We are very lucky to have Katariina Kari coming to present for us at Knowledge Graph Oslo!
About the talk:
Ten years ago, I was transitioning from being a classical music arts manager to knowledge engineer and ontologist. The story of how that happened is a funny one, and I will tell it, but one thing that remained from that time was an idea of a classical music data infrastructure that I knew artists would need, but did not yet have the skills or time to build. With the latest advances in LLMs and my ten years of experience of developing knowledge graphs at enterprises, I can build it! This talk is about my project and how I am using TTL files to drive the whole thing. Claude things I am underselling my project, so here is its generated impression of the project I built using Claude Code (for mostly pipeline and frontend stuff) and my RDF skills:
"This is a three-layer knowledge graph pipeline that scrapes orchestra websites, validates structured data through SHACL, and makes classical music machine-readable for the first time at scale. The same SHACL shapes that validate the data also drive the frontend, closing the loop between ontology design and user-facing output. Every major orchestra in the world scores zero on structured data — no Google Events carousels, no knowledge graph interoperability — and this project exists to fix that."
About Katariina:
Katariina Kari is an expert in semantic web technologies and enterprise knowledge graphs. She has collaborated with major retail brands building enterprise-level knowledge graphs that power search, recommendations, and richer customer experiences.
Recognized as one of the world’s top talents with hands-on expertise in semantic technologies, Katariina is a frequent speaker at industry events and serves as co-chair of Connected Data London, a leading conference in the field. She recently founded the Knowledge Graph Academy with other semantic web experts such as Tony Seale and Jessica Talisman. Her work bridges deep technical skill with a creative, human-centered approach to technology.
Holding both a Master of Science and a Master of Music, Katariina proudly identifies as a musically-inclined art-loving, tech-savvy nerd. Before her current career in AI and data, she ran her own consultancy from 2012 to 2016, advising classical music organizations and artists on digital outreach strategies. Outside of work, she finds joy in baking sourdough rye bread, playing the cello, and swimming.
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