Open Access Knowledge Distiller (OAKD)

Open Access Knowledge Distiller (OAKD) is a robust, production-grade engine designed to transform research papers and technical documents into structured, verifiable knowledge graphs. This innovative tool excels in adversarial environments and adheres to strict regulatory scrutiny, offering comprehensive capabilities for extracting and organizing crucial knowledge from complex documents.

Overview

At its core, OAKD focuses on the following critical features:

• Epistemic Stability: Ensures consistent results through deterministic processing, which guarantees that the same input produces the same structured graph, fostering trust in the derived knowledge.
• Complete Provenance: Each component of the knowledge graph can be traced back to its source document through secure hash chains, ensuring transparency and reliability.
• Formal Invariants: OAKD enforces strict guarantees about knowledge integrity, enabling users to trust the outputs.
• Security Hardening: OAKD incorporates audits, rate limiting, and personal data masking to maintain data protection and security.
• Regulatory Compliance: Features robust GDPR controls, consent management mechanisms, and automatic compliance reports, facilitating adherence to legal standards.

Key Differentiators

OAKD differentiates itself with cutting-edge features:

• Deterministic Processing: Provides reliability through reproducible results.
• Complete Provenance Tracking: Documents the lineage of knowledge components.
• Checkpoint/Replay Mechanisms: Allows users to resume and replay failed processes seamlessly.
• Version Management: Maintains backward compatibility for scoring models and graph schemas alongside graph diffing capabilities.
• Score Drift Detection: Identifies and tracks stability in confidence scores over time.

Use Cases

OAKD can be applied across various fields including but not limited to:

• Scientific Transparency: Verifies research claims with detailed provenance.
• Policy Research Analysis: Extracts evidence thoroughly with complete audit trails.
• Legislative Drafting Assistance: Supports evidence-based policymaking by linking research to legislative proposals.
• Public-Access Research Synthesis: Facilitates reproducible construction of knowledge graphs from diverse studies.

Core Components

• Document Parser: Parses PDFs into structured segments, extracting essential elements like title, abstract, authorship, and sections.
• Claim Extractor: Identifies verifiable claims using linguistic analysis and context-aware techniques.
• Citation Linker: Links claims to their supporting references across multiple formats, enhancing the traceability of evidence.
• Confidence Scorer: Assigns confidence scores based on citation support and linguistic patterns, indicating the reliability of claims.
• Graph Builder: Constructs knowledge graphs, enabling export in formats such as GEXF, GraphML, JSON, and GML.

Documentation and Community Support

Comprehensive documentation is available covering:

• Epistemic Stability Guide
• Production Security & Operations
• Architecture Documentation

The OAKD community welcomes contributions and encourages users to engage through GitHub issues or pull requests, aiding in the continuous evolution of the project.