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Knowledge Graph Insights

Larry Swanson
Knowledge Graphs
Artificial Intelligence
Semantic Web
Large Language Models
Generative AI
Knowledge Graph
Semantic Technology
RDF
Graph Technology
Semantics
Linkedin
Entity Resolution
Knowledge Representation
Ontologies
Machine Learning
Ontology
Meta Grid
Philosophy
Enterprise Architecture
Llms

Interviews with experts on semantic technology, ontology design and engineering, linked data, and the semantic web.

PublishesTwice monthlyEpisodes49Founded2 years ago
Number of ListenersCategories
BusinessManagementTechnology

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Artwork for Knowledge Graph Insights

Latest Episodes

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 adoption. RDF 1.2 addresses this wi... more

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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 aircraft safety and autonomous vehicles,... more

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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 drive modern knowledge engineering... more

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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's a fun article that exemplifies ... more

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Recent Guests

Daniel Davis
Co-founder and co-creator at TrustGraph
TrustGraph
Episode: Daniel Davis: Grounding Generative AI with Context Graphs – Episode 49
Veronika Heimsbakk
Knowledge Graph Specialist at Data Treehouse; author and educator in SHACL and ontology design
Data Treehouse
Episode: Veronika Heimsbakk: Connecting Data Engineering and Knowledge Architecture – Episode 48
Joe Reis
Data engineering expert and author, known for Fundamentals of Data Engineering; discussed as guest in the episode
Episode: Joe Reis: Fighting “Context” and Other Tech-Industry Hype – Episode 47
Robert Sanderson
Professor and the senior director of Digital Cultural Heritage at Yale University
Yale University
Episode: Robert Sanderson: Building Yale’s Cultural Heritage Knowledge Graph – Episode 46
Max Garber
Partner and technical consultant at Pantopix, focused on knowledge graphs and AI for industrial content
Pantopix
Episode: Max Gärber: Agentic AI Built on a Knowledge Graph Foundation – Episode 45
Quentin Reul
Director of AI Strategy and Solutions at Expert.AI
Expert.AI
Episode: Quentin Reul: Solving Business Problems with Neuro-Symbolic AI – Episode 44
Jim Hendler
Pioneering AI expert and professor at Rensselaer Polytechnic Institute
Rensselaer Polytechnic Institute
Episode: Jim Hendler: Scaling AI and Knowledge with the Semantic Web – Episode 43
Tara Raafat
Head of metadata and Knowledge Graph Strategy at Bloomberg, experienced ontologist and Knowledge Graph practitioner.
Bloomberg
Episode: Tara Raafat: Human-Centered Knowledge Graph and Metadata Leadership – Episode 41
Alex Bertails
Software Engineer at Netflix, involved in the UDA initiative
Netflix
Episode: Alexandre Bertails: The Netflix Unified Data Architecture – Episode 40

Host

Larry Swanson
Host of Knowledge Graph Insights; frequent speaker on knowledge graphs and semantic technology.

Chart Rankings

How this podcast ranks in the Apple Podcasts, Spotify and YouTube charts.

Apple Podcasts
#191
Canada/Technology
Apple Podcasts
#97
Denmark/Technology
Apple Podcasts
#104
South Korea/Technology
Apple Podcasts
#177
Belgium/Technology

Talking Points

Recent interactions between the hosts and their guests.

Max Gärber: Agentic AI Built on a Knowledge Graph Foundation – Episode 45
Q: What are the main agents in your architecture and their roles?
The planning agent orchestrates which other agents to deploy, the content agent retrieves service documentation and related materials, and the troubleshooting agent leverages past solutions to suggest steps for current issues.
Max Gärber: Agentic AI Built on a Knowledge Graph Foundation – Episode 45
Q: How does the architecture balance the need for fast, accurate facts from the knowledge graph with the flexibility of language models?
The core graph and ontology drive factual retrieval, while the LLM-based components (RAC) handle natural language interaction and generation, with a controlled percentage of content that may be altered to ensure reliability. When necessary, the system can fall back to graph-based queries to preserve accuracy.
Max Gärber: Agentic AI Built on a Knowledge Graph Foundation – Episode 45
Q: Can you talk a little bit about how you got involved with Zeiss and what you do to help them?
The goal was to give service technicians fast access to relevant documentation and procedures by consolidating manuals, tickets, and metadata into a single access point, then progressively adding intelligent recommendations.
Quentin Reul: Solving Business Problems with Neuro-Symbolic AI – Episode 44
Q: Does that kind of consideration come into the architectures that you're crafting?
It comes in multiple ways, since symbolic AI helps enforce strict rules, and LLMs can deal with complexities and exceptions, creating a robust architecture.
Quentin Reul: Solving Business Problems with Neuro-Symbolic AI – Episode 44
Q: What are some of the obvious complementary natures of them that you're putting together in the projects you're working on?
LLMs have revolutionized knowledge-based population by allowing faster extraction and relationship mapping from unstructured to structured data.

Audience Metrics

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Frequently Asked Questions About Knowledge Graph Insights

What is Knowledge Graph Insights about and what kind of topics does it cover?

This program features in-depth conversations with leading thinkers and practitioners in semantic technology, ontology design, linked data, and the semantic web. Episodes center on building and using knowledge graphs across sectors—from cultural heritage and news to industrial AI and life sciences—covering practical patterns, interoperability, data modeling, and the impact of AI on knowledge management. Notable strengths include a blend of academic rigor and real-world implementation, with guests ranging from university researchers to senior engineers at major tech and enterprise organizations, making it a strong fit for listeners who design, deploy, or study knowledge-graph solutions and related AI systems.

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Which podcasts are similar to Knowledge Graph Insights?

These podcasts share a similar audience with Knowledge Graph Insights:

1. Super Data Science: ML & AI Podcast with Jon Krohn
2. Latent Space: The AI Engineer Podcast
3. Practical AI
4. Decoder with Nilay Patel
5. GraphGeeks Podcast

How many episodes of Knowledge Graph Insights are there?

Knowledge Graph Insights launched 2 years ago and published 49 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.

How do I contact Knowledge Graph Insights?

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What guests have appeared on Knowledge Graph Insights?

Recent guests on Knowledge Graph Insights include:

1. Daniel Davis
2. Veronika Heimsbakk
3. Joe Reis
4. Robert Sanderson
5. Max Garber
6. Quentin Reul
7. Jim Hendler
8. Tara Raafat

To view more recent guests and their details, simply upgrade your Rephonic account. You'll also get access to a typical guest profile to help you decide if the show is worth pitching.

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