Semantic Web

The Semantic Web is a collaborative movement led by the international standards body, the World Wide Web Consortium (W3C). The standard promotes common data formats on the World Wide Web. By encouraging the inclusion of semantic content in web pages, the Semantic Web aims at converting the current web dominated by unstructured and semi-structured documents into a “web of data“. The Semantic Web stack builds on the W3C’s Resource Description Framework (RDF).

Why the Semantic Web? A few steps back

February 2009, Long Beach, CA, Sir Tim Berners-Lee, the founding father of the web is on a TED stage asking for help from the audience. In fact, he is envisioning the formation of a new web, built over the past net. A Semantic Web based on open linked data. Now the Semantic Web is here, and its technologies are available to digital marketers to make their SEO strategy more effective. How did we get there?

On august 1991 the first website went live. Today well over a billion websites comprise the web.

In less than a decade the number of websites exploded. It comprised millions of pages. Sir Tim Berners-Lee figured out he could connect web pages with what we all know today as hypertext. However, surfing the web was still limited because you could just go from one page to the next through links: the effort it took to find what you were looking for was massive.

That is why many ventured out in finding a way to search through those pages to find specific content to queries.

On that premise, at the end of the 90s search engines, like Google, sprouted up. In fact, PageRank was the foundation of Google, an algorithm that could rank pages on the web based on the popularity of each page.

The more quality backlinks a website received the more it could rank higher in the SERP. Backlinks are still the backbone of the web. However on that backbone a new web blossomed.

Back in 2012, futurist Ray Kurzweil arrived at Google, with one mission: make search engines understand human language. From that quest Google updated its algorithm in 2013, with Hummingbird and later on in 2015, AI became a major factor for search RankBrain.

It was a revolution. In fact, even though Google looks at more than 200 factors to assess the ranking of a page, it also uses Artificial Intelligence to rank those pages. In other words, Google looks more and more at the intention behind a user query based on the context rather than keywords.

For instance, if I type in the search box “french fries” I may be looking for something to eat or just the story behind the name. Of course, if I do this search at 8 a.m. in the morning most probably I intend to know more about the historical facts.

If I do the same search at 8 p.m., I may be looking for something to eat for dinner. But how does the search engine know what is the context? It reads human language, through Natural Language Processing (NLP).