Overview
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.
Details
Features and programs
Financing for AWS Marketplace purchases
Pricing
Dimension | Description | Cost/unit/hour |
|---|---|---|
Hours | Container Hours | $4.11 |
Vendor refund policy
We do not currently support refunds, but you can cancel at any time.
Legal
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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 crash when reporting errors from a multi-threaded import operation (RD-2069). This issue can only occur when the target data store has its invalid-literal-policy property set to as-string or as-string-silent.
Fixed a crash when evaluating SPARQL updates with attached query monitor (RD-2049).
Fixed an issue with presenting incorrect information about rules and axioms after loading a data store from a binary format (RD-2050, RD-2034).
Fixed an issue with timezone conversions (TO_TIMEZONE, fn:adjust-dateTime-to-timezone, fn:adjust-date-to-timezone, and fn:adjust-time-to-timezone) where the resulting value could incorrectly account for the existing timezone of the provided time/datetime (RD-2055).
Fixed an issue with the persistence of resource specifiers ending |namedgraphs|* (RD-2059). The fault led to these specifiers being persisted as if they ended |namedgraphs|UNDEF. After a restart, this would result in the role to which the privilege was granted, and all of its member roles, being unable to run any SPARQL query involving named graphs. See the instructions associated with the release for details of how to recover servers affected by this issue.
Ensured delta queries cannot be registered with an invalid answer format. (RD-1957).
Additional details
Usage instructions
Documentation can be found at - https://data-lens.atlassian.net/wiki/spaces/DLD/pages/1010728961/RDFox+for+Data+Lens+with+AWS+Marketplace
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Vendor resources
Support
Vendor support
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.
AWS infrastructure support
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