Blending The Digital Video Business with Web 3.0 – Helping Business Grow with Visual Story Telling!

What’s Web 3.0

Web 3.0 is the next step in the evolution of the Internet and Web applications, The Semantic Web provides a common framework that allows data to be shared and reused across application, enterprise, and community boundaries “Wikipedia”

WEB 3.0

Web 3.0 is changing the way we use the Internet, Computers understand the meaning of what we publish on the Web
Learn about the concept of Web 3.0 and Web 3.0 development here is a full introduction to web 3.0

Why Digital Video Business is important in the Web 3.0 ERA

Now we’re entering Web 3.0 Era, which is mobile, In this Era we should be prepared for the challenges and adapt to the big shift and the tremendous change to save time and improve work quality . The Mobile Web 3.0 has elements that build upon prior eras, but it also has several distinct and different elements from what’s come before.  Some of these distinct elements of the Mobile Web 3.0 era include real-time, ubiquitous (always connected, always with you), location aware, sensors, tailored, smaller screen, and high quality camera and audio.

videolaptop_832058741

How we are Blending the digital Video Business with Web 3.0

Proudly the year 2014 & 2015 was a tech evolutionary years of Our InsideOut Group introducing a new wave of semantic technologies aiming to integrate real-time data through different platforms:

Our semantic Innovative Products:

Wordlift:

Wordlift is a WordPress Plug-in to organize post and pages adding facts, text and media to build beautifully structured web sites.WordLift publishes your content as Linked Open Data following Tim Berners-Lee‘s Linked Data PrinciplesWordLift is a semantic editor for WordPress.

wordlift

WordLift adds semantic annotations and combines information publicly available as linked open data to support the editorial workflow by suggesting relevant information, images and links.

Download Wordlift now and reach your maximum potential audience

HelixWare Online Video Platform:

HelixWare is a robust streaming platform that makes online video publishing easy, turns WordPress into a Video Hosting platform, supports live and makes videos discoverable, searchable, and beautifully organized.

helixware

Helixware is the streaming platform built for live & on-demand streaming. Its customers are online publishers, hosting providers, telco providers, broadcasters & TV stations as well as media startups

Try out HelixWare for Free!

Helping Business Grow with Video:

InsideOut Today has always the commitment to Support the community As part of Our Corporate entrepreneurship Responsibility to support entrepreneurship in all fields with continuously sharing knowledge and experience about the Latest digital media Technologies and the best practices for Digital media and social marketing

pablo (10)

We are super excited to be an active partner for Riseup Summit for the third in year in a row! This year, the summit’s slogan is “The world is coming to Cairo” and on the opposite side we shall be broadcasting the summit to the whole world! Our main support to riseup is that we are providing HD live streaming for the main sessions and workshops. We shall also be doing an interesting workshop about personal branding on the 13th so we wish to see you all there. Stay tuned on this page for more updates to come!

meetup

Following RiseUp we are holding a meetup about Online Video Business in the Web 3.0 Era!

 

WordLift 3.0: A brief semantic story – part 2

Classifications help us find the material we are looking for.

Here is the part 1 of this article.


By now, the web has such a great amount of content that it has become impossible to apply homogeneous classification schemes to organize knowledge and make it available; unless only a  specific domain is considered (more than 2,5 million new articles are published  each and every day).

Classification schemes are structures that use  results and relations as information to be added to  content. The following four types can be identified: hierarchical, tree, faceted, according to reference models (or paradigms).

Structured information storage is ultimately aimed at improving human knowledge.

Our goal with WordLift consists in developing an application that will structure content so as to simultaneously represent various classification methods for machines, enabling the latter to organize the content that is published on digital networks so as to  make it usable in different ways.

Due to the impasse met by semantic technologies, introduced in part 1, in the first phase of our analysis we excluded the digital world as the mandatory recipient of our solution.

Therefore, during the first phase we looked to the classification systems that mankind has used to organize its knowledge before the computing era; then we considered the evolution of faceted interfaces; the technologies that put the different web environments into reference with each other; and what is the consolidated on the web regarding the considered topics (interlinking with dbpedia, freebase, geonames and methodologies required by the search engines to classify and publish content).

It’s not easy to identify the answers; especially because the essential technological component is increasingly and continually evolving. In the book “Organizzare la Conoscenza (in Italian)… already mentioned in the previous post, at a certain point in Chapter 2  the essential categories – those having various facets in common and valid for all disciplines – are introduced.

They are introduced by the Indian mathematician  Shiyali Ramamrita Ranganathan, who was the first – around 1930 – to talk about this analysis, consisting in breaking down a topic into components and then building it up again based on a code. He chose five essential categories: space and time, on which everyone agrees; energy, referring to activities or dynamism and indicating the ‘action’ in semantics; matter, for example of a material and its property; personas to indicate the main subject of that context, even when it’s not a human being.

These categories are considered abstract, but nevertheless we used them to design the back-end interface for the editors, and mapped them to the corresponding types in the schema.org vocabulary.

WordLift is indeed an editor built on top of the universally recognised vocabulary of concepts published by http://schema.org/, consisting so far of more than 1,200 items divided into nine essential categories: Action, CreativeWork, Event, Intangible, Medical Entity, Organization, Person, Place, Product.

In this November 2015 the schema.org vocabulary has over 217 million pages (URLs) containing a total of more than six billion triples.

WordLift 3.0 is a semantic editor that analyses content and automatically suggests metadata according to schema.org vocabulary categories that we have somewhat simplified for users, dividing them in this first experimental phase into four essential categories: Who (Person, Organization), Where (Place), When (Event), What (CreativeWork, Product, Intangible). However, users can add any amount of results to those suggested by the application, thus creating a personal vocabulary within the application.

The next release, which will complete the experimental phase in January 2016, will allow to assign different levels of importance to the results, creating a hierarchical and tree classification (by using the mainEntity that schema.org has created to mark articles).

For the future we are considering the Dewey (Dewey Decimal Classification) hierarchical classification that is used in all libraries across the world.

This is the general process that has led us to design a solution in which semantic technologies work jointly with relational technologies to automatically associate a set of metadata, or a semantic graph, to a specific content.

Identifying the technological development and services for users was not simple, but on the other hand the maturation and affirmation of the Open Data Linked cloud and of dbpedia (freebase, geonames) was essential to enable the WordLift 3.0 editor to generate reusable datasets.

[the first blog post of this brief Semantic Story is here