The original vision for the "Semantic Web" is now more than two decades old. In this talk I reflect on the history of this idea, discuss its adoption, and reflect on what went right and -- more importantly -- what went wrong. Since the Semantic Web forms the underpinnings of modern knowledge graphs, it may be time to redefine or "reimagine" the vision: Given that enterprise knowledge graphs are the modern manifestation of the Semantic Web, what has changed from the original ideas? Will LLMs finally enable the intelligent agents the original vision discusses? How do Labeled Property Graphs factor into this, and what is the future of the relevant standards?
Target Audience
IT executives, data scientists, academic researchers, technology policymakers, and developers engaged in Semantic Web, AI, and data architecture.
Desired Feedback
Speaker Details
I am a Principal Graph Technologist in the Amazon Neptune team at AWS, mostly focusing on knowledge graphs. Earlier, I was a Managing Director at State Street, where I headed ontology engineering. Good part of my career I have worked on AI, ontologies, the Semantic Web, graphs, and applications of these technologies to various problems, including mobile and ubiquitous computing (IoT) at the Nokia Research Center (NRC) and subsequently at Nokia Location & Commerce (later renamed HERE). I have been involved in various Semantic Web activities since 1996, and worked on various complex applications involving Knowledge Representation (KR) for a good 10 years prior to that.
Talk Title
Reflecting on the Semantic Web Vision
Session Overview
The original vision for the "Semantic Web" is now more than two decades old. In this talk I reflect on the history of this idea, discuss its adoption, and reflect on what went right and -- more importantly -- what went wrong. Since the Semantic Web forms the underpinnings of modern knowledge graphs, it may be time to redefine or "reimagine" the vision: Given that enterprise knowledge graphs are the modern manifestation of the Semantic Web, what has changed from the original ideas? Will LLMs finally enable the intelligent agents the original vision discusses? How do Labeled Property Graphs factor into this, and what is the future of the relevant standards?
Target Audience
IT executives, data scientists, academic researchers, technology policymakers, and developers engaged in Semantic Web, AI, and data architecture.
Desired Feedback
Speaker Details
I am a Principal Graph Technologist in the Amazon Neptune team at AWS, mostly focusing on knowledge graphs. Earlier, I was a Managing Director at State Street, where I headed ontology engineering. Good part of my career I have worked on AI, ontologies, the Semantic Web, graphs, and applications of these technologies to various problems, including mobile and ubiquitous computing (IoT) at the Nokia Research Center (NRC) and subsequently at Nokia Location & Commerce (later renamed HERE). I have been involved in various Semantic Web activities since 1996, and worked on various complex applications involving Knowledge Representation (KR) for a good 10 years prior to that.
Recording Consent
Workshop Potential
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