CN106682145A - Enterprise information processing method, server and client - Google Patents
Enterprise information processing method, server and client Download PDFInfo
- Publication number
- CN106682145A CN106682145A CN201611196376.XA CN201611196376A CN106682145A CN 106682145 A CN106682145 A CN 106682145A CN 201611196376 A CN201611196376 A CN 201611196376A CN 106682145 A CN106682145 A CN 106682145A
- Authority
- CN
- China
- Prior art keywords
- data base
- data
- information
- enterprise
- target
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/28—Databases characterised by their database models, e.g. relational or object models
- G06F16/284—Relational databases
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/22—Indexing; Data structures therefor; Storage structures
- G06F16/2228—Indexing structures
- G06F16/2272—Management thereof
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/25—Integrating or interfacing systems involving database management systems
- G06F16/258—Data format conversion from or to a database
Landscapes
- Engineering & Computer Science (AREA)
- Databases & Information Systems (AREA)
- Theoretical Computer Science (AREA)
- Data Mining & Analysis (AREA)
- Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Software Systems (AREA)
- Computational Linguistics (AREA)
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
Abstract
The invention discloses an enterprise information processing method, a server and a client. The method includes: collecting enterprise information from the Internet, and saving the enterprise information into a first database in a non-structural format; converting the non-structural-format enterprise information in the first database into structural-format enterprise information, and saving the structural-format enterprise information in a second database; saving the index information of each enterprise information in the second database into a third database; building relational data between every two enterprise information in the second database, and saving the relational data into a fourth database.
Description
Technical field
The present invention relates to enterprises service platform technology field, more particularly to a kind of processing method of company information, server
And client.
Background technology
Enterprises service platform performs letter from national credit information of enterprise publicity system, Chinese law court judgement document's net, China
Official's data are extracted in the websites such as the open net of breath, and all data are published on network by country, according to keyword query, stock
Five kinds of modes are inquired about in east/legal person's name inquiry, business scope inquiry, the people that breaks one's promise inquiry and advanced search, are provided the user search and are looked into
Ask function.The main information of inquiry enterprise includes the industrial and commercial information of enterprise, court decision information, affiliated enterprise's information, breaks one's promise
Information, judicial auction information, recruitment information and valuation of enterprise information etc..
Existing enterprise's service platform mainly collects the information on the Internet, is then simply pieced together integration, Ran Hou
It is shown on the website of oneself, although facilitate user and do not spend each website and remove respectively Query Information, but not to existing
Data do deep excavation and analysis.Give an example：User wants to know each enterprise, the hiding relation between shareholder, legal person, needs
Multiple search inquiry is carried out on website, then through oneself analyze, could it is concluded that.If themselves relation chain is hidden
That what is hidden is deep, and user does not effectively associate data, may ignore that some critically important information, so as to cause
Make to oneself unfavorable judgement.
The content of the invention
For solve above-mentioned technical problem, embodiments provide a kind of processing method of company information, server and
Client.
The processing method of company information provided in an embodiment of the present invention, including：
Company information is gathered from the Internet, the company information is stored in into the first data base with unstructured format
In；
The company information of the unstructured format in first data base is changed into into the company information of structured format,
And be stored in the second data base；
The index information of each company information in second data base is stored in the 3rd data base；
Build the relation data between each company information in second data base, and by described each company information
Between relation data be stored in the 4th data base.
In the embodiment of the present invention, methods described also includes：
When receive client transmission for critical field query statement when, from the 3rd data base inquiry with
Enterprise's index list that the critical field matches；
When receive client transmission in enterprise's index list target index query statement when, from institute
State and the Target Enterprise information matched with target index is inquired about in the second data base；
When the relational query for Target Enterprise information for receiving client transmission is instructed, from the 4th data base
The middle inquiry relation data related to the Target Enterprise information.
It is described to inquire about the relation related to the Target Enterprise information from the 4th data base in the embodiment of the present invention
Data, including at least one of：
The business connection figure similar to the Target Enterprise information is inquired about from the 4th data base；
The enterprise public feelings information related to the Target Enterprise information is inquired about from the 4th data base；
The business connection figure related to the Target Enterprise information is inquired about in 4th data base.
In the embodiment of the present invention, first data base is SQL (SQL) data base；Second data
Storehouse is MongoDB data bases；3rd data base is Solr data bases；4th data base is Neo4j data bases.
The processing method of the company information that another embodiment of the present invention is provided, including：
Show query interface, when the query statement for critical field is obtained on the query interface, by the inquiry
Instruction is sent to server, receives inquire from the 3rd data base and critical field phase that the server sends
The enterprise's index list matched somebody with somebody；
Show enterprise's index list, the query statement for target index is obtained in enterprise's index list
When, the query statement is sent to into server, receive inquiring about from the second data base and the mesh for the server transmission
The Target Enterprise information that mark index matches；
Show the Target Enterprise information, when the relational query instruction for Target Enterprise information is obtained, by the pass
It is that query statement is sent to server, receives inquiring about from the 4th data base and Target Enterprise letter for the server transmission
The relation data that manner of breathing is closed；
Show the relation data.
It is described to show that the relation data includes at least one of in the embodiment of the present invention：
Show the business connection figure similar to the Target Enterprise information；
Show the enterprise public feelings information related to the Target Enterprise information；
Show the business connection figure related to the Target Enterprise information.
In the embodiment of the present invention, first data base is SQL database；Second data base is MongoDB data
Storehouse；3rd data base is Solr data bases；4th data base is Neo4j data bases.
Server provided in an embodiment of the present invention, including：
Acquisition module, for gathering company information from the Internet；
Memory module, for the company information to be stored in the first data base with unstructured format；
Conversion module, for the company information of the unstructured format in first data base to be changed into into structuring lattice
The company information of formula；
The memory module, is additionally operable to that the company information of the structured format is stored in the second data base；By institute
The index information for stating each company information in the second data base is stored in the 3rd data base；
Build module, for building second data base in each company information between relation data；
The memory module, the relation data being additionally operable between described each company information is stored in the 4th data base.
In the embodiment of the present invention, the server also includes：
Enquiry module, for when receive client transmission for critical field query statement when, from the described 3rd
The enterprise's index list matched with the critical field is inquired about in data base；When receive client transmission for the enterprise
During the query statement of the target index in industry index list, inquire about from second data base and match with target index
Target Enterprise information；When the relational query for Target Enterprise information for receiving client transmission is instructed, from described the
The relation data related to the Target Enterprise information is inquired about in four data bases.
It is described to inquire about the relation related to the Target Enterprise information from the 4th data base in the embodiment of the present invention
Data, including at least one of：
The business connection figure similar to the Target Enterprise information is inquired about from the 4th data base；
The enterprise public feelings information related to the Target Enterprise information is inquired about from the 4th data base；
The business connection figure related to the Target Enterprise information is inquired about in 4th data base.
In the embodiment of the present invention, first data base is QL data bases；Second data base is MongoDB data
Storehouse；3rd data base is Solr data bases；4th data base is Neo4j data bases.
Client provided in an embodiment of the present invention, including：
Display module, for showing query interface；
Interface module, for obtaining on the query interface during query statement for critical field, by the inquiry
Instruction is sent to server, receives inquire from the 3rd data base and critical field phase that the server sends
The enterprise's index list matched somebody with somebody；
The display module, is additionally operable to show enterprise's index list；
The interface module, when being additionally operable to be obtained in enterprise's index list the query statement for target index,
The query statement is sent to into server, inquiring about from the second data base and the target rope for the server transmission is received
Draw the Target Enterprise information for matching；
The display module, is additionally operable to show the Target Enterprise information；
The interface module, is additionally operable to when the relational query instruction for Target Enterprise information is obtained, by the relation
Query statement is sent to server, receives inquiring about from the 4th data base and the Target Enterprise information for the server transmission
Related relation data；
The display module, is additionally operable to show the relation data.
It is described to show that the relation data includes at least one of in the embodiment of the present invention：
Show the business connection figure similar to the Target Enterprise information；
Show the enterprise public feelings information related to the Target Enterprise information；
Show the business connection figure related to the Target Enterprise information.
In the embodiment of the present invention, first data base is SQL database；Second data base is MongoDB data
Storehouse；3rd data base is Solr data bases；4th data base is Neo4j data bases.
In the technical scheme of the embodiment of the present invention, company information is gathered from the Internet, by the company information with non-knot
Structure form is stored in the first data base；The company information of the unstructured format in first data base is changed into into knot
The company information of structure form, and be stored in the second data base；By the rope of each company information in second data base
Fuse breath is stored in the 3rd data base；The relation data between each company information in second data base is built, and
Relation data between described each company information is stored in the 4th data base.When receive client transmission for close
During the query statement of key field, the enterprise's index list matched with the critical field is inquired about from the 3rd data base；
When receive client transmission in enterprise's index list target index query statement when, from described second number
The Target Enterprise information for matching is indexed with the target according to inquiring about in storehouse；When receive client transmission for Target Enterprise
When the relational query of information is instructed, from the 4th data base relation data related to the Target Enterprise information is inquired about.
Using the technical scheme of the embodiment of the present invention, can be collected for various types of business data, and be formed unified knot
Structure data, then, to structural data opening relationships data, enable a user to be got by platform more deep
Abundant business connection data.
Description of the drawings
Fig. 1 is the schematic flow sheet one of the processing method of the company information of the embodiment of the present invention；
Fig. 2 is the schematic flow sheet two of the processing method of the company information of the embodiment of the present invention；
Fig. 3 is the system architecture diagram of the embodiment of the present invention；
Fig. 4 is the structure chart of the website of the embodiment of the present invention；
Fig. 5 is the schematic flow sheet three of the processing method of the company information of the embodiment of the present invention；
Fig. 6 is the structure composition schematic diagram of the server of the embodiment of the present invention；
Fig. 7 is the structure composition schematic diagram of the client of the embodiment of the present invention.
Specific embodiment
The characteristics of in order to more fully hereinafter understand the embodiment of the present invention and technology contents, below in conjunction with the accompanying drawings to this
The realization of bright embodiment is described in detail, appended accompanying drawing purposes of discussion only for reference, not for limiting the embodiment of the present invention.
The website for providing enterprise's Back ground Information inquiry service by the Internet has a lot, with the development of big data industry,
Increasing enterprise adds, so as to cause enterprises service platform on the market to give people machine-made impression.So
In multiple enterprises service platform, can really stand in user perspective, provide the user data mining, the enterprises service of data analysiss and put down
Platform is few.Although some enterprises service platforms also provide simple business connection collection of illustrative plates, but complete not enough on range
Kind, the help to user is relatively limited.
For such case, in order to help user to be better understood by the relation between enterprise, to make correct decision-making,
The embodiment of the present invention with the addition of the data such as patent, recruitment information, public sentiment news on the basis of available data, emphatically.These numbers
According to hiding relation, enterprise dynamic that can more fully help between user's understanding enterprise etc..Enterprise's clothes of the embodiment of the present invention
The major function of business platform has：
Business connection figure：According to demand, can set the level of relation chain.
Similar business connection figure：Various dimensions, multi-angle inquires about similar enterprise, facilitates user to understand more enterprises.
Look for relation：Show the relation between enterprise at many levels using six degree of search.
Enterprise's public sentiment：The related news of enterprise are excavated from multi-angles such as industry, shareholder, senior executive, areas.
Fig. 1 is the schematic flow sheet one of the processing method of the company information of the embodiment of the present invention, the enterprise's letter in this example
The processing method of breath is applied to server side, as shown in figure 1, the processing method of the company information is comprised the following steps：
Step 101：Company information is gathered from the Internet, the company information is stored in into first with unstructured format
In data base.
In the embodiment of the present invention, the type of the company information that data acquisition platform is collected from the Internet is rich and varied,
Such as intellectual property information, application information, relation chain information, public feelings information etc..The information major part for being collected is non-knot
Structure data, therefore, the company information is stored in the first data base with unstructured format.
In a specific embodiment, first data base is SQL database.SQL database is relational database,
SQL database is also called SQLSERVER, because data acquisition platform is related to be associated between many configuration items, and each configuration item
Closely, need to be worked in coordination between them uses Relationship Comparison, and relevant database can be good at playing collection scheduling work
With.
Step 102：The company information of the unstructured format in first data base is changed into into structured format
Company information, and be stored in the second data base.
In the embodiment of the present invention, data processing platform (DPP) is mainly responsible for the data in the first data base (SQLSERVER), leads to
Cross natural language processing and become structural data, in being stored in the second data base.
In a specific embodiment, second data base is MongoDB data bases, and MongoDB is one between pass
It is the data base between data base and non-relational database, is that function is most abundant in the middle of non-relational database, is most like relation data
Storehouse.The data structure that he supports is very loose, is the bson forms of similar json, therefore can store more complicated data
Type.The characteristics of MongoDB is maximum is that the query language supported is very powerful, and its grammer is somewhat similarly to OO inquiry
Language, can almost realize most functions of similarity relation data base list table inquiry, but also support to set up rope to data
Draw.So there is lot of advantages as the principal database of interface item using MongoDB.
Step 103：The index information of each company information in second data base is stored in the 3rd data base.
In the embodiment of the present invention, the 3rd data base is Solr data bases, and Solr is that the enterprise-level based on Lucene is complete
Literary search server, is a very outstanding full-text search engine.In big data industry, full-text search function is essential
One of critical function.By function of search, we can faster, efficiently get the thing that user wants.
Step 104：Build the relation data between each company information in second data base, and by it is described each
Relation data between company information is stored in the 4th data base.
In the embodiment of the present invention, the 4th data base is Neo4j data bases, and Neo4j is high performance a, NOSQL
Graphic data base, it is stored in structural data on network rather than in table.Neo4j can also be counted as a high-performance
Figure engine, each enterprise, the relation chain between legal person, shareholder can quickly be found out by it.
In the embodiment of the present invention, methods described also includes：
When receive client transmission for critical field query statement when, from the 3rd data base inquiry with
Enterprise's index list that the critical field matches；
When receive client transmission in enterprise's index list target index query statement when, from institute
State and the Target Enterprise information matched with target index is inquired about in the second data base；
When the relational query for Target Enterprise information for receiving client transmission is instructed, from the 4th data base
The middle inquiry relation data related to the Target Enterprise information.
Wherein, it is described to inquire about the relation data related to the Target Enterprise information from the 4th data base, including
At least one of：
The business connection figure similar to the Target Enterprise information is inquired about from the 4th data base；
The enterprise public feelings information related to the Target Enterprise information is inquired about from the 4th data base；
The business connection figure related to the Target Enterprise information is inquired about in 4th data base.
Fig. 2 is the schematic flow sheet two of the processing method of the company information of the embodiment of the present invention, the enterprise's letter in this example
The processing method of breath is applied to client-side, as shown in Fig. 2 the processing method of the company information is comprised the following steps：
Step 201：Show query interface, when the query statement for critical field is obtained on the query interface, will
The query statement is sent to server, receives inquire from the 3rd data base and key that the server sends
Enterprise's index list that field matches.
In the embodiment of the present invention, the 3rd data base is Solr data bases；Solr is that the enterprise-level based on Lucene is complete
Literary search server, is a very outstanding full-text search engine.In big data industry, full-text search function is essential
One of critical function.By function of search, we can faster, efficiently get the thing that user wants.
Step 202：Show enterprise's index list, looking into for target index is obtained in enterprise's index list
When asking instruction, the query statement is sent to into server, receive the inquiry from the second data base that the server sends with
The Target Enterprise information that the target index matches.
In the embodiment of the present invention, second data base is MongoDB data bases；MongoDB is one between relation number
It is that function is most abundant in the middle of non-relational database according to the data base between storehouse and non-relational database, is most like relational database.
The data structure that he supports is very loose, is the bson forms of similar json, therefore can store more complicated data type.
The characteristics of MongoDB is maximum is that the query language supported is very powerful, and its grammer is somewhat similarly to OO query language,
Most functions of similarity relation data base list table inquiry can be almost realized, but also supports to set up index to data.Institute
So that there is lot of advantages as the principal database of interface item using MongoDB.
Step 203：Show the Target Enterprise information, when the relational query instruction for Target Enterprise information is obtained,
Relational query instruction is sent to into server, inquiring about from the 4th data base and the mesh for the server transmission is received
The related relation data of mark company information.
In the embodiment of the present invention, the 4th data base is Neo4j data bases；Neo4j is high performance a, NOSQL
Graphic data base, it is stored in structural data on network rather than in table.Neo4j can also be counted as a high-performance
Figure engine, each enterprise, the relation chain between legal person, shareholder can quickly be found out by it.
Step 204：Show the relation data.
It is described to show that the relation data includes at least one of in the embodiment of the present invention：
Show the business connection figure similar to the Target Enterprise information；
Show the enterprise public feelings information related to the Target Enterprise information；
Show the business connection figure related to the Target Enterprise information.
Fig. 3 for the embodiment of the present invention system architecture diagram, as shown in figure 3, the system of the embodiment of the present invention mainly include with
Lower four modules：Data acquisition platform, data processing platform (DPP), data-interface service, website.Wherein, data acquisition platform, data
Processing platform, data-interface service are located at server side, and website is located at client-side.
Data acquisition platform：The data of needs are gathered from the Internet, in non-structured form SQLSERVER is stored in
In data base.
Data processing platform (DPP)：The system is mainly responsible for the data in SQLSERVER, by natural language processing, becomes
Structural data, in being stored in NQSQL data bases.
Data-interface is serviced：The system is responsible for providing data to website and APP.According to concrete business demand, data base
Data, through process and pack, then called for concrete operation system with JSON data forms.The system body inwardly makes
It is three-tier architecture pattern, three-tier architecture includes：Data access layer, Business Logic, boundary layer.Because the system is interface
Project, so using WEBAPI alternative interface layers, to reach the purpose for providing data, services.
Website：The project is pure front end project, and the page is built using HTML5+CSS3, the compatible mobile terminal page.And lead to
JavaScript and associated component are crossed, data-interface is called in ajax modes, the data exhibiting for returning on related pages.Such as
Shown in Fig. 4, Fig. 4 is the structure chart of the website of the embodiment of the present invention, and homepage includes a series of query option, and user can select
Certain option, is then input into after critical field, just can realize inquiry, and server can return first list page, if user's choosing
Certain destination object in list is selected, then server returns details page.
In the technical scheme of the embodiment of the present invention, considered according to business and systematic function, used multiple Database Systems,
Including relevant database (SERVERSQL) and NOSQL data bases (MongoDB, Solr, Neo4j).
SQLSERVER：It is tighter that data acquisition platform is related to incidence relation between many configuration items, and each configuration item
Close, needing to be worked in coordination between them uses, and relevant database can be good at playing collection scheduling effect.
MongoDB：MongoDB is a product between relational database and non-relational database, is non-relation
Function is most abundant in the middle of data base, is most like relational database.The data structure that he supports is very loose, is similar json
Bson forms, therefore more complicated data type can be stored.The characteristics of Mongo is maximum be he support query language very
Powerful, its grammer is somewhat similarly to OO query language, can almost realize similarity relation data base list table inquiry
Most functions, but also support to set up index to data.So using MongoDB as interface item principal database
It is one to select well.
Solr：It, based on the enterprise-level full-text search server of Lucene, is a very outstanding full-text search that Solr is
Engine.In big data industry, full-text search function is one of requisite critical function.By function of search, we can
It is faster, efficiently get the thing that we want.
Neo4j：Neo4j is one high performance, NOSQL graphic data bases, and it is stored in structural data on network
Rather than in table.Neo4j can also be counted as a high performance figure engine, and by it, we can quickly find out each enterprise
Relation chain between industry, legal person, shareholder.
It is separate between each platform in the embodiment of the present invention, each platform is responsible for the functional module of oneself, i.e.,
Just oneself responsible module goes wrong, and does not also interfere with other platform operation.And can be according to oneself service needed and property
Can consider, using most suitable mode is built, maximize so as to reach efficiency.
Fig. 5 is the schematic flow sheet three of the processing method of the company information of the embodiment of the present invention, as shown in figure 5, the enterprise
The processing method of industry information is comprised the following steps：
Step 501：Input search key.
Step 502：Full-text search, returning result data are carried out in Solor data bases.
Do not chase after 503：By page presentation the results list.
Step 504：Certain data for clicking on list checks details.
Step 505：Details data are inquired about in MongoDB data bases according to clicking operation.
Step 506：By page presentation result details.
Step 507：Judge whether to check business connection figure, when being, execution step 508, when no, process ends.
Step 508：Business connection data are inquired about in Neo4j data bases.
Step 509：By page presentation business connection figure.
Fig. 6 is the structure composition schematic diagram of the server of the embodiment of the present invention, as shown in fig. 6, the server includes：
Acquisition module 61, for gathering company information from the Internet；
Memory module 62, for the company information to be stored in the first data base with unstructured format；
Conversion module 63, for the company information of the unstructured format in first data base to be changed into into structuring
The company information of form；
The memory module 62, is additionally operable to that the company information of the structured format is stored in the second data base；Will
The index information of each company information in second data base is stored in the 3rd data base；
Build module 64, for building second data base in each company information between relation data；
The memory module 62, the relation data being additionally operable between described each company information is stored in the 4th data base
In.
In the embodiment of the present invention, the server also includes：
Enquiry module 65, for when receive client transmission for critical field query statement when, from described the
The enterprise's index list matched with the critical field is inquired about in three data bases；When receive client transmission for described
During the query statement of the target index in enterprise's index list, inquire about from second data base and index phase with the target
The Target Enterprise information matched somebody with somebody；When the relational query for Target Enterprise information for receiving client transmission is instructed, from described
The relation data related to the Target Enterprise information is inquired about in 4th data base.
It is described to inquire about the relation related to the Target Enterprise information from the 4th data base in the embodiment of the present invention
Data, including at least one of：
The business connection figure similar to the Target Enterprise information is inquired about from the 4th data base；
The enterprise public feelings information related to the Target Enterprise information is inquired about from the 4th data base；
The business connection figure related to the Target Enterprise information is inquired about in 4th data base.
In the embodiment of the present invention, first data base is QL data bases；Second data base is MongoDB data
Storehouse；3rd data base is Solr data bases；4th data base is Neo4j data bases.
It will be appreciated by those skilled in the art that each module in the server shown in Fig. 6 to realize that function can refer to aforementioned
The associated description of the processing method of company information and understand.The function of each module in the server shown in Fig. 6 can be by operation
Program on processor and realize, also can be realized by specific logic circuit.
Fig. 7 is the structure composition schematic diagram of the client of the embodiment of the present invention, as shown in fig. 7, the client includes：
Display module 71, for showing query interface；
Interface module 72, for obtaining on the query interface during query statement for critical field, looks into described
Ask instruction and be sent to server, receive inquire from the 3rd data base and critical field phase that the server sends
Enterprise's index list of matching；
The display module 71, is additionally operable to show enterprise's index list；
The interface module 72, is additionally operable to obtain the query statement for target index in enterprise's index list
When, the query statement is sent to into server, receive inquiring about from the second data base and the mesh for the server transmission
The Target Enterprise information that mark index matches；
The display module 71, is additionally operable to show the Target Enterprise information；
The interface module 72, is additionally operable to when the relational query instruction for Target Enterprise information is obtained, by the pass
It is that query statement is sent to server, receives inquiring about from the 4th data base and Target Enterprise letter for the server transmission
The relation data that manner of breathing is closed；
The display module 71, is additionally operable to show the relation data.
It is described to show that the relation data includes at least one of in the embodiment of the present invention：
Show the business connection figure similar to the Target Enterprise information；
Show the enterprise public feelings information related to the Target Enterprise information；
Show the business connection figure related to the Target Enterprise information.
In the embodiment of the present invention, first data base is SQL database；Second data base is MongoDB data
Storehouse；3rd data base is Solr data bases；4th data base is Neo4j data bases.
It will be appreciated by those skilled in the art that each module in the client shown in Fig. 7 to realize that function can refer to aforementioned
The associated description of the processing method of company information and understand.The function of each module in the client shown in Fig. 7 can be by operation
Program on processor and realize, also can be realized by specific logic circuit.
Between technical scheme described in the embodiment of the present invention, in the case where not conflicting, can be in any combination.
In several embodiments provided by the present invention, it should be understood that disclosed method and smart machine, Ke Yitong
Cross other modes to realize.Apparatus embodiments described above are only schematic, for example, the division of the unit, and only
Only a kind of division of logic function, can have other dividing mode, such as when actually realizing：Multiple units or component can be tied
Close, or be desirably integrated into another system, or some features can be ignored, or do not perform.In addition, shown or discussed each group
Can be by the indirect of some interfaces, equipment or unit into coupling partly each other or direct-coupling or communication connection
Coupling is communicated to connect, and can be electrical, machinery or other forms.
The above-mentioned unit as separating component explanation can be or may not be it is physically separate, it is aobvious as unit
The part for showing can be or may not be physical location, you can with positioned at a place, it is also possible to be distributed to multiple network lists
In unit；Part or all of unit therein can according to the actual needs be selected to realize the purpose of this embodiment scheme.
In addition, each functional unit in various embodiments of the present invention can be fully integrated in a second processing unit,
Can also be each unit individually as a unit, it is also possible to which two or more units are integrated in a unit；
Above-mentioned integrated unit both can be realized in the form of hardware, it would however also be possible to employ hardware adds the form reality of SFU software functional unit
It is existing.
The above, the only specific embodiment of the present invention, but protection scope of the present invention is not limited thereto, any
Those familiar with the art the invention discloses technical scope in, change or replacement can be readily occurred in, all should contain
Cover within protection scope of the present invention.
Claims (10)
1. a kind of processing method of company information, it is characterised in that methods described includes：
Company information is gathered from the Internet, the company information is stored in the first data base with unstructured format；
The company information of the unstructured format in first data base is changed into into the company information of structured format, and is deposited
Storage is in the second data base；
The index information of each company information in second data base is stored in the 3rd data base；
The relation data between each company information in second data base is built, and by between described each company information
Relation data be stored in the 4th data base.
2. the processing method of company information according to claim 1, it is characterised in that methods described also includes：
When receive client transmission for critical field query statement when, inquire about from the 3rd data base with it is described
Enterprise's index list that critical field matches；
When receive client transmission for the target index in enterprise's index list query statement when, from described the
The Target Enterprise information matched with target index is inquired about in two data bases；
When the relational query for Target Enterprise information for receiving client transmission is instructed, look into from the 4th data base
Ask the relation data related to the Target Enterprise information.
3. the processing method of company information according to claim 2, it is characterised in that described from the 4th data base
The inquiry relation data related to the Target Enterprise information, including at least one of：
The business connection figure similar to the Target Enterprise information is inquired about from the 4th data base；
The enterprise public feelings information related to the Target Enterprise information is inquired about from the 4th data base；
The business connection figure related to the Target Enterprise information is inquired about in 4th data base.
4. the processing method of company information according to claim 1, it is characterised in that first data base is structuring
Query language SQL database；Second data base is MongoDB data bases；3rd data base is Solr data bases；Institute
The 4th data base is stated for Neo4j data bases.
5. a kind of processing method of company information, it is characterised in that methods described includes：
Show query interface, when the query statement for critical field is obtained on the query interface, by the query statement
Be sent to server, receive that the server sends inquire from the 3rd data base match with the critical field
Enterprise's index list；
Show enterprise's index list, when the query statement for target index is obtained in enterprise's index list, will
The query statement is sent to server, receives inquiring about from the second data base and target index for the server transmission
The Target Enterprise information for matching；
Show the Target Enterprise information, when the relational query instruction for Target Enterprise information is obtained, the relation is looked into
Ask instruction and be sent to server, receive inquiring about from the 4th data base and the Target Enterprise information phase for the server transmission
The relation data of pass；
Show the relation data.
6. the processing method of company information according to claim 5, it is characterised in that the displaying relation data bag
Include at least one of：
Show the business connection figure similar to the Target Enterprise information；
Show the enterprise public feelings information related to the Target Enterprise information；
Show the business connection figure related to the Target Enterprise information.
7. the processing method of the company information according to claim 5 or 6, it is characterised in that first data base is SQL
Data base；Second data base is MongoDB data bases；3rd data base is Solr data bases；4th data
Storehouse is Neo4j data bases.
8. a kind of server, it is characterised in that the server includes：
Acquisition module, for gathering company information from the Internet；
Memory module, for the company information to be stored in the first data base with unstructured format；
Conversion module, for the company information of the unstructured format in first data base to be changed into into structured format
Company information；
The memory module, is additionally operable to that the company information of the structured format is stored in the second data base；By described
The index information of each company information in two data bases is stored in the 3rd data base；
Build module, for building second data base in each company information between relation data；
The memory module, the relation data being additionally operable between described each company information is stored in the 4th data base.
9. server according to claim 8, it is characterised in that the server also includes：
Enquiry module, for when receive client transmission for critical field query statement when, from the 3rd data
The enterprise's index list matched with the critical field is inquired about in storehouse；When receive client transmission for enterprise's rope
When drawing the query statement that the target in list is indexed, the mesh matched with target index is inquired about from second data base
Mark company information；When the relational query for Target Enterprise information for receiving client transmission is instructed, from the described 4th number
According to inquiring about the relation data related to the Target Enterprise information in storehouse.
10. a kind of client, it is characterised in that the client includes：
Display module, for showing query interface；
Interface module, for obtaining on the query interface during query statement for critical field, by the query statement
Be sent to server, receive that the server sends inquire from the 3rd data base match with the critical field
Enterprise's index list；
The display module, is additionally operable to show enterprise's index list；
The interface module, when being additionally operable to be obtained in enterprise's index list the query statement for target index, by institute
State query statement and be sent to server, receive inquiring about from the second data base and target index phase for the server transmission
The Target Enterprise information of matching；
The display module, is additionally operable to show the Target Enterprise information；
The interface module, is additionally operable to when the relational query instruction for Target Enterprise information is obtained, by the relational query
Instruction is sent to server, and receive the server transmission inquires about related to the Target Enterprise information from the 4th data base
Relation data；
The display module, is additionally operable to show the relation data.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201611196376.XA CN106682145A (en) | 2016-12-22 | 2016-12-22 | Enterprise information processing method, server and client |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201611196376.XA CN106682145A (en) | 2016-12-22 | 2016-12-22 | Enterprise information processing method, server and client |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN106682145A true CN106682145A (en) | 2017-05-17 |
Family
ID=58870197
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201611196376.XA Pending CN106682145A (en) | 2016-12-22 | 2016-12-22 | Enterprise information processing method, server and client |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN106682145A (en) |
Cited By (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107357851A (en) * | 2017-06-28 | 2017-11-17 | 国信优易数据有限公司 | A kind of information processing method and system |
| CN107798129A (en) * | 2017-11-17 | 2018-03-13 | 北京中电普华信息技术有限公司 | A kind of method and system of integration Neo4j databases and J2EE platforms |
| CN108509608A (en) * | 2018-03-30 | 2018-09-07 | 重庆市农业科学院 | Interactive Management System of Crop Production andIts based on WEB and its method |
| CN109254963A (en) * | 2017-07-12 | 2019-01-22 | 金脑数位股份有限公司 | Message processing device |
| CN109377375A (en) * | 2018-09-03 | 2019-02-22 | 平安科技（深圳）有限公司 | Fund relation map generation method, system, computer equipment and storage medium |
| CN110019540A (en) * | 2017-07-20 | 2019-07-16 | 阿里巴巴集团控股有限公司 | Implementation method, methods of exhibiting and the device of enterprise's map, equipment |
| CN110109948A (en) * | 2019-04-25 | 2019-08-09 | 数译(成都)信息技术有限公司 | Data query method, computer equipment and computer readable storage medium |
| CN110457286A (en) * | 2019-06-27 | 2019-11-15 | 安徽鸿途创智图文快印有限公司 | A kind of digital printing enterprise information management method |
| CN110489433A (en) * | 2019-07-11 | 2019-11-22 | 中国平安人寿保险股份有限公司 | A kind of message treatment method and device, electronic equipment based on MongoDB |
| CN111949709A (en) * | 2020-08-12 | 2020-11-17 | 山东建筑大学 | Intelligent enterprise information processing method based on big data |
| CN113535028A (en) * | 2021-07-29 | 2021-10-22 | 合肥新青罗数字技术有限公司 | Enterprise operation state visual display method |
| CN113946769A (en) * | 2021-12-20 | 2022-01-18 | 北京企名片科技有限公司 | Display mode for retrieval result |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1731393A (en) * | 2005-07-08 | 2006-02-08 | 左嘉 | Enterprise information searching method based on key words |
| CN105740335A (en) * | 2016-01-22 | 2016-07-06 | 山东合天智汇信息技术有限公司 | Titan-based enterprise information analysis platform and construction method thereof |
| CN106126614A (en) * | 2016-06-21 | 2016-11-16 | 山东合天智汇信息技术有限公司 | A kind of method and system reviewing Liang Ge enterprise multi-layer associated path |
-
2016
- 2016-12-22 CN CN201611196376.XA patent/CN106682145A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1731393A (en) * | 2005-07-08 | 2006-02-08 | 左嘉 | Enterprise information searching method based on key words |
| CN105740335A (en) * | 2016-01-22 | 2016-07-06 | 山东合天智汇信息技术有限公司 | Titan-based enterprise information analysis platform and construction method thereof |
| CN106126614A (en) * | 2016-06-21 | 2016-11-16 | 山东合天智汇信息技术有限公司 | A kind of method and system reviewing Liang Ge enterprise multi-layer associated path |
Cited By (16)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107357851A (en) * | 2017-06-28 | 2017-11-17 | 国信优易数据有限公司 | A kind of information processing method and system |
| CN107357851B (en) * | 2017-06-28 | 2020-01-31 | 国信优易数据有限公司 | information processing method and system |
| CN109254963A (en) * | 2017-07-12 | 2019-01-22 | 金脑数位股份有限公司 | Message processing device |
| CN110019540A (en) * | 2017-07-20 | 2019-07-16 | 阿里巴巴集团控股有限公司 | Implementation method, methods of exhibiting and the device of enterprise's map, equipment |
| CN110019540B (en) * | 2017-07-20 | 2023-09-29 | 阿里巴巴集团控股有限公司 | Implementation method, display method, device and equipment of enterprise atlas |
| CN107798129A (en) * | 2017-11-17 | 2018-03-13 | 北京中电普华信息技术有限公司 | A kind of method and system of integration Neo4j databases and J2EE platforms |
| CN108509608B (en) * | 2018-03-30 | 2021-06-22 | 重庆市农业科学院 | WEB-based interactive crop production management system and method thereof |
| CN108509608A (en) * | 2018-03-30 | 2018-09-07 | 重庆市农业科学院 | Interactive Management System of Crop Production andIts based on WEB and its method |
| CN109377375A (en) * | 2018-09-03 | 2019-02-22 | 平安科技（深圳）有限公司 | Fund relation map generation method, system, computer equipment and storage medium |
| CN110109948A (en) * | 2019-04-25 | 2019-08-09 | 数译(成都)信息技术有限公司 | Data query method, computer equipment and computer readable storage medium |
| CN110457286A (en) * | 2019-06-27 | 2019-11-15 | 安徽鸿途创智图文快印有限公司 | A kind of digital printing enterprise information management method |
| CN110489433A (en) * | 2019-07-11 | 2019-11-22 | 中国平安人寿保险股份有限公司 | A kind of message treatment method and device, electronic equipment based on MongoDB |
| CN110489433B (en) * | 2019-07-11 | 2023-10-27 | 中国平安人寿保险股份有限公司 | MongoDB-based message processing method and device and electronic equipment |
| CN111949709A (en) * | 2020-08-12 | 2020-11-17 | 山东建筑大学 | Intelligent enterprise information processing method based on big data |
| CN113535028A (en) * | 2021-07-29 | 2021-10-22 | 合肥新青罗数字技术有限公司 | Enterprise operation state visual display method |
| CN113946769A (en) * | 2021-12-20 | 2022-01-18 | 北京企名片科技有限公司 | Display mode for retrieval result |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN106682145A (en) | Enterprise information processing method, server and client | |
| US9613165B2 (en) | Autocomplete searching with security filtering and ranking | |
| CN107273409A (en) | A kind of network data acquisition, storage and processing method and system | |
| US20090077065A1 (en) | Method and system for information searching based on user interest awareness | |
| US20130013616A1 (en) | Systems and Methods for Natural Language Searching of Structured Data | |
| CN102760151B (en) | Implementation method of open source software acquisition and searching system | |
| CN108647276B (en) | Searching method | |
| CN105468605A (en) | Entity information map generation method and device | |
| Kim et al. | Event diffusion patterns in social media | |
| CN103631791B (en) | Information fusion classification display method and system | |
| CN103377240B (en) | Information providing method, processing server and merging server | |
| CN105378730A (en) | Social media content analysis and output | |
| CN102253939A (en) | Searching method and system based on cloud computing technology | |
| CN107563715A (en) | Foreign trade set-off marketing system and method | |
| CN103455498B (en) | A kind of form keyword message localization method based on hypertext | |
| CN104133839A (en) | Data processing method and system with intelligent detection function | |
| US20140032520A1 (en) | Image retrieval method and system for community website page | |
| CN104133838A (en) | Data processing method and system with system detection function | |
| JP2015527677A (en) | Social network search result presentation method and apparatus, and storage medium | |
| CN101308507B (en) | Internet information issue and search method | |
| CN105138643A (en) | Patent retrieval system and retrieval method thereof | |
| CN106776910A (en) | The display methods and device of a kind of Search Results | |
| KR20140026796A (en) | System and method for providing customized patent analysis service | |
| CN106708851A (en) | Information processing method and device | |
| CN103365845B (en) | A kind of searching method in microblogging and system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20170517 |