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From relational to semantic: Ontology modeling on SAP HANA® Cloud

From relational to semantic: Ontology modeling on SAP HANA® Cloud

Written by Ademar Crotti on 13 October 2026. Posted in Semantic Knowledge Modeling

Reading time: 10 minutes

 

This article explains how users can model an ontology in metaphactory based on an existing schema taken from SAP HANA® Cloud.

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Why your AI Agents are only as good as the knowledge behind them

Why your AI Agents are only as good as the knowledge behind them

Written by Pauline Leoncio on 26 May 2026. Posted in Semantic Knowledge Modeling

Reading time: 6 minutes

 Why your AI agents are only as good as the knowledge behind them

The race to deploy AI agents is accelerating, but most organizations are still building on sand. A new Gartner report suggests that the key to building reliable AI agents is a “context layer”. This article, republished from the Digital Science blog, discusses the three components that make up the context layer and how Digital Science (and its portfolio of products, including metaphactory, Dimensions, Figshare and Altmetric) is well-positioned to provide that foundation. Keep reading!

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A guide to ontology governance in metaphactory

Written by Johannes Trame, Pauline Leoncio on 24 October 2024. Posted in Semantic Knowledge Modeling

Reading time: approx. 10 minutes

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.

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How a semantic model can elevate your enterprise information architecture

Written by Sebastian Schmidt, Pauline Leoncio on 16 October 2024. Posted in Semantic Knowledge Modeling

Reading time: approx. 11 minutes

Why our enterprise information architecture needs a semantic model

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.

 

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How to approach semantic modeling: Perspectives from a metaphacts friend

Written by Veronika Heimsbakk on 10 September 2024. Posted in Semantic Knowledge Modeling

Reading time: approx. 7 minutes

How to approach semantic modeling

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.

 

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  1. The importance of the semantic knowledge graph
  2. Connecting the best of both worlds: ontologies and vocabularies in metaphactory
  3. Vocabulary management for domain experts and business users with metaphactory
  4. Data in context with metaphactory's flexible data cataloging capabilities
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