metaphactory provides added value to Amazon Neptune for knowledge graph management, visualisations, rapid application development and end-user oriented interactions with graph data. Using metaphactory for Amazon Neptune, customers can rapidly develop new, user-oriented applications for their target groups and provide end users with context-aware insights for their daily tasks.
Our offering on AWS Marketplace features a one-click setup of metaphactory and Amazone Neptune using a CloudFormation template.
Your Platform for Enterprise Knowledge Graphs on Amazon Neptune
metaphactory is the end-to-end Knowledge Graph platform for Knowledge Graph management, rapid application development and end-user oriented interaction. metaphactory makes authoring, building, curating, editing, integrating, linking, searching, and visualizing your Knowledge Graph easy, fast and affordable.
Amazon Neptune is a new, fast, reliable and scalable graph database service. Amazon Neptune is able to query RDF data using the SPARQL query language with the speed and simplicity of a graph database, while benefiting from the scalability, security, durability, and availability of an enterprise-grade service built on AWS.
metaphactory is Amazon Neptune ready
and works on-top of this new, fully managed graph database service
Exploring Knowledge Graphs on Amazon Neptune using metaphactory
- Learn how it works -
Read this AWS blog post to learn how you can get started with knowledge graphs using metaphactory and Amazon Neptune, and without any prior knowledge of RDF or SPARQL. The blog post explains how to:
deploy an Amazon Neptune stack with metaphactory as the client application in one step using a CloudFormation template,
load RDF datasets to Amazon Neptune using metaphactory,
explore the loaded data graph and interactively build graphical visualizations using metaphactory, and
query the knowledge graph, and save and organize searches for later use in metaphactory.
Graphical SPARQL Endpoint UI for easy querying and managing of saved queries in a query catalog
Authoring of ontology and instance data for better model management and data quality assurance
User and access control mechanisms for fine-grained security
Rapid Application Development
Declarative components for end-user interaction, which can be set up and combined in minutes, allow for fast and agile development of applications
"Query as a Service" - Dynamic REST services makes metaphactory a powerful middleware layer to third party applications
metaphactory is a full-fledged Linked Data platform, which allows fast data integration and linking
End-user Oriented Interaction
Navigation, exploration, and visualization of Knowledge Graphs in an end-user friendly way
Authoring and editing for end users
Everything with a standard Web browser
Expert users, who administrate and oversee the Knowledge Graph, benefit from easier data management with metaphatory.
Developers benefit from metaphactory through fast and rapid application development.
End users profit from the Knowledge Graph technology without being exposed to any complexity, but enjoy the user-friendly interfaces and experience. They easily find the answers and data they are looking for.
METAPHACTORY IN ACTION
AWS MARKETPLACE LISTS METAPHACTORY AS FIRST GRAPH DATA MANAGEMENT SOLUTION AND REFERENCES JOINT SUCCESS STORY AT SIEMENS GAS AND POWER
metaphactory is now available as the first solution for graph data management on AWS Marketplace. On the solution page you can learn about our joint metaphactory and Amazon Neptune success story at Siemens Gas and Power. The gas turbines of Siemens Gas and Power are used worldwide in different environments and with customer specific configurations. Managing a broad variety of spare parts and configurations for each turbine is a challenge. metaphactory and Amazon Neptune enabled Siemens Gas and Power to rapidly build a Turbine Knowledge Graph and visualize the connections between similar parts across the entire fleet. With metaphactory, we enabled them to identify and manage spare parts efficiently, saving up to 1500 hours of manual effort per year.
"The key advantage of metaphactory was that we could easily visualize our data during development for early feedback from the business allowing data quality improvements, and fast and target-focused development of our data model and application," says Paul Zolnowski, Section Lead - Post Documentation, Siemens Gas and Power.
SIEMENS USE CASES WITH METAPHACTORY AND AMAZON NEPTUNE
Siemens and metaphacts are among the first Amazon Neptune users and show several use cases for enterprise knowledge graphs using the new service and metaphactory.
In a joint presentation on Friday Dec 1, 2017, Siemens and metaphacts provided details on how they use Amazon Neptune, standalone graph stores, and the metaphactory platform to drive use cases for enterprise knowledge graphs. Leveraging this combined solution, Siemens powers an intelligent knowledge hub combining structured and unstructured data from different sources and business units in a unified data space. This knowledge hub can also be used as a smart knowledge factory generating new knowledge.
"We are looking forward to investigate Amazon Neptune in depth and we are glad to have a partner in metaphacts which understands our data management needs and has supported us in driving knowledge graph use cases for our business and for our customers", says Thomas Hubauer, Portfolio Project Manager for Knowledge Graph & Semantics at Siemens Corporate Technology.