Lectures
Using Undiscovered Treasures –
Automated Classification of Product Related Documents
Countless documents on products, processes, markets, and competitors are stored in databases – all stored to be utilized. We can unlock these hidden treasures by analyzing them based on familiar criteria and placing them into a meaningful context. Automated and AI-based methods, on one hand, and knowledge organization using knowledge graphs, on the other hand, support the process of autotagging.
Product ontologies as backbone for GenAI
Maximilian Gärber, Prof. Dr. Martin Ley. Product ontologies as backbone for GenAI. tcworld, November 2024.
The integration of technical documentation in Product Information Management Systems powered by Knowledge Graphs and LLMs
Dr. Amir Laadhar, Nikhil Acharya. Generative AI driven by Knowledge Graphs for technical documentation questions answering. tcworld, November 2024.
Leveraging Business Q&A with LLMs over Product Knowledge Graphs
Dr. Amir Laadhar, Nikhil Acharya. Leveraging Business Q&A with LLMs over Product Knowledge Graphs. SEMANTICS, September 2024.
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Maraike Heim
Head of Marketing
- maraike.heim@pantopix.com