CN107122466A - A kind of web documents querying method and system - Google Patents
A kind of web documents querying method and system Download PDFInfo
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- CN107122466A CN107122466A CN201710292463.3A CN201710292463A CN107122466A CN 107122466 A CN107122466 A CN 107122466A CN 201710292463 A CN201710292463 A CN 201710292463A CN 107122466 A CN107122466 A CN 107122466A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/951—Indexing; Web crawling techniques
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F16/33—Querying
- G06F16/332—Query formulation
- G06F16/3325—Reformulation based on results of preceding query
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Abstract
This application provides a kind of web documents querying method and system, this method includes：The query statement of user is responded, the index text list built in advance is shown；The index text list includes：The one-to-one relationship of at least one set of keyword and article；The first keyword inputted according to the user received and the index text list, search web documents corresponding with first keyword in database；When inquiring web documents corresponding with first keyword in database, the web documents are shown.The querying method is by the article pre-established and the corresponding relation of keyword, and the keyword inputted according to user can directly find corresponding article, makes to allow the information for obtaining oneself needs of reader's more convenient and quicker.Web documents querying method provided herein had not only allowed user to save the time but also had allowed web documents to be promoted.
Description
Technical field
The application is related to Internet technical field, more particularly to a kind of web documents querying method and system.
Background technology
At present, Internet user's popularity rate is more than half, and China Internet number of netizen is sure to occupy the first in the world.With the traditional matchmaker in the whole world
Body slump of disastrous proportions, Chinese network information transmission surmounts TV information communication turns into irreversible trend.
With continuing to develop for internet, many writers of new generation are emerged in the way of network writer, are read by network
The welcome of person.However, the article delivered for network writer, ununified Managed Solution, reader searches article on network
Also just as looking for a needle in a haystack, not only waste time and energy, and article content also is difficult to obtain retrieval well on network and effective
Propagate.
The content of the invention
In view of this, this application provides a kind of web documents querying method and system, to overcome network in the prior art
The problem of article searches inconvenience.
To achieve these goals, this application provides following technical scheme：
A kind of web documents querying method, this method includes：
The query statement of user is responded, the index text list built in advance is shown；The index text list includes：Extremely
The one-to-one relationship of few one group of keyword and article；
The first keyword inputted according to the user received and the index text list, are looked into database
Look for web documents corresponding with first keyword；
When inquiring web documents corresponding with first keyword in database, the web documents are carried out
Display.
It is preferred that, this method also includes：When not inquiring network corresponding with first keyword in database
During article, output prompting message is so that user inputs the second keyword and inquired about.
It is preferred that, the structure of the index text list includes：
Crawl meets the article of preset kind on the internet；
The article is subjected to Keywords matching processing in keyword dictionary, the corresponding keyword of the article is obtained；
The one-to-one relationship of the corresponding keyword of the article and the article is stored in as index relative described
Index text list.
It is preferred that, in addition to：The index relative is linked in the article.
It is preferred that, the article that the crawl on the internet meets preset kind includes：By PHP crawlers in interconnection
Online crawl meets the article of preset kind.
A kind of web documents inquiry system, the system includes：
Construction unit, for building index text list in advance, the index text list includes：At least one set of keyword
With the one-to-one relationship of article；
Response unit, the query statement for responding user shows the index text list；
Searching unit, for the first keyword and index text row according to the user input received
Table, searches web documents corresponding with first keyword in database；
Display unit, for when inquiring web documents corresponding with first keyword in database, by institute
Web documents are stated to be shown.
It is preferred that, the system also includes：Reminding unit, is not inquired and the described first key for working as in database
During the corresponding web documents of word, output prompting message is so that user inputs the second keyword and inquired about.
It is preferred that, the construction unit includes：
Placement unit, the article of preset kind is met for capturing on the internet；
Matching unit, for the article to be carried out into Keywords matching processing in keyword dictionary, obtains the article
Corresponding keyword；
Storage unit, for being closed the one-to-one relationship of the corresponding keyword of the article and the article as index
System is stored in the index text list.
It is preferred that, the construction unit also includes：Link unit, for the index relative to be linked into the article
In.
It is preferred that, the placement unit meets preset kind specifically for being captured on the internet by PHP crawlers
Article.
From above technical scheme, this application provides a kind of web documents querying method and system, the querying method
By the article and the corresponding relation of keyword pre-established, the keyword inputted according to user can directly find corresponding text
Chapter, makes to allow the information for obtaining oneself needs of reader's more convenient and quicker.Web documents querying method provided herein both allowed
User allows web documents to be promoted the saving time again.
Brief description of the drawings
In order to illustrate more clearly about the embodiment of the present invention or technical scheme of the prior art, below will be to embodiment or existing
There is the accompanying drawing used required in technology description to be briefly described, it should be apparent that, drawings in the following description are only this
The embodiment of invention, for those of ordinary skill in the art, on the premise of not paying creative work, can also basis
The accompanying drawing of offer obtains other accompanying drawings.
Fig. 1 is a kind of flow chart for web documents querying method that the embodiment of the present application one is provided；
Fig. 2 is a kind of flow chart for web documents querying method that the embodiment of the present application two is provided；
Fig. 3 is a kind of flow chart for structure index text list that the embodiment of the present application two is provided；
Fig. 4 is the flow chart for another structure index text list that the embodiment of the present application two is provided；
Fig. 5 is a kind of structure chart for web documents inquiry system that the embodiment of the present application three is provided；
Fig. 6 is a kind of structure chart for web documents inquiry system that the embodiment of the present application four is provided；
Fig. 7 is a kind of structure chart for construction unit that the embodiment of the present application four is provided；
Fig. 8 is the structure chart for another construction unit that the embodiment of the present application four is provided.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clear, complete
Site preparation is described, it is clear that described embodiment is only a part of embodiment of the invention, rather than whole embodiments.It is based on
Embodiment in the present invention, it is every other that those of ordinary skill in the art are obtained under the premise of creative work is not made
Embodiment, belongs to the scope of protection of the invention.
To overcome the problem of web documents search inconvenience in the prior art, this application provides a kind of web documents issuer
Method and system, concrete scheme are as described below：
Embodiment one
The embodiment of the present application one provides a kind of web documents querying method, as shown in figure 1, Fig. 1 is the embodiment of the present application
A kind of flow chart of the one web documents querying method provided.This method includes：
S101：The query statement of user is responded, the index text list built in advance is shown；
Wherein, in this application, index text list includes：The one-to-one relationship of at least one set of keyword and article.
S102：The first keyword inputted according to the user received and index text list, are searched in database
Web documents corresponding with the first keyword；
S103：When inquiring web documents corresponding with the first keyword in database, web documents are shown
Show.
In this application, in order to allow reader to obtain the actual effect information more added with reference value, more related informations go ginseng
Examine so as to obtaining valuable information, newest information is obtained by the retrieval of data, allow reader's more convenient and quicker obtains oneself
The information that oneself needs, is also convenient for user and sees other relevant informations, look for and inquire about without taking a significant amount of time,
So not only allowed user to save the time but also allowed web documents to be promoted, the style of the page also allows people to feel comfortable.
From above technical scheme, the web documents querying method that the embodiment of the present application one is provided is by pre-establishing
Article and keyword corresponding relation, the keyword inputted according to user can directly find corresponding article, make to allow reader
The information for obtaining oneself needs of more convenient and quicker.When web documents querying method provided herein had both allowed the user to save
Between again allow web documents to be promoted.
Embodiment two
On the basis of embodiment one, the embodiment of the present application two provides a kind of more specifically web documents querying method,
As shown in Fig. 2 Fig. 2 is a kind of flow chart for web documents querying method that the embodiment of the present application two is provided.This method includes：
S101：The query statement of user is responded, the index text list built in advance is shown；
Wherein, in this application, index text list includes：The one-to-one relationship of at least one set of keyword and article.
In this application, the idiographic flow for building index text list is given, as shown in figure 3, Fig. 3 is implemented for the application
A kind of flow chart for structure index text list that example two is provided.The structure of index text list includes：
S1011：Crawl meets the article of preset kind on the internet；
Specifically, the article that crawl on the internet meets preset kind includes：By PHP crawlers on the internet
Crawl meets the article of preset kind.
S1012：Article is subjected to Keywords matching processing in keyword dictionary, the corresponding keyword of article is obtained；
S1013：Index text is stored in using the one-to-one relationship of the corresponding keyword of article and article as index relative
This list.
Specifically, construction method provided herein is built upon PHP (Hypertext Preprocessor, English
Supertext pre-processes language) on language basis, major ranking websites on internet are grabbed by PHP crawlers first
Heat search article information, obtain after article, further according to obtained article, to system database, (system database is i.e. for a large amount of numbers
According to the obtained keyword dictionary of analysis) data carry out Keywords matching processing, so as to obtain a kind of right of keyword and article
I.e. index relative should be related to, be saved in index text list, when a user conducts a search, can be inputted in front end page crucial
Word, then searches in database with index relative according to keyword and obtains the corresponding article of keyword.
Wherein, obtain the corresponding keyword of article specifically can obtain text by being analysed and compared to article content big data
Chapter central idea, and distribute suitable keyword to article.
Specifically, as shown in figure 4, Fig. 4 is the stream for another structure index text list that the embodiment of the present application two is provided
Cheng Tu.Its in addition to including the step shown in Fig. 3, in addition to：
S1014：Index relative is linked in corresponding article.
In this application, index relative can also be linked to corresponding article, in order to more quickly in database
This article is extracted, to show user.
S102：The first keyword inputted according to the user received and index text list, are searched in database
Web documents corresponding with the first keyword；
S103：When inquiring web documents corresponding with the first keyword in database, web documents are shown
Show；
S104：When not inquiring web documents corresponding with the first keyword in database, prompting message is exported
So that user inputs the second keyword and inquired about.
When the first keyword that user inputs can not find corresponding article in database again, prompting message can be exported
Inform that this keyword of user is not present, point out user to re-enter a new keyword, wherein, the second keyword can be with first
Keyword similar import, can also be completely uncorrelated, selects, does not limit in this application with specific reference to user's request.
From above technical scheme, the web documents querying method that the embodiment of the present application two is provided is by pre-establishing
Article and keyword corresponding relation, the keyword inputted according to user can directly find corresponding article, make to allow reader
The information for obtaining oneself needs of more convenient and quicker.When web documents querying method provided herein had both allowed the user to save
Between again allow web documents to be promoted.
Embodiment three
On the basis of embodiment one, the embodiment of the present application three provides a kind of web documents inquiry system, such as Fig. 5 institutes
Show, Fig. 5 is a kind of structure chart for web documents inquiry system that the embodiment of the present application three is provided.The system includes：Construction unit
201st, response unit 202, searching unit 203 and display unit 204, wherein,
Construction unit 201, for building index text list in advance；
Wherein, index text list includes：The one-to-one relationship of at least one set of keyword and article；
Response unit 202, the query statement for responding user shows index text list；
Searching unit 203, for the first keyword according to the user's input received and index text list, in number
According to lookup web documents corresponding with the first keyword in storehouse；
Display unit 204, for when inquiring web documents corresponding with the first keyword in database, by network
Article is shown.
Specifically, the present embodiment can be referred to mutually with the same or analogous ground of embodiment one, in the present embodiment no longer
Repeat.
Example IV
On the basis of embodiment three, the embodiment of the present application four provides a kind of more specifically web documents inquiry system,
As shown in fig. 6, Fig. 6 is a kind of structure chart for web documents inquiry system that the embodiment of the present application four is provided.The system includes：Structure
Unit 201, response unit 202, searching unit 203, display unit 204 and reminding unit 205 are built, wherein,
Construction unit 201, for building index text list in advance；
Wherein, index text list includes：The one-to-one relationship of at least one set of keyword and article.
Specifically, in the present embodiment, as shown in fig. 7, Fig. 7 is a kind of construction unit that the embodiment of the present application four is provided
Structure chart, the construction unit includes：Placement unit 2011, matching unit 2012 and storage unit 2013, wherein,
Placement unit 2011, the article of preset kind is met for capturing on the internet；
Placement unit meets the article of preset kind specifically for being captured on the internet by PHP crawlers.
Matching unit 2012, for article to be carried out into Keywords matching processing in keyword dictionary, obtains article correspondence
Keyword；
Storage unit 2013, for the one-to-one relationship of the corresponding keyword of article and article to be protected as index relative
There is index text list.
Specifically, structure principle provided herein is built upon PHP (Hypertext Preprocessor, English
Supertext pre-processes language) on language basis, major ranking websites on internet are grabbed by PHP crawlers first
Heat search article information, obtain after article, further according to obtained article, to system database, (system database is i.e. for a large amount of numbers
According to the obtained keyword dictionary of analysis) data carry out Keywords matching processing, so as to obtain a kind of right of keyword and article
I.e. index relative should be related to, be saved in index text list, when a user conducts a search, can be inputted in front end page crucial
Word, then searches in database with index relative according to keyword and obtains the corresponding article of keyword.
Wherein, obtain the corresponding keyword of article specifically can obtain text by being analysed and compared to article content big data
Chapter central idea, and distribute suitable keyword to article.
Specifically, as shown in figure 8, Fig. 8 is the structure chart for another construction unit that the embodiment of the present application four is provided.Except bag
Include outside structure as shown in Figure 7, in addition to：
Link unit 2014, for index relative to be linked in related article.
In this application, index relative can also be linked to corresponding article, in order to more quickly in database
This article is extracted, to show user.
Response unit 202, the query statement for responding user shows index text list；
Searching unit 203, for the first keyword according to the user's input received and index text list, in number
According to lookup web documents corresponding with the first keyword in storehouse；
Display unit 204, for when inquiring web documents corresponding with the first keyword in database, by network
Article is shown.
Reminding unit 205, it is defeated for when not inquiring web documents corresponding with the first keyword in database
Go out prompting message so that user inputs the second keyword and inquired about.
When the first keyword that user inputs can not find corresponding article in database again, prompting message can be exported
Inform that this keyword of user is not present, point out user to re-enter a new keyword, wherein, the second keyword can be with first
Keyword similar import, can also be completely uncorrelated, selects, does not limit in this application with specific reference to user's request.
Specifically, due to the querying method described in the present embodiment simultaneously corresponding embodiment two, therefore, the present embodiment and reality
Applying the same or analogous ground of example two can mutually refer to, and repeat no more in the present embodiment.
From above technical scheme, the web documents inquiry system that the embodiment of the present application four is provided is by pre-establishing
Article and keyword corresponding relation, the keyword inputted according to user can directly find corresponding article, make to allow reader
The information for obtaining oneself needs of more convenient and quicker.When web documents inquiry system provided herein had both allowed the user to save
Between again allow web documents to be promoted.
Finally, in addition it is also necessary to explanation, herein, such as first and second or the like relational terms be used merely to by
One entity or operation make a distinction with another entity or operation, and not necessarily require or imply these entities or operation
Between there is any this actual relation or order.Moreover, term " comprising ", "comprising" or its any other variant meaning
Covering including for nonexcludability, so that process, method, article or equipment including a series of key elements not only include that
A little key elements, but also other key elements including being not expressly set out, or also include be this process, method, article or
The intrinsic key element of equipment.In the absence of more restrictions, the key element limited by sentence "including a ...", is not arranged
Except also there is other identical element in the process including the key element, method, article or equipment.
The embodiment of each in this specification is described by the way of progressive, and what each embodiment was stressed is and other
Between the difference of embodiment, each embodiment identical similar portion mutually referring to.
The foregoing description of the disclosed embodiments, enables professional and technical personnel in the field to realize or use the application.
A variety of modifications to these embodiments will be apparent for those skilled in the art, as defined herein
General Principle can in other embodiments be realized in the case where not departing from spirit herein or scope.Therefore, the application
The embodiments shown herein is not intended to be limited to, and is to fit to and principles disclosed herein and features of novelty phase one
The most wide scope caused.
Claims (10)
1. a kind of web documents querying method, it is characterised in that this method includes：
The query statement of user is responded, the index text list built in advance is shown；The index text list includes：At least one
The one-to-one relationship of group keyword and article；
The first keyword inputted according to the user that receives and the index text list, searched in database with
The corresponding web documents of first keyword；
When inquiring web documents corresponding with first keyword in database, the web documents are shown
Show.
2. according to the method described in claim 1, it is characterised in that this method also includes：Do not inquired when in database
During web documents corresponding with first keyword, output prompting message is so that user inputs the second keyword and inquired about.
3. according to the method described in claim 1, it is characterised in that the structure of the index text list includes：
Crawl meets the article of preset kind on the internet；
The article is subjected to Keywords matching processing in keyword dictionary, the corresponding keyword of the article is obtained；
The one-to-one relationship of the corresponding keyword of the article and the article is stored in the index as index relative
Text list.
4. method according to claim 3, it is characterised in that also include：The index relative is linked into the article
In.
5. method according to claim 3, it is characterised in that the crawl on the internet meets the article of preset kind
Including：Capture the article for meeting preset kind on the internet by PHP crawlers.
6. a kind of web documents inquiry system, it is characterised in that the system includes：
Construction unit, for building index text list in advance, the index text list includes：At least one set of keyword and text
The one-to-one relationship of chapter；
Response unit, the query statement for responding user shows the index text list；
Searching unit, the first keyword of the user input received for basis and the index text list,
Web documents corresponding with first keyword are searched in database；
Display unit, for when inquiring web documents corresponding with first keyword in database, by the net
Network article is shown.
7. system according to claim 6, it is characterised in that the system also includes：Reminding unit, for when in database
In when not inquiring web documents corresponding with first keyword, output prompting message is so that user's input second is crucial
Word is inquired about.
8. system according to claim 6, it is characterised in that the construction unit includes：
Placement unit, the article of preset kind is met for capturing on the internet；
Matching unit, for the article to be carried out into Keywords matching processing in keyword dictionary, obtains the article correspondence
Keyword；
Storage unit, for the one-to-one relationship of the corresponding keyword of the article and the article to be protected as index relative
There is the index text list.
9. system according to claim 8, it is characterised in that the construction unit also includes：Link unit, for by institute
Index relative is stated to link in the article.
10. system according to claim 8, it is characterised in that the placement unit is specifically for passing through PHP crawlers
Crawl meets the article of preset kind on the internet.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201710292463.3A CN107122466A (en) | 2017-04-28 | 2017-04-28 | A kind of web documents querying method and system |
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| CN201710292463.3A CN107122466A (en) | 2017-04-28 | 2017-04-28 | A kind of web documents querying method and system |
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| CN111046129A (en) * | 2019-05-13 | 2020-04-21 | 国家计算机网络与信息安全管理中心 | Public number information storage method and retrieval system based on text content characteristics |
| CN112052309A (en) * | 2020-09-07 | 2020-12-08 | 深圳壹账通智能科技有限公司 | Text data retrieval method, related equipment and readable storage medium |
| CN112434148A (en) * | 2020-12-04 | 2021-03-02 | 房桂丽 | Intelligent robot response method and device based on artificial intelligence |
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