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[Online] Ontologies and Knowledge Graphs: What Data & Product Teams Need to Know
We’re joined by Jessica Talisman, an information architect and semantic engineer, for this community Expert Session.
Product teams make decisions about data every day, but shared meaning often falls between teams. When the same concept is represented differently across products, adding another feature does not resolve the underlying ambiguity.
Taxonomies, ontologies and knowledge graphs provide established ways to represent that meaning. Their relevance now is practical: product and AI teams need context they can explain, maintain and use across systems.
This conversation uses concrete examples to explore where those disciplines help, what product managers need to understand and where ownership needs to extend beyond a single product. No knowledge-engineering background is required.
What we’ll unpack
What taxonomies, ontologies and knowledge graphs do differently
How shared meaning affects product configuration and cross-system use
Why open standards matter for reusable context
Where product ownership ends and programme-level coordination begins
What you’ll walk away with
Explain the product problem a semantic model could address
Distinguish useful context work from terminology alone
Ask better questions of information architects and semantic engineers
Identify who needs to own meaning across product boundaries
About our speaker
Jessica Talisman has spent more than 25 years as a librarian, information architect, taxonomist, ontologist and knowledge graph builder. She runs Contextually LLC, where she helps organisations build the semantic infrastructure their AI systems need for reliability and safety. She teaches the Ontology Pipeline framework — controlled vocabulary, metadata, taxonomy, thesaurus, ontology and knowledge graphs — as a discipline, and loves the craft. Much of her paid subscriber content offered early previews of her book, Ontology Pipeline, which is now published.
How to join
This is an online event. Join the livestream here at the scheduled time.
You can also join our online community for free to find webinar recordings, resources, and discussions.
About the community
Our Data & AI Product Management community brings together people shaping data, analytics, and AI initiatives. Whether or not “product” is in your job title, you’re welcome to join us to learn from peers and share your experience.