Searching the web directly

Searching the web directly

Searching the web directly

Search engines have been around since the dawn of the Internet. The giants of the search engine world work by spidering the web and storing this information in a database which creates what is now termed a Big Data Silo. This database is owned by the individual search engines and provides them with an extremely valuable resource, as Google has demonstrated with their power on the web. When we want to find something on the web we use their search facility to ‘search their database’ so in reality they decide and control what we see by using algorithms to access their database and return the results in a way they think is best for us. We are not seeing unbiased results directly from the web.

The problems of searching the web

The content found all over the web is mostly written by people, not computers. Herein lies the fundamental problem that has faced search engines from the very beginning. When a human publishes content onto the web it is converted to machine language so that computers can then display the information to the user.  Sir Tim Berners Lee, the inventor of the World Wide Web Web intended the web to be searched using what is known as Semantic Technology, a method of ‘understanding’ the searchers requests and returning rich meaningful content, however the first search engines only used keywords which did not and still do not return relevant results in a search. The difficulty that has been experienced on the web so far is that for a search engine to find semantic data, the computer language being used needs to structure the content in a particular way and that was never done from the start. So the internet is a mess of  what is now known as ‘Structured and Unstructured’ content and there is a lot of it! A pure semantic search engine will only find ‘Structured’ content. A traditional search engine will only find ‘Unstructured’ content. Yes some of the search engines are trying to introduce this but still using keywords and still storing this in their database.

Live Relevant, Private, Search Results

When we make a search on the web we want:

  • Relevant, latest, and unbiased results that are specific to our request
  • We want privacy in our searches, we don’t want search engines second guessing what we want and try to deliver things we dont want
  • We don’t want search engines providing advertising to us by ‘monitoring our searches’ unless we ask for it.
  • We want to see results that do not just contain the keywords we have entered and biased by the skills of an SEO expert
  • We want to search the web directly not look through a Big Data silo managed by a thrid party
  • We want our search engine to be intelligent and understand what we are looking for
  • We want our results displayed graphically not in a bunch of text lines – which hasn’t changed since the beginning of the web

All this has evaded most so far on the web. The secret lies in a search application that can understand your request, find the relevant topics of interest directly on the web synthesising both structured and unstructured web content and more importantly do this automatically whilst we carry on with something else.

It is Yirika’s goal to do just that, we are very  close to launch and are very excited about how this could change the face of the search engine.


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Changing the face of the search engine

Everyday we search, research or just try to find things on the web. We have been educated to use search engines such as Google to find the things that interest us. We have been taught that if we use particular keywords then Google will find everything on the web that contains these keywords. However, the same keywords are used for many different things.