Charles Ivie, a Senior Graph Architect at Amazon Web Services with over 15 years in the knowledge graph community, debunks the myth that the semantic web has failed. He argues it's a 'catastrophically successful failure' with over half of the web utilizing RDF annotations. The discussion explores how RDF serves as a Rosetta Stone for knowledge representation, enabling better communication and innovative solutions. Ivie emphasizes the importance of domain-specific ontologies and the growing adoption of knowledge graphs in enterprises, showcasing their transformative potential.
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insights INSIGHT
Semantic Web's Massive Success
The semantic web is a massive success despite being labeled a failure by many.
Over 50% of web pages contain RDF, showing its vast adoption and impact.
insights INSIGHT
Why RDF Excels in Knowledge Representation
RDF uniquely allows representing knowledge in a machine-readable ontological model.
Unlike relational diagrams, RDF is not tied to specific technology, enabling flexible knowledge representation.
insights INSIGHT
RDF as Knowledge Translation Rosetta Stone
Knowledge recording evolved from human storytelling to machine-readable languages like RDF.
RDF serves as a Rosetta Stone translating human concepts into structures understandable by computers.
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Charles Ivie
Since the semantic web was introduced almost 25 years ago, many have dismissed it as a failure.
Charles Ivie shows that the RDF standard and the knowledge-representation technology built on it have actually been quite successful.
More than half of the world's web pages now share semantic annotations and the widespread adoption of knowledge graphs in enterprises and media companies is only growing as enterprise AI architectures mature.
We talked about:
his long work history in the knowledge graph world
his observation that the semantic web is "the most catastrophically successful thing which people have called a failure"
some of the measures of the success of the semantic web: ubiquitous RDF annotations in web pages, numerous knowledge graph deployments in big enterprises and media companies, etc.
the long history of knowledge representation
the role of RDF as a Rosetta Stone between human knowledge and computing capabilities
how the abstraction that RDF permits helps connect different views of knowledge within a domain
the need to scope any ontology in a specific domain
the role of upper ontologies
his transition from computer science and software engineering to semantic web technologies
the fundamental role of knowledge representation tech - to help humans communicate information, to innovate, and to solve problems
how semantic modeling's focus on humans working things out leads to better solutions than tech-driven approaches
his desire to start a conversation around the fundamental upper principles of ontology design and semantic modeling, and his hypothesis that it might look something like a network of taxonomies
Charles' bio
Charles Ivie is a Senior Graph Architect with the Amazon Neptune team at Amazon Web Services (AWS). With over 15 years of experience in the knowledge graph community, he has been instrumental in designing, leading, and implementing graph solutions across various industries.
Connect with Charles online
LinkedIn
Video
Here’s the video version of our conversation:
https://youtu.be/1ANaFs-4hE4
Podcast intro transcript
This is the Knowledge Graph Insights podcast, episode number 31. Since the concept of the semantic web was introduced almost 25 years ago, many have dismissed it as a failure. Charles Ivie points out that it's actually been a rousing success. From the ubiquitous presence of RDF annotations in web pages to the mass adoption of knowledge graphs in enterprises and media companies, the semantic web has been here all along and only continues to grow as more companies discover the benefits of knowledge-representation technology.
Interview transcript
Larry:
Hi everyone. Welcome to episode number 31 of the Knowledge Graph Insights Podcast. I am really happy today to welcome to the show Charles Ivie. Charles is currently a senior graph architect at Amazon's Neptune department. He's been in the graph community for years, worked at the BBC, ran his own consultancies, worked at places like The Telegraph and The Financial Times and places you've heard of. So welcome Charles. Tell the folks a little bit more about what you're up to these days.
Charles:
Sure. Thanks. Thanks, Larry. Very grateful to be invited on, so thank you for that. And what have I been up to? Yeah, I've been about in the graph industry for about 14 years or something like that now. And these days I am working with the Amazon Neptune team doing everything I can to help people become more successful with their graph implementations and with their projects. And I like to talk at conferences and join things like this and write as much as I can. And occasionally they let me loose on some code too. So that's kind of what I'm up to these days.
Larry:
Nice. Because you have a background as a software engineer and we will talk more about that later because I think that's really relevant to a lot of what we'll talk about.