CN104216895A - Method and device for generating POI data - Google Patents
Method and device for generating POI data Download PDFInfo
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Abstract
The invention discloses a method and device for generating POI data. The method and device aim at solving the problems that in the prior art, POI data generating time delay is long, POI data generating efficiency is low, quality of generated POI data is poor, and consumed manpower and consumed material resources are large. The method includes the steps of obtaining original POI data; processing the original POI data according to a field setting rule corresponding to a source of the original POI data, and obtaining standard POI data; matching POI data in a preset POI database with the POI data which describe the same POI along with the standard POI data; if matching is unsuccessful, adding the standard POI data into the POI database; if matching is successful, fusing the standard POI data and the matched POI data, and updating the matched POI data with POI data obtained after fusing. By means of the technical scheme, the POI data generating speed is increased, the POI data generating efficiency is improved, and the quality of the generated POI data is improved.
Description
Technical field
The present invention relates to data processing field, relate in particular to a kind of method and device of the POI of generation data.
Background technology
At present, point of interest in map data base (Point Of Interest, POI) data, mainly generate and obtain in the following manner: outdoor workers carries out field operation and gathers on the spot, send to surveyor to process, process the raw data collecting, to obtain meeting the POI data of standard; And, when many POI data that collect are while describing same POI, from these many POI data, to choose an information and describe comparatively accurate, abundant POI data as POI data corresponding to this POI, other POI data are deleted., can there is following technological deficiency in the mode of this generation POI data:
Defect 1, POI data volume are huge, if adopt existing POI data processing method, every POI data all need to gather on the spot by outdoor workers, and not only treatment cycle is long, efficiency is lower, but also need to consume a large amount of human and material resources resources; And, follow-up POI data in map data base are upgraded, also need to carry out a large amount of collections, work for the treatment of, the update cycle also long, efficiency is lower;
Defect 2, for a certain POI, if while having many POI data, only using wherein one as POI data corresponding to this POI, and its information comprising of POI data is more limited often, therefore, adopt and generate in this way POI data, rich relative with accuracy poor, second-rate.
Summary of the invention
When existing for the mode of existing generation POI data, extend, inefficient technical matters, the embodiment of the present invention provides a kind of method and device of the POI of generation data, to realize, improves speed, efficiency and the quality that generates POI data in the situation that saving human and material resources resource.
A method that generates POI data, comprising:
Obtain POI raw data;
According to the corresponding field in the source of POI raw data, rule is set, described POI raw data is processed, obtain POI normal data;
POI data in preset POI database, coupling and described POI normal data are described the POI data of same POI;
If coupling less than, described POI normal data is added in described POI database;
If match, the POI data of described POI normal data being mated with it are carried out fusion treatment, the POI data of mating described in the POI Data Update obtaining by fusion treatment.
A device that generates POI data, comprising:
Raw data acquiring unit, for obtaining POI raw data;
Data generating unit, for rule being set according to the corresponding field in the source of POI raw data, processes described POI raw data, obtains POI normal data;
The first matching unit, for the POI data of the POI database preset, coupling is described the POI data of same POI with described POI normal data, if mate less than triggering the first storage unit, if match trigger data integrated unit;
The first storage unit, for being added into described POI database by described POI normal data;
Data fusion unit, carries out fusion treatment for the POI data that described POI normal data is mated with it, the POI data of mating described in the POI Data Update obtaining by fusion treatment.
The method of the generation POI data that provide in the embodiment of the present invention, can process and obtain POI normal data the POI raw data of separate sources, and while there is not this POI normal data in POI database, directly this POI normal data is stored in POI database, in POI database, exist while describing the POI data of same POI with this POI normal data, this POI normal data and these POI data are carried out to fusion treatment, the POI data of mating described in the POI Data Update obtaining by fusion treatment.Adopt technical solution of the present invention, on the one hand, not only having realized the POI raw data to separate sources of robotization processes, to obtain POI data, only by artificial field operation, gathering the mode that POI raw data obtains POI data on the spot with prior art compares, improve formation speed and the efficiency of POI data, but also enriched timely POI database; On the other hand, in POI database, exist while describing the POI data of same POI with this POI normal data, this normal data and these POI data are carried out to fusion treatment, further enrich information and the accuracy of POI data, make POI data more can describe complete, accurately POI, improve the quality of POI data.
Accompanying drawing explanation
Fig. 1 is one of method flow diagram generating in the embodiment of the present invention POI data;
Fig. 2 be in the embodiment of the present invention, generate POI data method flow diagram two;
Fig. 3 be in the embodiment of the present invention, generate POI data method flow diagram three;
Fig. 4 be in the embodiment of the present invention, generate POI data method flow diagram four;
Fig. 5 be in the embodiment of the present invention, generate POI data method flow diagram five;
Fig. 6 be in the embodiment of the present invention, generate POI data method flow diagram six;
Fig. 7 be in the embodiment of the present invention, generate POI data method flow diagram seven;
Fig. 8 is the method flow diagram in the embodiment of the present invention, normal data being mated with the POI data in POI database;
Fig. 9 is one of structural representation generating in the embodiment of the present invention by POI data set;
Figure 10 be in the embodiment of the present invention, generate POI data set structural representation two;
Figure 11 be in the embodiment of the present invention, generate POI data set structural representation three;
Figure 12 be in the embodiment of the present invention, generate POI data set structural representation four;
Figure 13 be in the embodiment of the present invention, generate POI data set structural representation five;
Figure 14 be in the embodiment of the present invention, generate POI data set structural representation six;
Figure 15 be in the embodiment of the present invention, generate POI data set structural representation seven.
Embodiment
When existing for the mode of existing generation POI data, extend, inefficient technical matters, the embodiment of the present invention provides a kind of method and device of the POI of generation data, to realize, improves speed, efficiency and the quality that generates POI data in the situation that saving human and material resources resource.
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is clearly and completely described, obviously, described embodiment is only the present invention's part embodiment, rather than whole embodiment.Embodiment based in the present invention, those of ordinary skills, not making the every other embodiment obtaining under creative work prerequisite, belong to the scope of protection of the invention.
Referring to Fig. 1, for generating the method flow diagram of POI data in the embodiment of the present invention, the method comprises:
Step 101, obtain POI raw data.
Step 102, according to the corresponding field in the source of POI raw data, rule is set, described POI raw data is processed, obtain POI normal data.
Step 103, the POI data in preset POI database, coupling and described POI normal data are described the POI data of same POI, if coupling is less than performing step 104, if match, perform step 105.
Step 104, described POI normal data is added in described POI database.
Step 105, the POI data that described POI normal data is mated with it are carried out fusion treatment, the POI data of mating described in the POI Data Update obtaining by fusion treatment.
In the embodiment of the present invention, POI raw data can be traditional pass through data, the data of business cooperation, network that outdoor workers collects on the spot and capture the data that obtain and the error correction data of user feedback etc., and wherein network captures the POI raw data obtaining and has the abundant feature of depth information.The data layout of the POI raw data of separate sources may be different, as the form of 1 the POI raw data of originating for " title+address+phone+... " the form of the POI raw data in source 2 is " title+city codes+phone+address ", even and identical field, its form also may differ to, such as telephone number, the form of the telephone number in source 1 is 010-80004000, the form of the telephone number in source 2 is 010-8000-4000, and the form of the telephone number in source 3 is 01080004000.Therefore, need to process the POI raw data of separate sources, to obtain having the POI normal data of consolidation form.Particularly, need in advance the POI raw data of separate sources to analyze, the data layout that obtains each source, arranges rule for each POI Data Source generates corresponding data field, and pre-stored POI Data Source arranges regular corresponding relation with source data field.After the step 101 of the flow process described in earlier figures 1, comprise step 101a and step 101b, step 102 now can substitute by following step 1021～step 1022, as shown in Figure 2, wherein:
Step 101a, the source that obtains POI raw data;
Step 101b, the POI Data Source prestoring with source data field arrange in regular corresponding relation, the field of searching the source correspondence of described POI raw data arranges rule;
Step 1021, according to the field of the source correspondence of described POI raw data, rule is set, from described POI raw data, extracts the content of respective field;
Step 1022, the content of the field extracting is organized into POI normal data according to POI data layout in POI database.
Preferably, be the validity of the POI normal data guaranteeing to generate, between the step 1021 of the method flow described in earlier figures 2 and step 1022, also comprise step 1021a～step 1021b, as shown in Figure 3, wherein:
Step 1021a, judge in the content of described extraction field whether do not comprise address and latitude and longitude coordinates, if perform step 1021b, otherwise execution step 1022;
Step 1021b, determine that described POI raw data is invalid data, abandon described POI raw data.
Preferably, for guaranteeing the information integrity of the normal data of generation, in the process flow diagram shown in earlier figures 3, after step 1022, also comprise step 1022a～step 1022b, as shown in Figure 4, wherein:
Step 1022a, judge that whether described POI normal data exists content is empty field, if do not exist, perform step 103, if exist, perform step 1022b;
Step 1022b, according to being the content of the relevant field of empty field with content in described POI normal data, obtain content and be the content of empty field, and the content getting is added in the corresponding field of described POI normal data, and perform step 103.
Abovementioned steps 1022b, be specially and carry out following any one or more operations: if A content for empty be address field, adopt contrary geocoding algorithm to obtain address according to the latitude and longitude coordinates in latitude and longitude coordinates field, and the address obtaining is added in the address field of described POI normal data; If B content is latitude and longitude coordinates field for sky, adopt geocoding algorithm according to the address in address field, obtain latitude and longitude coordinates, and the latitude and longitude coordinates of obtaining is added in the latitude and longitude coordinates field of described POI normal data; If C content is classification field for sky, according to the name field in described POI normal data, judge the classification of described POI, and obtain code corresponding to described classification, the code obtaining is added in the classification field of described POI normal data.
In the embodiment of the present invention, POI normal data comprises Back ground Information field, and wherein Back ground Information field comprises POI title, address, latitude and longitude coordinates, affiliated classification (as parking lot, refuelling station, restaurant, market etc.) and phone etc.Preferably, for improving the rich of POI normal data, POI normal data in the embodiment of the present invention also further comprises depth information field, and wherein depth information field comprises comment information, profile information, picture, internal environment, the periphery of the POI website etc. of riding.
Preferably, for further improving the accuracy of the Back ground Information field of the POI data after fusion treatment, according to historical data, analyze in advance the priority in each source of each Back ground Information field, set up in advance the corresponding relation of the priority in field and source.As three data describing same POI source is respectively respectively source A, source B, source C, with regard to the latitude and longitude coordinates field of Back ground Information field, the accuracy of the latitude and longitude coordinates of these three data is followed successively by source B, source A, source C from high to low, and the A that originates, source B, source C are followed successively by source B, source A, source C from high to low in the priority of latitude and longitude coordinates field; With regard to address field, the address field degree of accuracy of these three data is followed successively by source A, source C, source B from high to low, and the A that originates, source B, source C are followed successively by source A, source C, source B from high to low in the priority of address field, and the rest may be inferred.Therefore, in abovementioned steps 105, the POI data that described POI normal data is mated with it are carried out fusion treatment, specifically comprise: the source that obtains the corresponding field in the Back ground Information field of the POI data of the source of each field in the Back ground Information field of POI normal data mating with it; Inconsistent if originate, from the corresponding relation of the priority in preset field and source, obtain the priority in source of this field of POI normal data and the priority in the source of this field of described POI data, the content of the high field of priority is defined as to the content of corresponding field in the basic field of the POI data that fusion treatment obtains; If source is consistent, the content of the corresponding field of the POI data that content of this field of this POI normal data or the POI data of mating with this POI normal data obtained as fusion treatment.
Preferably, for further improving the rich of depth information field, the POI data that 105 pairs of described POI normal datas of abovementioned steps mate with it are carried out fusion treatment, also further comprise: the content of the corresponding field in the depth information field of the POI data that the content of each field in the depth information field of described POI normal data is mated with it merges processing, will merge process the content obtaining and be defined as the content of the corresponding field in the depth information field of the POI data that fusion treatment obtains.In the embodiment of the present invention, the content of processing certain field that refers to POI normal data if merge is consistent with the content of the respective field of coupling POI data, the content of the corresponding field of the POI data of the content that retains one of them field after as fusion treatment, if the content of certain field and respective field inconsistent that mates POI data, the content that retains two fields, and using the equal content of the corresponding field of the POI data after fusion treatment of the content of two fields.
In the embodiment of the present invention, the specific implementation of step 103 can be as follows: the similarity of calculating the Back ground Information field of described POI normal data and the Back ground Information field of each the POI data in described POI database; When the similarity calculating is all less than preset similarity threshold, determine that coupling is less than describing the POI data of same POI with described POI normal data; When at least one similarity calculating is more than or equal to described similarity threshold, corresponding POI data maximum in similarity are defined as describing with described POI normal data the POI data of same POI.The similarity of calculating the Back ground Information field of POI normal data and the Back ground Information field of described POI data in the embodiment of the present invention can be calculated as follows: first, for each field in the Back ground Information field of POI normal data, calculate the similarity of the respective field in the Back ground Information field of this field and POI data; Then, then calculate the similarity of each field mean value (as geometrical mean or arithmetic mean) or and value; Finally, using described mean value or and value as the similarity of the Back ground Information field of described POI normal data and the Back ground Information field of POI data.
The embodiment of the present invention, can be periodically or regular (as a week, two weeks or one month, can arrange flexibly as required) from each source, obtain POI raw data, the POI raw data that this is obtained is stored to for storing the storage space of POI normal data and POI raw data; The POI raw data that this storage space once obtains before also retaining, this POI raw data, a front POI raw data and normal data three class data are stored in respectively in the zones of different piece of storage space.
Preferably, for improving speed and the efficiency that POI raw data is processed, in the embodiment of the present invention, the POI raw data that this can be obtained and the front POI raw data of once obtaining compare, only to newly increasing or having the original POI raw data of modification to process, therefore, between the step 101 and step 102 of the method flow shown in earlier figures 1, also can comprise the following steps 101A～step 101B, as shown in Figure 5:
Step 101A, the POI raw data that this is obtained and the front POI raw data of once obtaining from each source compare, and the status indication of the POI raw data of this and the previous time being obtained according to comparative result arranges;
Step 101B, extract the status indication of this POI raw data of obtaining, when the status indication of described POI raw data is for newly-increased mark or while revising mark, carry out described step 102.When the status indication of POI raw data is delete flag, process ends.
In abovementioned steps 101A, the status indication of the POI raw data of this and the previous time being obtained according to comparative result arranges, specifically comprise: each that obtain for this POI raw data, carry out following steps: if in the POI raw data that this POI raw data of obtaining is once obtained before not being included in, the status indication of this POI raw data of obtaining is set to newly-increased mark; If the POI raw data that this obtains is included in the POI raw data of obtaining for last time and field has renewal, the status indication of this POI raw data of obtaining is set to revise mark, if field is not upgraded, the status indication of the POI raw data of this not being obtained is processed; And if the POI raw data of once obtaining front is not included in this POI raw data of obtaining, the status indication of the front POI raw data of once obtaining is set to delete flag.
Preferably, after the step 102 shown in earlier figures 5, further comprising the steps of 102A～step 102D, as shown in Figure 6:
It is consistent that the status indication of step 102A, this POI normal data obtaining is set to the status indication of the POI raw data corresponding with it;
The POI normal data that step 102B, the status indication that this is obtained are newly-increased mark adds to for storing the storage space of POI normal data;
Step 102C, the status indication obtaining with this are that the POI normal data of revising mark is replaced POI normal data corresponding in described storage space;
Step 102D, will be in storage space be revised as delete flag with front once status indication that obtain and the corresponding POI normal data of POI raw data that status indication is delete flag.
Lift an instantiation as follows: the front POI raw data of once obtaining is A, B, C, and the POI raw data that this obtains is A, B, D, E, wherein this A has compared field renewal with previous A, and this B compares field and do not change with a front B.The POI raw data of once obtaining relatively and this POI raw data of obtaining are known, D and E are newly-increased data, the status indication of D and E is set to newly-increased mark, and D and normal data D ' corresponding to E and the status indication of E ' are also set to newly-increased mark; A has renewal, and the status indication of A is set to revise mark, and the status indication of normal data A ' corresponding to A is set to revise mark; The data of C for need deleting, therefore the status indication of C is set to delete flag, and the status indication of normal data C ' corresponding to C is set to delete flag.D ' and E ' are added in storage space; A ' is replaced to corresponding normal data in storage space.
Preferably, for further optimizing and expand POI data in POI database, the embodiment of the present invention, when the status indication of this POI normal data obtaining is for revising mark, and in preset POI database, can mate while describing the POI data of same POI with described POI normal data, in the flow process shown in earlier figures 6, also comprise step 105A～step 105B, as shown in Figure 7:
Step 105A, judgement and the described POI normal data POI data that the match is successful before being whether once with the described POI normal data POI data that the match is successful, if process ends, otherwise execution step 105B;
Step 105B, front in described storage space once mated to other POI normal datas that same POI data and status indication are non-delete mark with described POI normal data, mate with the POI data in described POI database respectively, and when matching POI data, the POI data that execution is mated with it described other POI normal datas are carried out fusion treatment, the step of the POI data of mating described in the POI Data Update obtaining by fusion treatment.
In concrete practical application, in the embodiment of the present invention, during certain POI Data Matching in POI normal data and POI database, in storage space, the basic ID of this POI normal data is set to the ID of the POI data of mating with it.When the POI normal data in storage space and the POI data in POI database are carried out matching treatment, first read the status indication of this POI normal data, POI normal data to status indication for newly-increased mark, directly mates this POI normal data with POI database, the POI normal data that is delete flag to status indication, does not carry out matching treatment, POI normal data to status indication for modification mark, this POI normal data is mated again with POI database, and this and the POI normal data POI data that the match is successful again and front when once inconsistent with this POI normal data POI data that the match is successful, other POI normal datas (being that other POI normal datas refer to the POI normal data that the basic ID of basic ID and described POI normal data in storage space is consistent) of same POI data will be once matched with described POI normal data before in storage space, again mate with the POI data in described POI database respectively, and when the match is successful, the POI data that described other POI normal datas are mated with it are carried out fusion treatment, the POI data of mating described in the POI Data Update obtaining by fusion treatment.
For further making those skilled in the art be easier to understand the matching process of POI normal data and POI data in the embodiment of the present invention, below in conjunction with concrete process flow diagram, aforementioned process is described in detail.
Referring to Fig. 8, be the method flow diagram that POI normal data in the embodiment of the present invention mates with the POI data in POI database, the method comprises:
Step 8001, obtain the status indication of current POI normal data;
Step 8002, judge that whether described status indication is newly-increased mark, if perform step 8003, otherwise execution step 8004;
Step 8003, current POI normal data is mated with the POI data in POI database, and perform step 8010;
Step 8004, judge whether described status indication is delete flag, performs step 8005 if not, otherwise execution step 8010;
Step 8005, judge that whether described status indication is to revise mark, if perform step 8006, otherwise execution step 8010;
Step 8006, current POI normal data is mated again with the POI data in POI database;
Whether step 8007, judgement be consistent with front POI data of once mating with POI normal data with the POI data of current POI normal data coupling, if inconsistent, performs step 8008, otherwise perform step 8010;
Step 8008, from storage space, obtain other POI normal datas that all and current POI normal data is matched with same POI data (being other consistent POI normal datas of the basic ID of all basic ID and current POI normal data in storage space);
Step 8009, each other POI normal data is mated again with the POI data in POI database.
Step 8010, judge whether current POI normal data is the last item POI normal data in storage space, if process ends, next of usining in a storage space if not POI normal data is as current POI normal data repeated execution of steps 8001.
In the embodiment of the present invention, the POI normal data being stored in storage space is mainly used for providing data supporting for various application interfaces call, as the renewal of POI database, search engine, data statistics etc.
Same idea based on preceding method flow process, the embodiment of the present invention also provides a kind of device of the POI of generation data, and the structure of this device as shown in Figure 9, comprising:
Raw data acquiring unit 901, for obtaining POI raw data;
Data generating unit 902, for rule being set according to the corresponding field in the source of POI raw data, processes described POI raw data, obtains POI normal data;
The first matching unit 903, for the POI data of the POI database preset, coupling is described the POI data of same POI with described POI normal data, if mate less than triggering the first storage unit 904, if match trigger data integrated unit 905;
The first storage unit 904, for being added into described POI database by described POI normal data;
Data fusion unit 905, carries out fusion treatment for the POI data that described POI normal data is mated with it, the POI data of mating described in the POI Data Update obtaining by fusion treatment;
In the embodiment of the present invention, on the device shown in earlier figures 9, also comprise that source acquiring unit 906 and field arrange rule searching unit 907, described data generating unit 902 comprises that field contents extracts subelement 9021 and data generate subelement 9022, as shown in figure 10, and wherein:
Source acquiring unit 906, for after described raw data acquiring unit 901 obtains POI raw data, the source that obtains POI raw data;
Field arranges rule searching unit 907, for the POI Data Source prestoring and source data field, regular corresponding relation is set, and the field of searching the source correspondence of described POI raw data arranges rule;
Field contents extracts subelement 9021, for the field of the source correspondence according to described POI raw data, rule is set, and extracts the content of respective field from described POI raw data;
Data generate subelement 9022, for field contents being extracted to the content of the field that subelement 9021 extracts, according to POI database POI data layout, are organized into POI normal data.
Preferably, in the embodiment of the present invention, the device shown in Figure 10 also comprises the first judging unit 908, as shown in figure 11, and wherein:
The first judging unit 908, for judging whether the content that described field contents extraction subelement 9021 extracts fields does not comprise address and latitude and longitude coordinates, if determine that described POI raw data is invalid data, abandon described POI raw data, trigger data generates subelement 9022 if not.
Preferably, in the embodiment of the present invention, the device shown in Figure 11 also comprises the second judging unit 909 and field supplementary units 910, as shown in figure 12, and wherein:
The second judging unit 909, after obtaining POI normal data for the data generation subelement 9022 in described data generating unit 902, judge that whether described POI normal data exists content is empty field, if exist, trigger fields supplementary units 910, if there is not content, are that empty field triggers the first matching unit 903;
Field supplementary units 910, according to being the content of the relevant field of empty field with content in described POI normal data, obtain content and be the content of empty field, and the content getting is added in the corresponding field of described POI normal data, and trigger the first matching unit 903.
Described field supplementary units 910, specifically for: if content for empty be address field or longitude and latitude field, adopt contrary geocoding algorithm to obtain address according to the latitude and longitude coordinates in latitude and longitude coordinates field, and the address obtaining added in the address field of described POI normal data or adopt geocoding algorithm according to the address in address field, obtain latitude and longitude coordinates, and the latitude and longitude coordinates of obtaining is added in the latitude and longitude coordinates field of described POI normal data;
And/or,
If content is classification field for sky, according to the name field in described POI normal data, judge the classification of described POI, and obtain code corresponding to described classification, the code obtaining is added in the classification field of described POI normal data.
Preferably, described POI normal data comprises Back ground Information field, and the POI data that the described POI normal data in 905 pairs of described data fusion unit mates with it are carried out fusion treatment, specifically for:
Obtain the source of the corresponding field in the Back ground Information field of the POI data of the source of each field in the Back ground Information field of POI normal data mating with it, inconsistent if originate, from the corresponding relation of the priority in preset field and source, obtain the priority in source of this field of POI normal data and the priority in the source of this field of described POI data, the content of the high field of priority is defined as to the content of corresponding field in the basic field of the POI data that fusion treatment obtains.
Preferably, described POI normal data also comprises depth information field, and the POI data that the described POI normal data in 905 pairs of described data fusion unit mates with it are carried out fusion treatment, are also further used for:
The content of the corresponding field in the depth information field of the POI data that the content of each field in the depth information field of described POI normal data is mated with it merges processing, will merge process the content obtaining and be defined as the content of the corresponding field in the depth information field of the POI data that fusion treatment obtains.
Preferably, described the first matching unit 903 is specifically for the similarity of calculating the Back ground Information field of described POI normal data and the Back ground Information field of each the POI data in described POI database;
When the similarity calculating is all less than preset similarity threshold, determine that coupling is less than describing the POI data of same POI with described POI normal data;
When at least one similarity calculating is more than or equal to described similarity threshold, corresponding POI data maximum in similarity are defined as describing with described POI normal data the POI data of same POI.
Preferably, in the embodiment of the present invention, the device shown in Fig. 9 also comprises the first status indication setting unit 911 and status indication acquiring unit 912, as shown in figure 13, and wherein:
Described POI raw data acquiring unit 901, is specifically applied to: periodically or from each source, obtain POI raw data termly;
The first status indication setting unit 911, for described POI raw data acquiring unit 901 these POI raw data of obtaining and the front POI raw data of once obtaining from each source are compared, the status indication of the POI raw data of this and the previous time being obtained according to comparative result arranges;
Status indication acquiring unit 912, for extracting the status indication of this POI raw data of obtaining, when the status indication of described POI raw data is newly-increased mark or modification mark, triggers described data generating unit 902.
Preferably, the status indication of the POI raw data that described the first status indication setting unit 911 is obtained this and the previous time according to comparative result arranges, specifically for:
Each that obtain for this POI raw data, carries out following steps: if in the POI raw data that this POI raw data of obtaining is once obtained before not being included in, the status indication of this POI raw data of obtaining is set to newly-increased mark; If the POI raw data that this obtains is included in the POI raw data of obtaining for last time and field has renewal, the status indication of this POI raw data of obtaining is set to revise mark, if field is not upgraded, the status indication of the POI raw data of this not being obtained is processed;
If the POI raw data of once obtaining front is not included in this POI raw data of obtaining, and the status indication of the front POI raw data of once obtaining is set to delete flag.
Preferably, in the embodiment of the present invention, in the device shown in Figure 13, also comprise the second status indication setting unit 913, the second storage unit 914, data updating unit 915, as shown in figure 14, wherein:
The second status indication setting unit 913, for after described data generating unit 902 obtains POI normal data, it is consistent that the status indication of the POI normal data that this obtains is set to the status indication of the POI raw data corresponding with it;
The second storage unit 914, adds to for storing the storage space of POI normal data and POI raw data for increasing the POI normal data of mark newly for the status indication that this is obtained;
Data updating unit 915 is that the POI normal data of revising mark is replaced the POI normal data that described storage space is corresponding for the status indication obtaining with this; And, will in storage space, be revised as delete flag with front once status indication that obtain and the corresponding POI normal data of POI raw data that status indication is delete flag.
Preferably, in the embodiment of the present invention, when the status indication of this POI normal data obtaining is for revising mark, and in preset POI database, can mate while describing the POI data of same POI with described POI normal data, in the device shown in Figure 14, also comprise the 3rd judging unit 916 and the second matching unit 917, as shown in figure 15, wherein:
The 3rd judging unit 916, for judge with the described POI normal data POI data that the match is successful be whether before once with the described POI normal data POI data that the match is successful, trigger if not the second matching unit 917;
The second matching unit 917, for described storage space front once mated to other POI normal datas that same POI data and status indication are non-delete mark with described POI normal data, mate with the POI data in described POI database respectively, and when matching POI data trigger data integrated unit 905;
Data Fusion unit 905 is further used for, and the POI data that described other POI normal datas are mated with it are carried out fusion treatment, the POI data of mating described in the POI Data Update obtaining by fusion treatment.
The method of the generation POI data that provide in the embodiment of the present invention, can process and obtain POI normal data the POI raw data of separate sources, and while there is not this POI normal data in POI database, directly this POI normal data is stored in POI database, in POI database, exist while describing the POI data of same POI with this POI normal data, this POI normal data and these POI data are carried out to fusion treatment, the POI data of mating described in the POI Data Update obtaining by fusion treatment.Adopt technical solution of the present invention, on the one hand, not only having realized the POI raw data to separate sources of robotization processes, to obtain POI data, only by artificial field operation, gathering the mode that POI raw data obtains POI data on the spot with prior art compares, improve formation speed and the efficiency of POI data, but also enriched timely POI database; On the other hand, in POI database, exist while describing the POI data of same POI with this POI normal data, this normal data and these POI data are carried out to fusion treatment, further enrich information and the accuracy of POI data, make POI data more can describe complete, accurately POI, improve the quality of POI data.
It should be noted that, in this article, relational terms such as the first and second grades is only used for an entity or operation to separate with another entity or operational zone, and not necessarily requires or imply and between these entities or operation, have the relation of any this reality or sequentially.And, term " comprises ", " comprising " or its any other variant are intended to contain comprising of nonexcludability, thereby the process, method, article or the equipment that make to comprise a series of key elements not only comprise those key elements, but also comprise other key elements of clearly not listing, or be also included as the intrinsic key element of this process, method, article or equipment.The in the situation that of more restrictions not, the key element being limited by statement " comprising ... ", and be not precluded within process, method, article or the equipment that comprises described key element and also have other identical element.
The present invention can describe in the general context of the computer executable instructions of being carried out by computing machine, for example program module.Usually, program module comprises the routine carrying out particular task or realize particular abstract data type, program, object, assembly, data structure etc.Also can in distributed computing environment, put into practice the present invention, in these distributed computing environment, by the teleprocessing equipment being connected by communication network, be executed the task.In distributed computing environment, program module can be arranged in the local and remote computer-readable storage medium that comprises memory device.
Obviously, those skilled in the art can carry out various changes and modification and not depart from the spirit and scope of the present invention the present invention.Like this, if of the present invention these are revised and within modification belongs to the scope of the claims in the present invention and equivalent technologies thereof, the present invention is also intended to comprise these changes and modification interior.
Claims (24)
1. a method that generates POI data, is characterized in that, comprising:
Obtain POI raw data;
According to the corresponding field in the source of POI raw data, rule is set, described POI raw data is processed, obtain POI normal data;
POI data in preset POI database, coupling and described POI normal data are described the POI data of same POI;
If coupling less than, described POI normal data is added in described POI database;
If match, the POI data of described POI normal data being mated with it are carried out fusion treatment, the POI data of mating described in the POI Data Update obtaining by fusion treatment.
2. method according to claim 1, is characterized in that, after obtaining POI raw data, also comprises:
Obtain the source of POI raw data;
At the POI Data Source prestoring and source data field, arrange in regular corresponding relation, the field of searching the source correspondence of described POI raw data arranges rule;
According to the corresponding field in the source of POI raw data, rule is set, this POI raw data is processed, obtain POI normal data, be specially:
Field according to the source correspondence of described POI raw data arranges rule, extracts the content of respective field from described POI raw data;
The content of the field extracting is organized into POI normal data according to POI data layout in POI database.
3. method according to claim 2, is characterized in that, after extracting the content of respective field, also comprises from described POI raw data:
Judge in the content of described extraction field and whether do not comprise address and latitude and longitude coordinates;
If so, determine that described POI raw data is invalid data, abandons described POI raw data; If not, carry out the described step of POI normal data that the field contents extracting is become according to the format organization of the POI data in POI database.
4. method according to claim 3, is characterized in that, after obtaining POI normal data, also comprises:
Judge that whether described POI normal data exists content is empty field, if exist, according to being the content of the relevant field of empty field with content in described POI normal data, obtain content and be the content of empty field, and the content getting is added in the corresponding field of described POI normal data.
5. method according to claim 4, is characterized in that, according to the content of field relevant with null field in described POI normal data, obtains the content of null field, and the content of obtaining is added in described null field, specifically comprises:
If content is address field or longitude and latitude field for sky, adopt contrary geocoding algorithm to obtain address according to the latitude and longitude coordinates in latitude and longitude coordinates field, and the address obtaining is added in the address field of described POI normal data, or adopt geocoding algorithm according to the address in address field, obtain latitude and longitude coordinates, and the latitude and longitude coordinates of obtaining is added in the latitude and longitude coordinates field of described POI normal data;
And/or,
If content is classification field for sky, according to the name field in described POI normal data, judge the classification of described POI, and obtain code corresponding to described classification, the code obtaining is added in the classification field of described POI normal data.
6. method according to claim 4, is characterized in that, described POI normal data comprises Back ground Information field, and the POI data that described POI normal data is mated with it are carried out fusion treatment, specifically comprise:
Obtain the source of the corresponding field in the Back ground Information field of the POI data of the source of each field in the Back ground Information field of POI normal data mating with it, inconsistent if originate, from the corresponding relation of the priority in preset field and source, obtain the priority in source of this field of POI normal data and the priority in the source of this field of described POI data, the content of the high field of priority is defined as to the content of corresponding field in the basic field of the POI data that fusion treatment obtains.
7. method according to claim 6, is characterized in that, described POI normal data also comprises depth information field, and the POI data that described POI normal data is mated with it are carried out fusion treatment, also comprise:
The content of the corresponding field in the depth information field of the POI data that the content of each field in the depth information field of described POI normal data is mated with it merges processing, will merge process the content obtaining and be defined as the content of the corresponding field in the depth information field of the POI data that fusion treatment obtains.
8. method according to claim 6, is characterized in that, the POI data in preset POI database, and coupling and described POI normal data are described the POI data of same POI, specifically comprise:
Calculate the similarity of the Back ground Information field of described POI normal data and the Back ground Information field of each the POI data in described POI database;
When the similarity calculating is all less than preset similarity threshold, determine that coupling is less than describing the POI data of same POI with described POI normal data;
When at least one similarity calculating is more than or equal to described similarity threshold, corresponding POI data maximum in similarity are defined as describing with described POI normal data the POI data of same POI.
9. method according to claim 1, is characterized in that, described in obtain POI raw data, be specially: periodically or from each source, obtain POI raw data termly;
After getting POI raw data, also comprise:
The POI raw data that this is obtained and the front POI raw data of once obtaining from each source compare, and the status indication of the POI raw data of this and the previous time being obtained according to comparative result arranges;
Extract the status indication of this POI raw data of obtaining, when the status indication of described POI raw data is newly-increased mark or modification mark, carry out the corresponding field in the described source according to POI raw data rule is set, described POI raw data is processed, obtained POI normal data step.
10. method according to claim 9, is characterized in that, the status indication of the POI raw data of this and the previous time being obtained according to comparative result arranges, and specifically comprises:
Each that obtain for this POI raw data, carries out following steps: if in the POI raw data that this POI raw data of obtaining is once obtained before not being included in, the status indication of this POI raw data of obtaining is set to newly-increased mark; If the POI raw data that this obtains is included in the POI raw data of obtaining for last time and field has renewal, the status indication of this POI raw data of obtaining is set to revise mark, if field is not upgraded, the status indication of the POI raw data of this not being obtained is processed;
If the POI raw data of once obtaining front is not included in this POI raw data of obtaining, and the status indication of the front POI raw data of once obtaining is set to delete flag.
11. methods according to claim 10, is characterized in that, after obtaining POI normal data, also comprise:
It is consistent that the status indication of the POI normal data that this obtains is set to the status indication of the POI raw data corresponding with it;
The status indication that this is obtained adds to for storing the storage space of POI normal data and POI raw data for increasing the POI normal data of mark newly;
And the status indication obtaining with this is that the POI normal data of revising mark is replaced POI normal data corresponding in described storage space;
And, will in storage space, be revised as delete flag with front once status indication that obtain and the corresponding POI normal data of POI raw data that status indication is delete flag.
12. methods according to claim 11, it is characterized in that, when the status indication of this POI normal data obtaining is for revising mark, and in preset POI database, can mate and when described POI normal data describes the POI data of same POI, method also comprises:
Judgement before with the described POI normal data POI data that the match is successful being whether once with the described POI normal data POI data that the match is successful;
If not, front in described storage space once mated to other POI normal datas that same POI data and status indication are non-delete mark with described POI normal data, mate with the POI data in described POI database respectively, and when matching POI data, the POI data that execution is mated with it described other POI normal datas are carried out fusion treatment, the step of the POI data of mating described in the POI Data Update obtaining by fusion treatment.
13. 1 kinds of devices that generate POI data, is characterized in that, comprising:
Raw data acquiring unit, for obtaining POI raw data;
Data generating unit, for rule being set according to the corresponding field in the source of POI raw data, processes described POI raw data, obtains POI normal data;
The first matching unit, for the POI data of the POI database preset, coupling is described the POI data of same POI with described POI normal data, if mate less than triggering the first storage unit, if match trigger data integrated unit;
The first storage unit, for being added into described POI database by described POI normal data;
Data fusion unit, carries out fusion treatment for the POI data that described POI normal data is mated with it, the POI data of mating described in the POI Data Update obtaining by fusion treatment.
14. devices according to claim 13, is characterized in that, device also comprises:
Source acquiring unit, for after described raw data acquiring unit obtains POI raw data, the source that obtains POI raw data;
Field arranges rule searching unit, for the POI Data Source prestoring and source data field, regular corresponding relation is set, and the field of searching the source correspondence of described POI raw data arranges rule;
Described data generating unit, specifically comprises:
Field contents extracts subelement, for the field of the source correspondence according to described POI raw data, rule is set, and extracts the content of respective field from described POI raw data;
Data generate subelement, for field contents being extracted to the content of the field that subelement extracts, according to POI database POI data layout, are organized into POI normal data.
15. devices according to claim 14, is characterized in that, described device also comprises:
The first judging unit, for judging whether the content that described field contents extraction subelement extracts field does not comprise address and latitude and longitude coordinates, if determine that described POI raw data is invalid data, abandon described POI raw data, trigger data generates subelement if not.
16. devices according to claim 15, is characterized in that, device also comprises:
The second judging unit, for after described data generation subelement obtains POI normal data, judges that whether described POI normal data exists content is empty field, if existence, trigger fields supplementary units;
Field supplementary units, according to being the content of the relevant field of empty field with content in described POI normal data, obtaining content and is the content of empty field, and the content getting is added in the corresponding field of described POI normal data.
17. devices according to claim 16, is characterized in that, described field supplementary units, specifically for:
If content is address field or longitude and latitude field for sky, adopt contrary geocoding algorithm to obtain address according to the latitude and longitude coordinates in latitude and longitude coordinates field, and the address obtaining added in the address field of described POI normal data or adopt geocoding algorithm according to the address in address field, obtain latitude and longitude coordinates, and the latitude and longitude coordinates of obtaining is added in the latitude and longitude coordinates field of described POI normal data;
And/or,
If content is classification field for sky, according to the name field in described POI normal data, judge the classification of described POI, and obtain code corresponding to described classification, the code obtaining is added in the classification field of described POI normal data.
18. devices according to claim 16, is characterized in that, described POI normal data comprises Back ground Information field, and the POI data that described data fusion unit mates with it described POI normal data are carried out fusion treatment, specifically for:
Obtain the source of the corresponding field in the Back ground Information field of the POI data of the source of each field in the Back ground Information field of POI normal data mating with it, inconsistent if originate, from the corresponding relation of the priority in preset field and source, obtain the priority in source of this field of POI normal data and the priority in the source of this field of described POI data, the content of the high field of priority is defined as to the content of corresponding field in the basic field of the POI data that fusion treatment obtains.
19. devices according to claim 18, is characterized in that, described POI normal data also comprises depth information field, and the POI data that described data fusion unit mates with it described POI normal data are carried out fusion treatment, are also further used for:
The content of the corresponding field in the depth information field of the POI data that the content of each field in the depth information field of described POI normal data is mated with it merges processing, will merge process the content obtaining and be defined as the content of the corresponding field in the depth information field of the POI data that fusion treatment obtains.
20. devices according to claim 19, is characterized in that, described the first matching unit, specifically for:
Calculate the similarity of the Back ground Information field of described POI normal data and the Back ground Information field of each the POI data in described POI database;
When the similarity calculating is all less than preset similarity threshold, determine that coupling is less than describing the POI data of same POI with described POI normal data;
When at least one similarity calculating is more than or equal to described similarity threshold, corresponding POI data maximum in similarity are defined as describing with described POI normal data the POI data of same POI.
21. devices according to claim 13, is characterized in that, described device also comprises the first status indication setting unit and status indication acquiring unit;
Described POI raw data acquiring unit, is specifically applied to: periodically or from each source, obtain POI raw data termly;
The first status indication setting unit, for this POI raw data of obtaining of described POI raw data acquiring unit and the front POI raw data of once obtaining from each source are compared, the status indication of the POI raw data of this and the previous time being obtained according to comparative result arranges;
Status indication acquiring unit, for extracting the status indication of this POI raw data of obtaining, when the status indication of described POI raw data is newly-increased mark or modification mark, triggers described data generating unit.
22. devices according to claim 21, is characterized in that, the status indication of the POI raw data that described the first status indication setting unit is obtained this and the previous time according to comparative result arranges, specifically for:
Each that obtain for this POI raw data, carries out following steps: if in the POI raw data that this POI raw data of obtaining is once obtained before not being included in, the status indication of this POI raw data of obtaining is set to newly-increased mark; If the POI raw data that this obtains is included in the POI raw data of obtaining for last time and field has renewal, the status indication of this POI raw data of obtaining is set to revise mark, if field is not upgraded, the status indication of the POI raw data of this not being obtained is processed;
If the POI raw data of once obtaining front is not included in this POI raw data of obtaining, and the status indication of the front POI raw data of once obtaining is set to delete flag.
23. devices according to claim 22, is characterized in that, also comprise:
The second status indication setting unit, for after described data generating unit obtains POI normal data, it is consistent that the status indication of the POI normal data that this obtains is set to the status indication of the POI raw data corresponding with it;
The second storage unit, adds to for storing the storage space of POI normal data and POI raw data for increasing the POI normal data of mark newly for the status indication that this is obtained;
Data updating unit is that the POI normal data of revising mark is replaced the POI normal data that described storage space is corresponding for the status indication obtaining with this; And, will in storage space, be revised as delete flag with front once status indication that obtain and the corresponding POI normal data of POI raw data that status indication is delete flag.
24. devices according to claim 23, it is characterized in that, when the status indication of this POI normal data obtaining is for revising mark, and in preset POI database, can mate while describing the POI data of same POI with described POI normal data, described device also comprises the 3rd judging unit and the second matching unit, wherein:
The 3rd judging unit, for judge with the described POI normal data POI data that the match is successful be whether before once with the described POI normal data POI data that the match is successful, trigger if not the second matching unit;
The second matching unit, for described storage space front once mated to other POI normal datas that same POI data and status indication are non-delete mark with described POI normal data, mate with the POI data in described POI database respectively, and when matching POI data trigger data integrated unit;
Data Fusion unit is further used for, and the POI data that described other POI normal datas are mated with it are carried out fusion treatment, the POI data of mating described in the POI Data Update obtaining by fusion treatment.
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