The LavaCon Content Strategy Conference | 27–30 October 2024 | Portland, OR
Helmut Nagy

Helmut joined Semantic Web Company (SWC) in 2010, and has been COO since 2013. He is a known expert in the field of knowledge management and semantic AI. He has worked with global organizations to help them develop their AI strategies based on knowledge graphs. Helmut is co-author of The Knowledge Graph Cookbook.

From document search to document understanding

To understand our documents, we need to semantically understand the structure of the documents. With standards like DITA that focus on generic structures, combined with knowledge graphs, this can be turned into a methodology for semantically understanding documents. This allows for more precise text analysis as we focus on the right method in the context of the document structure, turning documents into componentized content that can be easily tailored to different needs.

In my talk, I will explain the methodology using a concrete example of a DITA dataset that has been transformed into a knowledge graph as a “”digital twin”” of the DITA dataset. In addition, I will show how this can improve the content creation process and the possibilities this offers for content delivery in different contexts such as chatbots, virtual reality, video, artificial intelligence, etc.

In this session attendees will learn:

  • How to turn a DITA dataset into a knowledge graph
  • How this content graph can be used to drive user experience