metaphactory provides added value to Amazon Neptune for knowledge graph management, visualisations, rapid application building and end-user oriented interactions with graph data. Using metaphactory for Amazon Neptune, customers can rapidly build 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 building 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 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 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 Building
Declarative components for end-user interaction, which can be set up and combined in minutes, allow for fast and agile building 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
Knowledge Graph engineers, who administrate and oversee the Knowledge Graph, benefit from easier data management with metaphatory.
Application engineers benefit from metaphactory through fast and rapid application building.
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
CASE STUDY: TURBINE SPARE PARTS MANAGEMENT AT SIEMENS ENERGY
SMART AND TARGETED MAINTENANCE OF SPARE PARTS OF LARGE GAS TURBINES
Shorter time to market of the business solution through rapid application building
Efficient identification and management of spare parts, resulting in higher productivity and yearly time savings of up to 1,500 hours in the first year already
Increased business user and customer satisfaction
» DOWNLOAD COMPLETE CASE STUDY "Siemens Energy significantly reduces manual effort for spare parts management of large gas turbines with metaphactory and Amazon Neptune"
SIEMENS USE CASES WITH METAPHACTORY AND AMAZON NEPTUNE PRESENTED AT AWS re:Invent 2017
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 at AWS re:Invent, 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.