KMWorld 2024

HealthStream maintains a dataset of regulatory requirements for professional licensing for healthcare professionals and provides courses to meet many of these requirements. It wants to explore a regulatory recommender that would use the tags applied to courses and regulations to pair an individual with the appropriate training material specific to their license, care setting, and state. This is being built in collaboration with Semantic Web Company, utilizing its LLM-based Taxonomy Advisor and Recommender feature to extend the taxonomy and its Semantic Integrator technologies to power the recommendations. The primary objective for this recommender is that its architecture be easily understandable and maintainable by our knowledge management team. A previous attempt to build such a recommender was too complex, leading to unexplainable results and an inability to fine-tune the recommendations based on feedback. It is critical that these recommendations be accurate, as this is legal content that has implications for professionals maintaining licensure if incorrect courses are suggested to fulfill the requirements.

Event: Text Analytics Forum
Date: Thursday, November 21: 10:15 a.m. – 11:00 a.m.

Speakers:
Laura Rodriguez, Knowledge Manager, HealthStream
Alexi Lopez-Lorca, Associate Director, Professional Services, Semantic Web Company

Classifying content based on thesauri is an established method in content strategy and information management. Knowledge representation, including formal logic and terminology control, provides precise and consistent indexing, enhancing information retrieval. The advent of LLMs has given these approaches a significant boost. Addressing the challenges of unlocking unknowns from latent content, guiding users in discovering new insights, and preventing hallucinations in GenAIs have become increasingly critical. As enterprises explore merging LLMs with symbolic AI, graph grounding—the formal representation of information and data—emerges as a pivotal challenge. This session introduces key concepts and presents interactive and automated tools for annotating, classifying, and indexing unstructured text and documents.

Event: Text Analytics Forum
Date: Thursday, November 21: 11:15 a.m. – 12:00 p.m.
Speaker: Sebastian Gabler, Chief Customer Officer, Semantic Web Company