At various points in time and in various contexts, the Semantic Web has been referred to as the Linked Data Web, the Web of Data, Web 3.0, the Enterprise Information Web, and even the Giant Global Graph.
The term “Semantic Web” refers to W3C's vision of the Web of linked data. Semantic Web technologies enable people to create data stores on the Web, build vocabularies, and write rules for handling data. Linked data are empowered by technologies such as RDF, SPARQL, OWL, and SKOS.
Rich Search Results. One of the most obvious examples of the semantic web is right in your search results: rich search results. Rich search results refer to a wide variety of features that appear in a Google SERP beyond just the normal search snippet of title, URL and description.
Google's semantic search attempts to improve on the search formula intended to produce relevant search results for web users by creating rules that define a searcher's intent and the contextual meaning of search terms.
Semantic means the power of recognizing, understanding, perceiving, and then accordingly responding. We know Web 3.0 is based on Artificial intelligence and Machine learning where semantic plays an integral role as it defines the interactive level.
The Semantic Web is the web of connections between different forms of data that allow a machine to do something it wasn't able to do directly. Thanks to their capacity to boost the generation, integration and understanding of data, the Semantic Web concepts were rapidly adopted in data and information management.
Siri, Apple's voice recognition assistant, is the best example of the Semantic Web.
The World Wide Web—commonly referred to as WWW, W3, or the Web—is an interconnected system of public webpages accessible through the Internet. The Web is not the same as the Internet: the Web is one of many applications built on top of the Internet.
Semantic HTML elements are those that clearly describe their meaning in a human- and machine-readable way. Elements such as