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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
Ontology
Semantics
Linkedin
Entity Resolution
Knowledge Representation
Ontologies
Machine Learning
Meta Grid
Philosophy
Enterprise Architecture
Llms

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

PublishesTwice monthlyEpisodes51Founded2 years ago
Number of ListenersCategories
BusinessTechnologyManagement

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Artwork for Knowledge Graph Insights

Latest Episodes

Lulit Tesfaye Generative AI has prompted a flurry of experimentation in enterprises, resulting in a parade of failed pilots, unproven PoCs, and unrealized return on investment. Lulit Tesfaye helps companies improve and optimize their AI capabilities ... more

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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 (UFO), the OntoUML pattern langua... more

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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

YouTube

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Recent Guests

Giancarlo Guizzardi
Professor at the University of Twente; leading thinker in semantics, ontology engineering, and explainable AI
University of Twente
Episode: Giancarlo Guizzardi: Ontology, Semantics, and Explainable AI – Episode 51
Ora Lassila
Co-chair of the RDF & Sparql Working Group at W3C
W3C RDF & SPARQL Working Group
Episode: Ora Lassila and Adrian Gschwend: RDF 1.2 Working Group Update – Episode 50
Adrian Gschwend
CEO at Qlevia; long-time RDF/Knowledge Graph practitioner
Qlevia; Zazuko; AWS Neptune
Episode: Ora Lassila and Adrian Gschwend: RDF 1.2 Working Group Update – Episode 50
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

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
#164
Sweden/Technology
Apple Podcasts
#166
Spain/Technology
Apple Podcasts
#192
Singapore/Technology
Apple Podcasts
#214
Denmark/Technology
Apple Podcasts
#216
Switzerland/Technology

Talking Points

Recent interactions between the hosts and their guests.

Ora Lassila and Adrian Gschwend: RDF 1.2 Working Group Update – Episode 50
Q: What motivated moving from the older reification approach to RDF 1.2's triple terms and the new reifies property?
The guests explain that triple terms allow referring to a statement as a first-class object, which simplifies reasoning, reduces verbose boilerplate, and enables more expressive querying and validation without forcing everyone to assert the same triples as ground truth. This shift makes reification more usable and scalable, addressing long-standing criticisms of the old approach.
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.

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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. Practical AI
2. GraphGeeks Podcast
3. Y Combinator Startup Podcast
4. Training Data
5. The a16z Show

How many episodes of Knowledge Graph Insights are there?

Knowledge Graph Insights launched 2 years ago and published 51 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.

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What guests have appeared on Knowledge Graph Insights?

Recent guests on Knowledge Graph Insights include:

1. Giancarlo Guizzardi
2. Ora Lassila
3. Adrian Gschwend
4. Daniel Davis
5. Veronika Heimsbakk
6. Joe Reis
7. Robert Sanderson
8. Max Garber

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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