Knowledge Graph Embeddings in the Industry
Knowledge graphs are extremely useful when we need to compare hierarchical relationships, properties and links of different data models. They allow users to analyze different data properties of data models to solve industrial problems without having to understand the semantics of the data model. In this presentation we will discuss the following:
- Using semantic relationships and properties to represent data from different sources
- Methods currently used to analyze and represent semantic relationships between different nodes in knowledge graphs
- Using these methods to solve various problems in industry, with proven examples
Dr. Martin Ley and Johann Wagner. Knowledge Models as Silver Bullet for Quality Intelligence. SEMANTiCS Conference, September 2023.
Karsten Schrempp. Smart Relations between Content and Spare Parts Information. NORDIC TechKomm, September 2023.
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