Leveraging Generative AI to Jump Start Your Semantic Knowledge Modeling

On-Demand Webinar

Knowledge graphs have emerged as a powerful tool for organizing and connecting large amounts of data, as they provide a structured representation of relationships and dependencies between different entities and concepts. They can allow you to get insight from patterns that weren’t previously visible in your data and make more insightful decisions. However, developing a knowledge graph from scratch can be a daunting task. To overcome this challenge, enterprises can leverage the capabilities of Generative AI to more quickly get started with semantic modeling.  

Generative AI empowers businesses with its innovative capabilities, automating various business processes, improving efficiency and increasing the employee's productivity. Combining Generative AI with a human in the loop, using the powerful Semaphore technology, can deliver better overall results and make you more productive in the creation, enrichment, and management of your semantic models. 

Start generating knowledge graphs with the power of Generative AI and Semaphore. During this webinar, we will show you how you can: 

  • Use Generative AI for the development of knowledge models.
  • Enrich, link and manage semantic models with the help of Semaphore.
  • Create SPARQL queries and SHACL (Shapes Constraint Language) shapes with Generative AI and then manage and run them within Semaphore. 

Watch this on-demand recap of Semaphore’s Senior Enterprise Account Manager, Doug Dunn, as he discusses the importance of semantic models and how companies can enhance their value using Generative AI. Also presenting during this session is Lance Thieshen, Senior Sales Engineer, who demonstrates the combined power of Generative AI and Semaphore to simplify the creation and management of semantic knowledge models.


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