updated 19 September 2018

WRIO Internet OS is a decentralized 'semantic web' platform, for next generation Web 3.0 browsing. All you need is a browser !

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Status: ended
Public sale: 31 Jul`18-31 Oct`18
Cap: 600 000 USD
Goal: 600 000 USD
Price: 1 WGD = 0.00005 ETH
Blockchain: Bitcoin
Offering type: Utility
Country: Czech Republic
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About WRIO

WRIO Internet OS is an open-source Ethereum-based platform (PaaS) for cloud and distributed mashup apps (SaaS) that creates a secure browser-driven operating system. It provides an API-free, global, decentralized pool of open, shareable, reusable, and machine-readable semantic data, featuring a user-centric Web 3.0.

Advantages of WRIO Internet OS:

For users: security and privacy - spam-proof, malware & virus-free browser-driven OS; full control of personal data and assets stored in the blockchain and utilizing the Profile; custom set of applications using a single sign-on and uniform predictive UI; no need to download, update, install or setup any software; user-centric web 3.0 browsing experience; full access to a free and censor-proof global semantic data pool, featuring Dark web support: VPN, Tor, I2P, etc.; proactive filtration of incoming information and automation of web activity using Individual Assistant; Access to a Dashboard, customized with an automatic arrangement of bookmarks based on your preferred content using AI.

For authors:  fully automatic search for relevant readers through Recommender System; monetization of creative activities, using the Crediting function; easy funding of your creations, using crowdfunding functionality; comments and promotion through advanced tweets; authorship acknowledgement through saving the date, link to, and hash-sum of the creation in blockchain through the digital fingerprint functionality; content is censor-proof and block-proof.

For entrepreneurs: replacement of obsolete web 2.0 sites with web 3.0 hubs without a string of code: web development becomes redundant through the capabilities of web 3.0, eliminating setup and technical support issues as well. Functionality is rich through cloud/distributed apps; automatic connection to the global semantic data pool. Linked Data — availability of third-party content without copy/paste or API; semantic structured pages ensure high organic search positions (top of search results); anonymous though all-encompassing statistics and analytics based on the Interest Matrix for efficient business operations; Offers which provide a substitute of expensive, untargeted, and inefficient adds.

For developers:  development of cloud/distributed apps using a global semantic data pool; single sign-in with free access to the decentralized pool of users; security boasting private user data which is effectively protected through blockchain cryptography; browser-driven nature of WRIO OS guarantees the absence of cross-platform, cross-browser, cross-device, and responsive problems. Frontend development is not required as a ready-made set of controls and elements is provided. UI is determined by a theme selected by the user. All developers’ efforts are focused on the development and support functions (backend); cloud services will guarantee the user always uses an up-to-date version with the absence of compatibility issues without need of the support of the previous version; zero piracy, simple monetization of applications, and automatic search for relevant users based on behaviors and interests; cloud/distributed web 3.0 apps marketplace provides a free and secure market that does not have censorship or requirements. Regulated through the Rating and Web of Trust.




MVP: https://wrioos.com/#About Github: https://github.com/webrunes Telegram Channel: https://t.me/webRunes Telegram Group: https://t.me/webRunesGroup Twitter: https://twitter.com/webRunes Facebook: https://www.facebook.com/webRunes

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