Deep web mobile search method, server and system

A mobile search and server technology, applied in the field of mobile search, can solve the problem of low novelty of content data and achieve the effect of real-time search

Inactive Publication Date: 2010-07-28
HUAWEI TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The disadvantages of this access method are: 1) Since the Deep Web content data is not obtained through the real-time access form, but the content data is regularly grabbed from the form, and then the captured content data is stored in the search server, the content data The freshness (freshness) is not high; 2) Since a large-scale storage space is required to store the crawled content data, and a huge index library is required to store and maintain the index of these content data, a large-scale storage is required space
The disadvantage of this access method is that it is necessary to specify the target database to be searched when searching, and only a small number of specified databases can be integrated

Method used

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  • Deep web mobile search method, server and system
  • Deep web mobile search method, server and system
  • Deep web mobile search method, server and system

Examples

Experimental program
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Effect test

Embodiment 1

[0029] Such as figure 1 Shown, the deep web mobile search method of the embodiment of the present invention, described method comprises the following steps: obtain the member search engine representative value (step S101) of Deep Web member search engine; Receive the search request that client sends, and from institute Obtain search request information from the above search request (step S102); calculate the matching degree between the search request and the member search engine according to the search request information and the member search engine representative value, and obtain the matching degree from the member search engine according to the matching degree Select a member search engine from the set to search for content data (step S103); send the searched content data to the client (step S104). Wherein, step S101 and step S102 can be exchanged.

[0030] Combine below Figure 2A , Figure 2B with image 3 This embodiment will be described in detail.

[0031] The me...

Embodiment 2

[0047] Such as Figure 4 As shown, the deep web mobile search server of the embodiment of the present invention includes: representative value obtaining unit 101 is used to obtain the member search engine representative value of Deep Web member search engine; search request receiving unit 102 is used to receive the search request sent by the client, And obtain the search request information from the search request; the member engine selection unit 103 is used to calculate the matching degree of the search request and the member search engine according to the search request information and the representative value of the member search engine, and according to the matching degree Select a member search engine from the set of member search engines to search for content data; the search result output unit 104 is configured to send the searched content data to the client.

[0048] Such as Figure 5 As shown, the member search engine selection unit 103 includes: a category matching...

Embodiment 3

[0062] Metasearch Engine (Metasearch Engine) is an engine that calls other independent search engines, and Metasearch Engine is the integration, calling, control and optimization of multiple independent search engines. Relative to the meta search engine, the independent search engine that can be used is called a member search engine (Member Engine).

[0063] Such as Image 6 Shown, the deep web mobile search system of the embodiment of the present invention comprises: Surface Web member search engine 401 and Deep web member search engine 402, search server 500 and client 600, search server 500 and Surface web member search engine 401 and Deep web respectively The web member search engine 402 and the client 600 are connected.

[0064] The embodiment of the present invention realizes the method of automatically selecting the member search engine for searching according to the matching degree of the representative value of the Deep Web member search engine and the customer searc...

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Abstract

The embodiment of the invention provides a deep web mobile search method, a server and a system. The method comprises the following steps: obtaining member search engine representing values of deep web member search engines; receiving search requests sent by a client, and obtaining search request information from the search requests; calculating the matching degree of the search requests and the member search engines according to the search request information and the member search engine representing values, and selecting the member search engines from the member search engine set according to the matching degree for carrying out content data search; and sending the searched content data to the client. The invention is used for integrating the deep web member search engines, realizing the representing of the deep web member search engines and automatically selecting the member search engines for search through the deep web member search engine representing values.

Description

technical field [0001] The present invention relates to a mobile search technology, in particular to a Deep Web mobile search technology, specifically a Deep Web mobile search method, server and system. Background technique [0002] At present, Deep Web has received more and more research and attention. Deep Web (deep web, also known as hidden web, dark web; invisible web, invisible web) refers to the content hidden behind HTML forms on the Internet. The counterpart of Deep Web is Surface Web, which usually refers to static content on web pages. Common web crawlers of existing search engines can only crawl static Surface Web content, and special crawlers or special processing are required for Deep Web content. [0003] In the process of realizing the present invention, the inventor found that the Deep Web contains about 900 billion web pages, and the current largest search engine can crawl all the content including Deep Web and Surface Web about 20 billion pages. It can be ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
CPCG06F17/30864G06F16/951
Inventor 王玮董晓艺顾翀胡汉强张飞孟卫一
Owner HUAWEI TECH CO LTD
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