Insights from a Recent Survey

Context

Knowledge Organisation Systems (KOSs), such as term lists, thesauri, taxonomies, and ontologies, play a fundamental role in categorising, managing, and retrieving information. 

Current achievements and expanding opportunities

For many the transition from General Knowledge LLMs to RAG architectures has been revelationary with benefits including minimal hallucinations, greater accuracy and control over sources. The vast majority of RAG use cases do not use GraphRAG but there is huge interest that continues to grow in using Graphs alongside LLMs and embedding Semantic Guardrails into AI using Ontologies, Taxonomies and other approaches.  

Since first presenting Creating Political Intelligence - A Journey Through Data at Dods in June 2024, Dods has moved from laying data foundations to operating live, AI-supported capabilities that are reshaping how political intelligence is structured, discovered and used.

Your chance to visit the DAM Europe and Semantic Data exhibition and network with fellow attendees.

Mapping a database of classical music for use in the music/media industry involves a thorough knowledge of the subject and its many, unique pitfalls. The anatomy of a standard classical music track title, highlighting how it differs from a standard pop music track title and how it contains multiple levels of complex metadata.

With all the hype over algorithms and the steep demand for GPUs, we often forget that AI’s real rocket fuel is data. And it needs lots of it. How much and what data AI companies utilise has turned into a competitive battlefield, with swaths of data becoming walled off and unavailable to others. 

It is ironic that as AI pretends to give us access to unbounded knowledge, behind the scenes an enclosure of knowledge is taking place that is unprecedented in modern history. 

What are the long-term consequences? And if they worry us, what can we do?

Enjoy breakfast and explore the DAM Europe and Semantic Data co-located exhibition before joining the event!