Token: WGD

All You Need Is a Browser

ICO dates
Start date: 2018-07-31
End date: 2018-10-31

Registrated in: Czech Republic

Platform: Ethereum
Type: ERC20


WRIO categories
Platform Internet Cryptocurrency Big Data Smart Contract
WRIO token sale
KYC passing required Yes | Whitelist Yes | Restriction for countries No
Tokens for sale 310,000,000
Token distribution in ICO
Sold tokens 10,000,000
Price 1 ETH = 20,000 WGD
Minimal investment 0.1 ETH
Acceppting ETH
WRIO Internet OS is a decentralized 'semantic web' platform, for next generation Web 3.0 browsing.

“I have a dream for the Web [in which computers] become capable of analyzing all the data on the Web – the content, links, and transactions between people and computers. A ‘Semantic Web’, which makes this possible, has yet to emerge, but when it does, the day-to-day mechanisms of trade, bureaucracy and our daily lives will be handled by machines talking to machines. The "intelligent agents" people have touted for ages will finally materialize.”
—  Tim Berners-Lee , the inventor of the World Wide Web

This White Paper describes the current state of the WRIO Internet OS project (the “Project”), its near-term objectives and its long term ambitions and goals. As at the date of this White paper, the Project is in its infancy at the minimum viable product (MVP) phase. You can find a brief description of the MVP in the Advanced Guide.

We are approaching the era of the Internet of Things (IoT) and“Big Data”. Automated processing of data will be imperative. We believe this new era will require a platform that will unite the web of machines and users. The key to this unification will be a machine-readable data format, that not only enables processing of data in automatic mode, but also paves the way for the user-centric Web 3.0.

1.1    Introducing WRIO Internet OS
WRIO Internet OS (or simply WRIO OS) is a Web 3.0 blockchain-powered platform enabling a next-generation browsing experience.
Web 3.0 = Semantics + Blockchain + Smart Contracts
Semantics: the study of meaning in language. The Semantic Web is a web of data that can be processed directly and indirectly by machines.
Blockchain: is an open, distributed ledger that can record transactions between two parties efficiently and in a verifiable and permanent way. The Blockchain provides a secure database that stores assets of users and automated IoT systems. It enables the creation of a new type of semantic web search engines; a set of algorithms used by blockchain-based automated systems.
Smart Contracts: are self-executing algorithms of interaction with the blockchain. The Smart Contracts provide a set of algorithms used by blockchain-based automated systems.

1.2    Open source
WRIO Internet OS is an open source project and the global Community (“webRunes”) represents the man power driving it forward. If you would like to contribute as well, take a look at our Github repositories to see how you could contribute and make a difference!

1.3    Key features
Semantics: a global and decentralized pool of open, shareable, reusable and machine-readable semantic data
Hubs: free, simple development spaces for conceptually new types of websites
Web 2.0 support: social media and services (1800+ domains)
Simplicity: rich functionality through cloud/distributed mashup applications
Global: blockchain as a metadatabase
Single sign-in: blockchain addresses function as IDs; secure one-click authorization
Decentralization: content is censor-proof, block-proof and spam-proof
Security: no malware or viruses
Spam-proof: reputation system and Web of Trust based on the blockchain
Privacy and anonymity: user-controlled disclosure
webDashboard: user-centric and predictive: webDashboard
Predictive: Predictive UI and search
Curation: automatic data processing and distribution; content monetization
We expect semantics, automatic data processing, reputation, privacy, P2P and blockchain-powered dApps to become the new trends that will replace many of the visionary technology projects of the past. In the future, we expect to see Web 3.0 versions of Google, Skype, eBay, PayPal, Facebook, Uber, etc., using a single distributed source of machine-readable data pool.

2 · Mission
2.1    Problem
The World Wide Web is a paradox. The sites you visit everyday use natural language, but they are written in code and run by machines. Even though machines play a key role in creating and maintaining the web, the computers themselves really can't make sense of all this information. They can't read, see relationships or make decisions like people. Web 2.0 is focused on the ability for people to collaborate and share information online. But the problem with Web 2.0 is that computers simply display blocks of data as instructed by code. The machines cannot understand the meaning of what they are displaying. They only know how to display it.
This creates an issue, as it is difficult to fully realise the value of information on the web. Rather than having all data stored in a structured and usable way, we rely on keywords, links and search engines to give us a vague impression of what might be contained on any given website.
For example, information about local sports events, weather, flights, baseball statistics, or television guides... all of this information is available and presented by numerous sites, but all in HTML. The problem with that is in some contexts it is difficult to use this data the way one might want to do so.

2.2    Solution — Semantics
The next evolution of the Web is the Semantic Web. The Semantic Web proposes to help computers "read" and use the web more like humans. The idea is pretty simple — metadata added to web pages can make the existing World Wide Web machine-readable. This isn’t artificial intelligence and it wont make computers self-aware, but it will give machines the tools to find, exchange and, to a limited extent, interpret information. It's an extension of, not a replacement for, the World Wide Web. The Semantic Web improves web technologies by helping computers interpret the meaning of words, rather than relying on keywords or numbers. So the Semantic Web is, in a way, a huge engineering solution. But it is actually more than that. Where Web 2.0 is focused on people, the Semantic Web is focused on machines. The web requires a human operator, using computer systems to perform the tasks required to find, search and aggregate its information. It's impossible for a computer to do these tasks without human guidance because web pages are specifically designed for human readers. The Semantic Web is a project that aims to change that by presenting web page data in such a way that it is understood by computers, enabling machines to do the searching, aggregating and combining of the web's information — without a human operator.
These challenges are overcome by Semantic Web technology. Data is part of the web and the web directly talks with data to data instead of documents as in the Web 2.0. Hence, the Semantic Web is also known as a Web of Data. According to Sir Tim Berners-Lee, Semantic Web is “an extension of the current Web in which information is given well-defined meaning, better enabling computers and people to work in cooperation”. Semantic Web or Web 3.0 has changed the way we present information into the web. Semantic Web uses Linked Data format to store its data and allows data to be self-described in a more structured way so that the computer can easily process and analyse the data: the Semantic Web is a mesh of meaningful data comprehensible to both humans and machines, on a global scale.
Thus, machines are not only able to process long strings of characters and index tons of data. They are also able to store, manage and retrieve information based on meaning and logical relationships. So, semantics adds another layer to the web and is able to show related facts instead of just matching words.
2.3    Semantics use cases
By formalizing meaning independently of data, semantic technology enables machines to “understand”, share and reason with data in order to create more value for us, humans. Semantic graph databases (which are based on the vision of the Semantic Web), make data easier for machines to integrate, process and retrieve. This, in turn, enables organizations to gain faster and more cost-effective access to meaningful and accurate data, to analyze that data and turn it into knowledge. They can further use that knowledge to gain business insights, apply predictive models and make data-driven decisions.
Various businesses are already using semantic technology and semantic graph databases to manage their content, repurpose and reuse information, cut costs and gain new revenue streams.
Publishing: In media and publishing, the BBC, the FT, Springer Nature and many others use semantic publishing to make data integration and knowledge discovery more efficient
Big Data: In healthcare and life sciences, Astrazeneca and other big pharma companies make use of semantic technology for early hypotheses testing, monitoring of adverse reactions, analytics in patient records and much more
Data-driven Decisions: In the financial industry and insurance sector, many companies have started adopting technologies to semantically enrich content and process complex and heterogeneous data
New Knowledge: In e-commerce, the automotive industry, the government and public sector, technology providers, the energy sector, the services sector and many more are employing semantic technology processes to extract knowledge from data by attributing meaning to various datasets
Global: With Web 3.0, information is more connected thanks to semantic metadata. As a result, the user experience evolves to another level of connectivity that leverages all the available information
Artificial Intelligence: Combining this capability with natural language processing, in Web 3.0, computers can understand information like humans in order to provide faster and more relevant results. They become more intelligent to satisfy the needs of users
Meaning. This is what semantics is all about. As early as in 2007, Sir Berners-Lee told Bloomberg:
”Semantic technology isn’t inherently complex. The Semantic technology language, at its heart, is very, very simple. It’s just about the relationships between things.”
Chances are the ‘relationships between things’ will help organizations manage data more efficiently and make a better sense out of it.

2.4    Human-machine interpreter
The Project’s mission is to serve as the human-machine interpreter.

A machine-readable web is the first prerequisite for computers to learn how to process natural language. This project will implement subsequent measures to help solve the Chinese Room problem. This relates to the development of semantic field and machine learning algorithms (to be discussed individually after the announcement of our Individual Assistant project).

The Project’s mission is based on a solid interrelation of facts about the modern web, its challenges, and solutions - all with the aid of advanced technologies.

01 FACT. The Age of Internet of Things: The rapid increase in the number of Internet users and smart devices
02 PROBLEM. Generated information doubles every 18 months: Avalanche-like growth in volume of content and unstructured data
03 MAGIC. Structured data (semantics): Structured data is a standardized format for providing information about a page and classifying the page content; for example, on a recipe page, the ingredients, the cooking time and temperature, the calories, and so on
04 SOLUTION. Semantic Web (Global Data Pool): "The Semantic Web provides a common framework that allows data to be shared and reused across application, enterprise, and community boundaries." The term was coined by Tim Berners-Lee for a web of data that can be processed by machines — that is, one in which much of the meaning is machine-readable
05 TECHNOLOGY. Blockchain (MetaDatabase): Blockchain stores assets and metadata. Metadata is data that provides information about other data. Metadata is used to mark and record structured data in the key:value format, which is the basis for automatic data processing
06 FEATURE. Automatic data processing and content distribution (Interest Matrix): Automatic correlation, classification, and cataloging of web data against users’ interest matrices will allow the creation of predictive user-centric services and search engines of new generation
07 FUNCTIONS. User-centric services and predictive search engines: Functions and interactivity are provided through cloud and distributed applications while all user actions and browsing are performed through a personal WRIO Internet OS webDashboard
08 TOOL. WRIO Internet OS: WRIO Internet OS based on these principles will enable new markets of cloud/distributed apps and affordable terminal devices with a browser-driven OS
09 FUTURE. Thin-client terminal devices (Individual Assistant): The era of smart predictive systems that will give rise to a new generation of web
10 OBJECTIVE. Evolution to secure machine-readable distributed Web 3.0: The accomplishment of the objective will serve as the technical foundation for the implementation of ideas of libertarian project The Alternative
11 MISSION. To serve as the human-machine interpreter: Thus, to accomplish the mission we need a platform capable of upgrading nowadays’ Web 2.0 to machine-readable Web 3.0

WRIO news, social
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WRIO Roadmap

Q2 2015
Proof of Concept.
Q4 2015
Q2 2016
Q2 2016
First WRIO Internet OS node .
Q2 2016
A global data pool, first hubs.
Q4 2016
Credits and Crediting.
Q3 2017
White Paper release.
Q4 2017
Core. Web 3.0 content management system.
Q1 2018
MVP, Bounty campaign.
Q2 2018
webGold crowdsale.
Q3 2018
WRIO Internet OS ICO: WRIO OS tokens for webGold.
Q4 2018
Exchange. Stock Exchange will offer WGD / CRD pair.
Q4 2018
Profile, Single Sign-in, Keystore.
Q4 2018
Web of Trust.
Open Copyright.
Interest Matrix.
DAO management system. Provision of tools necessary to create DAOs. Smart Contract Wizard.
Mobile app, WRIO OS browser.
Recommender System.
Semantic Field.
Predictive Search.
dApps market.
The Alternative announcement.
Dark web support: VPN, Tor, I2P, etc.
Individual Assistant.
Alexey Anshakov
Alexey Anshakov Chief Executive Officer

Michael Bilenko
Michael Bilenko Senior Developer

Vladimir Spirin
Vladimir Spirin Full-stack Developer

Umair A. Shahid
Umair A. Shahid Linux Administrator

Alwaleed AlShehail
Alwaleed AlShehail Chief Marketing Officer

Jillian Zavitz
Jillian Zavitz Digital Marketing, PR Strategist

Benjamin Anderson
Benjamin Anderson Marketing Manager

Roy Sasson
Roy Sasson Growth Hacker

Mikhail Kruchkov
Mikhail Kruchkov Technical Writer and Translator

Vitali Hatalski
Advisor Vitali Hatalski Tech Consultant, Investor

Igor Anshakov
Advisor Igor Anshakov Advisor, Business Consultant

Wulf Kaal
Advisor Wulf Kaal Advisor

Jillian Zavitz
Jillian Zavitz
Digital Marketing, PR Strategist
Content Marketing Manager
Wulf Kaal
Wulf Kaal
Token Model Advisor
Advisor (Blockchain Tech), HighTechBlock
Entrepreneur, Technologist, Professor
Blockchain advisor
?rypto economics, blockchain innovation and law expert. Advisor to several EU and US crypto companies. Ex-Goldman Sachs, Cravath.
Advisor. PR and Social Outreach
Blockchain Expert
Blockchain Expert