CN102737071A - System and method for displaying word query result according to data association degree - Google Patents
System and method for displaying word query result according to data association degree Download PDFInfo
- Publication number
- CN102737071A CN102737071A CN2011100986407A CN201110098640A CN102737071A CN 102737071 A CN102737071 A CN 102737071A CN 2011100986407 A CN2011100986407 A CN 2011100986407A CN 201110098640 A CN201110098640 A CN 201110098640A CN 102737071 A CN102737071 A CN 102737071A
- Authority
- CN
- China
- Prior art keywords
- vocabulary
- inquiry
- correlation degree
- query result
- lexical data
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Images
Landscapes
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
Abstract
The invention discloses system and method for displaying the word query result according to data association degree. According to the technical means, the method comprises the following steps: according to keywords to be queried, acquiring words and word data items containing the keywords in word description from word database as a first query result set; when a self-filtering condition setting interface receives an association degree set, filtering the first query result set according to the association degree set so as to generate a second query result set, marking query keywords of the word data items in the second query result set corresponding to the mark styles of the association degree set, thus achieving the technical effect of fast positioning word data items with different association degrees.
Description
Technical field
The present invention relates to a kind of vocabulary inquiry result's display system and method thereof; Be meant that especially a kind of different correlation degrees according to the lexical data item carry out secondary filter, and show the system and the method thereof of key word of the inquiry in the lexical data item with the different markers pattern according to different correlation degrees.
Background technology
E-dictionary, online dictionary or dictionary program etc. are the good assistants that the modern inquires about vocabulary; These system and methods etc. all are to set up the huge lexical data base of quantity in advance by each tame manufacturer; As long as the user is through key word of the inquiry of query interface input; Just can from numerous lexical data item, hunt out the lexical data item of corresponding key word of the inquiry fast; The user does not only need to carry thick and heavy physical book again, and the user also can save the process of searching voluntarily, has promoted the convenience of vocabulary inquiry.
In system and methods such as e-dictionary in the past, online dictionary or dictionary program; The inquiry that generally provides is divided into dual mode; One is accurately inquiry, and just key word of the inquiry must be identical with the vocabulary in the lexical data item, as: when key word of the inquiry is " swallow "; Vocabulary in the lexical data item is necessary for " swallow " and just can be queried to; Though but some lexical data item vocabulary is different with key word of the inquiry sometimes, the part of vocabulary explanation still possibly comprise key word of the inquiry, under accurate inquiry, just can't inquire this moment maybe be relevant with key word of the inquiry the lexical data item.Another then is a fuzzy query; Fuzzy query is generally only searched the lexical data item that comprises key word of the inquiry in the lexical data item; Though the lexical data Xiang Jun that searches comprises key word of the inquiry, the correlation degree that the user can't be determined to end lexical data item and key word of the inquiry why, key word of the inquiry possibly be to be present in the middle of other parts of certain lexical data item; For example: example sentence, derivative ... Deng; The user then must compare out the lexical data item of various correlation degrees voluntarily from the fuzzy lexical data item of comparing out again, thereby cause user's inconvenience if want to learn correlation degree.
In sum; Can know and can't to the lexical data item of different correlation degrees produce differentiation demonstration when there has been fuzzy query in prior art since the midium or long term always and cause the user to need the problem of repeated overlapping comparison action voluntarily; Therefore be necessary to propose improved technological means, solve this problem.
Summary of the invention
Show and cause the user to need the problem of repeated overlapping comparison action voluntarily because can't produce differentiation during the fuzzy query that prior art exists to the lexical data item of different correlation degrees; The present invention is in providing a kind of system and method thereof according to data association degree demonstration vocabulary inquiry result, wherein:
System according to data association degree demonstration vocabulary inquiry result provided by the present invention, it comprises: lexical data base, store at least one lexical data item in advance, wherein each lexical data item comprises at least one vocabulary explanation of vocabulary and corresponding vocabulary; First acquisition module in order to produce query interface, is inquired about the interface certainly and is received key word of the inquiry, and obtains at least one lexical data item that vocabulary and vocabulary explanation in the lexical data base comprises key word of the inquiry according to key word of the inquiry and gather as first Query Result; Second acquisition module is set the interface in order to the generation filtercondition and is set to receive correlation degree, and sets the set of filtration first Query Result to produce the set of second Query Result according to correlation degree; And display module; Establish the mark correspondence table in advance; The mark correspondence table stores the corresponding relation of correlation degree setting and marking style; Display module is set the interface in order to show query interface and filtercondition, and being used to second acquisition module, to produce second query results fashionable, and the key word of the inquiry of lexical data item in the set of second Query Result is come out with the marking style mark of associated in correspondence degree set and shows.
Method according to data association degree demonstration vocabulary inquiry result provided by the present invention, it comprises step: store at least one lexical data item in advance, wherein each lexical data item comprises at least one vocabulary explanation of vocabulary and corresponding vocabulary; Set up the mark correspondence table in advance, the mark correspondence table stores the corresponding relation of correlation degree setting and marking style; Receive key word of the inquiry, and obtain at least one lexical data item that vocabulary and vocabulary explanation comprise key word of the inquiry according to key word of the inquiry and gather as first Query Result; Set the interface through filtercondition and receive the correlation degree setting; Set the set of filtration first Query Result to produce the set of second Query Result according to correlation degree; And set inquiry mark correspondence table drawing corresponding marking style, and show with the key word of the inquiry and the output of lexical data item in the set of marking style mark second Query Result according to correlation degree.
System and method for provided by the present invention as above; And the difference between the prior art is that the present invention has through obtaining out the lexical data item that comprises key word of the inquiry in the explanation of vocabulary and vocabulary according to key word of the inquiry from lexical data base and gathers as first Query Result; When inherent filtration condition enactment interface receives the correlation degree setting; Set to filter the set of first Query Result producing the set of second Query Result according to correlation degree, and with the key word of the inquiry of lexical data item in marking style mark second Query Result set of associated in correspondence degree set and export the technique for displaying means.
Through above-mentioned technological means, the present invention can reach the technological effect of the lexical data item of the different correlation degrees in quick location.
Description of drawings
Fig. 1 shows the calcspar of vocabulary inquiry result's system according to the data association degree for the present invention.
Fig. 2 shows the process flow diagram of vocabulary inquiry result's method according to the data association degree for the present invention.
Fig. 3 A～Fig. 3 E is the figure user interface synoptic diagram of dictionary program in the embodiment of the invention.
[primary clustering symbol description]
101 lexical data bases, 102 first acquisition modules
103 second acquisition modules, 104 display modules
105 setting modules, 300 figure user interfaces
301 query interfaces, 302 function keys
303 filterconditions are set interface 304 and are set indication component
305 lexical data items 306 are labeled vocabulary
307 lexical data items 308 are labeled vocabulary
Embodiment
Below will cooperate graphic and embodiment specifies embodiment of the present invention, whereby to the present invention how the application technology means implementation procedure that solves technical matters and reach technological effect can make much of and implement according to this.
At first, please be earlier be of the present inventionly to show the calcspar of vocabulary inquiry result's system with reference to " Fig. 1 " according to the data association degree, will be in order to the running between each module of the present invention to be described.Of the present inventionly show that according to the data association degree vocabulary inquiry result's system comprises lexical data base 101, first acquisition module 102, second acquisition module 103 and display module 104.
Lexical data base 101; Store at least one lexical data item in advance; Wherein each lexical data item comprises at least one vocabulary explanation of vocabulary and corresponding vocabulary; The dictionary classification of the pronunciation that described vocabulary explanation can be a vocabulary, explanation, example sentence, derivative, correspondence ... Deng the other guide relevant with vocabulary; Though the vocabulary explanation only gives some instances and describes in the present invention, does not so in fact then exceed with described, any content relevant with vocabulary all should be in the category of vocabulary explanation of the present invention.
Except above-mentioned module; More comprise a setting module 105; Use and set correlation degree in the interface setting mark correspondence table for the user through corresponding relation and set the corresponding relation with marking style, for example: the user can change the color depth or the line weight etc. of the height correspondence markings of certain correlation degree setting value.
Next, please refer to " Fig. 2 ", show the process flow diagram of vocabulary inquiry result's method according to the data association degree for of the present invention, will be in order to implementing procedure of the present invention to be described.
At first, store at least one lexical data item (step 201) in advance, wherein each lexical data Xiang Jun comprises at least one vocabulary explanation of vocabulary and corresponding vocabulary.Need to prove; The dictionary classification of the pronunciation that at least one vocabulary explanation can be a vocabulary, explanation, example sentence, derivative, correspondence ... Deng the other guide relevant with vocabulary; Though vocabulary explanation is only takeed several examples and is described in the present invention; So in fact then do not exceed with described, any content relevant with vocabulary all should be in the category of vocabulary explanation of the present invention.
Except storing at least one lexical data item in advance; System also must set up mark correspondence table (step 202) in advance; Store the corresponding relation of correlation degree setting and marking style in the mark correspondence table, wherein marking style can be color, size, thickness, shape or any relevant attribute that differentiation shows that produces with mark.For instance; Suppose that marking style is a line weight; Then if the correlation degree setting value is that 100% expression vocabulary and key word of the inquiry are identical; The lines of this tense marker are for the thickest, if the correlation degree setting value is to represent that vocabulary came across in the middle of the vocabulary example sentence at 25% o'clock, then the lines of this tense marker are for the thinnest.Though only describe with 100% and 25% in this correlation degree setting value of lifting, right actual setting value can be set according to the content of lexical data item and the importance of each content, and does not exceed with of the present invention.
Then, receive key word of the inquiry, and obtain at least one lexical data item that vocabulary and vocabulary explanation comprise key word of the inquiry according to key word of the inquiry and gather (step 203) as first Query Result.For instance; Suppose that key word of the inquiry is " from "; Then vocabulary lexical data item that is " come " example sentence " Where do you come from? " Middle because of comprising " from ", just can the lexical data item of " come " be got access to when then obtaining in the set of first Query Result.
Then, set the interface through filtercondition and receive correlation degree setting (step 204), and set the set of filtration first Query Result to produce second Query Result set (step 205) according to correlation degree.In step 204, more comprise and show that correlation degree is set and the prompting of marking style corresponding relation, the user can learn why the correlation degree of being imported at present sets corresponding marking style whereby.In addition, be set at the setting of vocabulary and the vocabulary explanation degree of correlation in key word of the inquiry and the lexical data item in correlation degree of the present invention.For instance; When needs obtain out the identical lexical data item of vocabulary and key word of the inquiry; Then the correlation degree setting value can be set at 100%, that is matees fully, when needs obtain out the lexical data item that comprises key word of the inquiry in the vocabulary example sentence; The correlation degree setting value can be set at 25%, and the rest may be inferred.The set of first Query Result is with the difference of second Query Result set; What the set of first Query Result was obtained out is the lexical data item that comprises key word of the inquiry in the content, and the set of second Query Result then is to carry out the secondary lexical data item that obtains again according to user's setting.Need to prove; The present invention sets only in order to explanation at the correlation degree of these different levels of giving an example; Be not in order to limit the present invention; Any this area tool knows that usually the knowledgeable all should change to the corresponding relation between correlation degree setting value and the lexical data item of the present invention providing under the prerequisite, but should still belong in the category of the present invention.
At last, set inquiry mark correspondence table drawing corresponding marking style according to correlation degree, and show (step 206) with the key word of the inquiry and the output of lexical data item in the set of marking style mark second Query Result.
Except aforesaid step; Of the present inventionly show that according to the data association degree vocabulary inquiry result's method more can provide a corresponding relation to set the interface and supply the user to set that correlation degree in the mark correspondence table is set and the corresponding relation of marking style, for example: the user can change the color depth or the line weight etc. of the height correspondence markings of certain correlation degree setting value.
Next, will there be the operating process of dictionary program of the present invention embodiment of the present invention to be described with an application as embodiment.In dictionary program, store at least one lexical data item in advance; All comprise vocabulary and at least one vocabulary explanation corresponding in each lexical data item, the dictionary classification of the pronunciation that these vocabulary explanations can be vocabulary, explanation, example sentence, derivative, correspondence with vocabulary ... Deng the other guide relevant with vocabulary.In addition; Dictionary program also must be set up the mark correspondence table in advance; Then store correlation degree in the mark correspondence table and set the corresponding relation with marking style, the corresponding relation in the mark correspondence table can be preset, and also can the person of being to use passes through a corresponding relation and sets that interface setting produces.
At first; Please refer to " Fig. 3 A "; Suppose to have comprised query interface 301 on the figure user interface 300 of dictionary program, and after triggering function key 302, dictionary program will show that filtercondition sets interface 303; The user can set indication component 304 through pulling and set the correlation degree setting; In the process that the user sets, the marking style of associated in correspondence degree set also can be revealed the prompting user, sets pairing marking style so that the user learns a certain correlation degree simultaneously; Suppose that marking style is a line weight in present embodiment, then the corresponding relation of marking style and correlation degree setting can be set shown in the interface 303 like filtercondition.Though so marking style act line weight is an example in present embodiment, in fact can be color, size, thickness, shape or any relevant attribute that produces the differentiation demonstration, and exceed with line weight with mark.In addition, only in order to the explanation signal, actual graphic assembly arranged mode is not then exceeded with what illustrate the display frame in " Fig. 3 A ".
Then, suppose that the key word of the inquiry of user's input at present is " swallow ", then this moment, all vocabulary explained that the lexical data item that comprises " swallow " all can be got access in the set of first Query Result.The correlation degree of supposing at the beginning to be imported is set at " coupling fully "; Please refer to " Fig. 3 B ", then through dictionary program the set of first Query Result is carried out secondary filter according to the correlation degree setting of " coupling fully " more at this moment and produce the set of second Query Result.Because " coupling fully " what obtain is the identical lexical data item of vocabulary and key word of the inquiry; Lexical data item 305 will be obtained and shown; " swallow " during demonstration in the lexical data item 305 also can be labeled out; Line weight with 6pt indicates, as is labeled shown in the vocabulary 306.Though right is that example describes at the lexical data item that this obtained out with one; Because same vocabulary has the lexical data item more than two sometimes; Therefore all lexical data items that in fact vocabulary is identical with key word of the inquiry can show simultaneously; Its display effect is similar to lexical data item 305, does not then add at this and gives unnecessary details.
Please refer to " Fig. 3 C " and suppose that the user adjusts correlation degree and is set at " example sentence "; Then this moment, dictionary program will carry out secondary filter to first Query Result set with " example sentence "; Obtaining out in the example sentence lexical data item that comprises " swallow " gathers as second Query Result; Like the lexical data item 307 in " Fig. 3 D "; Because the example sentence in the middle of the lexical data item 307 comprises key word of the inquiry " swallow ", then " swallow " shows after will marking " swallow " according to the corresponding line weight 0.75pt of " example sentence " this correlation degree setting at this moment, shown in mark vocabulary 308.What need special instruction is; When correlation degree is set at " example sentence "; Whether dictionary program will only can comprise " swallow " to the example sentence search of lexical data item in the set of first Query Result; Comprise Shi Caihui the lexical data item is got access in second Query Result set, and will mark " swallow " in the example sentence with the line weight 0.75pt of correspondence when showing; Likewise; When correlation degree is set at " phrase discrimination "; Whether dictionary program will only can comprise " swallow " to the phrase discrimination search of lexical data item in the set of first Query Result; Comprise Shi Caihui the lexical data item is got access in the set of second Query Result, and the line weight with correspondence marks " swallow " in " phrase discrimination " when showing.Shown in " Fig. 3 E ", when supposing that " phrase discrimination " with lexical data item 305 in " Fig. 3 B " comprises key word of the inquiry " swallow ", " swallow " of dictionary program this moment in the middle of will a mark " phrase discrimination ", the rest may be inferred.Though right is that example describes at the lexical data item that this obtained out with one, in fact all lexical data items of second Query Result set can show simultaneously that its display effect is similar to lexical data item 307, then do not add at this and give unnecessary details.
In sum; Obtain out the lexical data item that comprises key word of the inquiry in vocabulary and the vocabulary explanation according to key word of the inquiry from lexical data base and gather but the difference between knowledge capital invention and the prior art is to have as first Query Result; When inherent filtration condition enactment interface receives the correlation degree setting; Set the set of filtration first Query Result to produce the set of second Query Result according to correlation degree; And with the key word of the inquiry of lexical data item in the set of marking style mark second Query Result of associated in correspondence degree set and export the technique for displaying means; Can produce differentiation to the lexical data item of different correlation degrees through this technological means and show that simplifying the user needs the process of repeated overlapping comparison action voluntarily; Solve the existing in prior technology problem whereby, and then reach the technological effect of the lexical data item of the different correlation degrees in quick location.
Though embodiment provided by the present invention as above, only described content is not in order to direct qualification scope of patent protection of the present invention.Those skilled in the art under any the present invention under the prerequisite that does not break away from disclosed spirit of the present invention and scope, can do a little change what implement in form and on the details.Scope of patent protection of the present invention, still must with appending claims the person of being defined be as the criterion.
Claims (10)
1. the system according to data association degree demonstration vocabulary inquiry result is characterized in that, comprises:
One lexical data base stores at least one lexical data item in advance, and wherein each lexical data item comprises a vocabulary and at least one vocabulary explanation that should vocabulary;
One first acquisition module; In order to produce a query interface; Receive a key word of the inquiry from this query interface, and obtain at least one lexical data item that this vocabulary and this vocabulary explanation in this lexical data base comprises this key word of the inquiry according to this key word of the inquiry and gather as one first Query Result;
One second acquisition module is set to receive a correlation degree in order to produce filtercondition setting interface, and sets this first Query Result set of filtration according to this correlation degree and gather to produce one second Query Result; And
One display module; Establish a mark correspondence table in advance; This mark correspondence table stores the corresponding relation of correlation degree setting and marking style; This display module is set the interface in order to show this query interface and this filtercondition, and being used to this second acquisition module, to produce this second query results fashionable, with this key word of the inquiry in those lexical data items in this second Query Result set a marking style mark of should correlation degree setting is come out and shows.
2. the system that shows the vocabulary inquiry result according to the data association degree as claimed in claim 1; It is characterized in that; When this display module more is used to the user through this filtercondition setting interface adjustment correlation degree setting, show the prompting of setting corresponding marking style with this correlation degree.
3. the system according to data association degree demonstration vocabulary inquiry result as claimed in claim 1 is characterized in that this at least one vocabulary explanation comprises pronunciation, explanation, example sentence, derivative and the corresponding dictionary classification of this vocabulary.
4. the system according to data association degree demonstration vocabulary inquiry result as claimed in claim 1 is characterized in that this marking style comprises color, size, thickness and shape.
5. the system that shows the vocabulary inquiry result according to the data association degree as claimed in claim 1; It is characterized in that; This system more comprises a setting module, and this setting module is set the interface and supplied the user to set that correlation degree in this mark correspondence table is set and the corresponding relation of marking style in order to produce a corresponding relation.
6. the method according to data association degree demonstration vocabulary inquiry result is characterized in that, comprises the following step:
Store at least one lexical data item in advance, wherein each lexical data item comprises a vocabulary and at least one vocabulary explanation that should vocabulary;
Set up a mark correspondence table in advance, this mark correspondence table stores the corresponding relation of correlation degree setting and marking style;
Receive a key word of the inquiry, and obtain at least one lexical data item that the explanation of this vocabulary and this vocabulary comprises this key word of the inquiry according to this key word of the inquiry and gather as one first Query Result;
Set the interface through a filtercondition and receive correlation degree setting;
Set this first Query Result set of filtration to produce the set of one second Query Result according to this correlation degree; And
Set this mark correspondence table of inquiry drawing a corresponding marking style according to this correlation degree, and show with this key word of the inquiry and the output of those lexical data items in this second Query Result set of this marking style mark.
7. the method that shows the vocabulary inquiry result according to the data association degree as claimed in claim 6; It is characterized in that; Receive in the step of this correlation degree setting through this filtercondition setting interface, more be contained in the step that this filtercondition is set the prompting of setting of interface display correlation degree and marking style corresponding relation.
8. the method according to data association degree demonstration vocabulary inquiry result as claimed in claim 6 is characterized in that this at least one vocabulary explanation comprises pronunciation, explanation, example sentence, derivative and the corresponding dictionary classification of this vocabulary.
9. the method according to data association degree demonstration vocabulary inquiry result as claimed in claim 6 is characterized in that this marking style comprises color, size, thickness and shape.
10. the method that shows the vocabulary inquiry result according to the data association degree as claimed in claim 6; It is characterized in that this method more comprises to be provided a corresponding relation to set the interface to supply the user to set that correlation degree in this mark correspondence table is set and the corresponding relation of marking style.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201110098640.7A CN102737071B (en) | 2011-04-15 | 2011-04-15 | According to system and the method thereof of data association degree display word query result |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201110098640.7A CN102737071B (en) | 2011-04-15 | 2011-04-15 | According to system and the method thereof of data association degree display word query result |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN102737071A true CN102737071A (en) | 2012-10-17 |
| CN102737071B CN102737071B (en) | 2015-10-07 |
Family
ID=46992591
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201110098640.7A Expired - Fee Related CN102737071B (en) | 2011-04-15 | 2011-04-15 | According to system and the method thereof of data association degree display word query result |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN102737071B (en) |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103559326A (en) * | 2013-11-25 | 2014-02-05 | 方正国际软件有限公司 | Patient information cuing method and patient information cuing system |
| CN104598538A (en) * | 2014-12-30 | 2015-05-06 | 百度在线网络技术（北京）有限公司 | Information searching method and device |
| CN108170833A (en) * | 2018-01-11 | 2018-06-15 | 上海壹账通金融科技有限公司 | Multi-dimensional data methods of exhibiting, application server and computer readable storage medium |
| CN108717417A (en) * | 2018-03-30 | 2018-10-30 | 斑马网络技术有限公司 | Map retrieval inputs reminding method and its system |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101140577A (en) * | 2006-09-05 | 2008-03-12 | 英业达股份有限公司 | Zihui enquiring system and method |
| CN101334773A (en) * | 2007-06-28 | 2008-12-31 | 联想(北京)有限公司 | Method for filtrating search engine searching result |
| CN101685443A (en) * | 2008-09-22 | 2010-03-31 | 英业达股份有限公司 | Display system and method of associated word query interface |
| CN101714144A (en) * | 2008-10-07 | 2010-05-26 | 英业达股份有限公司 | Associated characters and words query system and method thereof |
-
2011
- 2011-04-15 CN CN201110098640.7A patent/CN102737071B/en not_active Expired - Fee Related
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101140577A (en) * | 2006-09-05 | 2008-03-12 | 英业达股份有限公司 | Zihui enquiring system and method |
| CN101334773A (en) * | 2007-06-28 | 2008-12-31 | 联想(北京)有限公司 | Method for filtrating search engine searching result |
| CN101685443A (en) * | 2008-09-22 | 2010-03-31 | 英业达股份有限公司 | Display system and method of associated word query interface |
| CN101714144A (en) * | 2008-10-07 | 2010-05-26 | 英业达股份有限公司 | Associated characters and words query system and method thereof |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103559326A (en) * | 2013-11-25 | 2014-02-05 | 方正国际软件有限公司 | Patient information cuing method and patient information cuing system |
| CN104598538A (en) * | 2014-12-30 | 2015-05-06 | 百度在线网络技术（北京）有限公司 | Information searching method and device |
| CN108170833A (en) * | 2018-01-11 | 2018-06-15 | 上海壹账通金融科技有限公司 | Multi-dimensional data methods of exhibiting, application server and computer readable storage medium |
| CN108717417A (en) * | 2018-03-30 | 2018-10-30 | 斑马网络技术有限公司 | Map retrieval inputs reminding method and its system |
Also Published As
| Publication number | Publication date |
|---|---|
| CN102737071B (en) | 2015-10-07 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN103116649B (en) | Data analysis system and data analysing method | |
| CN1936892A (en) | Image content semanteme marking method | |
| CN101404035A (en) | Information search method based on text or voice | |
| CN101082936A (en) | Data enquiring system and method | |
| CN103425672A (en) | Method and device for creating indexes of database | |
| CN102737071A (en) | System and method for displaying word query result according to data association degree | |
| CN103080937A (en) | Orthographical variant detection device and orthographical variant detection program | |
| CN101256448B (en) | Method, apparatus and client terminal for implementing input method | |
| CN102662937A (en) | Automatic translation system and automatic translation method thereof | |
| CN110362596A (en) | A kind of control method and device of text Extracting Information structural data processing | |
| CN106156340A (en) | A kind of name entity link method | |
| CN107544741B (en) | Input management method and device | |
| CN103530298A (en) | Information searching method and device | |
| CN102385597B (en) | The fault-tolerant searching method of a kind of POI | |
| CN101751290A (en) | Method, device and ERP system for calling functional modules | |
| CN102314464A (en) | Lyrics searching method and lyrics searching engine | |
| CN103685668B (en) | Method and a system for quickly inputting contact persons in local address books | |
| CN103207682A (en) | Syllable segmentation-based Uighur, Kazakh and Kirghiz intelligent input method | |
| CN101699438B (en) | Data access method and system | |
| CN110321351A (en) | A kind of vendor name method for normalizing based on fuzzy matching | |
| CN107229675B (en) | Question and answer base construction method, method, apparatus of answering and the system of list type knowledge | |
| CN102819523B (en) | Method and device for determining current edit range of formula in electronic table | |
| CN113468174A (en) | Database query method and device, electronic equipment and computer storage medium | |
| CN102081677B (en) | Generation method of long sentences in Pinyin input method | |
| CN102314420A (en) | Translation correction system and correction method |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| TR01 | Transfer of patent right |
Effective date of registration: 20170810 Address after: Room 8, building 805, sunshine times, Fenghuang Road, Fenghuang County, Shangrao, Jiangxi, Shangrao Co-patentee after: Zhang Kaijun Patentee after: Jiangxi union Speed Technology Co.,Ltd. Address before: Qingnian Road Taiwan Wanhua District of Taipei city China No. 184 3 2 floor Patentee before: Fucheng International Machinery Co.,Ltd. Effective date of registration: 20170810 Address after: Qingnian Road Taiwan Wanhua District of Taipei city China No. 184 3 2 floor Patentee after: Fucheng International Machinery Co.,Ltd. Address before: Taipei City, Taiwan, China Patentee before: Yingda Co.,Ltd. |
|
| TR01 | Transfer of patent right | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20151007 Termination date: 20180415 |
|
| CF01 | Termination of patent right due to non-payment of annual fee |