23. February 2024
From March 19 to 21, the Semantic Web Company is organizing the 3rd PoolParty Summit under the motto ‘Unlocking the Full Potential of LLMs with Knowledge Graphs’. Users, experts and interested parties can be inspired by the PoolParty User Experience over 3 days – with virtual presentations, panels and demos. In line with the current topics, the summit will show how PoolParty users are adapting to the rapidly changing requirements of digitalization with semantic technologies and AI.
Users show how they have successfully overcome information silos, optimized inefficient work processes and overcome the challenges of unstructured data.
We are delighted that Nikhil Acharya, Knowledge Engineer at PANTOPIX, will be looking at current customer projects in his presentation on the AI-supported development of product knowledge databases. Our founder and Managing Director Karsten Schrempp will be taking part in the Intelligent Content Panel. Stay tuned and register directly for the PoolParty Summit 2024 free of charge.
Our expert presentations
March 20 | 6:45 – 7:45 p.m.
What Makes Intelligent Content Indispensable? An Expert-led Roundtable Discussion
Speakers: Karsten Schrempp and others
Intelligent content authoring has become indispensable thanks to its ability to create content in multiple formats, across multiple channels, in multiple languages and with multiple authors. Organizations don’t have to worry about content getting lost and can increase the shelf life of a piece of content, making it all the more valuable. Smart content combines technology with human skills and knowledge so that it is discoverable (by understanding human search intent), reusable and machine-readable (through structured components and metadata). This panel will bring together the different voices of the Content Component Alliance.
March 21 | 11.15 – 11.45 a.m.
Property Modeling for Product Ontology using Vector Embeddings driven by LLMs and OCR
Speakers: Nikhil Acharya
Identifying entities and relationships from heterogeneous data sources in the context of technical documentation is an important part of building a knowledge database. Technical data consists of tables, raw texts and images for various products. We use pre-trained LLM and OCR models to identify products and product attributes from these sources. The extracted product information is now disambiguated using vector embeddings and mapped to specific entities and relationships in our PIM ontology. This use of AI tools helps us build a much more concrete knowledge base for our customers compared to standard data transformation approaches that only work with structured data and are rule-based.
Our speaker
Karsten Schrempp
