“The Semantic Web” appeared in Scientific American in May 2001, written by Tim Berners-Lee, the inventor of the World Wide Web and director of the World Wide Web Consortium (W3C), together with James Hendler and Ora Lassila. The version cited here is the author copy hosted by Lassila. The article set out a vision in which web content carries explicit, machine-readable meaning rather than just human-readable text and layout.
The argument is that today’s web is built for people to read, so software can fetch a page but cannot reliably understand what it says. The Semantic Web would add a layer of structured data: facts expressed in a common framework, the Resource Description Framework (RDF), and organized by shared vocabularies called ontologies that define what terms mean and how they relate. With meaning made explicit, software agents could reason over information from many sources, combine it, and act on it, for example arranging a sequence of medical appointments by understanding the relationships between doctors, locations, and times.
The full vision of autonomous reasoning agents never arrived as imagined, but its machinery became deeply influential. W3C standards such as RDF, OWL ontologies, and SPARQL grew out of it, and the approach of describing entities and their relationships in a shared graph fed directly into modern knowledge graphs used by search engines and assistants.
Why business readers should care: the Semantic Web pushed the idea that data should describe its own meaning so machines can combine and reason over it. That idea underlies the knowledge graphs, linked data, and structured-data standards that power search results, product catalogs, and the grounding of AI systems in trustworthy facts.