Parsing has gained good practice, has become an integral part of the search, gained experience in the safe use of regular expressions and has led to new ideas. Simply analyzing the content of sites is no longer as relevant as before. For example, the user expects more from search results than just a list of sites where the desired keyword is found.
Search engines have already learned not only how to conjugate keywords, but also gained understanding of the context in the natural sense, and not in the sense of the content of the web page. The quality of search results has gained real practical value.
Search Formulas and Parsing Logic
Regular expressions are strange and unusual forms of recording what you need to find and parse. A regexp error is very expensive. But regulars quickly gained the trust of developers who learned to use them safely and practically. At the same time, the positions of ordinary string operations did not shake at all.
Parsing has become familiar and in demand. A site parser is any collection and analysis of information. It can be a third-party product or an in-house written algorithm for a specific application. This is a popular solution for analyzing the prices of similar products from competitors. This is a collection of information on new software products. This is an analysis of the dynamics of exchange rates and many other tasks.
A site parser is the desire to reflect on your web resource what the visitor is used to. Analysis and search of the key points that make competitors successful, and the use of this information to achieve their goals.
Information Flows and Visitor Interest
Information, like an avalanche, grows in volume along the way, and in the context it changes continuously. But the information that is already outdated remains available. The Internet has gained memory, that is, search results remember the past no worse than they find the present.
Internet resources are aging, but not disappearing. The general informational picture is formed, like rocks, in layers. At the same time, there is no guarantee that at a certain point on the Internet a dozen new resources of dubious content have covered truly outdated content.
The history of IT technology knows many events that have been unreasonably forgotten, and it took time to revive interest in them. Today, a parser is not just a debriefing, it is an assessment of the situation, and the definition of relevance points in the general flow of information.
The volume of visitors' interest in a particular topic is a great idea for parsing interests . Summarizing the dynamics of the visitor’s movement on his own resource or offering the visitor a question, suggestion, link or other option to attract attention to determine the likely reaction, the developer switches to a different level of work. A parser is no longer a content analysis, but a study of a fresh reaction to specific initiatives.
Earlier, parsing simply flew volumes of information, but today it offers questions and explores the answers to them.
Points of relevance in the flow of information
OOP, clouds, artificial intelligence, protection against DDoS attacks, but where is the guarantee that this is relevant and in demand. All of the above and much more are already known to some extent used, and parsing for such phrases will not open anything new.
But OOP in particular is not just JavaScript or PHP. Both in that and in another language there are serious differences that are significant, perfectly complement each other and do not contradict the use. A PHP parser can pass data into the JavaScript of the browser and get back the response of the visitor.
A visitor is a person, and this person carries a factor of relevance, his actions in any case express his interest in solving a specific problem, searching for information on a specific task.
A modern parser is not a regular expression, it is a way to use a visitor (person) to achieve a specific goal. Let a man seek, not a machine. Why waste energy and come up with sophisticated parsing mechanisms when the natural intellect itself wants to help the investigation and inquiry.
Determining the point of relevance in a person will turn out much better than with any fastest, but artificially intelligent computer. Progress has not yet reached real intelligent machines, so why not use man’s natural capabilities?
Oracle and Oracle
Mediums in life and programming are found to this day: mysticism is eternal and in demand. Oracle really exists: following a difficult and significant path, Oracle created a galaxy of excellent software products, performed a large amount of quality work. This is wonderful, but at the beginning of the computing era, the ideas that Oracle came to today were already there, but they were undeservedly forgotten.
Today, there are ideas too. And this time, the authority of the leader can also close them.
Today, the parser is an objective tool for analyzing the situation, and one should not appeal to a purely software solution. The developer must be intuitive before putting the search for the right solution at the heart of the algorithm.
Even a schoolchild can now parse hypertext or natural text without even writing a single line of code. But it will be a static version of parsing. These will be yesterday's algorithms.
Today, the parser is the idea of researching ideas, not a static information ballast. Information is always the ocean, but the goal of the ship is to deliver cargo and passengers, and not to sail along the waves of progress and information phenomena.
In your free time from your main job, you can build a VKontakte parser and find satisfaction in finding any solutions. But the society is not there, it will not help to find a solution on how to create indirect inheritance in the implementation of OOP in the PHP language and determine the concept of the existence of systems of objects on the server when the visitor who initiated its creation is absent.
And this, by the way, is very relevant, although not everyone understands it.
Not everything is relevant, which is understandable
Intelligence in its development always goes through three stages and slows down in the fourth. First three:
- situation - situational intelligence;
- reproduction - reproducing intelligence;
- contextual intelligence - the solution to real problems.
The fourth stage of natural intelligence is the ability to apply active knowledge in new territories. Where the foot of man and progress has not set foot. It is difficult but possible. The theory of solving inventive problems more than thirty years ago showed the reality and practicality of the transformation of knowledge from one area to another.
It was then a really significant event and, probably, this is a good reason to think about it today.