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| <title>Research Paper Metadata Database</title> | |
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| <div class="text-6xl mb-4">📚</div> | |
| <h1 class="text-5xl font-bold mb-4">Research Paper Metadata Database</h1> | |
| <p class="text-xl opacity-90 mb-6">Centralized Metadata Repository for Scientific Research</p> | |
| <p class="text-lg opacity-75 max-w-3xl mx-auto mb-6"> | |
| A structured metadata repository designed to enable AI-powered visualization and analysis | |
| of research structure with the goal of expanding research in interesting, useful, and practical ways. | |
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| <a href="https://storage.googleapis.com/regal-scholar-453620-r7-podcast-storage/papers-database-table.html" | |
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| 🚀 View Working Prototype → | |
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| <!-- Prior Work & Research Contributions --> | |
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| <h2 class="text-3xl font-bold text-gray-900 mb-6">📚 Prior Work & Research Contributions</h2> | |
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| <h3 class="text-xl font-semibold text-gray-900 mb-4">Overview</h3> | |
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| The Research Paper Metadata Database represents <strong>prior work</strong> that demonstrates the creation of a structured | |
| metadata repository for scientific research papers. This project establishes a foundation for using AI tools to visualize | |
| and analyze the structure of scientific research, enabling systematic exploration of research patterns, citation networks, | |
| and interdisciplinary connections. | |
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| <h3 class="text-lg font-semibold text-gray-900 mb-3">🔬 Research Contributions</h3> | |
| <ul class="text-sm text-gray-700 space-y-2"> | |
| <li>• <strong>Structured Metadata Repository:</strong> Centralized database of research paper metadata</li> | |
| <li>• <strong>AI-Powered Preprocessing:</strong> LLM-based entity extraction and annotation</li> | |
| <li>• <strong>Citation Network Analysis:</strong> Cross-reference linking and relationship mapping</li> | |
| <li>• <strong>Integration Framework:</strong> Designed for CopernicusAI Knowledge Engine integration</li> | |
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| <h3 class="text-lg font-semibold text-gray-900 mb-3">⚙️ Technical Achievements</h3> | |
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| <li>• <strong>JSON-Based Storage:</strong> Structured metadata format for programmatic access</li> | |
| <li>• <strong>Entity Extraction:</strong> Automated extraction of genes, proteins, compounds, equations</li> | |
| <li>• <strong>Quality Assessment:</strong> Automated quality scoring and relevance metrics</li> | |
| <li>• <strong>API Architecture:</strong> RESTful API design for external access</li> | |
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| <h3 class="text-lg font-semibold text-gray-900 mb-3">🎯 Position Within CopernicusAI Knowledge Engine</h3> | |
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| The Research Paper Metadata Database serves as a <strong>core data infrastructure component</strong> of the CopernicusAI Knowledge Engine, providing: | |
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| <ul class="text-gray-700 space-y-1"> | |
| <li>• Foundation for knowledge graph construction</li> | |
| <li>• Integration with AI podcast generation</li> | |
| <li>• Support for GLMP source references</li> | |
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| <li>• Science Video Database integration</li> | |
| <li>• Programming Framework support</li> | |
| </ul> | |
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| This work establishes a proof-of-concept for AI-assisted research metadata management, demonstrating how structured data | |
| can enable systematic analysis and visualization of scientific research patterns. | |
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| <!-- Project Goals --> | |
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| <h2 class="text-3xl font-bold text-gray-900 mb-6">🎯 Project Goals</h2> | |
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| This project creates a database of scientific research paper metadata for the purpose of: | |
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| <ul class="text-gray-700 space-y-2"> | |
| <li>• Using AI tools to visualize and analyze the structure of scientific research</li> | |
| <li>• Expanding research in interesting, useful, and practical ways</li> | |
| <li>• Enabling systematic exploration of research patterns and connections</li> | |
| <li>• Supporting knowledge graph construction and semantic search</li> | |
| </ul> | |
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| <!-- Technical Architecture --> | |
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| <h2 class="text-3xl font-bold text-gray-900 mb-6">🔧 Technical Architecture</h2> | |
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| <h3 class="text-lg font-semibold text-gray-800 mb-3">Metadata Structure</h3> | |
| <ul class="text-sm text-gray-600 space-y-1"> | |
| <li>• DOI, arXiv ID, publication info</li> | |
| <li>• Abstracts & key findings</li> | |
| <li>• Extracted entities</li> | |
| <li>• Citation networks</li> | |
| <li>• Paradigm shift indicators</li> | |
| <li>• Quality scores</li> | |
| </ul> | |
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| <h3 class="text-lg font-semibold text-gray-800 mb-3">AI-Powered Preprocessing</h3> | |
| <ul class="text-sm text-gray-600 space-y-1"> | |
| <li>• LLM-based entity extraction</li> | |
| <li>• Automatic categorization</li> | |
| <li>• Keyword extraction</li> | |
| <li>• Citation tracking</li> | |
| <li>• Quality assessment</li> | |
| </ul> | |
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| <h3 class="text-lg font-semibold text-gray-800 mb-3">Integration Features</h3> | |
| <ul class="text-sm text-gray-600 space-y-1"> | |
| <li>• DOI/arXiv ID resolution</li> | |
| <li>• Cross-reference linking</li> | |
| <li>• Podcast-to-paper tracking</li> | |
| <li>• Search & query capabilities</li> | |
| <li>• API access</li> | |
| </ul> | |
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| <!-- Related Projects --> | |
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| <h2 class="text-3xl font-bold text-gray-900 mb-6 text-center">🔗 Related Projects</h2> | |
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| <h3 class="text-xl font-semibold text-gray-900 mb-3">🔬 CopernicusAI</h3> | |
| <p class="text-gray-600 mb-4"> | |
| Main knowledge engine integrating metadata with AI podcasts and research synthesis. | |
| </p> | |
| <a href="https://huggingface.co/spaces/garywelz/copernicusai" | |
| class="text-blue-600 hover:text-blue-700 font-semibold" | |
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| Visit CopernicusAI → | |
| </a> | |
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| <h3 class="text-xl font-semibold text-gray-900 mb-3">🧬 GLMP</h3> | |
| <p class="text-gray-600 mb-4"> | |
| Genome Logic Modeling Project using metadata for source paper references. | |
| </p> | |
| <a href="https://huggingface.co/spaces/garywelz/glmp" | |
| class="text-blue-600 hover:text-blue-700 font-semibold" | |
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| Explore GLMP → | |
| </a> | |
| </div> | |
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| <h3 class="text-xl font-semibold text-gray-900 mb-3">🛠️ Programming Framework</h3> | |
| <p class="text-gray-600 mb-4"> | |
| Universal process analysis tool that can utilize metadata for research analysis. | |
| </p> | |
| <a href="https://huggingface.co/spaces/garywelz/programming_framework" | |
| class="text-blue-600 hover:text-blue-700 font-semibold" | |
| target="_blank" rel="noopener noreferrer"> | |
| Explore Framework → | |
| </a> | |
| </div> | |
| <div class="bg-white rounded-lg shadow-md p-6 card-hover"> | |
| <h3 class="text-xl font-semibold text-gray-900 mb-3">🎬 Science Video Database</h3> | |
| <p class="text-gray-600 mb-4"> | |
| Video content management with potential metadata linking. | |
| </p> | |
| <a href="https://huggingface.co/spaces/garywelz/sciencevideodb" | |
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| target="_blank" rel="noopener noreferrer"> | |
| Visit Video Database → | |
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| </div> | |
| </div> | |
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| <!-- How to Cite This Work --> | |
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| <h2 class="text-3xl font-bold text-gray-900 mb-6">How to Cite This Work</h2> | |
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| <p class="text-gray-800 font-mono text-lg leading-relaxed mb-4"> | |
| Welz, G. (2024–2025). <em>Research Paper Metadata Database</em>.<br> | |
| Hugging Face Spaces. https://huggingface.co/spaces/garywelz/metadata_database | |
| </p> | |
| </div> | |
| <div class="bg-blue-50 rounded-lg p-4"> | |
| <p class="text-gray-700 mb-2"> | |
| This project serves as infrastructure for AI-assisted research analysis, enabling systematic visualization and exploration of scientific research patterns through structured metadata management. | |
| </p> | |
| <p class="text-gray-700 font-semibold"> | |
| The Research Paper Metadata Database is designed as infrastructure for AI-assisted science, providing the foundational data layer for knowledge graph construction and semantic search capabilities within the CopernicusAI Knowledge Engine. | |
| </p> | |
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| <p class="text-sm opacity-75">Part of the CopernicusAI Knowledge Engine</p> | |
| <p class="text-xs opacity-50 mt-4">© 2025 Gary Welz. All rights reserved.</p> | |
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