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Knowledge hub for science & clinical analytics at an American multinational pharma corporation
Using metaphactory, this American Multinational Pharma Corporation built a science and clinical analytics knowledge hub that supports researchers, scientists and clinicians & bridges the gap betwe...
Omics data management at a large German pharmaceutical company
This large German pharmaceutical company used metaphactory to build an omics data management knowledge graph application which makes genomics data efficiently available throughout the entire enterpris...
Drug development and drug repurposing at a Swiss multinational healthcare company
The target discovery application built with metaphactory on top of the customer's knowledge graph empowers data scientists, immunologists or systems biologists, to explore data and gain meaningful and...
Smart turbine spare parts management at Siemens Energy
Siemens Energy application engineers leveraged metaphactory's low-code approach to build a smart turbine spare parts application that allows turbine service engineers to save thousands of hours on man...
Smart manufacturing planning & execution at Siemens
Siemens AG is one of the leading providers of factory automation solutions and components as well as Manufacturing Execution Systems and Product Lifecycle Management Software. To support human manufac...
Materials Science Knowledge Graph at Bosch
Aiming to support engineers in developing and introducing new materials for production, Bosch is building a knowledge graph that exposes material science knowledge and supplies high-quality answers ab...
Siemens Energy accelerates application development with metaphactory Knowledge Graph
Siemens Energy is a German-based industrial manufacturing company that offers solutions for virtual power plants, grid management, and storage solutions. Siemens Energy uses Amazon Neptune to oversee ...
Fraud detection at an international financial services provider
This international financial services provider used metaphactory to build a fraud detection knowledge graph app that helps fraud handlers to quickly identify suspicious claims through intuitive search...
Reference Data Service at SARI
With its Reference Data Service (RDS) built on top of metaphacts software, the Swiss Art Research Infrastructure (SARI) delivers a central data hub with unified access to scholarly established, high-q...
Linked Data Management System at Singapore National Library
The National Library of Singapore is leveraging metaphactory to build a Linked Data Management System that provides a cumulative overview of data stored in several library systems. The system will sup...
Cultural Heritage Archives at SAPA Foundation
The SAPA Foundation collects, documents and archives works from the field of the performing arts (dance, theatre, performance art, etc.) produced in Switzerland, associated with Switzerland or importa...
Industrial Knowledge Graph at Siemens
Leveraging semantic technologies and the metaphactory platform, the Industrial Knowledge Graph has become an integral element in Siemens' strategy towards intelligent engineering and manufacturing. It...
Siemens use cases with metaphactory and Amazon Neptune presented at AWS re:Invent 2017
Siemens and metaphacts were among the first Amazon Neptune users and showed several use cases for enterprise knowledge graphs using the new service and metaphactory. In a joint presentation on Dec 1,...
Federation in metaphactory
With metaphactory, we serve customers of various sizes and across multiple industries, but no matter whether we're talking about a clinical trial scoping or a bill of materials use case, customers are...
GraphDB & metaphactory Part II: An RDF Database and A Knowledge Graph Platform in Action
In our previous post, we covered the basics of how the Ontotext and metaphacts joint solution based on GraphDB and metaphactory helps customers accelerate their knowledge graph journey and generate va...
An Interconnected System for Reference Data
Reference data is a crucial element of data curation in the cultural heritage and humanities sector. Using reference data brings multiple benefits, such as consistent cataloguing, easier lookup and in...
Investigative knowledge graph exploration & targeted problem solving with metaphactory’s pathfinding interface
metaphactory's pathfinding interface enables business users & domain experts to utilize pathfinding algorithms provided by RDF databases without prior knowledge of SPARQL or the particulars of the...
GraphDB & metaphactory Part I: Generating Value from Your Knowledge Graph in Days
Large enterprises have identified knowledge graphs as a solid foundation for making data FAIR and unlocking the value of their data assets. Data fabrics built on FAIR data drive digital transformation...
Building a Knowledge Graph Application is easier than ever with metaphactory’s intuitive wizards
In this blog post, we provide an introduction into metaphactory's intuitive and interactive wizards which support application engineers in quickly and visually setting up and configuring search and au...
metaphactory search use cases for Pharma & Life Sciences
This blog post provides an overview of the metaphactory search components. To make the experience as concrete as possible, we provide examples using the most prominent publicly available knowledge gra...
![[Citation needed]: provenance with RDF-star](/images/JT/resources/blog-posts/rdf-star-blog-post.jpg)
[Citation needed]: provenance with RDF-star
Keeping track of the source of data is often referred to as provenance. In this blog post, we look at provenance tracking in RDF Knowledge Graphs using the Wikidata dataset as an exampl...
Visual ontology modeling for domain experts and business users with metaphactorb
In this blog post we use a life sciences example to provide an overview of metaphactory's visual ontology editor and highlight how a streamlined ontology modeling process improves the quality of model...
A Knowledge Graph for the Agri-Food Sector
In this guest post for the metaphacts blog, Raul Palma, who leads the data analytics and semantics department at the Poznan Supercomputing and Networking Center (PSNC), explains how knowledge graph te...
The game plan for your Knowledge Graph-driven FAIR Data platform in Life Sciences and Pharma
This blog post provides an overview of what we have developed in customer projects over the years as our game plan to build a Knowledge Graph-driven, FAIR Data platform and drive digital transformatio...
Smart solutions for identifying compatible components
In this blog post we explore how support engineers, product managers, technical planners, or technical maintenance specialists can quickly evaluate hundreds of components such as motors, gears, switch...
The default graph demystified
The SPARQL default graph is a concept that can confuse even frequent SPARQL users. In this article, we go over what the default graph actually is, why it seems to be something different in e...
Keyword search featuring type-based disambiguation in Life Sciences
In this post, we highlight metaphactory's keyword search featuring type-based disambiguation which aims to empower end users and deliver more flexibility in addressing hybrid information needs. In our...
Exploring Knowledge Graphs on Amazon Neptune using metaphactory
This AWS blog post explains how you can get started with knowledge graphs using metaphactory and Amazon Neptune, without any prior knowledge of RDF or SPARQL. The blog post explains how to: » deploy a...
KompAKI Webinar: Flexible and Extensible Competency Management with Knowledge Graphs
This presentation by Nicolas Heist introduces a generic competency ontology - developed by metaphacts as part of the KompAKI research project - that can be used to describe competencies of people and ...
Knowledge Espresso
In this Knowledge Espresso, metaphacts CEO Sebastian Schmidt and metaphacts Sales & Solutions Director Kai Preuss chat with Ellie Young from The Knowledge Graph Conference and share our approach t...
KGF 2021 Talk: Collaborative graph management and exploration using metaphactory’s low-code approach
In this presentation at the 2021 Knowledge Graph Forum organized by Ontotext, metaphacts CEO Sebastian Schmidt discusses how knowledge graphs can bring tremendous benefits but can quickly become very ...
Graph path search with GraphDB 9.9 and metaphactory 4.3
In this webinar, Ontotext and metaphacts present the graph path search implementation in GraphDB and demonstrate how the new graph path search algorithm available in GraphDB can be exposed to end user...
Beyond FAIR Data: Consumable Knowledge for R&D Innovation
This talk from the Pistoia Alliance Spring Conference summarizes Pfizer's Knowledge Graph journey and highlights their lessons learned. Built on top of metaphactory - a low-code Knowledge Graph platfo...
Accelerated R&D with a FAIR Data Fabric in Life Sciences
In this webinar, metaphacts and Ontotext highlight the benefits of knowledge graphs for driving digital transformation in the Life Sciences & Pharma industry and share important lessons learned fr...
Generate Value from Your Knowledge Graph in Days
In this webinar, Ontotext and metaphacts present an approach to accelerate your Knowledge Graph journey and help you generate value from your Knowledge Graph within a matter of days.
Webinar overview...
Stardog & Fresh Gravity Webinar: Scoping Clinical Trials with a Knowledge Graph
This webinar features a solution developed by Fresh Gravity for scoping clinical trials using metaphactory and Stardog. It explains how knowledge graphs can be used to explore clinical trial data and ...
Enabling Knowledge Democratization with Knowledge Graphs – Part 2
Today, organizations need to make information accessible to all their users, not just a select few. But getting information to the people in an organization who need it, when they need it, continues t...
Enabling Knowledge Democratization with Knowledge Graphs – Part 1
To be successful, organizations need to provide citizen access to enterprise-wide knowledge. But getting information to users who need it, when they need it, continues to be a widespread challenge. In...
metaphactory Public Demo System on Wikidata
Experience metaphactory with the free and open Wikidata dataset! The metaphactory demo instance runs the latest metaphactory version. It showcases key features for search and visualization, as well as...
Wikidata - Life Sciences Demonstrator
You can experience metaphactory first-hand with the free and open Wikidata dataset. The metaphactory demo instance runs the latest metaphactory version. It showcases key features for search and visual...
SARI's Reference Data Service
With its Reference Data Service (RDS) built on top of metaphacts software, SARI delivers a central data hub with unified access to scholarly established, high-quality, yet extendable reference data (s...
SAPA Foundation - Performing Arts
The SAPA Foundation collects, documents and archives works from the field of the performing arts (dance, theatre, performance art, etc.) produced in Switzerland, associated with Switzerland or importa...
Unlock the power of data with metaphacts
In every successful business, data is key. It drives decisions. Empowers actions. Supercharges strategy. But it can be… messy. There's so much of it. Diverse. Distributed. Out of context. It's often d...
Visual ontology modeling with metaphactory
This video captures all steps described in the Ontology Modeling Tutorial that is available in the metaphactory Help section. It will walk you through the basics of visual ontology modeling and show h...
Getting started with metaphactory
This video captures all steps described in the metaphactory "Getting Started" Tutorial that is available in the metaphactory Help section. It will walk you through the very first steps of working with...
metaphactory demo with examples from engineering & manufacturing, linked open data and life sciences
In this video, you can learn how metaphactory can help you build a Knowledge Graph application for your domain and use case and how you can leverage our search, visualization, and authoring components...
Leveraging Knowledge Graphs in the Life Sciences with metaphactory (based on COVID-19 data)
Life Sciences organizations are challenged today with significant data access problems as most of the data required to achieve their goals - for example in drug discovery pipelines - is located in num...
Accelerate Knowledge Democratization in the Enterprise with metaphactory
metaphactory allows customers to unlock the value of their data and build flexible solutions that drive knowledge democratization and digital transformation. Download data sheet to learn more »...
Beyond FAIR Data: Collaborative Knowledge Management in Pharma & Life Sciences
Customers in the pharma sector can use metaphactory to quickly build flexible Knowledge Graph applications that help streamline processes, fast-track drug discovery, and reduce research costs. Downloa...
Drug Development and Drug Repurposing with metaphactory and GraphDB
metaphactory and GraphDB allow you to create large, highly interconnected knowledge graphs and expose data to your end users through an intuitive business application. Have a look at our joint use cas...
Smart solutions for identifying compatible components – Powered by metaphactory and RDFox
This knowledge graph-based application for configuration management developed on top of metaphactory and RDFox allows support engineers, product managers, technical planners, or technical maintenance ...
Flexible and Extensible Competency Management with Knowledge Graphs
By Nicolas Heist, Peter Haase, and Simon Scerri
...
metaphactory: A Platform for Knowledge Graph Management
By Peter Haase, Daniel Herzig, Artem Kozlov, Andriy Nikolov, Johannes Trame
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Hybrid Enterprise Knowledge Graphs
By Peter Haase
...
Using Wikidata and Metaphactory to Underpin an Integrated Flora of Canada
By Joel Sachs, Jocelyn Pender, Beatriz Lujan-Toro, James Macklin, Peter Haase, Robin Malik
...
Towards the Bosch Materials Science Knowledge Base
J. Strotgen, T.K. Tran, A. Friedrich, D. Milchevski, F. Tomazic, A. Marusczyk, H. Adel, D. Stepanova, F. Hildebrand, and E. Kharlamov
...
Use Cases of the Industrial Knowledge Graph at Siemens
By Thomas Hubauer (Siemens AG), Steffen Lamparter (Siemens AG), Peter Haase, Daniel Herzig
...
Combining RDF Graph Data and Embedding Models for an Augmented Knowledge Graph
By Andriy Nikolov, Peter Haase, Daniel M. Herzig, Johannes Trame, Artem Kozlov
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Ephedra: efficiently combining RDF data and services using SPARQL federation
By Andriy Nikolov, Peter Haase, Johannes Trame, Artem Kozlov
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Alexa, Ask Wikidata! Voice interaction with knowledge graphs using Amazon Alexa
By Peter Haase, Andriy Nikolov, Johannes Trame, Artem Kozlov, Daniel M. Herzig
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Ephedra: SPARQL federation over RDF data and services
By Andriy Nikolov, Peter Haase, Johannes Trame, Artem Kozlov
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Requirements to Modern Semantic Search Engines
By Ricardo Usbeck (AKSW Group), Michael Röder (AKSW Group), Peter Haase, Artem Kozlov, Muhammad Saleem (AKSW Group), and Axel-Cyrille Ngonga Ngomo (AKSW Group)
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Enabling Enterprise Knowledge Graphs with Wikidata
By Peter Haase, Michael Schmidt, Brad Bebee (Systap), Mike Personick (Systap), Bryan Thompson (Systap)
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RDF Constraint Checking
By Peter M. Fischer (Univ. of Freiburg), Georg Lausen (Univ. of Freiburg), Alexander Schätzle (Univ. of Freiburg), Michael Schmidt
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FedX: Optimization Techniques for Federated Query Processing on Linked Data
By Andreas Schwarte, Peter Haase, Katja Hose, Ralf Schenkel, and Michael Schmidt
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metaphactory Documentation
The metaphactory documentation provides detailed explanations, examples, and configuration snippets that support:
knowledge graph engineers in creating and maintaining the knowledge graph and all i...