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Published Sep 3, 2019

Episode 116: The Semantic Web with Jim Hendler

Discover the transformative power of AI in semantic web development with expert Jim Hendler, as he explores its evolution, ethical challenges, and the foundational technologies like RDF and OWL that enable seamless data integration and interconnected web applications.
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  • Historical Context

    , a pivotal figure in the development of the semantic web, shares insights into its historical context. He highlights the early technologies and collaborations with Tim Berners-Lee that laid the groundwork for this transformative web concept 1. The semantic web, built on HTTP and XML, has evolved into what some now call Web 3.0, enabling web applications to perform complex tasks that were previously challenging with relational data systems 2.

    One of the big changes that's happened over the past couple years, the term Web 3.0 has been coined recently to talk about sort of the applied early.

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    This evolution marks a significant shift in how web technologies are utilized, with a growing number of startups leveraging these advancements.

       

    Current Adoption

    The adoption of semantic web technologies is gaining momentum among modern web developers and companies. explains that tools like RDF, OWL, and SPARQL are now widely available, transitioning from research labs to practical applications 3. Companies are offering large-scale proprietary infrastructures, making it easier for developers to integrate these technologies into existing systems 4.

    We're really at the point now where finding the tools is not the hard part and putting them together is relatively straightforward.

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    This accessibility is fostering a broader understanding and implementation of semantic web principles across various industries.

       

    Terminology & Standards

    Understanding the semantic web requires familiarity with its core terminologies and standards. describes the semantic web as an infrastructure that allows data, not just documents, to be linked and integrated on the web 5. Key components like RDF and OWL facilitate this integration by providing a framework for data description and ontology creation 2.

    It's really about building a new infrastructure for the web to make far more of the data work together.

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    These standards are essential for achieving the semantic web's goal of enhanced machine-to-machine communication and data interoperability.

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