Lectures
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 followings:
- 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
- Use of these methods to solve various problems in industry, with proven examples
Product Information Management Systems Powered by Knowledge Graphs
Nikhil Acharya, Amir Ladhaar. Product Information Management Systems Powered by Knowledge Graphs. ESWC, May 2024.
Property Modelling for Product Ontology using Vector Embeddings driven by LLMs and OCR
Nikhil Acharya. Property Modelling for Product Ontology using Vector Embeddings driven by LLMs and OCR. PoolParty Summit, March 2024.
Knowledge Models as Silver Bullet for Quality Intelligence
Dr. Martin Ley and Johann Wagner. Knowledge Models as Silver Bullet for Quality Intelligence. SEMANTiCS Conference, September 2023.
Contact us
Maraike Heim
Head of Marketing
- maraike.heim@pantopix.com
