What is Web 3.0?

Some Internet experts believe the next generation of the Web will make tasks like your search for movies and food faster and easier. Instead of multiple searches, you might type a complex sentence or two in your Web 3.0 browser, and the Web will do the rest. In our example, you could type “I want to see a funny movie and then eat at a good Mexican restaurant. What are my options?” The Web 3.0 browser will analyze your response, search the Internet for all possible answers, and then organize the results for you. The concept sounds like an integration of artificial intelligence, machine learning and reasoning, with a combination today and tomorrow’s technologies and performance.

LinkedIn CEO: “Well, there’s been a long, long laundry list of candidates for what one might think of what is Web 3.0, and it’s completely uninteresting from a viewpoint of semantic categorization but it’s interesting from a viewpoint of innovation and invention. And it’s really kind of like where, where will the great new applications be built? Kind of what’s the foundational elements of them that will be part of how we change hundreds, millions of people’s lives, even billions of people’s lives.”

And the progression, I think, goes among like this, which is Web 1 is search for files, you know, HTML, PDF, etc, download them where inner activity was this strange place we go in cyberspace. Web 2 is applications based on your real names. So on Web 1.0 when you went to an AOL chatroom or something, you were an anime fan or, you know, you know, San Francisco, you know, cafe goer, or something like that. And in Web 2, you actually read Hoffman, or, you know, you know, your real identity, your real relationships.

And I think what Web 3 comes out of, cause the most interesting of all the candidates is mobile, but it’s kind of obvious, like mobile’s transforming the world, we always have in our pocket except for on stage. And but what’s interesting about it is, I think that the platform part of it will be data. It’s data that we generate explicitly, like putting into social networking platforms or blogs or tweets. It’s data that we generate implicitly, turning on our phone in a location or checking in, even. And then data that is analyzed. And what I wanted to do by throwing my hat into this race, was not so much try to join the race or win the race as much as focus on this is where some massive innovation will happen that will transform our lives.

Wikipedia’s technical contributors explain that the intent of this application is to enhance the usability and usefulness of the Web and its interconnected resources by creating Semantic Web Services, such as:

• Servers that expose existing data systems using the RDF and SPARQL standards. Many converters to RDF exist from different applications. Relational databases are an important source. The semantic web server attaches to the existing system without affecting its operation.
• Documents “marked up” with semantic information (an extension of the HTMLtags used in today’s Web pages to supply information for Web search engines using web crawlers). This could be machine-understandable information about the human-understandable content of the document (such as the creator, title, description, etc.) or it could be purely metadata representing a set of facts (such as resources and services elsewhere on the site). Note that anything that can be identified with a Uniform Resource Identifier (URI) can be described, so the semantic web can reason about animals, people, places, ideas, etc. There are four semantic annotation formats that can be used in HTML documents; Microformat, RDFa, Microdata and JSON-LD.[17] Semantic markup is often generated automatically, rather than manually.
• Common metadata vocabularies (ontologies) and maps between vocabularies that allow document creators to know how to mark up their documents so that agents can use the information in the supplied metadata (so that Author in the sense of ‘the Author of the page’ won’t be confused with Author in the sense of a book that is the subject of a book review).
• Automated agents to perform tasks for users of the semantic web using this data.
• Web-based services (often with agents of their own) to supply information specifically to agents, for example, a Trust service that an agent could ask if some online store has a history of poor service or spamming.

Such services could be useful to public search engines, or could be used for knowledge management within an organization. Business applications include:

• Facilitating the integration of information from mixed sources
• Dissolving ambiguities in corporate terminology
• Improving information retrieval thereby reducing information overload
• Identifying relevant information with respect to a given domain[18]
• Providing decision making support

lifeboat.com helpfully translates this to:

Ubiquitous Connectivity

• Broadband adoption
• Mobile Internet access
• Mobile devices

Network Computing

• Software-as-a-service business models
• Web services interoperability
• Distributed computing (P2P, grid computing, hosted “cloud computing” server farms such as Amazon S3)

Open Technologies

• Open APIs and protocols
• Open data formats
• Open-source software platforms
• Open data (Creative Commons, Open Data License, etc.)

Open Identity

• Open identity (OpenID)
• Open reputation
• Portable identity and personal data (for example, the ability to port your user account and search history from one service to another)

The Intelligent Web

• Semantic Web technologies (RDF, OWL, SWRL, SPARQL, Semantic application platforms, and statement-based datastores such as triplestores, tuplestores and associative databases)
• Distributed databases — or what I call “The World Wide Database” (wide-area distributed database interoperability enabled by Semantic Web technologies)
• Intelligent applications (natural language processing, machine learning, machine reasoning, autonomous agents)

Web 3.0. Using the same pattern as the above Wikipedia definition, Web 3.0 could be defined as: “Web 3.0, a phrase coined by John Markoff of the New York Times in 2006, refers to a supposed third generation of Internet-based services that collectively comprise what might be called ‘the intelligent Web’ — such as those using semantic web, microformats, natural language search, data-mining, machine learning, recommendation agents, and artificial intelligence technologies, which emphasize machine-facilitated understanding of information in order to provide a more productive and intuitive user experience.”

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