RDFox

Additional features

Knowledge Graph & Semantic Reasoning Engine

A highly performant engine that builds and manages knowledge graphs, enabling semantic reasoning.

AI Reasoning Engine

Mirrors human reasoning principles, inferring new knowledge exclusively from factual data, ensuring accuracy, truth, and explainability for AI applications.

Incremental Reasoning

Dynamically applies consequences of rules to the database in real-time as data is added, changed, or removed, without needing a restart or re-analyzing the entire dataset.

Automated Materialization

Automatically materializes (stores) inferred knowledge and data directly into the knowledge graph, eliminating the need for manual updates via queries.

Negation as Failure

Allows inference of new knowledge based on data that does not exist in the knowledge graph, providing more powerful rules-based AI capabilities for handling absent knowledge.

Aggregation Capabilities

Performs numeric value calculations across groups of data in the knowledge graph, automatically materializing these as new knowledge.

Highly-Optimized In-Memory Operation

Specifically designed to run data in RAM, leveraging faster data transfer speeds (10-1000x faster than SSDs) for rapid loading and query times (milliseconds for billions of triples).

High Performance (Benchmarks)

Consistently outperforms competitors by orders of magnitude in benchmark tests, processing 2-3 million inferences of new facts per second.

Scalability

Built to handle massive knowledge bases and datasets with billions of deeply interconnected facts, as well as tiny on-device applications.

High Availability

Supports replication of knowledge and data changes across multiple running RDFox servers to ensure uninterrupted service in case of an outage.

Deployment Flexibility (On-Cloud)

Can be deployed on cloud instances to manage large datasets.

Deployment Flexibility (On-Premises)

Can be run smoothly on-premises for development or convenience.

Deployment Flexibility (On-Device)

Designed for greater security, mobility, and in-situ analytics, installable on edge and mobile devices.

Deployment Flexibility (On-Edge)

Technology for driving the next generation of the Internet of Things (IoT) on edge devices.

Lightweight Application

Features a highly optimized memory footprint, allowing deployment on resource-constrained devices like Raspberry Pi or microcontrollers.

Expert Knowledge Engineer Access

Provides access to their expert knowledge engineers as standard, supporting projects.

Open RDF Standard (Triple Store)

Uses an inbuilt graph database based on the open RDF standard, offering flexibility and reducing vendor lock-in.

SPARQL 1.1 Support

Supports SPARQL 1.1 for querying the knowledge graph.

Datalog and SWRL Rule Support

Uses Datalog and SWRL for defining reasoning rules.

OWL 2 (RL) Ontology Support

Supports OWL 2 (RL) for defining ontologies.

SHACL Validation Support

Used for validating data against defined shapes.

Handles Billions of Triples

Capable of managing extremely large datasets while maintaining performance.

RESTful and Java APIs

Accessible via industry-standard RESTful or Java Application Programming Interfaces.

Multiple Import/Export Formats

Supports various data formats for import and export, including CSV, JSON, N-Triples, Turtle, TriG, and OWL 2 Functional-Style Syntax.

Semantic Search and Recommendations Application

Delivers accurate search results and relevant recommendations.

Rules and Regulations Compliance Application

Provides instant decisions and detection based on complex rules and patterns for regulated industries (e.g., financial services, healthcare) to combat fraud and ensure compliance.

Complex Product Configurations Application

Delivers immediate and optimal solutions for matching compatible product configurations in real-time for manufacturers and retailers.

Autonomous Vehicles Application

Provides the "brain" for autonomous systems (cars, trucks, aircraft, boats) to make correct and immediate decisions, offering explainable and accurate platforms.

Data Integration and Analysis Application

Enables rapid data integration and advanced analysis to find valuable knowledge in large datasets.