A collection of linked data on the Web to make searches more effective. Just as Web pages are linked together via hypertext, the goal of the Semantic Web is to link all available public data.
As information has grown exponentially on the Web, search engines routinely return countless results when, very often, only one answer is required. Wading through the articles has turned people into research analysts whether they were ready for the task or not.
More Summaries Than Before
However, results from search engines increasingly deliver a concise summary first, followed by all the Web page links. These summaries are derived from semantic-oriented knowledge bases. In addition, starting in 2024, Google began presenting an AI overview as the first item on the results page.
URIs and RDF Models
The Semantic Web uses URIs to identify data, the RDF data model to structure relationships and numerous ontological vocabularies to provide definitions. See ontology, URI, RDF, semantic browser and semantic search.
Who's Developing the Semantic Web?
Knowledge bases structured with semantic meaning are being developed by government, private industry, as well as communities. Google's knowledge base is the world's largest (see Google Knowledge Vault). See virtual assistant, Wikidata, Freebase and DBpedia.
Is AI the New Semantic Web?
Not really. Although AI models contain the sum total of the world's information and deliver an answer to almost any question, they have not yet been developed to link each element within a topic to elements in every other topic on the globe.