Hosted by Larry Swanson · 🇺🇸 US · EN-US · 51 episodes
Established thought leaders with verified media credentials.
Interviews with experts on semantic technology, ontology design and engineering, linked data, and the semantic web.
Larry Swanson hosts Knowledge Graph Insights, a technology show with 51 episodes published.
Giancarlo Guizzardi For nearly three decades, Giancarlo Guizzardi has researched and advanced the field of semantics and the practice of ontology and conceptual modeling. His work on the Unified Foundational Ontology (UF
Ora Lassila and Adrian Gschwend Even as RDF has become ubiquitous in enterprises and across the web, its awkward handling of reification — the ability to refer to other statements in a graph — has limited its wider adopt
Daniel Davis Long before Foundation Capital published their "trillion dollar opportunity" article about them, Daniel Davis had been building a platform for context graphs. Daniel's work in complex domains like aircr
Veronika Heimsbakk With interest in knowledge graphs growing by the day, Veronika Heimsbakk is busier than ever with her efforts to connect the data engineering, information architecture, and ontology practices that driv
Joe Reis When Gartner declared 2026 "The Year of Context," Joe Reis leapt into action, immediately writing a good-natured satirical article about "context products," "context lakes," and the "analyst singularity." It
Robert Sanderson Yale University manages huge collections of precious cultural heritage artifacts housed in multiple museums, libraries, and other collections. Using knowledge graph and ontology engineering design patter
Max Gärber The promise of agentic AI is being realized in systems like the Service Copilot that Zeiss microscopes provides for its field service engineers. The system integrates technical documentation, subject matter ex
Quentin Reul The complementary nature of knowledge graphs and LLMs has become clear, and long-time knowledge engineering professionals like Quentin Reul now routinely combine them in hybrid neuro-symbolic AI systems. Whi
Jim Hendler As the World Wide Web emerged in the late 1990s, AI experts like Jim Hendler spotted an opportunity to imbue in the new medium, in a scale-able way, knowledge about the information on the web along with its s
Brad Bolliger Brad Bolliger entered the knowledge graph space via enterprise software system design and data analytics. That background informs their pragmatic and strategic approach to the use of semantic technology in
Tara Raafat At Bloomberg, Tara Raafat applies her extensive ontology, knowledge graph, and management expertise to create a solid semantic and technical foundation for the enterprise's mission-critical data, informa
Alexandre Bertails At Netflix, Alexandre Bertails and his team have adopted the RDF standard to capture the meaning in their content in a consistent way and generate consistent representations of it for a variety of inte
Torrey Podmajersky Torrey Podmajersky is uniquely well-prepared to help digital teams align on language and meaning. Her father's interest in philosophy led her to an early intellectual journey into semantics, and h
Casey Hart Ontology engineering has its roots in the idea of ontology as defined by classical philosophers. Casey Hart sees many other connections between professional ontology practice and the academic discipline of phi
Chris Mungall Capturing knowledge in the life sciences is a huge undertaking. The scope of the field extends from the atomic level up to planetary-scale ecosystems, and a wide variety of disciplines collaborate on the re
Emeka Okoye Semantic technologies permit powerful connections across a variety of linked data resources across the web. Until recently, developers had to learn the RDF language to discover and use these resources. Levera
Tom Plasterer Shortly after the semantic web was introduced, the demand for discoverable and shareable data arose in both research and industry. Tom Plasterer was instrumental in the early conception and creation of the
Mara Inglezakis Owens Mara Inglezakis Owens brings a human-centered focus to her work as an enterprise architect at a major US airline. Drawing on her background in the humanities and her pragmatic approach to business,
Frank van Harmelen Much of the conversation around AI architectures lately is about neuro-symbolic systems that combine neural-network learning tech like LLMs and symbolic AI like knowledge graphs. Frank van Harmelen
Denny Vrandečić As the founder of Wikidata, Denny Vrandečić has thought a lot about how to better connect the world's knowledge. His current project is Abstract Wikipedia, an initiative that aims to let anyone any
Sponsor detection runs nightly. Check back soon.
No public pitch examples yet for this show.
Generate your own personalised pitchBased on semantic analysis of episode topics and host coverage, this show is a strong guest fit for executives in:
Industry fit is computed by PitchCentric using vector embeddings of the show's episode catalog.
Shows with the most semantically similar episode content. Pitch one, pitch all; producers cluster.
To pitch Knowledge Graph Insights, visit https://knowledgegraphinsights.com/ for contact information, then craft a tight one-paragraph hook that ties your expertise to a gap in their recent technology coverage.
Knowledge Graph Insights is hosted by Larry Swanson. The show is categorised under technology (business) and has published 51 episodes.
Knowledge Graph Insights has published 51 episodes.
Knowledge Graph Insights regularly covers technology, business, management. It sits in the technology category, with a business focus.
Knowledge Graph Insights is accessible for guests with genuine technology expertise. A personalised, episode-aware pitch will still outperform a generic one every time.
Knowledge Graph Insights hasn't explicitly signalled guest openness in recent episodes. That doesn't rule out pitching. your hook just needs to be especially compelling and relevant to their recent content.
Episodes of Knowledge Graph Insights average 34 minutes. a focused format where a clear narrative arc and tight preparation matter most.
Our data rates Knowledge Graph Insights's guest bar at 80/100 (Premium tier). Established thought leaders with verified media credentials. Sign in to PitchCentric to see how your own Pod Score compares against this show.
Methodology. Booking Probability™ blends Listen Score, 30-day Virality, open-to-guests detection, and Apple ratings. Data refreshed every 60 minutes. Listen Score and Booking Probability are calculated by PitchCentric. Last enriched 4 days ago.
