The Joe Reis Show Juan Sequeda & Jesus Barrasa - Unlocking Knowledge with Graphs
14 snips
Apr 24, 2025 Juan Sequeda, Principal Scientist at data.world, and Jesus Barrasa, Field CTO at Neo4j, dive deep into the fascinating worlds of graphs and AI. They unpack the nuances of semantics and ontologies, revealing how these concepts shape knowledge representation. The duo contrasts RDF and property graphs, shedding light on their pivotal roles in data modeling. They also discuss how graph modeling enhances generative AI's ability to process unstructured data, ultimately transforming the future of data governance.
AI Snips
Chapters
Transcript
Episode notes
Long Academic Friendship
- Jesus Barrasa and Juan Sequeda share a long-standing academic and friendship bond through PhD advising and research in knowledge graphs.
- Their collaboration spans over 20 years blending semantics, databases, and ontology engineering.
Explicit vs Opaque Semantics
- Semantics is the meaning behind data, and making that meaning explicit is critical for formalizing and using data effectively.
- Vectors provide opaque semantic representations, while symbolic methods offer explainability, making both complementary in AI.
Semantics as Data Transformation
- Semantics can be seen as a function that transforms data by injecting meaning, often guided by logical formulas.
- Combining symbolic and opaque AI methods like neuro-symbolic approaches can enhance explainability and inference.