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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.
</p>
<div class="mt-6">
<a href="https://storage.googleapis.com/regal-scholar-453620-r7-podcast-storage/papers-database-table.html"
target="_blank"
rel="noopener noreferrer"
class="inline-block bg-white text-blue-600 font-semibold px-8 py-4 rounded-lg hover:bg-blue-50 transition-colors shadow-lg hover:shadow-xl">
🚀 View Working Prototype →
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</header>
<!-- Prior Work & Research Contributions -->
<section class="max-w-7xl mx-auto px-4 sm:px-6 lg:px-8 py-12">
<div class="bg-gradient-to-r from-blue-50 to-indigo-50 rounded-xl shadow-lg p-8 mb-8">
<h2 class="text-3xl font-bold text-gray-900 mb-6">📚 Prior Work & Research Contributions</h2>
<div class="bg-white rounded-lg p-6 mb-6">
<h3 class="text-xl font-semibold text-gray-900 mb-4">Overview</h3>
<p class="text-gray-700 mb-4">
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.
</p>
</div>
<div class="grid md:grid-cols-2 gap-6 mb-6">
<div class="bg-white rounded-lg p-6">
<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>
</ul>
</div>
<div class="bg-white rounded-lg p-6">
<h3 class="text-lg font-semibold text-gray-900 mb-3">⚙️ Technical Achievements</h3>
<ul class="text-sm text-gray-700 space-y-2">
<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>
</ul>
</div>
</div>
<div class="bg-white rounded-lg p-6">
<h3 class="text-lg font-semibold text-gray-900 mb-3">🎯 Position Within CopernicusAI Knowledge Engine</h3>
<p class="text-gray-700 mb-3">
The Research Paper Metadata Database serves as a <strong>core data infrastructure component</strong> of the CopernicusAI Knowledge Engine, providing:
</p>
<div class="grid md:grid-cols-2 gap-4 text-sm mb-3">
<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>
</ul>
<ul class="text-gray-700 space-y-1">
<li>• Science Video Database integration</li>
<li>• Programming Framework support</li>
</ul>
</div>
<p class="text-gray-600 text-sm italic">
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.
</p>
</div>
</div>
</section>
<!-- Project Goals -->
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<h2 class="text-3xl font-bold text-gray-900 mb-6">🎯 Project Goals</h2>
<p class="text-gray-700 mb-4">
This project creates a database of scientific research paper metadata for the purpose of:
</p>
<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>
</div>
</section>
<!-- Technical Architecture -->
<section class="max-w-7xl mx-auto px-4 sm:px-6 lg:px-8 py-8">
<div class="bg-white rounded-xl shadow-lg p-8">
<h2 class="text-3xl font-bold text-gray-900 mb-6">🔧 Technical Architecture</h2>
<div class="grid md:grid-cols-3 gap-6">
<div>
<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>
</div>
<div>
<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>
</div>
<div>
<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>
</div>
</div>
</div>
</section>
<!-- Related Projects -->
<section class="max-w-7xl mx-auto px-4 sm:px-6 lg:px-8 py-8">
<h2 class="text-3xl font-bold text-gray-900 mb-6 text-center">🔗 Related Projects</h2>
<div class="grid md:grid-cols-2 gap-6">
<div class="bg-white rounded-lg shadow-md p-6 card-hover">
<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"
target="_blank" rel="noopener noreferrer">
Visit CopernicusAI →
</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">🧬 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"
target="_blank" rel="noopener noreferrer">
Explore GLMP →
</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">🛠️ 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"
class="text-blue-600 hover:text-blue-700 font-semibold"
target="_blank" rel="noopener noreferrer">
Visit Video Database →
</a>
</div>
</div>
</section>
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<div class="bg-white rounded-xl shadow-lg p-8">
<h2 class="text-3xl font-bold text-gray-900 mb-6">How to Cite This Work</h2>
<div class="bg-gray-50 rounded-lg p-6 mb-4">
<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>
</div>
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<p class="text-lg font-semibold mb-2">Research Paper Metadata Database</p>
<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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