What is RDFox?
RDFox is a high-performance knowledge graph and reasoning engine developed by Oxford University. It excels in creating new knowledge from data through rule-based reasoning, ensuring accurate and explainable results. RDFox can handle complex datasets with billions of triples efficiently.
Key Features:
Semantic Reasoning: Uses rules to infer new knowledge.
Knowledge Graph Database: Stores data in RDF format, enabling easy data transfer.
High Performance: Offers up to 10-1000 times faster performance compared to other graph databases.
High Availability: Ensures continuous operation.
Access Control: Provides robust data security.
Explainability: Ensures results are transparent and verifiable.
Data Import & API: Supports importing data from various sources and offers flexible APIs.
Incremental Inference: Updates results instantly as data changes.
Who Can Use It?
RDFox is ideal for applications requiring high performance, reliability, and explainable reasoning. Examples include:
Financial services for compliance decisions.
Healthcare for rapid decision support.
Manufacturing and retail for real-time product configuration.
Autonomous vehicles for quick decision-making.
Use Cases:
Dow Jones: Achieved real-time use cases with RDFox's triple store.
agnos.ai: Reduced request time from minutes to under a second.
Inserm: Decreased processing backlog from days to minutes.
Getting Started:
1. Register at https://www.oxfordsemantic.tech/ and start your free trial.
2. Download and install RDFox according to your deployment needs (cloud or on-premise).
3. Import data using provided APIs or import options.
4. Configure access control settings.
5. Build your knowledge graph using RDFox’s semantic reasoning.
6. Perform inference and analysis with RDFox’s powerful reasoning engine.
7. Monitor and optimize system performance.
8. Get support from the resources center or contact the support team if needed.