CN103207859A - Method and device for integrating databases - Google Patents

Method and device for integrating databases Download PDF

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CN103207859A
CN103207859A CN2012100076622A CN201210007662A CN103207859A CN 103207859 A CN103207859 A CN 103207859A CN 2012100076622 A CN2012100076622 A CN 2012100076622A CN 201210007662 A CN201210007662 A CN 201210007662A CN 103207859 A CN103207859 A CN 103207859A
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interest
point
attribute
database
similarity
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CN103207859B (en
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陶海超
肖霖
程鹏
邹兴中
杨卫军
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Navinfo Co Ltd
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Navinfo Co Ltd
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Abstract

The invention provides a method for integrating databases and a device for integrating the databases, relates to the field of data, and solves the technical problem that in the prior art the databases need to be integrated manually. The method comprises the steps of obtaining a basic attribute of a first point of interest, and an additive attribute of the first point of interest respectively from a first database; obtaining a basic attribute of each second point of interest from a second database; according to the basic attribute of the first point of interest and the basic attribute of each second point of interest in the second database, generating a similarity between the first point of interest and each second point of interest; judging whether the second database comprises a second point of interest of which the similarity between the second point of interest and the first point of interest is greater than a first preset value or not, and generating a first judgment result; and if the first judgment result is no, copying the basic attribute of the first point of interest and the additive attribute of the first point of interest to the second database. According to the invention, the data processing efficiency is improved.

Description

The method and apparatus of integrated database
Technical field
The present invention relates to database field, refer to a kind of method and apparatus of integrated database especially.
Background technology
In present stage, the points of interest attribute integration process all is to adopt the method for manual search inquiry to compare basically, and the index of identical information is combined.This traditional production method has been difficult to satisfy the growing extensive requirement of upgrading index data fast.This traditional approach labor intensive, inefficiency.
Summary of the invention
The technical problem to be solved in the present invention provides a kind of method and apparatus of integrated database, has improved the efficient of integrated database.
For solving the problems of the technologies described above, embodiments of the invention provide technical scheme as follows:
On the one hand, provide a kind of method of integrated database, comprising:
From first database, obtain the base attribute of one first point of interest, the adeditive attribute of described first point of interest respectively;
From second database, obtain the base attribute of each second point of interest;
According to the base attribute of each described second point of interest in the base attribute of described first point of interest, described second database, generate the similarity between described first point of interest and each described second point of interest;
Judge whether include in described second database and described first point of interest between similarity greater than second point of interest of first predetermined value, generate first judged result;
If described first judged result then copies to the base attribute of described first point of interest and the adeditive attribute of described first point of interest in described second database for not;
If first judged result for being, then carry out described first point of interest adeditive attribute and and described first point of interest between similarity greater than the integration between the adeditive attribute of described second point of interest of first predetermined value.
The method of described integrated database is characterized in that, also comprises:
From described second database, obtain the base attribute of one second point of interest respectively;
From described first database, obtain the base attribute of each first point of interest;
Base attribute according to each first point of interest in the base attribute of described second point of interest, first database generates the similarity between described second point of interest and each described first point of interest;
Judge whether comprise in described first database and the similarity of described second point of interest first point of interest greater than second predetermined value, generate second judged result;
If described second judged result is then deleted the base attribute of described second point of interest and the adeditive attribute of described second point of interest from described first database for not.
Described adeditive attribute of carrying out described first point of interest and and described first point of interest between similarity comprise greater than the step of the integration between the adeditive attribute of described second point of interest of first predetermined value:
From and described first point of interest between second point of interest of similarity greater than predetermined value, select the second the highest point of interest of similarity;
Carrying out the data of the adeditive attribute of the second the highest point of interest of the adeditive attribute of described first point of interest and described similarity integrates.
The step that the data of the adeditive attribute of second point of interest that described adeditive attribute of carrying out described first point of interest and described similarity are the highest are integrated comprises:
Whether the adeditive attribute of second point of interest that the adeditive attribute of judging described first point of interest and described similarity are the highest is identical; If identical, then do not handle; If inequality, then use the adeditive attribute of described first point of interest to upgrade the adeditive attribute of the second the highest point of interest of described similarity; Perhaps
Whether the adeditive attribute of second point of interest that the adeditive attribute of judging described first point of interest and described similarity are the highest is identical; If identical, then do not handle; If inequality, 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 comprises: the one or more combination in any in the telephone number of the title of point of interest, the address of point of interest and point of interest.
On the other hand, provide a kind of device of integrated database, comprising:
First acquiring unit obtains the base attribute of one first point of interest, the adeditive attribute of described first point of interest respectively from first database;
Second acquisition unit obtains the base attribute of each second point of interest from second database;
First generation 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 database, generates the similarity between described first point of interest and each described second point of interest;
First judging unit, judge whether include in described second database and described first point of interest between similarity greater than second point of interest of first predetermined value, generate first judged result;
Copied cells is if described first judged result then copies to the base attribute of described first point of interest and the adeditive attribute of described first point of interest in described second database for not;
Integral unit, if first judged result for being, then carry out described first point of interest adeditive attribute and and described first point of interest between similarity greater than the integration between the adeditive attribute of described second point of interest of first predetermined value.
The device of described integrated database also comprises:
The 3rd acquiring unit obtains the base attribute of one second point of interest respectively from described second database;
The 4th acquiring unit obtains the base attribute of each first point of interest from described first database;
Second generation unit, the base attribute according to each first point of interest in the base attribute of described second point of interest, first database generates the similarity between described second point of interest and each described first point of interest;
Second judging unit judges whether comprise in described first database and the similarity of described second point of interest first point of interest greater than second predetermined value, generate second judged result;
Delete cells is if described second judged result is then deleted the base attribute of described second point of interest and the adeditive attribute of described second point of interest from described first database for not.
Described integral unit comprises:
The chooser unit, from and described first point of interest between second point of interest of similarity greater than predetermined value, select the second the highest point of interest of similarity;
The integron unit carries out the data of the adeditive attribute of the second the highest point of interest of the adeditive attribute of described first point of interest and described similarity and integrates.
Described integron unit is specially:
Whether the adeditive attribute of second point of interest that the adeditive attribute of judging described first point of interest and described similarity are the highest is identical; If identical, then do not handle; If inequality, then use the adeditive attribute of described first point of interest to upgrade the adeditive attribute of the second the highest point of interest of described similarity; Perhaps
Whether the adeditive attribute of second point of interest that the adeditive attribute of judging described first point of interest and described similarity are the highest is identical; If identical, then do not handle; If inequality, 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 comprises: the one or more combination in any in the telephone number of the title of point of interest, the address of point of interest and point of interest.
Embodiments of the invention have following beneficial effect:
In the such scheme, from first database, obtain the base attribute of first point of interest, the adeditive attribute of described first point of interest; Base attribute according to each second point of interest in the base attribute of described first point of interest, second database generates the similarity between described first point of interest and each described second point of interest; Judge whether include in described second database and described first point of interest between similarity greater than second point of interest of first predetermined value, generate first judged result; If described first judged result then copies to the base attribute of described first point of interest and the adeditive attribute of described first point of interest in described second database for not; If first judged result, is then carried out the integration between the adeditive attribute of the adeditive attribute of described first point of interest and described second point of interest for being, can realize that the automaticdata between first database and second database is integrated, operating efficiency is provided.
Description of drawings
Fig. 1 represents the schematic flow sheet of the method for integrated database shown in the present;
Fig. 2 represents the structural representation of the device of a kind of integrated database shown in the present;
Fig. 3 represents the schematic flow sheet of an application scenarios of the method for integrated database shown in the present;
Fig. 4 represents the schematic flow sheet of Another Application scene of the method for integrated database shown in the present.
Embodiment
For technical matters, technical scheme and advantage that embodiments of the invention will be solved is clearer, be described in detail below in conjunction with the accompanying drawings and the specific embodiments.
As shown in Figure 1, the method for a kind of integrated database shown in the present comprises:
Step 11 is obtained the base attribute of first point of interest, the adeditive attribute of described first point of interest from first database; Described base attribute comprises: the one or more combination in any in the telephone number of the title of point of interest, the address of point of interest and point of interest.Described adeditive attribute can be business informations such as: business hours, business price.For example, first database can be the database of redaction, and second database can be the database of legacy version.For example, comprise a plurality of first points of interest in first database, ID is that the base attribute of 1 first point of interest is: title: New World Hotel, address: No. 1, Chaoyangmenwai Dajie, telephone number: 010-65978888.ID is that the adeditive attribute of 1 first point of interest is: business hours: 9.00-16.00, the line of business: western-style food, vegetable price, the up-to-date price etc. that purchases by group.It will be understood by those skilled in the art that first database can comprise the point of interest record of a lot of bars.
Step 12 is obtained the base attribute of each second point of interest from second database;
Step 13, the base attribute according to each second point of interest in the base attribute of described first point of interest, second database 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, and the address, the phone similarity, calculate similarity:
Identical: the new edition point of interest equates all that with title, phone, the address of adjustment of the printing plate point of interest similarity is 100;
Similarity height: for example:
The base attribute of the point of interest of first database:
Figure BDA0000130141900000051
The base attribute of second database:
Figure BDA0000130141900000052
In this example, phone equates and title similarity height that similarity is calculated as 95.Can utilize the method for calculating similarity in the prior art, according to the similarity between two points of interest of base attribute calculating of two points of interest.
Step 14, judge whether include in described second database and described first point of interest between similarity greater than second point of interest of first predetermined value, generate first judged result;
Step 15 is if described first judged result then copies to the base attribute of described first point of interest and the adeditive attribute of described first point of interest in described second database for not;
Step 16, if first judged result for being, then carry out described first point of interest adeditive attribute and and described first point of interest between similarity greater than the integration between the adeditive attribute of described second point of interest of first predetermined value.
In one embodiment, step 16 comprises:
Step 161A, whether the adeditive attribute of second point of interest that the adeditive attribute of judging described first point of interest and described similarity are the highest is identical;
If step 162A identical, does not then handle;
If step 163A inequality, then uses the adeditive attribute of described first point of interest to upgrade the adeditive attribute of the second the highest point of interest of described similarity.When adeditive attribute intersexuality sometimes, when needing to bring in constant renewal in, then use the adeditive attribute of described first point of interest to upgrade the adeditive attribute of the second the highest point of interest of described similarity.This step specifically can be upgraded respectively according to the different classes of of adeditive attribute.For example, the name of first point of interest is called the Xi Dan Market, and the name of second point of interest that similarity is the highest is called the Xi Dan Market; Comprise up-to-date information of discount classification in the classification of adeditive attribute, then can use the up-to-date information of discount of described first point of interest to upgrade the up-to-date information of discount of the second the highest point of interest of described similarity.
In another embodiment, step 16 comprises:
Step 161B, whether the adeditive attribute of second point of interest that the adeditive attribute of judging described first point of interest and described similarity are the highest is identical;
If step 162B identical, does not then handle;
If step 163B inequality, then adds 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 first database is carried out the processing of step 11-15.
Optionally, in order to guarantee the accuracy of database, remove out-of-date point of interest, the method for described integrated database also comprises:
Step 17 is obtained the base attribute of one second point of interest respectively from described second database; Respectively each second point of interest in second database is carried out the processing of step 16-19.In order to reduce the treatment capacity of data, second point of interest that obtains in this step can be residue second point of interest except the second the highest point of interest of above-mentioned similarity in second database.
Step 18 is obtained the base attribute of each first point of interest from described first database;
Step 19, the base attribute according to each first point of interest in the base attribute of described second point of interest, first database generates the similarity between described second point of interest and each described first point of interest;
Step 110 judges whether comprise in described first database and the similarity of described second point of interest first point of interest greater than second predetermined value, generate second judged result; Optionally, described second predetermined value and first predetermined value can be set to equate, can be 85.
Step 111 is if described second judged result is then deleted the base attribute of described second point of interest and the adeditive attribute of described second point of interest from described first database for not.If described second judged result is for being then not deal with.
As shown in Figure 2, the device for integrated database of the present invention comprises:
First acquiring unit 21 obtains the base attribute of first point of interest, the adeditive attribute of described first point of interest from first database;
Second acquisition unit 22 obtains the base attribute of each second point of interest from second database;
First generation unit 23, the base attribute according to each second point of interest in the base attribute of described first point of interest, second database generates the similarity between described first point of interest and each described second point of interest;
First judging unit 24, judge whether include in described second database and described first point of interest between similarity greater than second point of interest of first predetermined value, generate first judged result;
Copied cells 25 is if described first judged result then copies to the base attribute of described first point of interest and the adeditive attribute of described first point of interest in described second database for not;
Integral unit 26, if first judged result for being, then carry out described first point of interest adeditive attribute and and described first point of interest between similarity greater than the integration between the adeditive attribute of described second point of interest of first predetermined value.
The device of described integrated database also comprises:
The 3rd acquiring unit 27 obtains the base attribute of one second point of interest respectively from described second database;
The 4th acquiring unit 28 obtains the base attribute of each first point of interest from described first database;
Second generation unit 29, the base attribute according to each first point of interest in the base attribute of described second point of interest, first database generates the similarity between described second point of interest and each described first point of interest;
Second judging unit 210 judges whether comprise in described first database and the similarity of described second point of interest first point of interest greater than second predetermined value, generate second judged result;
Delete cells 211 is if described second judged result is then deleted the base attribute of described second point of interest and the adeditive attribute of described second point of interest from described first database for not.
Described integral unit 26 comprises:
Chooser unit 261, from and described first point of interest between second point of interest of similarity greater than predetermined value, select the second the highest point of interest of similarity;
Integron unit 262 carries out the data of the adeditive attribute of the second the highest point of interest of the adeditive attribute of described first point of interest and described similarity and integrates.
Described integron unit 262 is specially:
Whether the adeditive attribute of second point of interest that the adeditive attribute of judging described first point of interest and described similarity are the highest is identical; If identical, then do not handle; If inequality, then use the adeditive attribute of described first point of interest to upgrade the adeditive attribute of the second the highest point of interest of described similarity; Perhaps
Whether the adeditive attribute of second point of interest that the adeditive attribute of judging described first point of interest and described similarity are the highest is identical; If identical, then do not handle; If inequality, 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 comprises: the one or more combination in any in the telephone number of the title of point of interest, the address of point of interest and point of interest.
The invention provides a kind of quick integration and upgrade the application scenarios of flow process of the adeditive attribute of point of interest.This method has improved production efficiency and the data accuracy rate of data in the production run that solves index data.In this application scenarios, comprise first database (redaction) in channel source and channel originate second database (legacy version) and basic database; At first, use the second database update basic database; Upgrade basic database according to the difference result between second database and second database then.
Wherein, DP (Database POI) is the base library index data; CP (Ctrip POI) is channel source index data; NP (New POI) is the channel source, and base library does not have, newly-increased index data; AP (All POI) is all points of interest, the integrated results of base library data and channel source-information.
May further comprise the steps: at first, obtain the channel source-information; Then, carry out related with existing index; Then, replenish index data, then, integrate channel source and basic data, AP=DP+NP.
As shown in Figure 3, the specific implementation process of integration is as follows:
At first, obtain data, obtain the multi-aspect information of point of interest, i.e. adeditive attribute.For example, point of interest is restaurant, Bei Jinglong township, and new information is: the vegetable price in Long Xiang restaurant.
Then, carry out related with existing index in the base library: for example, the vegetable price in restaurant, Jiang Long township is carried out related with Long Xiang restaurant in the base library.
Then, the point of interest that newly-increased base library does not have and channel has.For example, if restaurant, Wu Long township in the base library then increases the vegetable price association in restaurant, He Long township, Long Xiang restaurant in base library.
Then, integrate channel data and basic data.
As shown in Figure 4, carry out difference with first database and second database, upgrading basic database is the example explanation.As shown in the figure, more the specific implementation process of new data is as follows:
At first, regularly obtain data from professional interface, as first database; Carry out difference with last edition data, the data of last version are as second database;
Then, be divided into following several situation:
(1) Xin Zeng points of interest attribute:
(1.1) base library has the data point of interest, sets up related with the point of interest of base library points of interest attribute;
(1.2) base library no datat is replenished index according to door location information;
(2) Shan Chu points of interest attribute:
(2.1). the adjustment of the printing plate base library has data, and the deletion incidence relation reserves index;
(2.2) adjustment of the printing plate base library no datat, the deletion adjustment of the printing plate replenishes index;
(3) copy identical points of interest attribute;
Then, integrated results.
The invention provides a kind of method of quick integration points of interest attribute, solved the traditional approach labor intensive, inefficiency, drawback such as error probability is big, make integrate points of interest attribute more accurately, fast, efficient.
Key problem in technology point of the present invention is based on points of interest attribute, how to realize integrating fast and utility model flow process upgrading and method.Utilize this invention the interest point information in multiple support channels source can be integrated fast and accurately, the points of interest attribute of enriching constantly on original map datum basis, when at utmost satisfying client's search index to the requirement of life information, constantly accelerate map data update speed and database establishment, improve the manufacture craft of data precision and electronic chart, for all kinds of clients provide in time geographic information services efficiently.

Claims (10)

1. the method for an integrated database is characterized in that, comprising:
From first database, obtain the base attribute of one first point of interest, the adeditive attribute of described first point of interest respectively;
From second database, obtain the base attribute of each second point of interest;
According to the base attribute of each described second point of interest in the base attribute of described first point of interest, described second database, generate the similarity between described first point of interest and each described second point of interest;
Judge whether include in described second database and described first point of interest between similarity greater than second point of interest of first predetermined value, generate first judged result;
If described first judged result then copies to the base attribute of described first point of interest and the adeditive attribute of described first point of interest in described second database for not;
If first judged result for being, then carry out described first point of interest adeditive attribute and and described first point of interest between similarity greater than the integration between the adeditive attribute of described second point of interest of first predetermined value.
2. the method for integrated database according to claim 1 is characterized in that, also comprises:
From described second database, obtain the base attribute of one second point of interest respectively;
From described first database, obtain the base attribute of each first point of interest;
Base attribute according to each first point of interest in the base attribute of described second point of interest, first database generates the similarity between described second point of interest and each described first point of interest;
Judge whether comprise in described first database and the similarity of described second point of interest first point of interest greater than second predetermined value, generate second judged result;
If described second judged result is then deleted the base attribute of described second point of interest and the adeditive attribute of described second point of interest from described first database for not.
3. the method for integrated database according to claim 1, it is characterized in that, described adeditive attribute of carrying out described first point of interest and and described first point of interest between similarity comprise greater than the step of the integration between the adeditive attribute of described second point of interest of first predetermined value:
From and described first point of interest between second point of interest of similarity greater than predetermined value, select the second the highest point of interest of similarity;
Carrying out the data of the adeditive attribute of the second the highest point of interest of the adeditive attribute of described first point of interest and described similarity integrates.
4. the method for integrated database according to claim 3 is characterized in that, the step that the data of the adeditive attribute of second point of interest that described adeditive attribute of carrying out described first point of interest and described similarity are the highest are integrated comprises:
Whether the adeditive attribute of second point of interest that the adeditive attribute of judging described first point of interest and described similarity are the highest is identical; If identical, then do not handle; If inequality, then use the adeditive attribute of described first point of interest to upgrade the adeditive attribute of the second the highest point of interest of described similarity; Perhaps
Whether the adeditive attribute of second point of interest that the adeditive attribute of judging described first point of interest and described similarity are the highest is identical; If identical, then do not handle; If inequality, 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 is characterized in that, described base attribute comprises: the one or more combination in any in the telephone number of the title of point of interest, the address of point of interest and point of interest.
6. the device of an integrated database is characterized in that, comprising:
First acquiring unit obtains the base attribute of one first point of interest, the adeditive attribute of described first point of interest respectively from first database;
Second acquisition unit obtains the base attribute of each second point of interest from second database;
First generation 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 database, generates the similarity between described first point of interest and each described second point of interest;
First judging unit, judge whether include in described second database and described first point of interest between similarity greater than second point of interest of first predetermined value, generate first judged result;
Copied cells is if described first judged result then copies to the base attribute of described first point of interest and the adeditive attribute of described first point of interest in described second database for not;
Integral unit, if first judged result for being, then carry out described first point of interest adeditive attribute and and described first point of interest between similarity greater than the integration between the adeditive attribute of described second point of interest of first predetermined value.
7. the device of integrated database according to claim 6 is characterized in that, also comprises:
The 3rd acquiring unit obtains the base attribute of one second point of interest respectively from described second database;
The 4th acquiring unit obtains the base attribute of each first point of interest from described first database;
Second generation unit, the base attribute according to each first point of interest in the base attribute of described second point of interest, first database generates the similarity between described second point of interest and each described first point of interest;
Second judging unit judges whether comprise in described first database and the similarity of described second point of interest first point of interest greater than second predetermined value, generate second judged result;
Delete cells is if described second judged result is then deleted the base attribute of described second point of interest and the adeditive attribute of described second point of interest from described first database for not.
8. the device of integrated database according to claim 6 is characterized in that, described integral unit comprises:
The chooser unit, from and described first point of interest between second point of interest of similarity greater than predetermined value, select the second the highest point of interest of similarity;
The integron unit carries out the data of the adeditive attribute of the second the highest point of interest of the adeditive attribute of described first point of interest and described similarity and integrates.
9. the device of integrated database according to claim 8 is characterized in that, described integron unit is specially:
Whether the adeditive attribute of second point of interest that the adeditive attribute of judging described first point of interest and described similarity are the highest is identical; If identical, then do not handle; If inequality, then use the adeditive attribute of described first point of interest to upgrade the adeditive attribute of the second the highest point of interest of described similarity; Perhaps
Whether the adeditive attribute of second point of interest that the adeditive attribute of judging described first point of interest and described similarity are the highest is identical; If identical, then do not handle; If inequality, 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 is characterized in that, described base attribute comprises: the one or more combination in any in the telephone number of the title of point of interest, the address of point of interest and point of interest.
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