RDFox

RDFox, developed by Oxford Semantic Technologies, is a high-performance knowledge graph and rules-based AI engine designed to deliver fast and accurate answers to your most complex data questions. It solves the critical challenge of transforming vast, interconnected data and specialized knowledge into actionable insights by leveraging patented, logic-based reasoning. If your organization requires real-time, explainable, and verifiable AI results across sectors, RDFox provides the necessary speed and accuracy.

Key Features

RDFox integrates advanced knowledge representation and reasoning (KRR) techniques with industry-leading performance to empower complex decision-making and data analysis.

⚡️ Unmatched In-Memory Performance

RDFox is designed and optimized to operate entirely in-memory, leveraging faster data transfer speeds than traditional disk-based databases. This unique architecture ensures RDFox is the world’s most performant knowledge graph and semantic reasoning engine, consistently delivering results 10 to 1000 times faster than competing graph databases, often reducing answer times from hours to milliseconds.

🧠 Logic-Based Reasoning Engine with Explainability

Built from the ground up as a knowledge-based reasoning engine, RDFox provides powerful reasoning for AI applications where accuracy and trust are essential. Unlike other AI approaches, RDFox is logic-based, guaranteeing 100% accuracy, truth, and auditability in all inferred knowledge, offering complete explainability into every conclusion drawn.

🔄 Incremental and Real-Time Updates

The system supports Incremental Reasoning, applying the consequences of rules-based AI to the knowledge graph in real-time. When data is added or removed, RDFox updates the inferred knowledge immediately without impacting performance or requiring a system reload. This ensures your knowledge graph always reflects the current state of your data.

🔗 Robust Data Integration and Standards Support

RDFox uses the open RDF standard for its knowledge graph structure, simplifying data transfer. It supports industry-standard knowledge representation languages like OWL (Web Ontology Language) and extends the SPARQL query language to enable complex queries, aggregation, and advanced rules like Negation as Failure.

🔬 Powerful Knowledge Deduction

RDFox excels at Knowledge Deduction, automatically materializing new knowledge based on established facts and rules. This includes advanced capabilities like Negation as Failure, allowing the system to infer new knowledge based on the absence of data, significantly enhancing rules-based AI capabilities.

Use Cases

RDFox’s speed, accuracy, and deployment flexibility enable organizations to tackle challenges previously deemed too complex or time-consuming for traditional graph databases.

1. Semantic Search and Personalized Recommendations

You can utilize RDFox to power highly accurate and fast semantic search engines for both consumers and business experts. By integrating diverse product information and user history into a single knowledge graph, RDFox delivers precise product or information recommendations, even supporting secure, personalized recommendations on mobile or edge devices due to its lightweight footprint.

2. Rules and Regulations Compliance (Auditability)

In highly regulated industries, RDFox ensures that compliance checks are fast, accurate, and fully auditable. Because its reasoning is logic-based, you can trace exactly why a decision or conclusion was reached. This is invaluable for inward-facing regulation compliance, allowing organizations to verify adherence to complex rule sets instantly.

3. Edge Computing and the Internet of Things (IoT)

As the only enterprise-grade reasoner that can be embedded on edge and mobile devices, RDFox drives the next generation of IoT applications. Its incredibly lightweight application and optimized memory footprint allow complex reasoning and real-time decision-making to occur directly on the device or at the edge, supporting applications like autonomous vehicles where latency is unacceptable.

Unique Advantages

RDFox is not just another graph database; it represents a significant advancement in knowledge representation and reasoning technology, backed by decades of research.

• World-Class Origin and Patented Technology: RDFox spun out of decades of research into Knowledge Representation and Reasoning (KRR) at the University of Oxford. It utilizes patented techniques developed by leading experts, guaranteeing its industry-leading speed and performance.

• Guaranteed Accuracy: Unlike probabilistic or statistical AI models, RDFox is fundamentally logic-based, guaranteeing 100% accuracy in its deductions. This is essential for mission-critical systems where errors cannot be tolerated.

• Unrivaled Performance: Through its unique in-memory architecture and optimization, RDFox consistently reduces answer times from what might take hours or days in competing solutions down to milliseconds, fundamentally changing what is possible in real-time data analysis.

• Deployment Flexibility: RDFox can be deployed across the entire technology spectrum—from the largest cloud instances and on-premises setups down to on-device and edge deployment—due to its highly optimized and lightweight design.

Conclusion

RDFox provides the speed, accuracy, and explainability required to unlock powerful insights from complex data, moving beyond simple data storage to active knowledge deduction. By leveraging patented, in-memory reasoning technology, you gain verifiable answers instantly, empowering better decision-making across your enterprise.

Start with a free RDFox demo and explore how this advanced knowledge graph can accelerate your data integration and reasoning projects today.