CN103902724B - A kind of search method of english literature - Google Patents
A kind of search method of english literature Download PDFInfo
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- CN103902724B CN103902724B CN201410142941.9A CN201410142941A CN103902724B CN 103902724 B CN103902724 B CN 103902724B CN 201410142941 A CN201410142941 A CN 201410142941A CN 103902724 B CN103902724 B CN 103902724B
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Abstract
The invention discloses the search method of a kind of english literature, including: create cache table, storage table and multiple retrieval unit on the server；Retrieving first, client upload English crucial clump to be retrieved is to server；All with on server for key clump the first retrieval bars are mated, the english literature of the retrieval unit association belonging to the first retrieval bar being positioned at top ten high for matching degree is stored in cache table；All with on server for key clump the second retrieval bars are mated, the english literature of the retrieval unit association belonging to the second retrieval bar being positioned at top ten high for matching degree is stored in cache table；The ID of the retrieval unit of all english literatures association in cache table is associated with crucial clump with current time, and in storage table, all english literatures in cache table is sent to client, empties buffer area.The english literature search method of present invention design, not only high with keyword relevance to be measured, and retrieval rate is fast.
Description
Technical field
The present invention relates to the search method of a kind of english literature.
Background technology
Cyber-net constantly develops, and the whole world enters the epoch of the big fusion of information.Research-on-research this almost every day
Will search english article, to understand up-to-date scientific development trend, we want quickly to recognize external scientific research
Dynamically it is necessary to the document constantly reading foreign latest, but the article number that current English searching system often retrieves
Amount is too many and degree of association is the highest, causes the biggest puzzlement to reader.
A kind of method that refer to retrieval in Chinese Patent Application No. is 201110112548.1, it mainly utilizes N-
Gram language model, although improve the degree of association of retrieval, but, this search method data volume is huge, needs the biggest clothes
Business device support, and the quantity of the pertinent literature retrieved is the hugest, need retrieval personnel in hand picking, and this inspection
Suo Fangfa is not directed to English retrieval, so the degree of association to English retrieval is not the highest.
Summary of the invention
The present invention is directed to problem present in the most English retrieval, it is provided that the search method of a kind of english literature.
The technical scheme that the present invention provides is:
A kind of search method of english literature, including:
Step 1, creating cache table, storage table and multiple retrieval unit on the server, every english literature associates one
Retrieval unit, all includes ID, english literature typing time, the first retrieval bar and the second retrieval for any one retrieval unit
Bar, described first retrieval bar is all nouns in the exercise question of the english literature by the association of described retrieval unit and sincere verbal phrase
Becoming, described second retrieval bar includes all nouns and sincere verb in the english literature text that described retrieval unit associates, the
Each noun in two retrieval bars associates with its frequency number occurred in the english literature that described retrieval unit associates；
Step 2, retrieve first, on client upload English crucial clump to be retrieved to server, utilize segmenter to delete
Except the non-noun in crucial clump and non-solid conation word, any one crucial clump at least include a noun and one sincere dynamic
Word；
All with on server for key clump the first retrieval bars are mated, by the first inspection being positioned at top ten high for matching degree
The english literature of the retrieval unit association belonging to rope bar stores in cache table；
All with on server for key clump the second retrieval bars are mated, by the second inspection being positioned at top ten high for matching degree
The english literature of the retrieval unit association belonging to rope bar stores in cache table；
The ID of the retrieval unit of all english literatures association in cache table is associated with crucial clump with current time, and deposits
Store up in storage table, all english literatures in cache table are sent to client, empty buffer area；
Step 3, when carry out non-retrieve first time, on client upload English crucial clump to be retrieved to server；
Crucial clump is mated with the crucial clump in storage table on server, it may be judged whether exist with to be retrieved
The crucial clump being stored in storage table that key word faciation is same, if do not existed, then carries out step 2,
If existing, then when searching whether to exist the english literature typing after the current time of this key clump association
Between, if not existing, then the english literature of the retrieval unit association belonging to the ID that will associate with this key clump is sent to client,
If existing, then the retrieval unit association belonging to the english literature typing time after the current time this key clump associated
English literature associates the english literature of the retrieval unit association belonging to ID and merges into merging collection with this key clump, deletes storage table
In this key clump and the ID associated with this key clump and current time, carry out step 2 merging concentration.
Preferably, in the search method of described english literature, in described step 2, by key clump and server
The detailed process of all first retrieval bar couplings is:
The matching degree of all nouns that the noun in a, the crucial clump of statistics includes with each first retrieval bar, filter with
The noun matching degree is zero first retrieval bar in key word, is placed on same by the first retrieval bar that is identical for matching degree and that be not zero
In one the first coupling group, if the number of the first retrieval bar is less than or equal to ten in high first three of matching degree first coupling group,
Then english literatures of the retrieval unit association belonging to these the first retrieval bars are stored in cache table, if high first three of matching degree
The number of the first retrieval bar in individual first coupling group more than ten, then carries out b；
Sincere verb in b, the crucial clump of statistics is retrieved matching degree in result and is positioned at three first of front three and mates with a
The matching degree of all sincere verb that each first retrieval bar includes in group, by front ten first retrieval bar institutes high for matching degree
The english literature of the retrieval unit association belonged to stores in cache table；
Wherein, in each first coupling group at least one first retrieval bar；With the noun matching degree in crucial clump it is
Zero is first to be retrieved as noun not identical with the noun in crucial clump in this first retrieval bar.
Preferably, in the search method of described english literature, in described step 2, by key clump and server
The detailed process of all second retrieval bar couplings is:
Primary retrieval: all with on server for the noun in crucial clump the second retrieval bars are mated, adds up described key
The matching degree of all nouns that the noun in clump includes with each second retrieval bar, filters and the noun in crucial clump
Degree of joining is the second retrieval bar of zero, is placed in same second coupling group by the second retrieval bar that is identical for matching degree and that be not zero,
If the second retrieval bar number in first three second coupling group that matching degree is high is less than or equal to ten, then by these the second retrieval bars
Belonging to the english literature of retrieval unit association store in cache table, if the in high first three of matching degree second coupling group
The number of two retrieval bars more than ten, then carries out quadratic search,
Quadratic search is particularly as follows: be positioned at the sincere verb in crucial clump in front three with matching degree in primary retrieval result
Three the second coupling groups in all second retrieval bars in sincere verb coupling, identical for matching degree the second retrieval bar is put
Put in same 3rd coupling group, if a second retrieval article number in high first three of matching degree the 3rd coupling group is less than or equal to
Ten, then the english literature of the retrieval unit association belonging to these the second retrieval bars is stored in cache table, if matching degree is high
Front ten the 3rd coupling groups in the number of the second retrieval article more than ten, then on the basis of quadratic search, carry out three inspections
Rope,
Three retrievals are particularly as follows: retrieve the frequency number of each word association in bar according to second, by quadratic search result
Identical with noun in crucial clump in every second retrieval article in the 3rd coupling group of matching degree be positioned at front three three
The frequency number associated by noun be added, the descending arrangement of frequency number sum, frequency number sum is positioned at ten of front ten the
The english literature of two retrievals retrieval unit association belonging to bar stores in cache table, each second coupling group and the 3rd coupling group
In at least one second retrieval bar；
Wherein, with the noun matching degree in crucial clump be zero be the second retrieval bar be in this second retrieval bar not and pass
The noun that noun in keyword group is identical.
Preferably, in the search method of described english literature, between server and client, pass through network service.
Preferably, in the search method of described english literature, current time and the form of english literature typing time
For: Year/Month/Day/time/point/second.
Problem in retrieving for current english literature, the present invention devises the search method of a kind of english literature.The first,
The retrieval of key word is limited on noun and sincere verb by the present invention, eliminates preposition, conjunction and other are without sincere word
The interference causing retrieval result, reduces the retrieval burden of server, not only increases the speed of retrieval, and improve inspection
The degree of association of hitch fruit；The second, the present invention is by storage english literature exercise question and the dual search of text, finally determining and be less than
It is less than or equal to 20 the highest english literatures of degree of association afterwards and is sent to client, decrease the amount of reading of client, improve reading effect
Rate；3rd, verb sorted order after the present invention have employed first title simultaneously, it is further provided the degree of association of retrieval result and standard
Exactness；In the storage table of the retrieval result storage that the 4th, the present invention is the most each, when without new document typing, it is sent directly to visitor
Family end, it is to avoid repeat search, shortens the time of retrieval, when there being new document typing, only at retrieval last time and new typing literary composition
Mate between offering, substantially reduce retrieval amount, alleviate the load of server, on the premise of ensure that degree of association, further
Shorten retrieval time.The english literature search method of present invention design, not only high with keyword relevance to be measured, and retrieval
Speed is fast.
Accompanying drawing explanation
Fig. 1 is present invention retrieval flow figure first.
Fig. 2 is the non-retrieval flow figure first of the present invention.
Detailed description of the invention
The present invention is described in further detail below in conjunction with the accompanying drawings, to make those skilled in the art with reference to description literary composition
Word can be implemented according to this.
Embodiment 1,
As it is shown in figure 1, retrieve first
Step 1, creating cache table, storage table and multiple retrieval unit on the server, every english literature associates one
Retrieval unit, for any one retrieval unit all include ID, the english literature typing time (form is: Year/Month/Day/time/point/
Second), the first retrieval bar and the second retrieval bar, described first retrieval bar is by the exercise question of english literature of described retrieval unit association
In all nouns and sincere verb composition, described second retrieval bar includes in the english literature text that described retrieval unit associates
All nouns and sincere verb, second retrieval bar in each noun with it in the english literature that described retrieval unit associates
The frequency number association occurred；
Step 2, client upload English crucial clump to be retrieved, on server, utilizes segmenter of the prior art
(English string segmentation device) deletes the non-noun in crucial clump and non-solid conation word, and any one crucial clump at least includes a name
Word and a sincere verb, crucial clump is: ABCDEFG, noun is ABCD, and sincere verb is: EFG；And server and client
Network service is passed through between end；
All with on server for key clump the first retrieval bars are mated, by the first inspection being positioned at top ten high for matching degree
The english literature of the retrieval unit association belonging to rope bar stores in cache table, particularly as follows:
A, by each with on server for noun ABCD in key clump first retrieval bar mate, filter and the name in key word
Word matching degree is the first retrieval bar of zero, and the first retrieval bar that is identical for matching degree and that be not zero is placed on same first coupling
In group, if the number of the first retrieval bar is less than or equal to ten in high first three of matching degree first coupling group: group 1 [ABC, BCD,
ACD, ABD], organize 2 [AB, BD, AD, AC], group 3 [A, D] (situations equal to ten), or group 1 [ABC, BCD, ABD], organize 2
[AB, BD, AC], group 3 [A, D] (situations less than ten), then by the English of the retrieval unit association belonging to these the first retrieval bars
Literary composition document stores in cache table, if the number of the first retrieval bar in high first three of matching degree first coupling group is more than ten
Individual, then carry out b；
With the noun matching degree is zero first retrieval bar in crucial clump it is: the first retrieval bar does not exists and key word
The noun that noun in Qun is identical；
In sincere verb EFG Yu a retrieval result in the crucial clump of b, statistics, matching degree is positioned at three first of front three
The matching degree of all sincere verb that each first retrieval bar includes in coupling group, by front ten first retrievals high for matching degree
The english literature of the retrieval unit association belonging to bar stores in cache table, wherein, and in each first coupling group at least one
First retrieval bar；
All with on server for key clump the second retrieval bars are mated, by the second inspection being positioned at top ten high for matching degree
The english literature of the retrieval unit association belonging to rope bar stores in cache table, particularly as follows:
Primary retrieval: all with on server for the noun in crucial clump the second retrieval bars are mated, adds up described key
The matching degree of all nouns that the noun in clump includes with each second retrieval bar, filters and the noun in crucial clump
Degree of joining is the second retrieval bar of zero, is placed in same second coupling group by the second retrieval bar that is identical for matching degree and that be not zero,
If the second retrieval bar number in first three second coupling group that matching degree is high is less than or equal to ten, organize 1 [ABC, BCD, ACD],
Group 2 [AB, BD, AC, CD, AD], organize 3 [B, D], or 1 [ABC, BCD, ACD], organize 2 [AC, CD, AD], organize 3 [B, D], then by these
The english literature of second retrieval retrieval unit association belonging to bar stores in cache table, if first three second that matching degree is high
The number of the second retrieval bar in combo more than ten, then carries out quadratic search,
Quadratic search is particularly as follows: be positioned at the sincere verb in crucial clump in front three with matching degree in primary retrieval result
Three the second coupling groups in all second retrieval bars in sincere verb coupling, identical for matching degree the second retrieval bar is put
Put in same 3rd coupling group, if a second retrieval article number in high first three of matching degree the 3rd coupling group is less than or equal to
Ten, group 1 [EFG, EFG] organize 2 [EG, EG, FG, FG ,] group 3 [E, E, F, F], or 1 [EFG] organize 2 [EG, EG, FG, FG ,] group 3
[E, E, F, F], then store the english literature of the retrieval unit association belonging to these the second retrieval bars in cache table, if coupling
The number spending the second retrieval article in high front ten the 3rd coupling groups is more than ten, then carry out three on the basis of quadratic search
Secondary retrieval,
Three retrievals are particularly as follows: retrieve the frequency number of each word association in bar according to second, by quadratic search result
Identical with noun in crucial clump in every second retrieval article in the 3rd coupling group of matching degree be positioned at front three three
The frequency number associated by noun be added, the descending arrangement of frequency number sum, frequency number sum is positioned at ten of front ten the
The english literature of two retrievals retrieval unit association belonging to bar stores in cache table, each second coupling group and the 3rd coupling group
In at least one second retrieval bar；
Wherein, with the noun matching degree is zero second retrieval bar in crucial clump be: the second retrieval bar does not exist with
The noun that noun in crucial clump is identical；
By the ID of retrieval unit of all english literatures association in cache table and current time (form is: Year/Month/Day/
Time/point/second) associate with crucial clump, and in storage table, all english literatures in cache table are sent to client
End, empties buffer area.
Embodiment 2,
Retrieve first as in figure 2 it is shown, non-
S1, create cache table, storage table and multiple retrieval unit on the server, every english literature one retrieval of association
Unit, all includes ID, english literature typing time, the first retrieval bar and the second retrieval bar, institute for any one retrieval unit
State all nouns in the exercise question that the first retrieval bar is the english literature associated by described retrieval unit and sincere verb forms, institute
State the second retrieval bar and include all nouns and sincere verb in the english literature text that described retrieval unit associates, in the second retrieval
Each noun in bar associates with its frequency number occurred in the english literature that described retrieval unit associates；
S2, client upload English crucial clump to be retrieved is on server, and crucial clump is: ABCDEFG, noun is
ABCD, sincere verb is: EFG；
Crucial clump is mated with the crucial clump in storage table on server, it may be judged whether exist with to be retrieved
The crucial clump being stored in storage table that key word faciation is same, if do not existed, then carries out the step 2 in embodiment 1,
If existing, then when searching whether to exist the english literature typing after the current time of this key clump association
Between, if not existing, then the english literature of the retrieval unit association belonging to the ID that will associate with this key clump is sent to client,
If existing, then the retrieval unit association belonging to the english literature typing time after the current time this key clump associated
English literature associates the english literature of the retrieval unit association belonging to ID and merges into merging collection with this key clump, deletes storage table
In this key clump and the ID associated with this key clump and current time, concentrate, merging, the step carrying out in embodiment 1
2。
Although embodiment of the present invention are disclosed as above, but it is not restricted in description and embodiment listed
Using, it can be applied to various applicable the field of the invention completely, for those skilled in the art, and can be easily
Realizing other amendment, therefore under the general concept limited without departing substantially from claim and equivalency range, the present invention does not limit
In specific details with shown here as the legend with description.
Claims (5)
1. the search method of an english literature, it is characterised in that including:
Step 1, create cache table, storage table and multiple retrieval unit on the server, every english literature one retrieval of association
Unit, all includes ID, english literature typing time, the first retrieval bar and the second retrieval bar, institute for any one retrieval unit
State all nouns in the exercise question that the first retrieval bar is the english literature associated by described retrieval unit and sincere verb forms, institute
State the second retrieval bar and include all nouns and sincere verb in the english literature text that described retrieval unit associates, in the second retrieval
Each noun in bar associates with its frequency number occurred in the english literature that described retrieval unit associates；
Step 2, retrieve first, on client upload English crucial clump to be retrieved to server, utilize segmenter to delete and close
Non-noun in keyword group and non-solid conation word, any one crucial clump at least includes a noun and a sincere verb；
All with on server for key clump the first retrieval bars are mated, by the first retrieval bar being positioned at top ten high for matching degree
The english literature of affiliated retrieval unit association stores in cache table；
All with on server for key clump the second retrieval bars are mated, by the second retrieval bar being positioned at top ten high for matching degree
The english literature of affiliated retrieval unit association stores in cache table；
The ID of the retrieval unit of all english literatures association in cache table is associated with crucial clump with current time, and storage is arrived
In storage table, all english literatures in cache table are sent to client, empty buffer area；
Step 3, when carry out non-retrieve first time, on client upload English crucial clump to be retrieved to server；
Crucial clump is mated with the crucial clump in storage table on server, it may be judged whether exist and key to be retrieved
The crucial clump that what clump was identical be stored in storage table, if do not existed, then carries out step 2,
If existing, then search whether to there is the english literature typing time after the current time of this key clump association, if
Do not exist, then the english literature of the retrieval unit association belonging to the ID that will associate with this key clump is sent to client, if depositing
, then the English of the retrieval unit association belonging to the english literature typing time after the current time this key clump associated
Document associates the english literature of the retrieval unit association belonging to ID and merges into merging collection with this key clump, and deleting should in storage table
Crucial clump and the ID associated with this key clump and current time, carry out step 2 in merging concentration.
2. the search method of english literature as claimed in claim 1, it is characterised in that in described step 2, by key clump and
On server, the detailed process of all first retrieval bar couplings is:
The matching degree of all nouns that the noun in the crucial clump of a, statistics includes with each first retrieval bar, filters with crucial
The noun matching degree is zero first retrieval bar in word, is placed on same by the first retrieval bar that is identical for matching degree and that be not zero
In first coupling group, if the number of the first retrieval bar is less than or equal to ten in high first three of matching degree first coupling group, then will
English literatures of these first retrievals retrieval units association belonging to bar store in cache table, if high first three of matching degree the
The number of the first retrieval bar in one coupling group more than ten, then carries out b；
Sincere verb in b, the crucial clump of statistics is retrieved matching degree in result and is positioned at three first of front three and mates in group with a
The matching degree of all sincere verb that each first retrieval bar includes, belonging to front ten first retrieval bars high for matching degree
The english literature of retrieval unit association stores in cache table；
Wherein, in each first coupling group at least one first retrieval bar；It is zero to be with the noun matching degree in crucial clump
First is retrieved as noun not identical with the noun in crucial clump in this first retrieval bar.
3. the search method of english literature as claimed in claim 2, it is characterised in that in described step 2, by key clump and
On server, the detailed process of all second retrieval bar couplings is:
Primary retrieval: all with on server for the noun in crucial clump the second retrieval bars are mated, adds up described crucial clump
In the matching degree of all nouns that includes with each second retrieval bar of noun, filter and the noun matching degree in crucial clump
It is the second retrieval bar of zero, the second retrieval bar that is identical for matching degree and that be not zero is placed in same second coupling group, if
The second retrieval bar number in first three second coupling group that degree of joining is high is less than or equal to ten, then by belonging to these the second retrieval bars
The english literature of retrieval unit association store in cache table, if the second inspection in high first three of matching degree second coupling group
The number of rope bar is more than ten, then carry out quadratic search,
Quadratic search is particularly as follows: be positioned at the sincere verb in crucial clump in the three of front three with matching degree in primary retrieval result
The sincere verb coupling in all second retrieval bars in individual second coupling group, is placed on the second identical for matching degree retrieval bar
In same 3rd coupling group, if the second retrieval article number in high first three of matching degree the 3rd coupling group is less than or equal to ten
Individual, then the english literature of the retrieval unit association belonging to these the second retrieval bars is stored in cache table, if matching degree is high
The number of the second retrieval article in front ten the 3rd coupling groups more than ten, then carries out three inspections on the basis of quadratic search
Rope,
Three retrievals are particularly as follows: according to the frequency number of each word association in the second retrieval bar, will mate in quadratic search result
Spend the name identical with noun in crucial clump in every second retrieval article in the 3rd coupling group of three that are positioned at front three
Frequency number associated by word is added, and frequency number sum is positioned at ten second inspections of front ten by the descending arrangement of frequency number sum
The english literature of the retrieval unit association belonging to rope bar stores in cache table, in each second coupling group and the 3rd coupling group extremely
Rare one second retrieval bar；
Wherein, with the noun matching degree in crucial clump be zero be the second retrieval bar be that this second retrieval bar does not has and key word
The noun that noun in Qun is identical.
4. the search method of the english literature as described in one of claim 1-3, it is characterised in that between server and client
Pass through network service.
5. the search method of english literature as claimed in claim 4, it is characterised in that when current time and english literature typing
Between form be: Year/Month/Day/time/point/second.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410142941.9A CN103902724B (en) | 2014-04-10 | A kind of search method of english literature |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410142941.9A CN103902724B (en) | 2014-04-10 | A kind of search method of english literature |
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| Publication Number | Publication Date |
|---|---|
| CN103902724A CN103902724A (en) | 2014-07-02 |
| CN103902724B true CN103902724B (en) | 2016-11-30 |
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Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101369279A (en) * | 2008-09-19 | 2009-02-18 | 江苏大学 | Detection method for academic dissertation similarity based on computer searching system |
| CN102024027A (en) * | 2010-11-17 | 2011-04-20 | 北京健康在线网络技术有限公司 | Method for establishing medical database |
| CN103530415A (en) * | 2013-10-29 | 2014-01-22 | 谭永 | Natural language search method and system compatible with keyword search |
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101369279A (en) * | 2008-09-19 | 2009-02-18 | 江苏大学 | Detection method for academic dissertation similarity based on computer searching system |
| CN102024027A (en) * | 2010-11-17 | 2011-04-20 | 北京健康在线网络技术有限公司 | Method for establishing medical database |
| CN103530415A (en) * | 2013-10-29 | 2014-01-22 | 谭永 | Natural language search method and system compatible with keyword search |
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