Tag: semantics

When it comes to FAIR life sciences data, keeping meaning and detail attached to pharmaceutical data supports trusted reuse across R&D, technology transfer and CDMO operations. Semantic harmonization can preserve source detail, add semantic context and relate different worlds without flattening them. Progress Data Platform helps connect complex data, documents and domain knowledge so information remains findable, reusable and trustworthy across teams, systems and partners.

In this post, we discuss the benefits of combining the strengths of neural (LLM) and symbolic (semantic) methods for grounded AI agents.

Progress Semaphore 5.10.2 helps organizations capture, govern, and reuse meaning with greater precision through enhancements like metadata on labels, SKOS collections, flexible metadata assignment, and concept reuse. With smarter semantic search and more collaborative modeling, this release makes trusted knowledge easier to discover, adapt, and use for confident, AI-ready decision-making.

Discover how Knowledge Graphs transform the fragmented data landscape of modern supermarkets into a connected, insightful network, enabling better understanding of consumer behavior, personalized experiences and efficient data management.

By removing layers of information complexity, semantic analysis helps you realize the business value of your data, extract intelligence and drive innovation.