Efficient and high-performance operation of semantic models in Enterprise Information Architecture
In this guest post, Michael Schäfer, IT architect and Division Lead Multicloud & Modern Work at Netlution dives into how semantic knowledge models enable efficient data collection, organization, and utilization to drive business success, as well as important considerations when assessing the IT operating model for an EIA solution.
Leveraging Knowledge Graphs at Scania and TRATON: A Revolution in Data Management
In this guest blog post, Tanuja Gupta, Manager: Knowledge Graphs and Explainable AI at MAN and previously Solutions Architect and Knowledge Graph Ambassador at Scania (both part of TRATON GROUP), explains how knowledge graphs have helped Scania—a world-leading provider of transport solutions— and TRATON GROUP—one of the world’s largest commercial vehicle manufacturers—overcome data challenges and create a more connected, consumable, and actionable data environment across the enterprise and its sister brands.
BIBFRAME dilemmas for libraries: Challenges and opportunities
In this article, Richard Wallis, a distinguished Linked Data and Semantic Web expert and thought leader, shares insights from the recent BIBFRAME Workshop in Europe where he presented a novel knowledge graph-powered solution created for a major national library. He also explores the common challenges that libraries currently face and the opportunities that technologies like linked data and knowledge graphs can offer for managing and connecting massive data volumes, as well as improving the experience for library users.
A guide to ontology governance in metaphactory
In this blog post, we’ll explore the importance of establishing policies and frameworks that govern the creation and management of ontologies within your organization. We also look at how metaphactory’s ontology management helps to facilitate proper governance.
Revolutionizing HR Recruiting with Knowledge Graphs and LLMs: Introducing Zenia Graph's HR Recruiting Accelerator
Traditional HR recruiting often feels like searching for a needle in a haystack. Companies are inundated with resumes, and candidates are overwhelmed by the sheer number of job listings. Time-consuming manual processes, coupled with the challenge of finding the perfect candidate-job match, hinder efficiency and lead to suboptimal hiring decisions and missed opportunities. To revolutionize this critical function, Zenia Graph co-founders, Aurelije Zovko and Nina Zovko introduce their HR Recruiting Accelerator, a cutting-edge solution powered by the synergy of knowledge graphs and large language models.
How a semantic model can elevate your enterprise information architecture
If your organization doesn’t already have an enterprise information architecture in place—it should, and if you do have one, it should be based on a semantic model. In this article, we’ll explain what an “enterprise information architecture” is and how it can support your enterprise with decision intelligence, knowledge democratization and enterprise-wide optimization.
Breathing new life into old drugs: The promise of drug repositioning
In the ever-evolving world of pharmaceuticals, an intriguing strategy has gained traction: drug repositioning. Also known as drug repurposing, reprofiling, redirecting, or switching— this approach involves finding new uses for existing medications. While it comes with its own set of challenges, drug repositioning offers several advantages, including a potential solution to the current slowdown in new drug discovery.
How to approach semantic modeling: Perspectives from a metaphacts friend
In this blog post, guest author Veronika Heimsbakk, knowledge graph lead at Capgemini, shares her approach to creating semantic knowledge models for clients. Read this guide to learn how she works together with clients to build semantic knowledge models from the ground up and discover practices you can apply to your own semantic modeling initiatives.
How to create a knowledge graph application with metaphactory and Amazon Neptune
This article is a follow-up in a series where we show how you can use metaphactory to build an end-user application using its dynamic model-driven components, driven by SPARQL queries. It originally appeared on the Amazon AWS blog and was republished and edited with permission from our partners at Amazon AWS.
Exploring app-building in metaphactory with the metaphacts Nobel Prize assets bundle
In this blog post, we discuss the metaphacts Nobel Prize App, where you can explore information and gain deeper insights into the awards, prize winners and uncover any relations between them — all while experiencing the full range of app-building capabilities metaphactory has to offer.
How BKW Energie resolved smart meter choke points with a knowledge graph
This blog post is a recap of a presentation held at the 2023 Knowledge Graph Symposium about BKW Energie's smart meter operations, the data challenges they experienced and how knowledge graphs supported this complex use case.
Using knowledge graph-based LLM for relation & event detection
This post originally appeared on the Ontotext website and is republished and edited with the permission of our partners at Ontotext. In this blog post, we explore Ontotext’s latest knowledge graph-powered solution that works with LLMs to transform raw news content into actionable data for events impact assessment and risk and opportunity detection.
Introducing the Dimensions Knowledge Graph
In this blog post, we discuss the capabilities of the new Dimensions Knowledge Graph and how it helps organizations overcome persistent data challenges in the pharma space and power use cases across the entire pharma value chain. Keep reading!
Configure Single Sign-On in metaphactory for maximum security & control
In a previous blog post, we described an approach to forward the identity in the form of the user’s metaphactory access token. Here, we’ll go a step further and show you how the Microsoft Azure On-Behalf Of workflow (OBO) can be employed—to not only forward the metaphactory token but exchange it with an access token for the target application, therefore providing a maximum level of security.
We used a knowledge graph to enhance our CMS. Here’s how it went.
Building massive knowledge graphs using automated ETL pipelines
In this blog post, we’ll explore how to build a massive knowledge graph from existing information or external sources in a repeatable and scalable manner. We’ll go through the process step-by-step, and discuss how the Graph-Massivizer project supports the development of multiple large knowledge graphs and the considerations you need to take when creating your own graph. Keep reading!
Visualize and explore knowledge graphs quickly by connecting metaphactory to Amazon Neptune
This post has also been published on the AWS Database blog.
In this post, we show you how to get started with knowledge graphs using the metaphactory platform backed by Amazon Neptune. Offered by AWS Partner Network (APN) Select Technology Partner metaphacts GmbH, metaphactory helps you build knowledge graphs and the smart applications that use them.
Fragmented knowledge in pharma: Bridging the divide between private and public data
This post has also been published on the Digital Science TL;DR website.
Despite the increasing availability of public data, why are so many pharma and life sciences organizations still grappling with a persistent knowledge divide? This discrepancy was a focal point at the recent BioTechX conference in October, Europe's largest biotechnology congress that brings together researchers and leaders in pharma, academia and business. In this post, we explore the need to connect data from different sources and all internal corporate data through one, integrated semantic data layer.
Introducing: Next-generation Semantic Search
When it comes to leveraging your enterprise data, having a wealth of quality data is only half the battle. The other half is having the right tools and technology to help you extract valuable insights from it and uncover new opportunities. That’s why we were eager to introduce metaphactory's Next-Generation Semantic Search (Next-gen Search), as part of the metaphactory 5.0 release.
Building explainable and trustworthy recommendation systems: What we learned from IKEA at KGC 2023
In this blog post, we dive into how knowledge graphs play an important role in IKEA's recommendation systems, based on our experience attending two presentations by IKEA at the 2023 Knowledge Graph Conference.