Contemporary society is characteriz, among other things, by the fact that it collects a large amount of information about itself. It is this freely accessible information that is the driving force of the modern age. Governments and private companies invest heavily in information services and information systems and databases. For companies, such investments often bring higher profits than simple production activities. It is therefore not surprising that the number of people engag in activities relat to obtaining and providing information is growing faster than in any other group of fields. The result is the Internet – an ever-growing network of open information sources.
However, the value of information
Increase with its quantity, but depends on its relevance. People ne accurate and relevant information for their decisions, which should be as responsible as possible. However, trying to find some specific information in the Internet environment is sometimes similar to looking for the proverbial nele in an ever-growing haystack. Briefly, this problem could be defin as a situation where, on the one hand, the amount of disparate, unsort information increases uncontrollably, and on the other hand, the ability to organize sets of information into a simple, clear, elegant structure decreases in proportion to the volume of data .
Possible without search engines
The first solution to find your way around the Internet was website catalogs. Such catalogs still exist, but it is not humanly possible to supplement them and keep them up-to-date. Unfortunately, their increasingly comprehensive data indexes quickly ruc the relevance of search results. This was only chang in 1998 by the Google search engine, which rat websites and then rank the qatar phone number data search results according to this rating. Sites with the most links are rank highest. Logically: if there are a lot of links to an information source, it will probably be popular, and if it is popular, it will probably be of high quality and deserves a high Page Rank (i.e. page value).
However, even Page Rank (or Alexa Rank, S-Rank and others similar) does not indicate relevance, it is only a preference mark. One more step ne to be taken – to “teach” search engines to understand the content of the website. It’s not as absurd as it might seem – an HTML document is semantically structur using HTML tags. These tags have a specific meaning. Some of them feature feback sharing page from one headings, page title, page description, i.e. elements that tell what the page is about, what it concerns, which is important for assessing its relevance to the query.
Current search engines are bas on this principle, a combination of website evaluation and a semantic approach. And it works pretty well, although search engines still haven’t been perfect enough to actually understand the queries. It may never by lists be possible, the main problem is getting enough information potential from the usually very short queries that users enter. Another negative aspect is directly relat to this – ultiple meanings of words. It is therefore necessary to find new ways.