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The Semantic Data Practitioner

This publication covers the emerging semantic data practitioner space. Wedged in-between the domains of semantic knowledge graphs, software engineering, data analytics, AI, and Semantic Search. For data modellers, semantic engineers, semantic designers, and semantic architects.

Build advanced collaborative taxonomies using hypergraphs

12 min readDec 15, 2024

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In the enterprise you’re often faced with digital business information that is hard to process using traditional approaches. Far too many treat their business information as other data without ensuring its structure, context and meaning during processing.

We believe that human agency can be improved by offering generic, highly performant and accurate platforms for rapid digital innovation.

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Visualisation showing how SKUs are connected through a product taxonomy. This is a narrow set, supporting the example where some record properties get inherited through the classes of the taxonomy.

It is crucial to have generic problem-solving capabilities at hand. We believe digital exoskeletons is an apt term for what we provide, let us know in the comments below what you think of as more approachable terms!

There is a specific challenge that enterprise information architects and information modellers grapple with. It is the information at the heart of every enterprise. It includes product information, legal entity relationships within and beyond the company, and other reference data for classifying and labelling digital twins of phenomena in the enterprise.

An AI for 100% correct answers, to a set of rules

These information structures often require custom-built precise information models tied to the specific competitive edge of the firm, advanced logic for retrieval, and special features such as value inheritance or…

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The Semantic Data Practitioner
The Semantic Data Practitioner

Published in The Semantic Data Practitioner

This publication covers the emerging semantic data practitioner space. Wedged in-between the domains of semantic knowledge graphs, software engineering, data analytics, AI, and Semantic Search. For data modellers, semantic engineers, semantic designers, and semantic architects.

Philippe Höij
Philippe Höij

Written by Philippe Höij

Passion for the intersection between organisational development, digital infrastructure, computer code and sustainability. Inspiration based sharing.

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