Oh, the Content Professionals and Information Architects Should be Friends!

While this reprise of the famous Oklahoma song may be a mouthful, the message is simple: content and structure were never meant to live in separate silos.

With AI becoming ubiquitous, the need for content professionals to have a “take-it-to-the-bank” semantic layer that is clear, coherent, accurate, and governed, is greater than ever. Taxonomies, classification systems, ontologies, and knowledge graphs are now among an organization’s most prized assets.

Before AI, the tools used to manage these models were built primarily for information architects well-versed in Semantic Web protocols and terminology. At Xemma, we’ve heard the same story from content professionals, data managers, developers, and information architects alike: there’s a “tools gap” that makes collaboration harder than it should be, even though everyone wants to work together.

In this session, we’ll show techniques and strategies to bridge that gap so teams can sing from the same semantic songbook.

In this session, attendees will learn how to:

• Involve all stakeholders to participate in concept modeling and knowledge sharing.
• Integrate “friendly models”, such as concept and mind maps, into more formal taxonomies and ontologies.
• Visualize complex knowledge structures in clear, easy-to-understand formats for a wide range of audiences.
• Turn existing content structures into governed, AI-ready knowledge assets.
• Move from siloed tools to a collaborative, end-to-end knowledge platform.