AI Semantic Search Protocol SemaNet Approved by W3C: Search Engines Upgrade From Keyword Matching to Intent Understanding
W3C approves AI semantic search protocol SemaNet, defining standard formats for web content semantic annotation, enabling search engines to directly understand page intent rather than relying on keyword matching.
W3C approved the AI semantic search protocol SemaNet on December 4. The protocol defines a standardized web content semantic annotation format, allowing website owners to describe page core intent, applicable scenarios, and target audiences in a structured way.
Unlike existing Schema.org markup, SemaNet's annotations are designed for AI understanding. When indexing pages, search engines can directly parse the semantic vectors in SemaNet annotations, achieving the upgrade from "keyword matching" to "intent understanding." Google's VP of Search said SemaNet will improve search result relevance by approximately 35%, particularly for long-tail queries and multilingual search scenarios.
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