[[edit source](/w/index.php?title=Semantic_Web&action=edit&section=5 "Edit section's source code: Semantic Web solutions")] The Semantic Web takes the solution further. It involves publishing in languages specifically designed for data: [Resource Description Framework](https://en.wikipedia.org/wiki/Resource_Description_Framework "Resource Description Framework") (RDF), [Web Ontology Language](https://en.wikipedia.org/wiki/Web_Ontology_Language "Web Ontology Language") (OWL), and Extensible Markup Language ([XML](https://en.wikipedia.org/wiki/XML "XML")). HTML describes documents and the links between them. RDF, OWL, and XML, by contrast, can describe arbitrary things such as people, meetings, or airplane parts. These technologies are combined in order to provide descriptions that supplement or replace the content of Web documents. Thus, content may manifest itself as descriptive data stored in Web-accessible [databases](https://en.wikipedia.org/wiki/Database "Database"),[[20]](#cite_note-20) or as markup within documents (particularly, in Extensible HTML ([XHTML](https://en.wikipedia.org/wiki/XHTML "XHTML")) interspersed with XML, or, more often, purely in XML, with layout or rendering cues stored separately). The machine-readable descriptions enable content managers to add meaning to the content, i.e., to describe the structure of the knowledge we have about that content. In this way, a machine can process knowledge itself, instead of text, using processes similar to human [deductive reasoning](https://en.wikipedia.org/wiki/Deductive_reasoning "Deductive reasoning") and [inference](https://en.wikipedia.org/wiki/Inference "Inference"), thereby obtaining more meaningful results and helping computers to perform automated information gathering and research. An example of a tag that would be used in a non-semantic web page: ``` <item>blog</item> ``` Encoding similar information in a semantic web page might look like this: ``` <item rdf:about="https://example.org/semantic-web/">Semantic Web</item> ``` Tim Berners-Lee calls the resulting network of [Linked Data](https://en.wikipedia.org/wiki/Linked_Data "Linked Data") the [Giant Global Graph](https://en.wikipedia.org/wiki/Giant_Global_Graph "Giant Global Graph"), in contrast to the HTML-based World Wide Web. Berners-Lee posits that if the past was document sharing, the future is [data sharing](https://en.wikipedia.org/wiki/Data_sharing "Data sharing"). His answer to the question of "how" provides three points of instruction. One, a URL should point to the data. Two, anyone accessing the URL should get data back. Three, relationships in the data should point to additional URLs with data.

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  "text": "[[edit source](/w/index.php?title=Semantic_Web&action=edit&section=5 \"Edit section's source code: Semantic Web solutions\")]\n\nThe Semantic Web takes the solution further. It involves publishing in languages specifically designed for data: [Resource Description Framework](https://en.wikipedia.org/wiki/Resource_Description_Framework \"Resource Description Framework\") (RDF), [Web Ontology Language](https://en.wikipedia.org/wiki/Web_Ontology_Language \"Web Ontology Language\") (OWL), and Extensible Markup Language ([XML](https://en.wikipedia.org/wiki/XML \"XML\")). HTML describes documents and the links between them. RDF, OWL, and XML, by contrast, can describe arbitrary things such as people, meetings, or airplane parts.\n\nThese technologies are combined in order to provide descriptions that supplement or replace the content of Web documents. Thus, content may manifest itself as descriptive data stored in Web-accessible [databases](https://en.wikipedia.org/wiki/Database \"Database\"),[[20]](#cite_note-20) or as markup within documents (particularly, in Extensible HTML ([XHTML](https://en.wikipedia.org/wiki/XHTML \"XHTML\")) interspersed with XML, or, more often, purely in XML, with layout or rendering cues stored separately). The machine-readable descriptions enable content managers to add meaning to the content, i.e., to describe the structure of the knowledge we have about that content. In this way, a machine can process knowledge itself, instead of text, using processes similar to human [deductive reasoning](https://en.wikipedia.org/wiki/Deductive_reasoning \"Deductive reasoning\") and [inference](https://en.wikipedia.org/wiki/Inference \"Inference\"), thereby obtaining more meaningful results and helping computers to perform automated information gathering and research.\n\nAn example of a tag that would be used in a non-semantic web page:\n\n```\n<item>blog</item>\n```\n\nEncoding similar information in a semantic web page might look like this:\n\n```\n<item rdf:about=\"https://example.org/semantic-web/\">Semantic Web</item>\n```\n\nTim Berners-Lee calls the resulting network of [Linked Data](https://en.wikipedia.org/wiki/Linked_Data \"Linked Data\") the [Giant Global Graph](https://en.wikipedia.org/wiki/Giant_Global_Graph \"Giant Global Graph\"), in contrast to the HTML-based World Wide Web. Berners-Lee posits that if the past was document sharing, the future is [data sharing](https://en.wikipedia.org/wiki/Data_sharing \"Data sharing\"). His answer to the question of \"how\" provides three points of instruction. One, a URL should point to the data. Two, anyone accessing the URL should get data back. Three, relationships in the data should point to additional URLs with data.",
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