Overview

Product video
RDFox is the first market-ready knowledge graph designed from the ground up with reasoning in mind. RDFox is a main-memory data store that allows users to efficiently manage graph-structured data represented according to the RDF data model and query that data using the SPARQL 1.1 query language.
RDFox also enables intelligent information processing by providing means for representing and reasoning with domain knowledge in the form of rules and ontologies. Rules in RDFox can be represented using an extension of the Datalog language, whereas ontologies can be represented in the standard OWL 2 language and in the Semantic Web Rule Language, SWRL.
Oxford Semantic Technologies' RDFox product is supported on the AWS Marketplace by Data Lens Labs Ltd.
This offering can only be used for non-production environments. For questions related to full production licenses via a Private Offer, please contact us at https://www.data-lens.com/#contact .
Highlights
- Best-in-class query performance via the W3C Semantic Web Standards SPARQL query language.
- Reasoning over OWL ontologies and rules.
- Incremental materialisation over ontologies and rules.
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Pricing
Dimension | Description | Cost/unit/hour |
---|---|---|
Hours | Container Hours | $4.11 |
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Delivery details
RDFox
- Amazon ECS
- Amazon EKS
- Amazon ECS Anywhere
- Amazon EKS Anywhere
Container image
Containers are lightweight, portable execution environments that wrap server application software in a filesystem that includes everything it needs to run. Container applications run on supported container runtimes and orchestration services, such as Amazon Elastic Container Service (Amazon ECS) or Amazon Elastic Kubernetes Service (Amazon EKS). Both eliminate the need for you to install and operate your own container orchestration software by managing and scheduling containers on a scalable cluster of virtual machines.
Version release notes
Fixed a bug in the implementation of RDFox's proprietary SPARQL extensions for accessing tuple tables that made it possible to bypass named graph access control for read operations (RD-2389). See the security advisory RD-2389 - 6.0 (Medium) for more details.
Fixed a bug in the implementation of the SKOLEM built-in tuple table that prevented some valid SKOLEM identifiers from being decoded correctly (RD-2390). Users should rematerialize any data store that contains a rule with one or more SKOLEM atoms after upgrading to a fixed version. This can be achieved with the remat shell command or an equivalent API call.
Fixed a bug in the implementation of the SQLite data source tuple table, where parameter columns with the iri datatype were not handled correctly (RD-2397).
Additional details
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Documentation can be found at - https://data-lens.atlassian.net/wiki/spaces/DLD/pages/1010728961/RDFox+for+Data+Lens+with+AWS+MarketplaceÂ
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UK business hours support please allow 24 hours https://www.data-lens.com/#contact . We do not currently support refunds, but you can cancel at any time.
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