RDFox
High performance knowledge graph database and inference engine
- Semantic reasoning: a rule-based reasoning engine that can create new knowledge from data.
- Knowledge Graph Database: Using the open RDF standard, it is easy to transfer data between RDF triplet stores.
- High performance: memory design, providing results 10-1000 times faster than other graph databases.
- High availability: Ensure that the solution is online 24/7 throughout the year.
- Access Control: Provides complete access control to ensure data security.
- Interpretability: Logical reasoning that ensures the authenticity, accuracy, and auditability of the results.
- Data Import and API: Provides options for importing data from multiple data sources and flexible RESTful APIs.
- Incremental inference: The inference results are updated instantly when data is added or deleted, without the need for reloading.
Product Details
RDBox is a rule-based artificial intelligence technology developed by three professors from the Department of Computer Science at Oxford University, based on decades of research in Knowledge Representation and Reasoning (KRR). Its uniqueness lies in: 1 Powerful AI reasoning ability: RDBox can create knowledge from data like humans, reason based on facts, and ensure the accuracy and interpretability of results. 2. High performance: As the only knowledge graph running in memory, RDBox performs far better than other graph technologies in benchmark tests, capable of handling complex data storage of billions of triplets. 3. Scalable deployment: RDBox has extremely high efficiency and optimized footprint, can be embedded in edge and mobile devices, and run independently as the brain of AI applications. 4. Enterprise level features: including high performance, high availability, access control, interpretability, human like reasoning ability, data import, and API support. 5. Incremental reasoning: RDBox's reasoning function updates instantly when data is added or deleted, without affecting performance or requiring reloading.
