking
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</div>
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<div class="module-box">
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<strong>semantica.prompting</strong> - Prompt engineering: template construction, dynamic context injection
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</div>
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<div class="module-box">
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<strong>semantica.agents</strong> - Agent infrastructure: tool registry, multi-agent coordination
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</div>
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<div class="module-box">
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<strong>semantica.reasoning</strong> - Reasoning & inference: deductive, abductive, rule-based, SPARQL reasoning
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</div>
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<div class="module-box">
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<strong>semantica.quality</strong> - Quality assessment engine
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</div>
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<h3>Quality Assurance (5 modules)</h3>
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<div class="module-box">
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<strong>semantica.templates</strong> - Schema template definition and enforcement
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</div>
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<div class="module-box">
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<strong>semantica.seed</strong> - Seed data loading and management
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</div>
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<div class="module-box">
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<strong>semantica.deduplication</strong> - Duplicate detection, entity merging, similarity calculation, clustering
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</div>
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<div class="module-box">
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<strong>semantica.conflicts</strong> - Conflict detection, resolution, analysis, source tracking, investigation
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</div>
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<div class="module-box">
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<strong>semantica.kg_qa</strong> - Knowledge graph quality assessment
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</div>
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<h3>Export & Utilities (1 module)</h3>
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<div class="module-box">
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<strong>semantica.export</strong> - Multi-format export: RDF, JSON-LD, CSV, Graph formats, YAML, reports
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</div>
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<h2>🎯 Key Features Breakdown</h2>
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<h3>1. Universal Data Ingestion</h3>
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<table>
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<tr>
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<th>Category</th>
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<th>Formats Supported</th>
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</tr>
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<tr>
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<td><strong>Documents</strong></td>
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<td>PDF, DOCX, XLSX, PPTX, TXT, RTF, ODT, EPUB, LaTeX, Markdown, RST, AsciiDoc</td>
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</tr>
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<tr>
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<td><strong>Web & Feeds</strong></td>
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<td>HTML, XHTML, XML, RSS, Atom, JSON-LD, RDFa, Sitemap XML</td>
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</tr>
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<tr>
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<td><strong>Structured Data</strong></td>
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<td>JSON, YAML, TOML, CSV, TSV, Excel, Parquet, Avro, ORC</td>
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</tr>
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<tr>
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<td><strong>Communication</strong></td>
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<td>EML, MSG, MBOX, PST archives, Email threads</td>
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</tr>
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<tr>
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<td><strong>Archives</strong></td>
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<td>ZIP, TAR, RAR, 7Z with recursive processing</td>
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</tr>
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<tr>
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<td><strong>Scientific</strong></td>
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<td>BibTeX, EndNote, RIS, JATS XML, PubMed formats</td>
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</tr>
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<tr>
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<td><strong>Databases</strong></td>
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<td>PostgreSQL, MySQL, SQLite, MongoDB, Neo4j</td>
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</tr>
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<tr>
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<td><strong>Streams</strong></td>
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<td>Kafka, RabbitMQ, AWS Kinesis, Apache Pulsar</td>
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</tr>
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</table>
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<h3>2. Semantic Extraction Capabilities</h3>
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<div class="success-box">
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<h4>Entity Recognition</h4>
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<ul>
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<li>Multiple NER models: Transformer-based, spaCy, Stanza, Custom</li>
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<li>Entity types: Person, Organization, Location, Date, Money, Product, Event, and more</li>
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<li>Confidence scoring and span detection</li>
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<li>LLM enhancement for domain-specific entities</li>
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</ul>
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</div>
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<div class="success-box">
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<h4>Relationship Extraction</h4>
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<ul>
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|
<li>Multiple strategies: Rule-based, ML-based, Hybrid, LLM-based</li>
|
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<li>Relationship types: Semantic, temporal, causal, hierarchical</li>
|
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<li>Confidence thresholds and filtering</li>
|
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<li>Context-aware relationship detection</li>
|
|
</ul>
|
|
</div>
|
|
|
|
<div class="success-box">
|
|
<h4>Event Detection</h4>
|
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<ul>
|
|
<li>Event type classification</li>
|
|
<li>Participant identification</li>
|
|
<li>Temporal information extraction</li>
|
|
<li>Event relationship mapping</li>
|
|
</ul>
|
|
</div>
|
|
|
|
<h3>3. Multi-Stage Ontology Generation Pipeline</h3>
|
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<div class="diagram-container">
|
|
<div class="flow-diagram">
|
|
<div class="flow-step">Stage 1: Semantic Network Parsing<br/>Extract domain concepts</div>
|
|
<div class="flow-arrow">↓</div>
|
|
<div class="flow-step">Stage 2: YAML-to-Definition<br/>Transform to class definitions</div>
|
|
<div class="flow-arrow">↓</div>
|
|
<div class="flow-step">Stage 3: Definition-to-Types<br/>Map to OWL types</div>
|
|
<div class="flow-arrow">↓</div>
|
|
<div class="flow-step">Stage 4: Hierarchy Generation<br/>Build taxonomic structures</div>
|
|
<div class="flow-arrow">↓</div>
|
|
<div class="flow-step">Stage 5: TTL Generation<br/>Generate OWL/Turtle syntax</div>
|
|
<div class="flow-arrow">↓</div>
|
|
<div class="flow-step">Stage 6: Symbolic Validation<br/>HermiT/Pellet reasoning</div>
|
|
</div>
|
|
</div>
|
|
|
|
<h3>4. GraphRAG Architecture</h3>
|
|
<div class="highlight-box">
|
|
<h4>Hybrid Retrieval Process</h4>
|
|
<ol>
|
|
<li><strong>Vector Search:</strong> Find top-K similar chunks using embeddings</li>
|
|
<li><strong>Entity Extraction:</strong> Extract entities from retrieved chunks</li>
|
|
<li><strong>Graph Expansion:</strong> Traverse knowledge graph from seed entities (2-3 hops)</li>
|
|
<li><strong>Hybrid Fusion:</strong> Combine vector and graph results using reciprocal rank fusion</li>
|
|
<li><strong>Reranking:</strong> Score and rank final results</li>
|
|
<li><strong>Context Building:</strong> Construct structured context with citations</li>
|
|
<li><strong>Answer Generation:</strong> Generate answer using LLM with graph-enhanced context</li>
|
|
</ol>
|
|
<p><strong>Result:</strong> Significant accuracy improvement over vector-only RAG</p>
|
|
</div>
|
|
|
|
<h3>5. Quality Assurance Features</h3>
|
|
<table>
|
|
<tr>
|
|
<th>Feature</th>
|
|
<th>Description</th>
|
|
<th>Benefit</th>
|
|
</tr>
|
|
<tr>
|
|
<td><strong>Schema Templates</strong></td>
|
|
<td>Define required/optional properties for entities and relationships</td>
|
|
<td>Ensures data consistency and completeness</td>
|
|
</tr>
|
|
<tr>
|
|
<td><strong>Seed Data System</strong></td>
|
|
<td>Load verified data as foundation for knowledge graph</td>
|
|
<td>Builds on trusted sources, improves accuracy</td>
|
|
</tr>
|
|
<tr>
|
|
<td><strong>Duplicate Detection</strong></td>
|
|
<td>Fuzzy matching and similarity calculation for entity deduplication</td>
|
|
<td>Eliminates redundant entities automatically</td>
|
|
</tr>
|
|
<tr>
|
|
<td><strong>Conflict Detection</strong></td>
|
|
<td>Identify conflicting property values from different sources</td>
|
|
<td>Maintains data integrity across sources</td>
|
|
</tr>
|
|
<tr>
|
|
<td><strong>Conflict Resolution</strong></td>
|
|
<td>Multiple strategies: highest confidence, most recent, source priority</td>
|
|
<td>Automatically resolves conflicts intelligently</td>
|
|
</tr>
|
|
<tr>
|
|
<td><strong>Quality Scoring</strong></td>
|
|
<td>Comprehensive metrics: completeness, consistency, accuracy</td>
|
|
<td>Quantifies knowledge graph quality</td>
|
|
</tr>
|
|
<tr>
|
|
<td><strong>Provenance Tracking</strong></td>
|
|
<td>Track source of every entity and relationship</td>
|
|
<td>Enables traceability and auditability</td>
|
|
</tr>
|
|
</table>
|
|
|
|
<h2>🚀 Performance Capabilities</h2>
|
|
|
|
<div class="stats-grid">
|
|
<div class="stat-card">
|
|
<div class="stat-label">High-Throughput Processing</div>
|
|
</div>
|
|
<div class="stat-card">
|
|
<div class="stat-label">Efficient Entity Extraction</div>
|
|
</div>
|
|
<div class="stat-card">
|
|
<div class="stat-label">Rapid Triple Generation</div>
|
|
</div>
|
|
<div class="stat-card">
|
|
<div class="stat-label">High-Quality NER</div>
|
|
</div>
|
|
<div class="stat-card">
|
|
<div class="stat-label">Accurate Relations</div>
|
|
</div>
|
|
<div class="stat-card">
|
|
<div class="stat-label">Excellent Ontology Quality</div>
|
|
</div>
|
|
</div>
|
|
|
|
<h2>🔌 Integration Capabilities</h2>
|
|
|
|
<div class="feature-grid">
|
|
<div class="feature-card">
|
|
<h4>Graph Databases</h4>
|
|
<ul class="feature-list">
|
|
<li>Neo4j</li>
|
|
<li>Amazon Neptune</li>
|
|
<li>Memgraph</li>
|
|
<li>ArangoDB</li>
|
|
</ul>
|
|
</div>
|
|
|
|
<div class="feature-card">
|
|
<h4>Vector Stores</h4>
|
|
<ul class="feature-list">
|
|
<li>Pinecone</li>
|
|
<li>Weaviate</li>
|
|
<li>Qdrant</li>
|
|
<li>Milvus</li>
|
|
<li>FAISS</li>
|
|
</ul>
|
|
</div>
|
|
|
|
<div class="feature-card">
|
|
<h4>RAG Frameworks</h4>
|
|
<ul class="feature-list">
|
|
<li>LangChain</li>
|
|
<li>Haystack</li>
|
|
<li>LlamaIndex</li>
|
|
</ul>
|
|
</div>
|
|
|
|
<div class="feature-card">
|
|
<h4>Triple Stores</h4>
|
|
<ul class="feature-list">
|
|
<li>Apache Jena</li>
|
|
<li>Blazegraph</li>
|
|
<li>Virtuoso</li>
|
|
<li>Eclipse RDF4J</li>
|
|
</ul>
|
|
</div>
|
|
</div>
|
|
|
|
<h2>📊 Use Case Applications</h2>
|
|
|
|
<div class="feature-grid">
|
|
<div class="feature-card">
|
|
<h4>🏢 Enterprise Knowledge Graphs</h4>
|
|
<p>Build unified knowledge graphs from diverse enterprise sources with automatic conflict resolution and deduplication.</p>
|
|
</div>
|
|
|
|
<div class="feature-card">
|
|
<h4>🔬 Research Assistants</h4>
|
|
<p>GraphRAG-powered research assistants with enhanced accuracy for scientific literature analysis.</p>
|
|
</div>
|
|
|
|
<div class="feature-card">
|
|
<h4>🤖 AI Agents</h4>
|
|
<p>Context-aware AI agents with persistent memory and graph-based reasoning capabilities.</p>
|
|
</div>
|
|
|
|
<div class="feature-card">
|
|
<h4>📚 Ontology Engineering</h4>
|
|
<p>Automatic generation of W3C-compliant ontologies from unstructured content, significantly faster than manual engineering.</p>
|
|
</div>
|
|
|
|
<div class="feature-card">
|
|
<h4>🔄 Data Integration</h4>
|
|
<p>Multi-source data integration with automatic conflict resolution and quality assurance.</p>
|
|
</div>
|
|
|
|
<div class="feature-card">
|
|
<h4>🔍 Semantic Search</h4>
|
|
<p>Graph-enhanced semantic search with relationship traversal and context expansion.</p>
|
|
</div>
|
|
</div>
|
|
|
|
<hr>
|
|
<p style="text-align: center; color: #666; margin-top: 40px;">
|
|
<em>Document Version: 2.0 | Semantica Framework - Comprehensive Features Overview | Last Updated: 2025</em>
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</p>
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