CN107463559A - A kind of business location information obtains analysis and storage system - Google Patents
A kind of business location information obtains analysis and storage system Download PDFInfo
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- CN107463559A CN107463559A CN201610387565.9A CN201610387565A CN107463559A CN 107463559 A CN107463559 A CN 107463559A CN 201610387565 A CN201610387565 A CN 201610387565A CN 107463559 A CN107463559 A CN 107463559A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/10—File systems; File servers
- G06F16/13—File access structures, e.g. distributed indices
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/10—File systems; File servers
- G06F16/17—Details of further file system functions
- G06F16/172—Caching, prefetching or hoarding of files
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/10—File systems; File servers
- G06F16/18—File system types
- G06F16/182—Distributed file systems
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9537—Spatial or temporal dependent retrieval, e.g. spatiotemporal queries
Abstract
The present invention relates to internet information process field, more particularly to a kind of business location information obtains analysis and storage system.The system includes Geography of enterprise data obtaining module, Geography of enterprise information storage module and index file module；Present system carries out associated verification by calling the data-interface of common platform to get the geography information of enterprise by the information obtained at least two map platforms, to obtain more accurate geographical latitude and longitude information；The information got is stored in distributed file system；And corresponding index file is established using ElasticSearch, excavated for Geography of enterprise locational analysis, value and hiding region, the analysis of geographical commercial value and excavation provide data acquisition, storage and the technical support of search.
Description
Technical field
The present invention relates to internet information process field, more particularly to a kind of business location information obtains analysis and storage system
System.
Background technology
Social progress using Information Technology Development as representative, the accumulation of data message are increased with series speed, network technology
Development promote the propagation and accumulation of information, network information data cover society, economy, politics, industry, enterprise, tissue,
The every aspect of individual activity, data volume greatly and value density it is low be to perplex the difficulty that such mass data information excavating utilizes
Topic, inside the data of magnanimity, how accurately to obtain people care information turn into urgently solve the problems, such as, in huge city
In face of the demand of field, internet hunt and big data analyze the hot topic for turning into current the Internet, applications；Various search engines also meet the tendency of
And give birth to, wherein vertical search engine is the professional search engine for some industry, with respect to the information content of universal search engine
Greatly, the shortcomings of inquiry is inaccurate, depth is inadequate, vertical search passes through for a certain specific area, a certain specific crowd or a certain
The information and the related service that there are certain values that particular demands provide, there is the characteristics of " specialty ", " accurate ", " depth excavation ",
And there is industry color.But existing market is also more rarely seen for the vertical search of enterprise.
And company information is an important ring for data analysis；Have great importance in data analysis, because enterprise makees
For most important active agent in social economy, important role is play in economy, arrangement for company information and point
Analysis is it will be seen that the background of enterprise, the condition of production for sketching the contours of business activity, management state, personal information, investment situation, shareholder
Composition, enterprise qualification, asset size, assets growth pattern and abnormal conditions.These information are for monitoring enterprise development state
It is extremely important with enterprise business risk is taken precautions against, and geography information is considerable one in the information of enterprise
Ring, for region association, business development, the value excavation of enterprise in itself, and the territorial classification of macroeconomic, hiding ground
Domain, the analysis of geographical commercial value and excavation are all of great advantage.
Existing public geographic information map system, without the search of disclosed special searching enterprise and business connection
The specialized searches of platform, only hotel, restaurant, sight spot etc.；Large and complete universal search, the meaning dashed forward not out of absorbed enterprise search
Justice；The enterprise for not knowing name do not searched for more around centered on some position.So with reference to existing big data quantity
Company information, it is necessary need to the company analyzed for company information big data to establish special Geography of enterprise information system
Ask.
And such system is established, first have to do is exactly to gather business data, and it is efficient to establish business location information
Acquisition and storage system.
The content of the invention
It is an object of the invention to overcome the above-mentioned deficiency in the presence of prior art, there is provided a kind of business location information obtains
Take analysis and storage system.Geography of enterprise information is obtained by using enterprise's essential information；Built in the geography information of acquisition
Vertical appropriate storage model and interrogation model, basis is provided for the corporation information query based on geographical position.
In order to realize foregoing invention purpose, the invention provides following technical scheme：
A kind of business location information obtains analysis and storage system, the system include Geography of enterprise data obtaining module,
Geography of enterprise information storage module and index file module；
The Geography of enterprise data obtaining module obtains the geographical of enterprise according to enterprise's address invocation map platform interface and passed through
Latitude information, by being mutually authenticated and completion from the longitude and latitude degrees of data that at least two map platforms are got, finding out can
The higher latitude and longitude information of reliability is as geographical latitude and longitude information corresponding to enterprise；
The Geography of enterprise information storage module is used to store company information and the latitude and longitude information got；
The index file module establishes the index mapping format for including enterprise name, longitude and latitudinal fields；Will storage
Company information and corresponding latitude and longitude information in the Geography of enterprise information storage module are imported in index.
Further, the map platform includes：First map platform, the second map platform and, or the 3rd map platform.
Specifically, the data are mutually authenticated and completion, implemented below step is included：
(ST1) the first map platform interface is called, obtains the longitude data of enterprise first and the first latitude data；
(ST2) the second map platform interface is called, obtains the longitude data of enterprise second and the second latitude data；
(ST3) to inconsistent data according to each open platform return structure fraction sort, take confidence values fraction compared with
High；And according to the difference of map coordinates system between each open platform, corresponding value is calculated respectively.The data are mutually tested
Card and completion, it is applicable following rule condition：
If A, the longitude and latitude degrees of data longitude and latitude that is complete, and being got from the second map platform obtained from the first map platform
Degrees of data has missing, then selects the geographical latitude and longitude information of the first longitude data and the first latitude data as enterprise；
B, in the data message that selection is got from platform, credible higher corresponding latitude and longitude information is the longitude and latitude of enterprise
Data；
C, compare the first longitude data and the second longitude data, obtain difference data 1, compare the first latitude data and second
Latitude data, difference data 2 is obtained, if difference data 1 and difference data 2 in the threshold value of setting, may be selected the
The geographical longitude and latitude degrees of data of one longitude data, the first latitude data or the second longitude data, the second latitude data as enterprise.
As a preferred embodiment, the geography information memory module is HDFS distributed file systems.
As a preferred embodiment, the index file module establishes search index using ElasticSearch.
Realized as a preferred embodiment, the data are mutually authenticated with completion process by Mapreduce parallel processings.
As a preferred embodiment, the system includes implemented below step：
(1) enterprise name and corresponding address information are obtained by web crawlers；
(2) Geography of enterprise latitude and longitude information corresponding to being obtained according to enterprise's address information invocation map platform interface；
(3) enterprise name got, enterprise address and enterprise's longitude information, enterprise's latitude information are stored in HDFS points
In cloth file system；
(4) ElasticSearch indexed formats are created, the field of the index storage includes enterprise name, enterprise address
With enterprise longitude information, enterprise's latitude information；
(5) enterprise name, enterprise address and the enterprise's longitude information that store HDFS distributed file systems, enterprise's latitude
Information is imported among index, forms the Geography of enterprise information index file based on ElasticSearch.
Further, in the step (5), enterprise name, enterprise address and enterprise are read with Mapreduce cloud computings batch
Industry longitude information, enterprise's latitude information file, according to index mapping format every company information data：Enterprise name is corresponding
The name of index, the addr of the corresponding write-in index in enterprise address, the lon of the corresponding write-in index of Geography of enterprise information longitude are write,
The lat of the corresponding write-in index of Geography of enterprise information latitude.
Further, the system be loaded with above-mentioned business location information obtain analysis and store function computer,
Server or server cluster.
Compared with prior art, beneficial effects of the present invention：The present invention provide a kind of business location information obtain analysis and
Storage system, the system include Geography of enterprise data obtaining module, Geography of enterprise information storage module and index file module；
Present system calls Geography of enterprise corresponding to the interface acquisition of public data platform to pass through by the enterprise's address information obtained
Latitude information, by being mutually authenticated and completion from the longitude and latitude degrees of data that at least two map platforms are got, finding out can
The higher latitude and longitude information of reliability improves the knot that enterprise's latitude and longitude information gathers as geographical latitude and longitude information corresponding to enterprise
The accuracy of fruit；And the present invention by the company information got (including：Title, address, geographical latitude and longitude information) it is stored in
In distributed document clipping system, search is established using the ElasticSearch of suitable distributed full-text search on this basis
Index file, to provide data acquisition, data storage and the technology of data search base specifically for the vertical search of enterprise
Plinth, it disclosure satisfy that the needs for the Geography of enterprise information search for establishing hundred million number of levelss；Access and inquire about using web port for user
Company-related information is provided convenience.Present system carries out the acquisition of geography information and index construct specifically for enterprise,
It compensate in existing open map platform not specifically for the missing of Geography of enterprise information service；In Geography of enterprise position point
Analysis, inquiry, business development, value are excavated, and the territorial classification of macroeconomic, hiding region, point of geographical commercial value
Analysis and excavation have important use value.
Brief description of the drawings：
Fig. 1 is present system module relation diagram.
Fig. 2 is acquisition and the analysis process schematic of geographic information data of the present invention.
Fig. 3 realizes step schematic diagram for what business location information of the present invention acquisition, storage and index were established.
Fig. 4 is the implementation process diagram of present system embodiment 1.
Embodiment
With reference to test example and embodiment, the present invention is described in further detail.But this should not be understood
Following embodiment is only limitted to for the scope of the above-mentioned theme of the present invention, it is all that this is belonged to based on the technology that present invention is realized
The scope of invention.
The present invention provides a kind of business location information and obtains analysis and storage system.Obtained by using enterprise's essential information
Take Geography of enterprise information；And by being mutually authenticated and mutual completion from the data that at least two map platforms obtain, it is ensured that
The accuracy of longitude and latitude degrees of data, establishes appropriate storage model and interrogation model, for based on ground in the geography information of acquisition
The corporation information query for managing position provides basis.
In order to realize foregoing invention purpose, the invention provides following technical scheme：
A kind of business location information obtains analysis and storage system, and the system as shown in Figure 1 includes Geography of enterprise information
Acquisition module, Geography of enterprise information storage module and index file module；
The Geography of enterprise data obtaining module obtains the geographical of enterprise according to enterprise's address invocation map platform interface and passed through
Latitude information, by being mutually authenticated and completion from the longitude and latitude degrees of data that at least two map platforms are got, finding out can
The higher latitude and longitude information of reliability is as geographical latitude and longitude information corresponding to enterprise；
The Geography of enterprise information storage module is used to store company information and the latitude and longitude information got；
The index file module establishes the index mapping format for including enterprise name, longitude and latitudinal fields；Will storage
Company information and corresponding latitude and longitude information in the Geography of enterprise information storage module are imported in index.
Present system establishes the geography information acquisition and storage index specifically for enterprise, compensate for existing map platform
Lack the missing specifically for company information cartographic information service；And present system is obtained by least two map platforms
Data mutually confirm and Supplementing Data, the accuracy for getting geography information is ensure that, for the vertical search for enterprise
Provide the foundation.It is hidden for region association, business development, the value excavation of enterprise in itself, and the territorial classification of macroeconomic
The region of Tibetan, the analysis of geographical commercial value and excavation have great importance.
Further, the map platform includes：First map platform, the second map platform and, or the 3rd map platform.
Presently disclosed map datum platform is a lot, and the longitude and latitude for obtaining enterprise automatically on public data platform according to enterprise address is believed
Breath, rapid and convenient, cost are relatively low；Analyze and reprocess for data depth and create precondition using application.Only from one
There is the inaccurate risk of larger data in the data obtained on platform, by calling more platforms to obtain the ground of Target Enterprise
Latitude and longitude information is managed, and data acquisition then can be greatly improved with completion to be mutually authenticated by the data of more platforms
Quality, more accurate data source is provided for the data use in later stage.
Specifically, the data are mutually authenticated and completion, implemented below process as shown in Figure 2 is included：
(ST1) the first map platform interface is called, obtains the longitude data of enterprise first and the first latitude data；
(ST2) the second map platform interface is called, obtains the longitude data of enterprise second and the second latitude data；
(ST3) data are mutually authenticated and completion, are applicable following rule condition：
If A, the longitude and latitude degrees of data longitude and latitude that is complete, and being got from the second map platform obtained from the first map platform
Degrees of data has missing, then selects the geographical latitude and longitude information of the first longitude data and the first latitude data as enterprise；
B, in the data message that selection is got from platform, sorted according to confidence level, select credible higher corresponding warp
Latitude information is the longitude and latitude degrees of data of enterprise；
C, compare the first longitude data and the second longitude data, obtain difference data 1, compare the first latitude data and second
Latitude data, difference data 2 is obtained, if difference data 1 and difference data 2 in the threshold value of setting, may be selected the
The geographical longitude and latitude degrees of data of one longitude data, the first latitude data or the second longitude data, the second latitude data as enterprise.
Above-mentioned rule condition is applicable in order.
Further, the geography information memory module is HDFS distributed file systems.HDFS as Hadoop below
Distributed file system, there is Error Tolerance, be adapted to be deployed on cheap machine, operation and maintenance cost it is relatively low.Together
When HDFS be highly suitable for large-scale dataset；Mass data storage can be met to store pending data using HDFS,
The needs of high fault tolerance, file storage basis is provided for cloud computing and batch processing.
Further, the index file module establishes search index using ElasticSearch.
ElasticSearch is a search server based on Lucene, there is provided the full text of a distributed multi-user ability is searched
Index is held up, and based on RESTful web interfaces, facilitates user to pass through web interface to search for and read data.ElasticSearch
Designed in cloud computing, search performance is stable, reliably, quickly, disclosure satisfy that the needs searched in real time；It is easy to install,
It is easy to extend, cluster is established by expanding machinery, adapts to big data epoch data volume and increase growth parallel with machine amount integer
Requirement.
Further, present system includes implemented below step as shown in Figure 3：
(1) enterprise name and corresponding address information are obtained by web crawlers；And by the enterprise name got and
Corresponding address information is stored in HDFS distributed file systems.Comprising information source abundant extensively in internet, from interconnection
Relevant information is crawled in net as needed, and the information of acquisition is subjected to advanced treating, is the process of refinement and depth of information
Using the approach of offer.And it is data by the mass data storage gathered from internet in HDFS distributed file systems
Batch storage and reading provide premise.
(2) Geography of enterprise latitude and longitude information corresponding to being obtained according to enterprise's address information invocation map platform interface；
(3) enterprise name got, enterprise address and enterprise's longitude information, enterprise's latitude information are stored in HDFS points
In cloth file system；
(4) ElasticSearch indexed formats are created, the field of the index storage includes enterprise name, enterprise address
With enterprise longitude information, enterprise's latitude information；
(5) enterprise name, enterprise address and enterprise's longitude information, enterprise's latitude are read with Mapreduce cloud computings batch
Message file, according to index mapping format every company information data：The name of the corresponding write-in index of enterprise name, enterprise
The addr of the corresponding write-in index in address, the lon of the corresponding write-in index of Geography of enterprise information longitude, Geography of enterprise information latitude are corresponding
Write the lat of index.The big data of cloud computing platform handles framework such as MapReduce and Spark under Hadoop systems,
By by task automatic segmentation, being assigned to multiple node processings, point and autonomous mode, it is possible to achieve mass data it is parallel
Processing, greatly improve the treatment effeciency of data.
Further, the system be loaded with above-mentioned business location information obtain analysis and store function computer,
Server or server cluster.The computer, server or server cluster provide technology for the realization of above-mentioned function
Support.
Embodiment 1
Set and crawled to enterprise name and corresponding address information according to field from network, such as enterprise name is Chengdu
ABCD Science and Technology Ltd.s, address are：Chengdu Tianfu Avenue stage casing xx, the first map is called to put down according to enterprise's address information
Platform interface gets geographical latitude and longitude information corresponding to enterprise address：
{ " status ＂：0, ＂ result ＂：{ ＂ location ＂：{ ＂ lng ＂：105.07392899855 ＂ la ＂：
36.555138880016, " pr ecise ＂：1, ＂ confidence ＂：80, ＂ level ＂：＂ u5546 u52a1 u5927
U53a6 ＂ } } it can get confidence level from return information and be：80, longitude 105.07392899855, latitude is
36.555138880016。
Call the second map platform interface to get geographical latitude and longitude information corresponding to enterprise address to be：{ " status ＂：＂
1 ＂, ＂ info ＂：＂ OK ＂, ＂ infocode ＂：＂ 1000 ＂, ＂ count ＂：＂ 1 ＂, ＂ geocodes ＂：[{ ＂ ＂ formated_a
Ddress ＂：So-and-so square Building B ＂, ＂ province ＂ of ＂ Sichuan Province Chengdu Wu Hou District：＂ Sichuan Province, ＂ citycode ＂：＂ 028 ＂, ＂
City ＂：＂ Chengdu ＂, ＂ district ＂：＂ Wuhou Districts ＂, ＂ township ＂：[], ＂ ＂ neighborhood ＂：{ " name ＂：
[], ＂ ＂ type ＂：[] }, ＂ building ＂：{ " name ＂：[], ＂ type ＂：[] }, " adcode ＂：＂ 510107 ＂, ＂ street ＂：＂
Tianfu Avenue stage casing ＂, ＂ number ＂：＂ xx ＂, ＂ location ＂：＂ 104.067139,30.548830 ＂, ＂ level ＂：＂ doorplates
Number ＂ }] }.It can be got from above-mentioned return information：Confidence level is number, longitude 105.067139, and latitude is
36.548830。
The data that above-mentioned two platform is got are complete, then application rule B, according to the acquisition data of two platforms can
Reliability is ranked up, such as by the ＂ level ＂ of the second map platform：＂ numbers ＂, it is corresponding to be converted into " confidence level：
99 ", compared with " the confidence level obtained by the first map platform：80 " confidence level is higher, then selects the second map platform to get
Longitude be 105.067139, latitude is 36.548830 conducts：" in Chengdu ABCD Science and Technology Ltd.s, Chengdu Tianfu Avenue
Longitude and latitude data corresponding to section xx ".The latitude and longitude information got is stored in HDFS distributed file systems, above procedure
Complete acquisition and the storing process of latitude and longitude information.
Installation and deployment ElasticSearch, create ElasticSearch index mapping formats
A. the field that index will store as desired includes：Id (unique mark), enterprise name, enterprise
Address, enterprise's longitude, enterprise's latitude
B. it is according to the index mapped file addr.json contents for the json forms for needing to preserve above：
C. the mapped file prepared is submitted to establish indexed format to cluster by Resutful orders.
Mapreduce cloud computings import Geography of enterprise information and enter index, are read and stored with Mapreduce cloud computings batch
Company information file in HDFS distributed file systems, according to index mapping format every company information data：Enterprise
The name of the corresponding write-in index of industry title, the addr of the corresponding write-in index in enterprise address, Geography of enterprise information longitude is corresponding to be write
The lon of index, the lat of the corresponding write-in index of Geography of enterprise information latitude.Acquisition, the storage of above-mentioned data have built up index
Flow is as shown in Figure 4.
Raw data file：
ABCD Science and Technology Ltd.s Chengdu, Chengdu Tianfu Avenue stage casing xx
Get the enterprise document of latitude and longitude information：
ABCD Science and Technology Ltd.s Chengdu, Chengdu Tianfu Avenue stage casing xx
105.06713936.548830
The ElasticSearch file routine fragments of foundation are as follows：
The data storage of enterprise name, address, geography information is established by said process, and is established corresponding
Index, provided the foundation for related enterprise search.It can be seen that a simple examples are these are only to illustrate the acquisition of data
With the process of establishing of index, the magnanimity targets of millions or several hundred million grades actually is directed to carry out in big data processing
The operation and realization of said process, present system use the distributed memory system under cloud computing platform, meet magnanimity number
According to storage and the quick needs that read；And indexed format is established from ElasticSearch, ElasticSearch is built
Lithol draw it is quick, stably, suitable for extension；And HDFS distributed documents will be stored in using the Mapreduce under cloud computing framework
Among batch data in system reads index, processing speed is exceedingly fast, efficiency is notable, can by using ElasticSearch
To establish the needs of the Geography of enterprise information search of hundred million number of levelss, technology branch is provided to establish full dose Geography of enterprise information retrieval
Support.
Claims (10)
1. a kind of business location information obtains analysis and storage system, it is characterised in that the system includes Geography of enterprise information
Acquisition module, Geography of enterprise information storage module and index file module；
The Geography of enterprise data obtaining module obtains the geographical longitude and latitude of enterprise according to enterprise's address invocation map platform interface
Information, by being mutually authenticated and completion from the longitude and latitude degrees of data that at least two map platforms are got, find out confidence level
Higher latitude and longitude information is as geographical latitude and longitude information corresponding to enterprise；
The Geography of enterprise information storage module is used to store company information and the latitude and longitude information got；
The index file module establishes the index mapping format for including enterprise name, longitude and latitudinal fields；Institute will be stored in
State the company information in Geography of enterprise information storage module and corresponding latitude and longitude information is imported in index.
2. the system as claimed in claim 1, it is characterised in that the geography information memory module is HDFS distributed field systems
System.
3. the system as claimed in claim 1, it is characterised in that the index file module is built using ElasticSearch
Vertical search index.
4. the system as claimed in claim 1, it is characterised in that the map platform includes：First map platform, the second map
Platform and, or the 3rd map platform.
5. system as claimed in claim 4, it is characterised in that the data are mutually authenticated and completion, are walked comprising implemented below
Suddenly：
(ST1) the first map platform interface is called, obtains the longitude data of enterprise first and the first latitude data；
(ST2) the second map platform interface is called, obtains the longitude data of enterprise second and the second latitude data；
(ST3) data are mutually authenticated and completion, are applicable following rule condition：
If A, the longitude and latitude degrees of data longitude and latitude number of degrees that are complete, and being got from the second map platform obtained from the first map platform
According to there is missing, then the geographical latitude and longitude information of the first longitude data and the first latitude data as enterprise is selected；
B, in the data message that selection is got from platform, credible higher corresponding latitude and longitude information is the longitude and latitude number of degrees of enterprise
According to；
C, compare the first longitude data and the second longitude data, obtain difference data 1, compare the first latitude data and the second latitude
Data, difference data 2 is obtained, if difference data 1 and difference data 2 in the threshold value of setting, may be selected the first warp
The geographical longitude and latitude degrees of data of degrees of data, the first latitude data or the second longitude data, the second latitude data as enterprise.
6. system as claimed in claim 5, it is characterised in that the data are mutually authenticated to be passed through with completion process
Mapreduce parallel processings.
7. the system as described in one of claim 1 to 6, it is characterised in that the system includes implemented below step：
(1) enterprise name and corresponding address information are obtained by web crawlers；
(2) the geographical latitude and longitude information of enterprise corresponding to being obtained according to enterprise's address information invocation map platform interface；
(3) enterprise name got, enterprise address and enterprise's longitude information, enterprise's latitude information are stored in HDFS distributions
In file system；
(4) ElasticSearch indexed formats are created, the field of the index storage includes enterprise name, enterprise address and enterprise
Industry longitude information, enterprise's latitude information；
(5) by the enterprise name stored in HDFS distributed file systems, enterprise address and enterprise's longitude information, enterprise's latitude
Information is imported among index, forms the Geography of enterprise information index file based on ElasticSearch.
8. system as claimed in claim 7, it is characterised in that in the step (5), read with Mapreduce cloud computings batch
Take in enterprise name, enterprise address and enterprise's longitude information, enterprise's latitude information file write-in index.
9. system as claimed in claim 8, it is characterised in that in the step (5), according to index mapping format every enterprise
Industry information data：The name of the corresponding write-in index of enterprise name, the addr of the corresponding write-in index in enterprise address, Geography of enterprise letter
Cease the lon of the corresponding write-in index of longitude, the lat of the corresponding write-in index of Geography of enterprise information latitude.
10. system as claimed in claim 9, it is characterised in that the system obtains to be loaded with above-mentioned business location information
Analysis and computer, server or the server cluster of store function.
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108037917A (en) * | 2018-01-29 | 2018-05-15 | 上海腾道信息技术有限公司 | International trade data management system |
| CN110619088A (en) * | 2019-05-23 | 2019-12-27 | 北京无限光场科技有限公司 | Method and apparatus for processing information |
| CN110619087A (en) * | 2019-05-23 | 2019-12-27 | 北京无限光场科技有限公司 | Method and apparatus for processing information |
| CN110619086A (en) * | 2019-05-23 | 2019-12-27 | 北京无限光场科技有限公司 | Method and apparatus for processing information |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101228524A (en) * | 2005-05-27 | 2008-07-23 | 谷歌公司 | Using boundaries associated with a map view for business location searching |
| CN103116610A (en) * | 2013-01-23 | 2013-05-22 | 浙江大学 | Vector space big data storage method based on HBase |
| US9182895B1 (en) * | 2004-03-24 | 2015-11-10 | A9.Com, Inc. | Displaying representative images in a visual mapping system |
| CN105373559A (en) * | 2014-08-26 | 2016-03-02 | 深圳市赛格导航科技股份有限公司 | Geographic information acquisition method and geographic information acquisition system |
| CN105608112A (en) * | 2015-12-10 | 2016-05-25 | 北京奇虎科技有限公司 | Method and apparatus for measuring quality of map POI data |
-
2016
- 2016-06-05 CN CN201610387565.9A patent/CN107463559A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US9182895B1 (en) * | 2004-03-24 | 2015-11-10 | A9.Com, Inc. | Displaying representative images in a visual mapping system |
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