CN103207859B - The method and apparatus of integrated database - Google Patents
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- CN103207859B CN103207859B CN201210007662.2A CN201210007662A CN103207859B CN 103207859 B CN103207859 B CN 103207859B CN 201210007662 A CN201210007662 A CN 201210007662A CN 103207859 B CN103207859 B CN 103207859B
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Abstract
The present invention provides the method and apparatus of a kind of integrated database, relates to data fields, for solving to need the technical problem of the method for artificial integrated database to invent in prior art.Described method includes: obtain the adeditive attribute of the base attribute of one first point of interest, described first point of interest from the first data base respectively；The base attribute of each the second point of interest is obtained from the second data base；The base attribute of each described second point of interest in base attribute according to described first point of interest, described second data base, generates the similarity between described first point of interest and each described second point of interest；Judge whether described second data base includes the second point of interest more than the first predetermined value of the similarity between described first point of interest, generate the first judged result；If described first judged result is no, then the adeditive attribute of the base attribute of the first point of interest and described first point of interest is copied in described second data base.The present invention improves data-handling efficiency.
Description
Technical field
The present invention relates to database field, the method and apparatus particularly relating to a kind of integrated database.
Background technology
In present stage, points of interest attribute integration process is essentially all and adopts the method for manual search inquiry to carry out comparison, and the index of identical information is combined.This traditional production method is difficult to meet the growing extensive requirement quickly updating index data.This traditional approach labor intensive, inefficiency.
Summary of the invention
The technical problem to be solved in the present invention is to provide the method and apparatus of a kind of integrated database, improves the efficiency of integrated database.
For solving above-mentioned technical problem, embodiments of the invention provide technical scheme as follows:
On the one hand, it is provided that a kind of method of integrated database, including:
The adeditive attribute of the base attribute of one first point of interest, described first point of interest is obtained respectively from the first data base；
The base attribute of each the second point of interest is obtained from the second data base；
The base attribute of each described second point of interest in base attribute according to described first point of interest, described second data base, generates the similarity between described first point of interest and each described second point of interest；
Judge whether described second data base includes the second point of interest more than the first predetermined value of the similarity between described first point of interest, generate the first judged result；
If described first judged result is no, then the adeditive attribute of the base attribute of described first point of interest and described first point of interest is copied in described second data base；
If the first judged result is yes, then carry out described first point of interest adeditive attribute and and described first point of interest between similarity more than the integration between the adeditive attribute of described second point of interest of the first predetermined value.
The method of described integrated database, it is characterised in that also include:
The base attribute of one second point of interest is obtained respectively from described second data base；
The base attribute of each the first point of interest is obtained from described first data base；
According to the base attribute of each the first point of interest in the base attribute of described second point of interest, the first data base, generate the similarity between described second point of interest and each described first point of interest；
Judge whether described first data base comprises the similarity with described second point of interest more than the first point of interest of the second predetermined value, generate the second judged result；
If described second judged result is no, then delete the base attribute of described second point of interest and the adeditive attribute of described second point of interest from described first data base.
The described adeditive attribute carrying out described first point of interest and and described first point of interest between similarity include more than the step of the integration between the adeditive attribute of described second point of interest of the first predetermined value:
From the similarity between described first point of interest more than, the second point of interest of predetermined value, selecting the second point of interest that similarity is the highest；
Carry out the Data Integration of the adeditive attribute of the adeditive attribute of described first point of interest and the highest the second point of interest of described similarity.
The step of the Data Integration of the adeditive attribute of the described adeditive attribute carrying out described first point of interest and the highest the second point of interest of described similarity includes:
Judge that whether the adeditive attribute of the second point of interest that the adeditive attribute of described first point of interest is the highest with described similarity is identical；If identical, then do not process；If it is not the same, then use the adeditive attribute of described first point of interest to update the adeditive attribute of the second the highest point of interest of described similarity；Or
Judge that whether the adeditive attribute of the second point of interest that the adeditive attribute of described first point of interest is the highest with described similarity is identical；If identical, then do not process；If it is not the same, then the adeditive attribute of described first point of interest is added in the adeditive attribute of the second the highest point of interest of described similarity.
Described base attribute includes: the one or more combination in any in the title of point of interest, the address of point of interest and the telephone number of point of interest.
On the other hand, it is provided that the device of a kind of integrated database, including:
First acquiring unit, obtains the adeditive attribute of the base attribute of one first point of interest, described first point of interest respectively from the first data base；
Second acquisition unit, obtains the base attribute of each the second point of interest from the second data base；
First generates unit, according to the base attribute of each described second point of interest in the base attribute of described first point of interest, described second data base, generates the similarity between described first point of interest and each described second point of interest；
First judging unit, it is judged that whether include the second point of interest more than the first predetermined value of the similarity between described first point of interest in described second data base, generate the first judged result；
Copied cells, if described first judged result is no, then copies to the adeditive attribute of the base attribute of described first point of interest and described first point of interest in described second data base；
Integral unit, if the first judged result is yes, then carry out described first point of interest adeditive attribute and and described first point of interest between similarity more than the integration between the adeditive attribute of described second point of interest of the first predetermined value.
The device of described integrated database also includes:
3rd acquiring unit, obtains the base attribute of one second point of interest respectively from described second data base；
4th acquiring unit, obtains the base attribute of each the first point of interest from described first data base；
Second generates unit, according to the base attribute of each the first point of interest in the base attribute of described second point of interest, the first data base, generates the similarity between described second point of interest and each described first point of interest；
Second judging unit, it is judged that whether comprise the similarity with described second point of interest in described first data base more than the first point of interest of the second predetermined value, generate the second judged result；
Delete unit, if described second judged result is no, then delete the base attribute of described second point of interest and the adeditive attribute of described second point of interest from described first data base.
Described integral unit includes:
Select subelement, from the similarity between described first point of interest more than, the second point of interest of predetermined value, selecting the second point of interest that similarity is the highest；
Integron unit, carries out the Data Integration of the adeditive attribute of the adeditive attribute of described first point of interest and the highest the second point of interest of described similarity.
Described integron unit particularly as follows:
Judge that whether the adeditive attribute of the second point of interest that the adeditive attribute of described first point of interest is the highest with described similarity is identical；If identical, then do not process；If it is not the same, then use the adeditive attribute of described first point of interest to update the adeditive attribute of the second the highest point of interest of described similarity；Or
Judge that whether the adeditive attribute of the second point of interest that the adeditive attribute of described first point of interest is the highest with described similarity is identical；If identical, then do not process；If it is not the same, then the adeditive attribute of described first point of interest is added in the adeditive attribute of the second the highest point of interest of described similarity.
Described base attribute includes: the one or more combination in any in the title of point of interest, the address of point of interest and the telephone number of point of interest.
Embodiments of the invention have the advantages that
In such scheme, from the first data base, obtain the adeditive attribute of the base attribute of the first point of interest, described first point of interest；According to the base attribute of each the second point of interest in the base attribute of described first point of interest, the second data base, generate the similarity between described first point of interest and each described second point of interest；Judge whether described second data base includes the second point of interest more than the first predetermined value of the similarity between described first point of interest, generate the first judged result；If described first judged result is no, then the adeditive attribute of the base attribute of described first point of interest and described first point of interest is copied in described second data base；If the first judged result is yes, then carry out the integration between the adeditive attribute of described first point of interest and the adeditive attribute of described second point of interest, it is possible to realize the automaticdata between the first data base and the second data base and integrate, it is provided that working performance.
Accompanying drawing explanation
Fig. 1 represents the schematic flow sheet of the method for illustrated integrated database；
Fig. 2 represents the structural representation of the device of illustrated a kind of integrated database；
Fig. 3 represents the schematic flow sheet of an application scenarios of the method for illustrated integrated database；
Fig. 4 represents the schematic flow sheet of the Another Application scene of the method for illustrated integrated database.
Detailed description of the invention
For making embodiments of the invention solve the technical problem that, technical scheme and advantage clearly, be described in detail below in conjunction with the accompanying drawings and the specific embodiments.
As it is shown in figure 1, be the method for illustrated a kind of integrated database, including:
Step 11, obtains the adeditive attribute of the base attribute of the first point of interest, described first point of interest from the first data base；Described base attribute includes: the one or more combination in any in the title of point of interest, the address of point of interest and the telephone number of point of interest.Described adeditive attribute can be: the business informations such as business hours, business price.Such as, the first data base can be the data base of redaction, and the second data base can be the data base of legacy version.Such as, the first data base includes multiple first point of interest, and the base attribute that ID is first point of interest of 1 is: title: New World Hotel, address: Chaoyangmenwai Dajie 1, telephone number: 010-65978888.The adeditive attribute that ID is first point of interest of 1 is: business hours: 9.00-16.00, the line of business: western-style food, vegetable price, up-to-date purchase by group price etc..It will be understood by those skilled in the art that the first data base can comprise the point of interest record of a lot of bar.
Step 12, obtains the base attribute of each the second point of interest from the second data base；
Step 13, according to the base attribute of each the second point of interest in the base attribute of described first point of interest, the second data base, generates the similarity between described first point of interest and each described second point of interest；Concrete difference detailed rules and regulations are as follows: according to title, address, phone similarity, calculate similarity:
Identical: new edition point of interest and the title of adjustment of the printing plate point of interest, phone, site homogeneous etc., similarity is 100；
Similarity is high: such as:
The base attribute of the point of interest of the first data base:
The base attribute of the second data base:
In this example, phone is equal high with title similarity, and Similarity Measure is 95.The method calculating similarity can be utilized in prior art, calculate the similarity between two points of interest according to the base attribute of two points of interest.
Step 14, it is judged that whether include the second point of interest more than the first predetermined value of the similarity between described first point of interest in described second data base, generate the first judged result；
Step 15, if described first judged result is no, then copies to the adeditive attribute of the base attribute of described first point of interest and described first point of interest in described second data base；
Step 16, if the first judged result is yes, then carry out described first point of interest adeditive attribute and and described first point of interest between similarity more than the integration between the adeditive attribute of described second point of interest of the first predetermined value.
In one embodiment, step 16 includes:
Step 161A, it is judged that whether the adeditive attribute of the second point of interest that the adeditive attribute of described first point of interest is the highest with described similarity is identical；
Step 162A, if identical, does not then process；
Step 163A, if it is not the same, then use the adeditive attribute of described first point of interest to update the adeditive attribute of the second the highest point of interest of described similarity.When adeditive attribute intersexuality sometimes, it is necessary to during continuous renewal, then the adeditive attribute of described first point of interest is used to update the adeditive attribute of the second the highest point of interest of described similarity.This step specifically can be updated according to the different classes of of adeditive attribute respectively.Such as, the name of the first point of interest is called Xi Dan Market, and the name of the second point of interest that similarity is the highest is called Xi Dan Market；The classification of adeditive attribute includes up-to-date information of discount classification, then the up-to-date information of discount of described first point of interest can be used to update the up-to-date information of discount of the second the highest point of interest of described similarity.
In another embodiment, step 16 includes:
Step 161B, it is judged that whether the adeditive attribute of the second point of interest that the adeditive attribute of described first point of interest is the highest with described similarity is identical；
Step 162B, if identical, does not then process；
Step 163B, if it is not the same, then add the adeditive attribute of described first point of interest in the adeditive attribute of the second the highest point of interest of described similarity.
Respectively each first point of interest in the first data base is carried out the process of step 11-15.
Optionally, in order to ensure the accuracy of data base, removing out-of-date point of interest, the method for described integrated database also includes:
Step 17, obtains the base attribute of one second point of interest respectively from described second data base；Respectively each second point of interest in the second data base is carried out the process of step 16-19.In order to reduce the treating capacity of data, the second point of interest obtained in this step can be residue the second point of interest in the second data base except the highest the second point of interest of above-mentioned similarity.
Step 18, obtains the base attribute of each the first point of interest from described first data base；
Step 19, according to the base attribute of each the first point of interest in the base attribute of described second point of interest, the first data base, generates the similarity between described second point of interest and each described first point of interest；
Step 110, it is judged that whether comprise the similarity with described second point of interest in described first data base more than the first point of interest of the second predetermined value, generate the second judged result；Optionally, described second predetermined value and the first predetermined value could be arranged to equal, it is possible to be 85.
Step 111, if described second judged result is no, then deletes the base attribute of described second point of interest and the adeditive attribute of described second point of interest from described first data base.If described second judged result is yes, then do not deal with.
As in figure 2 it is shown, be the device of integrated database of the present invention, including:
First acquiring unit 21, obtains the adeditive attribute of the base attribute of the first point of interest, described first point of interest from the first data base；
Second acquisition unit 22, obtains the base attribute of each the second point of interest from the second data base；
First generates unit 23, according to the base attribute of each the second point of interest in the base attribute of described first point of interest, the second data base, generates the similarity between described first point of interest and each described second point of interest；
First judging unit 24, it is judged that whether include the second point of interest more than the first predetermined value of the similarity between described first point of interest in described second data base, generate the first judged result；
Copied cells 25, if described first judged result is no, then copies to the adeditive attribute of the base attribute of described first point of interest and described first point of interest in described second data base；
Integral unit 26, if the first judged result is yes, then carry out described first point of interest adeditive attribute and and described first point of interest between similarity more than the integration between the adeditive attribute of described second point of interest of the first predetermined value.
The device of described integrated database, also includes:
3rd acquiring unit 27, obtains the base attribute of one second point of interest respectively from described second data base；
4th acquiring unit 28, obtains the base attribute of each the first point of interest from described first data base；
Second generates unit 29, according to the base attribute of each the first point of interest in the base attribute of described second point of interest, the first data base, generates the similarity between described second point of interest and each described first point of interest；
Second judging unit 210, it is judged that whether comprise the similarity with described second point of interest in described first data base more than the first point of interest of the second predetermined value, generate the second judged result；
Delete unit 211, if described second judged result is no, then delete the base attribute of described second point of interest and the adeditive attribute of described second point of interest from described first data base.
Described integral unit 26 includes:
Select subelement 261, from the similarity between described first point of interest more than, the second point of interest of predetermined value, selecting the second point of interest that similarity is the highest；
Integron unit 262, carries out the Data Integration of the adeditive attribute of the adeditive attribute of described first point of interest and the highest the second point of interest of described similarity.
Described integron unit 262 particularly as follows:
Judge that whether the adeditive attribute of the second point of interest that the adeditive attribute of described first point of interest is the highest with described similarity is identical；If identical, then do not process；If it is not the same, then use the adeditive attribute of described first point of interest to update the adeditive attribute of the second the highest point of interest of described similarity；Or
Judge that whether the adeditive attribute of the second point of interest that the adeditive attribute of described first point of interest is the highest with described similarity is identical；If identical, then do not process；If it is not the same, then the adeditive attribute of described first point of interest is added in the adeditive attribute of the second the highest point of interest of described similarity.
Described base attribute includes: the one or more combination in any in the title of point of interest, the address of point of interest and the telephone number of point of interest.
The present invention provides the application scenarios of the flow process of the adeditive attribute of a kind of quick integration and renewal point of interest.The method, in the production process solving index data, improves production efficiency and the data accuracy of data.In this application scenarios, the first data base (redaction) and channel including channel source originate the second data base (legacy version) and basic database；First, the second database update basic database is used；Then basic database is updated according to the difference result between the second data base and the second data base.
Wherein, storehouse index data based on DP (DatabasePOI)；CP (CtripPOI) is channel source index data；NP (NewPOI) is channel source, and base library is without, newly-increased index data；AP (AllPOI) is all of point of interest, the integrated results of base library data and channel source-information.
Comprise the following steps: first, obtain channel source-information；Then, it is associated with existing index；Then, supplement index data, then, integrate channel source and basic data, AP=DP+NP.
As it is shown on figure 3, the specific implementation process integrated is as follows:
First, obtain data, obtain the multi-aspect information of point of interest, i.e. adeditive attribute.Such as, point of interest is restaurant of Bei Jinglong township, and new information is: the vegetable price in Long Xiang restaurant.
Then, being associated with the existing index in base library: such as, the vegetable price in restaurant of Jiang Long township and base library Zhong Longxiang restaurant are associated.
Then, newly-increased base library without and the point of interest that has of channel.Such as, if base library Zhong Wulongxiang restaurant, then in base library, the vegetable price association in restaurant of He Long township of Long Xiang restaurant is increased.
Then, channel data and basic data are integrated.
As shown in Figure 4, carrying out difference with the first data base and the second data base, updating basic database is example explanation.As it can be seen, more the specific implementation process of new data is as follows:
First, regularly data are obtained from specialty interface, as the first data base；Carrying out difference with upper edition data, the data of upper version are as the second data base；
Then, it is divided into following several situation:
(1) newly-increased points of interest attribute:
(1.1) base library has data point of interest, is set up with the point of interest of base library by points of interest attribute and associates；
(1.2) base library no data, supplements index according to door location information；
(2) points of interest attribute deleted:
(2.1). adjustment of the printing plate base library has data, deletes incidence relation, reserves index；
(2.2) adjustment of the printing plate base library no data, deletes adjustment of the printing plate and supplements index；
(3) identical points of interest attribute is replicated；
Then, integrated results.
A kind of method that the invention provides quick integration points of interest attribute, solves traditional approach labor intensive, inefficiency, the drawbacks such as error probability is big, makes integration points of interest attribute more accurately, quickly, efficiently.
The key problem in technology point of the present invention is based on points of interest attribute, how to realize quickly integrating and the utility model flow process updated and method.This invention is utilized to be integrated fast and accurately by the interest point information that multiple support channels are originated, enrich constantly in original map datum basis points of interest attribute, at utmost meet the requirement to life information when customer inquiries indexes, constantly accelerate map data update speed and database establishment, improve the processing technology of data precision and electronic chart, provide efficient geographic information services in time for all kinds of clients.
Claims (10)
1. the method for an integrated database, it is characterised in that including:
The adeditive attribute of the base attribute of one first point of interest, described first point of interest is obtained respectively from the first data base；
The base attribute of each the second point of interest is obtained from the second data base；
The base attribute of each described second point of interest in base attribute according to described first point of interest, described second data base, generates the similarity between described first point of interest and each described second point of interest；
Judge whether described second data base includes the second point of interest more than the first predetermined value of the similarity between described first point of interest, generate the first judged result；
If described first judged result is no, then the adeditive attribute of the base attribute of described first point of interest and described first point of interest is copied in described second data base；
If the first judged result is yes, then carry out described first point of interest adeditive attribute and and described first point of interest between similarity more than the integration between the adeditive attribute of described second point of interest of the first predetermined value.
2. the method for integrated database according to claim 1, it is characterised in that also include:
The base attribute of one second point of interest is obtained respectively from described second data base；
The base attribute of each the first point of interest is obtained from described first data base；
According to the base attribute of each the first point of interest in the base attribute of described second point of interest, the first data base, generate the similarity between described second point of interest and each described first point of interest；
Judge whether described first data base comprises the similarity with described second point of interest more than the first point of interest of the second predetermined value, generate the second judged result；
If described second judged result is no, then delete the base attribute of described second point of interest and the adeditive attribute of described second point of interest from described first data base.
3. the method for integrated database according to claim 1, it is characterized in that, described in carry out described first point of interest adeditive attribute and and described first point of interest between similarity include more than the step of the integration between the adeditive attribute of described second point of interest of the first predetermined value:
From the similarity between described first point of interest more than, the second point of interest of predetermined value, selecting the second point of interest that similarity is the highest；
Carry out the Data Integration of the adeditive attribute of the adeditive attribute of described first point of interest and the highest the second point of interest of described similarity.
4. the method for integrated database according to claim 3, it is characterised in that described in carry out the adeditive attribute of described first point of interest and the highest the second point of interest of described similarity the step of Data Integration of adeditive attribute include:
Judge that whether the adeditive attribute of the second point of interest that the adeditive attribute of described first point of interest is the highest with described similarity is identical；If identical, then do not process；If it is not the same, then use the adeditive attribute of described first point of interest to update the adeditive attribute of the second the highest point of interest of described similarity；Or
Judge that whether the adeditive attribute of the second point of interest that the adeditive attribute of described first point of interest is the highest with described similarity is identical；If identical, then do not process；If it is not the same, then the adeditive attribute of described first point of interest is added in the adeditive attribute of the second the highest point of interest of described similarity.
5. the method for integrated database according to claim 1, it is characterised in that described base attribute includes: the one or more combination in any in the title of point of interest, the address of point of interest and the telephone number of point of interest.
6. the device of an integrated database, it is characterised in that including:
First acquiring unit, obtains the adeditive attribute of the base attribute of one first point of interest, described first point of interest respectively from the first data base；
Second acquisition unit, obtains the base attribute of each the second point of interest from the second data base；
First generates unit, according to the base attribute of each described second point of interest in the base attribute of described first point of interest, described second data base, generates the similarity between described first point of interest and each described second point of interest；
First judging unit, it is judged that whether include the second point of interest more than the first predetermined value of the similarity between described first point of interest in described second data base, generate the first judged result；
Copied cells, if described first judged result is no, then copies to the adeditive attribute of the base attribute of described first point of interest and described first point of interest in described second data base；
Integral unit, if the first judged result is yes, then carry out described first point of interest adeditive attribute and and described first point of interest between similarity more than the integration between the adeditive attribute of described second point of interest of the first predetermined value.
7. the device of integrated database according to claim 6, it is characterised in that also include:
3rd acquiring unit, obtains the base attribute of one second point of interest respectively from described second data base；
4th acquiring unit, obtains the base attribute of each the first point of interest from described first data base；
Second generates unit, according to the base attribute of each the first point of interest in the base attribute of described second point of interest, the first data base, generates the similarity between described second point of interest and each described first point of interest；
Second judging unit, it is judged that whether comprise the similarity with described second point of interest in described first data base more than the first point of interest of the second predetermined value, generate the second judged result；
Delete unit, if described second judged result is no, then delete the base attribute of described second point of interest and the adeditive attribute of described second point of interest from described first data base.
8. the device of integrated database according to claim 6, it is characterised in that described integral unit includes:
Select subelement, from the similarity between described first point of interest more than, the second point of interest of predetermined value, selecting the second point of interest that similarity is the highest；
Integron unit, carries out the Data Integration of the adeditive attribute of the adeditive attribute of described first point of interest and the highest the second point of interest of described similarity.
9. the device of integrated database according to claim 8, it is characterised in that described integron unit particularly as follows:
Judge that whether the adeditive attribute of the second point of interest that the adeditive attribute of described first point of interest is the highest with described similarity is identical；If identical, then do not process；If it is not the same, then use the adeditive attribute of described first point of interest to update the adeditive attribute of the second the highest point of interest of described similarity；Or
Judge that whether the adeditive attribute of the second point of interest that the adeditive attribute of described first point of interest is the highest with described similarity is identical；If identical, then do not process；If it is not the same, then the adeditive attribute of described first point of interest is added in the adeditive attribute of the second the highest point of interest of described similarity.
10. the device of integrated database according to claim 6, it is characterised in that described base attribute includes: the one or more combination in any in the title of point of interest, the address of point of interest and the telephone number of point of interest.
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| CN104751232B (en) * | 2015-04-27 | 2018-07-31 | 携程计算机技术（上海）有限公司 | Hotel's automatic matching method |
| TWI567576B (en) * | 2015-11-02 | 2017-01-21 | 財團法人資訊工業策進會 | Integration device and integration method thereof |
| CN108572947B (en) * | 2017-03-13 | 2019-11-19 | 腾讯科技（深圳）有限公司 | A kind of data fusion method and device |
| CN111382604A (en) * | 2018-12-27 | 2020-07-07 | 深圳光启空间技术有限公司 | Face recognition method and system |
| CN113076493A (en) * | 2021-03-31 | 2021-07-06 | 北京达佳互联信息技术有限公司 | Electronic map point of interest (POI) data processing method and device and server |
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| CN101814114A (en) * | 2010-01-07 | 2010-08-25 | 北京航空航天大学 | Method for performing fault diagnosis by using model conversion |
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