Sold by: OpenLink Software
Deployed on AWS
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Latest DBpedia 2025-06 Snapshot deployed via a Virtuoso 08.03.3334-pthreads instance as of October 28th 2025.
Overview
DBpedia Snapshot: Latest DBpedia Snapshot derived from Wikipedia
Virtuoso 08.03.3334-pthreads as of October 28th 2025. This is a maintenance release that includes enhancements and minor bug fixes across:
- New OpenLink AI Layer (OPAL) for conversational interaction with DBpedia
- Virtuoso DBMS Engine Core
- Web Document, Data, and Application Server
- SPARQL Query Processor
- Data Transformation Middleware Layer
- Faceted Search and Browsing
- Virtuoso Authentication Layer (VAL)
- HTML-based Admin Interface
- R2RML Processor
This release further strengthens Virtuoso as a foundation for advanced AI solutions, including Smart Agents and Assistants. It enables modern conversational interfaces to software functionality, whether native to Virtuoso or integrated via third-party Web Services described by OpenAPI-compliant JSON or YAML documents. This powerful functionality supports use cases such as AI Agents delivering robust Customer, Partner, and Prospect support, informed by SQL-, SPARQL-, and GraphQL-accessible data spaces as part of RAG or GraphRAG processing pipelines, whether local or external to a Virtuoso instance.
Highlights
- Preconfigured DBpedia instance ready for immediate use
- High-Performance, Secure, and Scalable DBpedia Knowledge Graph derived from Wikipedia content.
- Exploit SPARQL and/or SQL interactions with a Knowledge Graph comprising a good chunk of mankind's knowledge as it exists in Wikipedia
Details
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Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Ubuntu 24.04
Deployed on AWS
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Dimension | Cost/hour |
|---|---|
r5.xlarge Recommended | $0.435 |
m5zn.2xlarge | $0.87 |
m5zn.6xlarge | $1.739 |
x1e.xlarge | $0.435 |
m5zn.3xlarge | $0.87 |
x1e.32xlarge | $8.873 |
m3.xlarge | $0.435 |
r4.4xlarge | $1.739 |
m4.xlarge | $0.435 |
r5.2xlarge | $0.87 |
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Delivery details
64-bit (x86) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Version release notes
This is a maintenance release comprising the new DBpedia Snapshot 2025-06 release deployed via Virtuoso 08.03.3334-pthreads instance as of 2025-10-28.
Virtuoso releated enhancements include:
- ACME Protocol Support for simplified HTTPS setup and use for the native HTTP Server functionality realm
- Native GraphQL Support -- adds support for Mutations and Subscriptions
- Database Encryption at Rest
- 64-Bit Prefixes that enable scaling single DBMS instances up to 100 Billion+ Triples
- Enhanced "Anytime Query" Functionality that fully controlled via HTTP response codes
Additional details
Usage instructions
Once this AMI is successfully initialized, you should follow the instructions outlined in the document at: http://virtuoso.openlinksw.com/dataspace/doc/dav/wiki/Main/VirtPayAsYouGoEBSBackedAMIDBpedia2015 .
Resources
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Support
Vendor support
Typical response times within 1 business day; higher SLA available for additional cost.
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AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
Updated weekly
By OpenLink Software
By metaphacts GmbH
By Franz Inc
AI generated from product descriptions
Knowledge Graph Database Engine
Virtuoso 08.03.3334-pthreads DBMS with SPARQL and SQL query processing capabilities for knowledge graph interactions
Conversational AI Integration
OpenLink AI Layer (OPAL) enabling conversational interaction with DBpedia and support for RAG/GraphRAG processing pipelines with AI Agents and Assistants
Data Query and Transformation
SPARQL Query Processor, R2RML Processor, and Data Transformation Middleware Layer for semantic data processing and conversion
Search and Discovery Capabilities
Faceted Search and Browsing functionality with HTML-based Admin Interface for knowledge graph exploration and management
Authentication and Security
Virtuoso Authentication Layer (VAL) providing secure access control and authentication mechanisms for the knowledge graph instance
Graph Database Compatibility
Supports Amazon Neptune and any SPARQL 1.1 compliant graph database
RDF Data Management
Provides UI for data loading, ontology library, SPARQL query interface, query catalog, and data quality dashboard for RDF data and ontology management
Web Component Framework
Includes pre-built Web components for search, exploration, authoring, editing, visualization, and graph data interaction that can be configured and combined for rapid development
Knowledge Graph Lifecycle Support
Supports authoring, curating, editing, exploring, integrating, searching, and visualizing of Knowledge Graphs
FAIR Data Compliance
Implements FAIR Data principles for Knowledge Graph management and enterprise data governance
Multi-Modal Database Architecture
Horizontally distributed database supporting Graph (RDF), Vector, and Document (JSON, JSON-LD) data types for scalable Knowledge Graph and Neuro-Symbolic AI applications.
Query and Reasoning Languages
Support for SPARQL 1.1, SHACL, RDFS++, OWL2-RL, and Prolog rules enabling comprehensive querying and reasoning capabilities across knowledge graphs.
Granular Data Security Framework
Triple Attribute Security mechanism providing row-level access controls at individual triple and text fragment level, with security annotations embedded within data elements themselves.
Retrieval Augmented Generation for LLMs
RAG capabilities that ground Large Language Model outputs in fact-based knowledge graphs to reduce hallucinations and ensure reliable information for critical decision-making.
Graph Visualization with RDF-Star Support
Integrated Gruff v9 visualization tool capable of illustrating RDF-Star annotations on graph edges, including scores, weights, temporal aspects, and provenance information.
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