CN103218375A - POI (Point of Interest) information supplementing method and device - Google Patents
POI (Point of Interest) information supplementing method and device Download PDFInfo
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- CN103218375A CN103218375A CN2012100199726A CN201210019972A CN103218375A CN 103218375 A CN103218375 A CN 103218375A CN 2012100199726 A CN2012100199726 A CN 2012100199726A CN 201210019972 A CN201210019972 A CN 201210019972A CN 103218375 A CN103218375 A CN 103218375A
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Abstract
The invention provides a POI (Point of Interest) information supplementing method and a POI information supplementing device. The method comprises the following steps of acquiring a to-be-processed POI set; acquiring a first to-be-processed POI set which meets a first condition, a second to-be-processed POI set which meets a second condition and a third to-be-processed POI set which meets a third condition from the POI set; acquiring first-class supplementing information from a network through a first map processing engine according to the first to-be-processed POI set; acquiring second-class supplementing information from the network through a second map processing engine according to the second to-be-processed POI set; and acquiring third-class supplementing information from the network through a third map processing engine according to the third to-be-processed POI set. According to the projects of the POI information supplementing method and the POI information supplementing device, workers can be effectively guided to work, so that aims of improving working efficiency and POI data quality can be achieved.
Description
Technical field
The present invention relates to the data processing field of electronic map, a kind of POI compensation process and device are particularly related to.
Background technology
In electronic map data production process at this stage, for POI (point of interest) information of field data acquisition, it is essentially all that operating personnel passes through phone confirmation, for the POI of phone confirmation, it is essentially all that operating personnel passes through phone confirmation, for the POI without phone information, then internet is gone to search.The update mode of this traditional artificial acquisition POI, has been difficult the demand for meeting extensive geographic information data production.
The content of the invention
The technical problem to be solved in the present invention is to provide a kind of POI compensation process and device, solve in map datum production process, the POI data of field data acquisition is imperfect, and need to expend the problem of substantial amounts of workload audits POI, the production efficiency of data is greatly improved, is that POI data quickly updates offer basic basis.
In order to solve the above technical problems, embodiments of the invention provide a kind of POI compensation process, including:
Obtaining needs point of interest POI set to be processed;
From POI set, obtain and meet the first pending POI set of first condition, meet the second pending POI set of second condition and meet the 3rd pending POI set of third condition;
According to the described first pending POI set, first kind side information is obtained from network by the first maps processing engine;
According to the described second pending POI set, Equations of The Second Kind side information is obtained from network by the second maps processing engine;
According to the described 3rd pending POI set, the 3rd class side information is obtained from network by the 3rd maps processing engine.
Wherein, the first condition belongs to general POI for POI;The second condition is:POI belongs to a certain type of POI;The third condition is:POI belongs to the POI of a determination brand styles.
Wherein, described to be gathered according to the described first pending POI, the step of first kind side information is obtained from network by the first maps processing engine includes:
Determine the POI keywords of a POI in the described first pending POI set;
According to the POI keywords, using a rule searching, the searching keyword of the POI is obtained;
The title of the searching keyword comprising the POI is obtained by the first maps processing engine;
The title is divided using a division rule, at least one Feature Words is obtained;
Similarity-rough set is carried out to each Feature Words in the POI keywords and at least one described Feature Words, if the similarity of the POI keywords and the Feature Words is more than a predetermined threshold value, then from the corresponding webpage of the title, the first kind side information of the POI is obtained, the first kind side information until obtaining all POI in the described first pending POI set.
Wherein, from the corresponding webpage of the title, obtaining the first kind side information of the POI includes:
From the corresponding webpage of the title, a plurality of relevant information of the POI is obtained;
A plurality of relevant information to the POI is integrated, and obtains the record information of the POI;
The record information of the POI is matched with the POI keywords, if the match is successful, using the record information of the POI as the POI first kind side information.
Wherein, the rule searching includes, and the searching keyword of the POI is selected in the following order:
If 1) address information of the POI is not sky, the POI searching keywords are the title and the address information of the POI;
If 2) phone information of the POI is not sky, title and the phone information that the POI searching keywords are the POI;
If 3) the administrative area information of the POI is not sky, the searching keyword of the POI is the title and the administrative area information of the POI;
4) name of the POI is referred to as to the searching keyword of the POI;
5) searching keyword of the POI is sky.
Wherein, the division rule includes:
According to the separator included in the title, the title is divided into multiple Feature Words;
Selection includes a separation mark from the multiple Feature Words and word length is less than the word of Second Threshold, is used as the Feature Words that similarity-rough set is carried out with the POI keywords.
Wherein, each Feature Words progress similarity-rough set to the POI keywords and at least one described Feature Words includes:
According to the POI keywords and the editing distance of at least one Feature Words, the similarity of the POI keywords and at least one Feature Words is obtained.
Wherein, described to be gathered according to the described second pending POI, the step of Equations of The Second Kind side information is obtained from network by the second maps processing engine includes:
Determine the urban information where the searching keyword and the POI of POI records in the described second pending POI set;
The set of records ends for including the searching keyword is obtained by the second maps processing engine;
Each record in the set of records ends is matched with each POI records in the described second pending POI set, if the match is successful, then from recording in corresponding webpage in the set of records ends, the Equations of The Second Kind side information of the POI is obtained, the Equations of The Second Kind side information until obtaining all POI in the described second pending POI set.
Wherein, described to be gathered according to the described 3rd pending POI, the step of the 3rd class side information is obtained from network by the 3rd maps processing engine includes:
By the 3rd maps processing engine, recorded from a POI in the described 3rd pending POI set in corresponding webpage, obtain the relevant set of information of the POI;
In the described 3rd pending POI set, if being recorded in the presence of the POI matched with the POI records in the relevant set of information of the POI;
Then using the relevant set of information of the POI as the 3rd class side information of the POI in the described 3rd pending POI set, the 3rd class side information until obtaining all POI in the described 3rd pending POI set.
Embodiments of the invention also provide a kind of POI supplementary device, including:
First acquisition module, point of interest POI set to be processed is needed for obtaining;
Second acquisition module, the first pending POI set that first condition is met for from POI set, obtaining, the second pending POI set for meeting second condition and the 3rd pending POI set for meeting third condition;
3rd acquisition module, for gathering according to the described first pending POI, first kind side information is obtained by the first maps processing engine from network;
4th acquisition module, for gathering according to the described second pending POI, Equations of The Second Kind side information is obtained by the second maps processing engine from network;
5th acquisition module, for gathering according to the described 3rd pending POI, the 3rd class side information is obtained by the 3rd maps processing engine from network.
The above-mentioned technical proposal of the present invention has the beneficial effect that:
In such scheme, the first pending POI that first condition is met by the way that need point of interest POI set to be processed is divided into gathers, meet the second pending POI set of second condition and meet the 3rd pending POI set of third condition, pass through the automatic first kind side information that the first pending POI set is obtained from internet of the first maps processing engine respectively again, pass through the automatic Equations of The Second Kind side information that the second pending POI set is obtained from internet of the second maps processing engine, and the 3rd class side information of the 3rd pending POI set is obtained from internet by the 3rd maps processing engine;These POI side informations of acquisition can be compared with Back ground Information, submit to system, treat manual examination and verification, drastically increase data production efficiency, greatly save human cost, this data acquiring mode is one in technology and data producer face, historic quantum jump and innovation for traditional data production model.
Brief description of the drawings
Fig. 1 is the schematic flow sheet of embodiments of the invention POI compensation process;
During Fig. 2 is flow shown in Fig. 1, step 13 implements flow chart;
During Fig. 3 is flow shown in Fig. 1, step 14 implements flow chart;
During Fig. 4 is flow shown in Fig. 1, step 15 implements flow chart;
Fig. 5 is the structural representation of embodiments of the invention POI supplementary device.
Embodiment
To make the technical problem to be solved in the present invention, technical scheme and advantage clearer, it is described in detail below in conjunction with the accompanying drawings and the specific embodiments.
As shown in figure 1, embodiments of the invention provide a kind of POI compensation process, including:
Step 11, obtaining needs point of interest POI set to be processed;
Step 12, from POI set, obtain and meet the first pending POI set of first condition, meet the second pending POI set of second condition and meet the 3rd pending POI set of third condition;
Step 13, gathered according to the described first pending POI, first kind side information is obtained from network by the first maps processing engine;
Step 14, gathered according to the described second pending POI, Equations of The Second Kind side information is obtained from network by the second maps processing engine;
Step 15, gathered according to the described 3rd pending POI, the 3rd class side information is obtained from network by the 3rd maps processing engine.
The first pending POI that the case study on implementation meets first condition by the way that need point of interest POI set to be processed is divided into gathers, meet the second pending POI set of second condition and meet the 3rd pending POI set of third condition, pass through the automatic first kind side information that the first pending POI set is obtained from internet of the first maps processing engine respectively again, pass through the automatic Equations of The Second Kind side information that the second pending POI set is obtained from internet of the second maps processing engine, and the 3rd class side information of the 3rd pending POI set is obtained from internet by the 3rd maps processing engine;These POI side informations of acquisition can be compared with Back ground Information, submit to system, treat manual examination and verification, drastically increase data production efficiency, greatly save human cost, this data acquiring mode is one in technology and data producer face, historic quantum jump and innovation for traditional data production model.
Wherein, the first condition belongs to general POI for POI, for example:Facility, bus station etc.;The second condition is:POI belongs to a certain type of POI, for example:Food and drink, lodging, bank, gas station etc.;The third condition is:POI belongs to the POI of a determination brand styles, for example:IKEA, Carrefour, KFC etc..
In one embodiment of this invention, above-mentioned steps 13 can specifically include:
Step 131, the POI keywords of a POI in the described first pending POI set are determined;
Step 132, according to the POI keywords, using a rule searching, the searching keyword of the POI is obtained, the rule searching includes, and the searching keyword of the POI is selected in the following order:If 1) address information of the POI is not sky, the POI searching keywords are the title and the address information of the POI;If 2) phone information of the POI is not sky, title and the phone information that the POI searching keywords are the POI;If 3) the administrative area information of the POI is not sky, the searching keyword of the POI is the title and the administrative area information of the POI;4) name of the POI is referred to as to the searching keyword of the POI;5) searching keyword of the POI is sky;
Step 133, the title of the searching keyword comprising the POI is obtained by the first maps processing engine;
Step 134, the title is divided using a division rule, obtains at least one Feature Words, the division rule includes:According to the separator included in the title, the title is divided into multiple Feature Words;Selection includes a separation mark from the multiple Feature Words and word length is less than the word of Second Threshold, is used as the Feature Words that similarity-rough set is carried out with the POI keywords;
Step 135, similarity-rough set is carried out to each Feature Words in the POI keywords and at least one described Feature Words, if the similarity of the POI keywords and the Feature Words is more than a predetermined threshold value, then from the corresponding webpage of the title, the first kind side information of the POI is obtained, the first kind side information until obtaining all POI in the described first pending POI set;
Wherein, carrying out similarity-rough set to the POI keywords and each Feature Words at least one described Feature Words includes:According to the POI keywords and the editing distance of at least one Feature Words, the similarity of the POI keywords and at least one Feature Words is obtained.
Specifically, in above-mentioned steps 135, from the corresponding webpage of the title, obtaining the first kind side information of the POI includes:
Step 1351, from the corresponding webpage of the title, a plurality of relevant information of the POI is obtained;
Step 1352, a plurality of relevant information to the POI is integrated, and obtains the record information of the POI;
Step 1353, the record information of the POI is matched with the POI keywords, if the match is successful, using the record information of the POI as the POI first kind side information.
Specifically, as shown in Fig. 2 above-mentioned flow to implement process as follows:
1st, the entitled keyword A for the POI that the first pending POI collection is combined into POI_A, setting POI_A is set, searching keyword is chosen by rule searching:Rule searching includes:Searching keyword chooses (1) if POI address is not sky by the following order, and title+address is keyword;(2) if POI phone is not sky, title+phone is keyword;(3) if POI administrative division is not sky, title+administrative division is keyword;(4) it is sky that POI, which are referred to as keyword (5) keyword,;
2nd, by searching keyword, scan in a search engine, and obtain ' title ', ' summary ', ' connection ' of n before returning result (n=50) bar;
3rd, cutting is carried out to title using division rule, obtain title feature word B, keyword A and Feature Words B similarity is obtained using formula 1, when similarity is more than the first threshold values, POI relevant informations are obtained in the page for then entering title correspondence connection, and the POI relevant informations are stored in an information aggregate A;Division rule includes:Using by special character (such as:', ' '!’‘ ’‘!' etc.) cutting acquisition word phrase is carried out to " title ", therefrom selection includes special marking (such as<em>,</em>) and word length is used as feature B less than the word of the second threshold values.Wherein, special marking does Special display for the word related to the searching keyword of input, Second Threshold for input word certain multiple (such as:1.5 times) and no more than reservation threshold is (such as:10), while formula 1 includes:Similarity can be drawn by keyword A and Feature Words B editing distance;
4th, merged for the information in set A, POI_B is drawn, if the record of POI-B records and POI in POI_A matches, then POI_B is POI_A Network Capture data, i.e. first kind side information, otherwise chooses other searching keywords by rule searching and is judged.
In another embodiment of the invention, above-mentioned steps 14 can include:
Step 141, the urban information where the searching keyword and the POI of POI records in the described second pending POI set is determined;
Step 142, the set of records ends for including the searching keyword is obtained by the second maps processing engine;
Step 143, each record in the set of records ends is matched with each POI records in the described second pending POI set, if the match is successful, then from recording in corresponding webpage in the set of records ends, the Equations of The Second Kind side information of the POI is obtained, the Equations of The Second Kind side information until obtaining all POI in the described second pending POI set.
Specifically, as shown in figure 3, above-mentioned flow to implement process as follows:
1) the pending second pending POI set is obtained from POI lists, POI_A is set to;
2) name of the POI by is referred to as searching keyword, using the city where POI_A ' as city alternative condition, is inquired about in the second maps processing engine, obtains returning result, and therefrom obtain the relevant set of information of the POI in POI_A ' set;
3) searching loop POI relevant set of information, sets the current information that reads as POI_B ', judges whether POI_A ' is similar to POI_B ', the specific page is entered if similar and obtains relevant information POI_C;
4) POI_C is then as POI_A ' network acquisition information, i.e. Equations of The Second Kind side information.
In another embodiment of the invention, above-mentioned steps 15 can include:
Step 151, by the 3rd maps processing engine, recorded from a POI in the described 3rd pending POI set in corresponding webpage, obtain the relevant set of information of the POI;
Step 152, in the described 3rd pending POI set, if being recorded in the presence of the POI matched with the POI records in the relevant set of information of the POI;
Step 153, then using the relevant set of information of the POI as the 3rd class side information of the POI in the described 3rd pending POI set, the 3rd class side information until obtaining all POI in the described 3rd pending POI set.
Specifically, as shown in figure 4, above-mentioned flow to implement process as follows:
In the corresponding official websites of specific POI, POI relevant informations are obtained from specifically webpage, set A is used as
The data in set A are read in circulation, are set to POI_A ", and " in pending set C ", inquire about and POI_A " identical POI_B ", if it is present, Network Capture data of the POI_A " as POI_B ", i.e. the 3rd class side information in pending.
The above embodiment of the present invention passes through to needing POI set to be processed to carry out taxonomic revision, obtain the first pending POI set, the second pending POI set and the 3rd pending POI set, and carry out information completion using the POI in utility engines (i.e. the first maps processing engine) POI set pending to first, information completion is carried out using particular engine (i.e. the second maps processing engine), information completion is carried out using special webpage, audit Network Capture POI, i.e.,:The POI of Network Capture is compared with basic POI, the POI of different or completion submits to system, treat manual examination and verification, so as to solve in map datum production process, the POI data of field data acquisition is imperfect, and need to expend substantial amounts of workload examination & verification POI this problem, the production efficiency of map datum is greatly improved, is that POI data quickly updates offer basic basis.
As shown in figure 5, embodiments of the invention also provide a kind of POI supplementary device, including:
First acquisition module, point of interest POI set to be processed is needed for obtaining;
Second acquisition module, the first pending POI set that first condition is met for from POI set, obtaining, the second pending POI set for meeting second condition and the 3rd pending POI set for meeting third condition;
3rd acquisition module, for gathering according to the described first pending POI, first kind side information is obtained by the first maps processing engine from network;
4th acquisition module, for gathering according to the described second pending POI, Equations of The Second Kind side information is obtained by the second maps processing engine from network;
5th acquisition module, for gathering according to the described 3rd pending POI, the 3rd class side information is obtained by the 3rd maps processing engine from network.
Wherein, first acquisition module implements process embodiment as shown in Figure 2,3rd acquisition module implements process embodiment as shown in Figure 3,4th acquisition module implements process embodiment as shown in Figure 4, the device is the device corresponding with above method embodiment, therefore, and all implementations in above method embodiment are suitable for the device embodiment, also identical technique effect can be reached, be will not be repeated here.
The device can obtain the information needed for POI automatically, while the automatically difference of detection network POI and field data acquisition POI, submits to system, treat that operating personnel audits, so as to effectively instruct operating personnel's operation, raising operating efficiency is reached, quality of data purpose is improved.
The above is the preferred embodiment of the present invention; it should be pointed out that for those skilled in the art, on the premise of principle of the present invention is not departed from; some improvements and modifications can also be made, these improvements and modifications also should be regarded as protection scope of the present invention.
Claims (10)
1. a kind of POI compensation process, it is characterised in that including:
Obtaining needs point of interest POI set to be processed;
From POI set, obtain and meet the first pending POI set of first condition, meet the second pending POI set of second condition and meet the 3rd pending POI set of third condition;
According to the described first pending POI set, first kind side information is obtained from network by the first maps processing engine;
According to the described second pending POI set, Equations of The Second Kind side information is obtained from network by the second maps processing engine;
According to the described 3rd pending POI set, the 3rd class side information is obtained from network by the 3rd maps processing engine.
2. POI compensation process according to claim 1, it is characterised in that the first condition belongs to general POI for POI;The second condition is:POI belongs to a certain type of POI;The third condition is:POI belongs to the POI of a determination brand styles.
3. POI compensation process according to claim 1, it is characterised in that gathered according to the described first pending POI, the step of first kind side information is obtained from network by the first maps processing engine includes:
Determine the POI keywords of a POI in the described first pending POI set;
According to the POI keywords, using a rule searching, the searching keyword of the POI is obtained;
The title of the searching keyword comprising the POI is obtained by the first maps processing engine;
The title is divided using a division rule, at least one Feature Words is obtained;
Similarity-rough set is carried out to each Feature Words in the POI keywords and at least one described Feature Words, if the similarity of the POI keywords and the Feature Words is more than a predetermined threshold value, then from the corresponding webpage of the title, the first kind side information of the POI is obtained, the first kind side information until obtaining all POI in the described first pending POI set.
4. POI compensation process according to claim 3, it is characterised in that from the corresponding webpage of the title, obtaining the first kind side information of the POI includes:
From the corresponding webpage of the title, a plurality of relevant information of the POI is obtained;
A plurality of relevant information to the POI is integrated, and obtains the record information of the POI;
The record information of the POI is matched with the POI keywords, if the match is successful, using the record information of the POI as the POI first kind side information.
5. POI compensation process according to claim 3, it is characterised in that the rule searching includes, selects the searching keyword of the POI in the following order:
If 1) address information of the POI is not sky, the POI searching keywords are the title and the address information of the POI;
If 2) phone information of the POI is not sky, title and the phone information that the POI searching keywords are the POI;
If 3) the administrative area information of the POI is not sky, the searching keyword of the POI is the title and the administrative area information of the POI;
4) name of the POI is referred to as to the searching keyword of the POI;
5) searching keyword of the POI is sky.
6. POI compensation process according to claim 3, it is characterised in that the division rule includes:
According to the separator included in the title, the title is divided into multiple Feature Words;
Selection includes a separation mark from the multiple Feature Words and word length is less than the word of Second Threshold, is used as the Feature Words that similarity-rough set is carried out with the POI keywords.
7. POI compensation process according to claim 3, it is characterised in that each Feature Words progress similarity-rough set to the POI keywords and at least one described Feature Words includes:
According to the POI keywords and the editing distance of at least one Feature Words, the similarity of the POI keywords and at least one Feature Words is obtained.
8. POI compensation process according to claim 1, it is characterised in that described to be gathered according to the described second pending POI, the step of Equations of The Second Kind side information is obtained from network by the second maps processing engine includes:
Determine the urban information where the searching keyword and the POI of POI records in the described second pending POI set;
The set of records ends for including the searching keyword is obtained by the second maps processing engine;
Each record in the set of records ends is matched with each POI records in the described second pending POI set, if the match is successful, then from recording in corresponding webpage in the set of records ends, the Equations of The Second Kind side information of the POI is obtained, the Equations of The Second Kind side information until obtaining all POI in the described second pending POI set.
9. POI compensation process according to claim 1, it is characterised in that described to be gathered according to the described 3rd pending POI, the step of the 3rd class side information is obtained from network by the 3rd maps processing engine includes:
By the 3rd maps processing engine, recorded from a POI in the described 3rd pending POI set in corresponding webpage, obtain the relevant set of information of the POI;
In the described 3rd pending POI set, if being recorded in the presence of the POI matched with the POI records in the relevant set of information of the POI;
Then using the relevant set of information of the POI as the 3rd class side information of the POI in the described 3rd pending POI set, the 3rd class side information until obtaining all POI in the described 3rd pending POI set.
10. a kind of POI supplementary device, it is characterised in that including:
First acquisition module, point of interest POI set to be processed is needed for obtaining;
Second acquisition module, the first pending POI set that first condition is met for from POI set, obtaining, the second pending POI set for meeting second condition and the 3rd pending POI set for meeting third condition;
3rd acquisition module, for gathering according to the described first pending POI, first kind side information is obtained by the first maps processing engine from network;
4th acquisition module, for gathering according to the described second pending POI, Equations of The Second Kind side information is obtained by the second maps processing engine from network;
5th acquisition module, for gathering according to the described 3rd pending POI, the 3rd class side information is obtained by the 3rd maps processing engine from network.
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