Web page coding language automatic identification method and device for embedded type browser

Abstract

The method includes steps: (1) obtaining data of partial web pages, and head of protocol from protocol stack of embedded type browser; (2) parsing data of web page, and head of protocol in order to obtain metadata of codes of the specified web page; (3) using metadata obtained from data of web page and metadata obtained from head of protocol to determine codes to be used for parsing text at first time based on priority; (4) parsing current data block based on the adopted codes, and accounting errors occurred in parsing procedure, and carrying out parsing procedure again by selecting codes to be used in condition when error occurs. The invention discloses method for automatic recognizing coding language for web page and parsing method with higher efficiency and success ratio when embedded type browser is in limited memory and computing power.

Description

technical field [0001] The invention relates to the field of communications, in particular to a method and device for automatic identification of web page coding languages ​​used in embedded browsers. Background technique [0002] Embedded browsers come from browsers used in desktop personal computers (PCs), and are mostly used in embedded devices such as set-top boxes, information appliances, and mobile information terminals. [0003] Different from browsers on personal computers, embedded browsers can obtain resources such as display area size, processor computing power, memory size, cache size, fonts, and language files are very limited, and the content that needs to be processed is almost the same as It is the same on a personal computer, so there is a big difference from a personal computer browser in network connection mode, content analysis, and page layout. Especially on mobile information terminals, in addition to supporting the traditional Internet, the embedded b...

AI Technical Summary

Problems solved by technology

But it requires user participation, which is not convenient enough. In addition, it also needs to re-parse the webpage, which is a waste of resources

The implementation of automatic decoding for the latter scheme varies greatly. Due to the limited resources of the embedded system, the most common method is to build a default language. Once it cannot be recognized, use this language to decode. This method often causes garbled characters to be displayed.

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