CN106294669A - A kind of multiple terminals data collection and relation converting system and method - Google Patents
A kind of multiple terminals data collection and relation converting system and method Download PDFInfo
- Publication number
- CN106294669A CN106294669A CN201610635629.2A CN201610635629A CN106294669A CN 106294669 A CN106294669 A CN 106294669A CN 201610635629 A CN201610635629 A CN 201610635629A CN 106294669 A CN106294669 A CN 106294669A
- Authority
- CN
- China
- Prior art keywords
- data
- entity
- translation
- relation
- controll end
- 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.)
- Granted
Links
- 238000013480 data collection Methods 0.000 title claims abstract description 25
- 238000000034 method Methods 0.000 title description 5
- 238000013519 translation Methods 0.000 claims abstract description 94
- 238000013507 mapping Methods 0.000 claims abstract description 48
- 238000006243 chemical reaction Methods 0.000 claims description 16
- 230000005540 biological transmission Effects 0.000 claims description 5
- 230000006835 compression Effects 0.000 claims description 4
- 238000007906 compression Methods 0.000 claims description 4
- 238000012544 monitoring process Methods 0.000 claims description 2
- 235000013399 edible fruits Nutrition 0.000 claims 1
- 230000000875 corresponding effect Effects 0.000 description 3
- 238000002372 labelling Methods 0.000 description 3
- 238000004891 communication Methods 0.000 description 2
- 230000008878 coupling Effects 0.000 description 2
- 238000010168 coupling process Methods 0.000 description 2
- 238000005859 coupling reaction Methods 0.000 description 2
- 230000005611 electricity Effects 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 238000012545 processing Methods 0.000 description 2
- 208000011580 syndromic disease Diseases 0.000 description 2
- 238000013459 approach Methods 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 230000002596 correlated effect Effects 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000000149 penetrating effect Effects 0.000 description 1
- 239000007787 solid Substances 0.000 description 1
- 230000009466 transformation Effects 0.000 description 1
- 230000007306 turnover Effects 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/951—Indexing; Web crawling techniques
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)
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
Abstract
A kind of multiple terminals data collection and relation converting system, including Service controll end, proxy terminal, relation translation engine, interface service module, described Service controll end includes relation management module；Described Service controll end is connected with multiple last phases of acting on behalf of, and described each proxy terminal and an operation system are connected, and described relation translation engine is connected with interface service module, and described interface service module is connected with multiple operation systems；Described proxy terminal gather data also sends Service controll end to, and described Service controll end produces entity mapping relations data and sends relation translation engine to.The present invention carries out data collection by distributed multiple terminals, and obtain entity mapping relations data by rule match scheduling algorithm, the automatic transfer problem of relationship entity when solving each operation system circulation in the Internet B2B platform, releases the operation of the manual intervention translation of manpower.
Description
Technical field
The present invention relates to internet arena, particularly relate to a kind of multiple terminals data collection and relation converting system and method.
Background technology
It is the most ripe that current multiple terminals, the Internet Real-time Communication Technology has developed, and utilizes these existing ripe communication skills
Art, makes the thing much needing human input to participate in people's live and work obtain more convenient simple solution.
But now, at internet arena, also have a lot of problem needing to solve.The present invention is directed to the Internet B2B transaction flat
The relation translation of the entities such as user in platform, client, business corporation, commodity needs the problem artificially going to determine, proposes by one
Plant new data collection and relation converting system, realize the automatization of this work.
Summary of the invention
The invention aims to solve the deficiencies in the prior art, it is provided that a kind of multiple terminals data collection and relation conversion
System and method, the relationship safeguard of feasible system, auto-associating and relation conversion.
It is an object of the invention to be achieved through the following technical solutions:
A kind of multiple terminals data collection and relation converting system, including:
Service controll end, is used for issuing data pull order, resolves and bind the relation between entity, translation of dealing with relationship
Request；
Described Service controll end includes an interface service module, for transmitting translation request and the information of translation result；
Described Service controll end includes a relation management module, for providing entity mapping relations number on Service controll end
According to inquiry and service user interface；
Proxy terminal, for receiving the data pull order of Service controll end and carrying out data acquisition, feedback result gives clothes
Business controls end；
Relation translation engine, for storing the entity mapping relations data mated, and provides the translation service of entity
Call to operation system；
Described Service controll end is connected with multiple last phases of acting on behalf of, and described each proxy terminal and an operation system are connected
Connecing, described relation translation engine is connected with interface service module, and described interface service module is connected with multiple operation systems；
Described proxy terminal gather data also sends Service controll end to, and described Service controll end receives proxy terminal transmission
Data and produce entity mapping relations data, described Service controll end entity mapping relations data are sent to relation translation draw
Hold up；Described operation system sends translation and asks to interface service module, and described interface service module sends translation request to pass
Being translation engine, translation result is sent to interface service module by described relation translation engine, and described interface service module will be turned over
Translate result and send operation system to.
Above-mentioned a kind of multiple terminals data collection and relation converting system, wherein, produce and deposit entity mapping relations data
At least comprise the following steps:
Step 1, described Service controll end actively issues data pull order and orders to each proxy terminal, described data pull
Order includes pulling information data and the business datum of an entity；
Step 2, described proxy terminal receives the data pull order that Service controll end issues, carries out the collection of data and add
Carry, and serialize and the data of compression collection, send the data after serializing and compression to Service controll end；
Step 3, Service controll end receives information data and the business datum of the entity that proxy terminal transmits, closes according to entity
It is the algorithm of mapping ruler and similarity, calculates the matching relationship that weighted value is the highest, and as reflecting of finally determining
Penetrate relation；
Step 4, the entity mapping relations data that Service controll end will eventually determine send relation translation engine to and deposit
Storage.
Above-mentioned a kind of multiple terminals data collection and relation converting system, wherein, produce and storage entity mapping relations number
According at least comprising the following steps:
Step 1, the business datum situation of described proxy terminal real-time monitoring business system, produce when there being new business datum
Time, proxy terminal is collected data and the information data of related entities that business relations occur, and is sent Service controll end to；
Step 2, Service controll end receives the data that proxy terminal transmits, and resolves it, reflects according to entity relationship
Penetrate the algorithm of rule and similarity, calculate the matching relationship that weighted value is the highest, and close as the mapping finally determined
System；
Step 3, the entity mapping relations data that Service controll end will eventually determine send relation translation engine to and deposit
Storage.
Above-mentioned a kind of multiple terminals data collection and relation converting system, wherein, the transmission of entity mapping relations data is extremely
Comprise the following steps less:
Step 1, operation system, in work flow, needs to translate into certain entity the entity of operation system, then will translation
Request sends interface service module to；
Step 2, interface service module receives translation request and sends translation request to relation translation engine, and relation is turned over
Translate engine and perform translation, search entity mapping relations data；
Step 3, translation result is assembled result data according to translation protocol and returns to the business of request by relation translation engine
In system；
Step 4, the operation system conversion entity identity of request, continues follow-up business operation.
Above-mentioned a kind of multiple terminals data collection and relation converting system, wherein, according to entity relationship mapping ruler and phase
The algorithm seemingly spent, the concrete steps calculating the highest matching relationship of weighted value include:
According to the information data of entity collected and business datum, following formula is used to obtain matching relationship:
Wherein, X variable is the entity object needing translation, and Y variable is information data and the business of the entity needing translation
Data；R (X, Y) is X variable and the correlation coefficient of Y variable ,-1≤r≤+ 1.
By multiple terminals data collection and the relation converting system of the present invention, workflow can be simplified, save manpower, raising
Work efficiency, such as: the when that business personnel processing trading order form contract, it is not necessary to know corresponding the opening of client of certain order
What ticket business corporation is, it is not required that know that the national regulation trade name that in order, the trade name correspondence of transaction is made out an invoice is
What, by multiple terminals data collection and the relation converting system of the present invention, can realize business object and commodity user, visitor
Automatically collecting and conversion of relationship map conversion between family, legal person, enterprise.
In sum, the present invention carries out data collection by distributed multiple terminals, and is obtained by rule match scheduling algorithm
Treating excess syndrome body mapping relations data, the automatic conversion of relationship entity when solving each operation system circulation in the Internet B2B platform
Problem, releases the operation of the manual intervention translation of manpower.
Accompanying drawing explanation
Fig. 1 is the present invention a kind of multiple terminals data collection and the Service controll end of relation converting system, proxy terminal, relation
The catenation principle figure of translation engine；
Fig. 2 is transmission and the operational flow diagram of translation service of the entity mapping relations data of the present invention.
Detailed description of the invention
Below in conjunction with the accompanying drawings the detailed description of the invention of the present invention is described in detail.
Refer to Fig. 1, the invention provides a kind of multiple terminals data collection and relation converting system,
The present invention is to solve in B2B transaction platform business object and commodity between user, client, legal person, enterprise
Relationship map conversion problem, it is provided that the relationship safeguard of a kind of system, auto-associating, relation conversion solution.
The present invention includes Service controll end, multiple proxy terminal, relation translation engine, interface service module.
Service controll end is used for issuing data pull order, resolves and bind the relation between entity, translation of dealing with relationship
Request.Service controll end includes a relation management module and an interface service module, and relation management module is at Service controll
Thering is provided inquiry and the service user interface of entity mapping relations data on end, interface service module is used for transmitting translation request and turning over
Translate the information of result.
Proxy terminal is for receiving the data pull order of Service controll end and carrying out data acquisition, and feedback result gives service
Control end.
Relation translation engine for storing the entity mapping relations data mated, and provide the translation service of entity to
Operation system is called；Relational DBMS MYSQL can be used to carry out storage entity mapping relations data, use
Mybatis provides data access and translation interface.
Entity refers to the object needing to translate data, such as one order entity, and the inside can include the id that order is relevant
Labelling, all information that order is relevant, the most such as: client entity, and corporate entity, user subject, commodity entity etc..
Operation system includes but not limited to the CRM, OMS (order management system) of B2B electricity business's enterprises, PMS (commercial pipes
Reason system), ERP, financial system is in interior operation system, the informationization that B2B electricity business is mainly engaged in by the effect of these systems
Support.
Business datum refers to the business relations data that each operation system related in enterprise B 2B transaction platform produces, example
As, an order data in order management system, the contract dataset etc. in client management system.
Service controll end is connected with multiple last phases of acting on behalf of, and each proxy terminal and an operation system are connected, and relation is turned over
Translating engine to be connected with interface service module, interface service module is connected with multiple operation systems.
Proxy terminal monitors the situation of multiple operation system in real time, can gather data send Service controll end to, service
Control end receive the data of proxy terminal transmission and produce entity mapping relations data and entity mapping relations data sent to
Relation translation engine.
When operation system needs the relation Transformation Service of entity, translation request can be sent to interface service module, interface
Translation request is sent to relation translation engine by service module, and translation result is sent to interface service mould by relation translation engine
Block, interface service module sends translation result to operation system.
First purpose of the present invention is to produce and deposit entity mapping relations data, and the present invention can be produced by both of which
And storage entity mapping relations data, the first pattern is aggressive mode, Service controll end actively issue data pull order to
Each proxy terminal, data pull order includes information data and the business datum pulling an entity.
Proxy terminal receives the data pull order that Service controll end issues, and proceeds by collection and the loading of data,
And serialize and the data of compression collection, the data after serializing and compress send Service controll end to.
Service controll end receives information data and the business datum of the entity that proxy terminal transmits, and maps according to entity relationship
Rule and the algorithm of similarity, draw, after calculating, the matching relationship that weighted value is the highest, and as reflecting of finally determining
Penetrating relation, entity relationship mapping ruler includes the coupling of the feature field etc. of the labelling number of entity, the name field of entity, entity
Relation.
The present invention produces and the second pattern of storage entity mapping relations data is reverse mode, and proxy terminal is supervised in real time
The business datum situation of control operation system, when there being new business datum to produce, proxy terminal collects the number that business relations occur
According to the information data with related entities, and send Service controll end to.
Service controll end receives the data that proxy terminal transmits, and resolves it, according to entity relationship mapping ruler
With the algorithm of similarity, after calculating, draw the matching relationship that weighted value is the highest, and close as the mapping finally determined
System, entity relationship mapping ruler includes that the coupling of the feature field etc. of the labelling number of entity, the name field of entity, entity is closed
System.
The main formulas for calculating calculating matching relationship has:
Wherein, X variable is the entity object needing translation, and Y variable is information data and the business of the entity needing translation
Data, the entity type that can translate as required obtains corresponding solid data from extra crawler system data base；r
(X, Y) is X variable and the correlation coefficient of Y variable ,-1≤r≤+ 1.
The character of r (X, Y) is as follows:
(1) as r (X, Y) ＞ 0, representing two variable positive correlations, as r (X, Y) ＜ 0, two variablees are negative correlation.
(2) when | r (X, Y) | is when=1, represent that two variablees are fairly linear relevant, be functional relationship.
(3) as r (X, Y)=0, represent between two variablees without linear relationship.
(4) as 0 ＜, | r (X, Y) | is during ＜ 1, represents that two variablees exist a certain degree of linear correlation, and | r (X, Y) | more connects
Nearly 1, two variable linearly relations are the closest；| r (X, Y) | is closer to 0, represents that the linear correlation of two variablees is the most weak.
R (X, Y) can be divided into Three Estate: | r (X, Y) | ＜ 0.4 is lower correlation；0.4≤| r (X, Y) | ＜ 0.7 is
Significant correlation；0.7≤＜ 1 is highly correlated | r (X, Y) |.
Finally, the entity mapping relations data that Service controll end will eventually determine send relation translation engine to and deposit
Storage.
Second object of the present invention is intended to realize the entity mapping relations data, services of storage in operation system, it is ensured that
During operation system work flow, the automatic conversion of entity, without artificial conversion, refers to Fig. 2.
Operation system is in work flow, if needing to translate into certain entity the entity of operation system, it is achieved entity closes
System's conversion, then can send interface service module to by translation request.Interface service module receives translation request and translation is asked
Asking and send relation translation engine to, relation translation engine performs translation, searches entity mapping relations data.
The step searching entity mapping relations data includes:
(1) according to the definite history service relation data translation existed, if not having, then enter step (2) and perform to turn over
Translate.
(2) the matching relationship translation of the determination of Service controll end is reported to according to operation system business in carrying out, if not having,
Then enter step (3) and perform translation.
(3) again according to the information data of entity collected and business datum, following formula is used to obtain matching relationship:
If reaching height correlation rank according to result of calculation by the division of above three grade, then return translation result, if
It is not reaching to height correlation rank and is then considered as translation failure, enter step (4).
(4) enter the translation that the translation request of this step (4) cannot intelligent complete for program, need auditor determine from
The lower correlation matched in above-mentioned steps (3) or the candidate result of significant correlation determine select which bar mapping relations result.
Or the mapping relations that auditor knows according to given data or other approach are specified.
Finally, translation result is assembled result data according to translation protocol and returns to the business system of request by relation translation engine
In system, the operation system conversion entity identity of request, continues follow-up business operation.
Translation protocol define present system external translation interface specification, including: request translation data form,
Request method, the requirement such as Parameter specifications；And the data form of the feedback system of translation result, feedback, the message semantic definition of feedback
Deng requirement.
By multiple terminals data collection and the relation converting system of the present invention, workflow can be simplified, save manpower, raising
Work efficiency, such as: the when that business personnel processing trading order form contract, it is not necessary to know corresponding the opening of client of certain order
What ticket business corporation is, it is not required that know that the national regulation trade name that in order, the trade name correspondence of transaction is made out an invoice is
What, by multiple terminals data collection and the relation converting system of the present invention, can realize business object and commodity user, visitor
Automatically collecting and conversion of relationship map conversion between family, legal person, enterprise.
In sum, the present invention carries out data collection by distributed multiple terminals, and is obtained by rule match scheduling algorithm
Treating excess syndrome body mapping relations data, the automatic conversion of relationship entity when solving each operation system circulation in the Internet B2B platform
Problem, releases the operation of the manual intervention translation of manpower.
Embodiment described above is merely to illustrate technological thought and the feature of the present invention, in its object is to make this area
Technical staff will appreciate that present disclosure and implement according to this, it is impossible to only limit the patent model of the present invention with the present embodiment
Enclose, the most all equal changes made according to disclosed spirit or modification, still fall in the scope of the claims of the present invention.
Claims (5)
1. a multiple terminals data collection and relation converting system, it is characterised in that including:
Service controll end, is used for issuing data pull order, resolves and bind the relation between entity, and translation of dealing with relationship please
Ask；
Described Service controll end includes an interface service module, for transmitting translation request and the information of translation result；
Described Service controll end includes a relation management module, for providing entity mapping relations data on Service controll end
Inquiry and service user interface；
Proxy terminal, for receiving the data pull order of Service controll end and carrying out data acquisition, feedback result gives service control
End processed；
Relation translation engine, for storing the entity mapping relations data mated, and provides the translation service of entity to industry
Business system is called；
Described Service controll end is connected with multiple last phases of acting on behalf of, and described each proxy terminal and an operation system are connected, institute
Stating relation translation engine to be connected with interface service module, described interface service module is connected with multiple operation systems；
Described proxy terminal gather data also sends Service controll end to, and described Service controll end receives the number that proxy terminal transmits
According to and produce entity mapping relations data, described Service controll end sends entity mapping relations data to relation translation engine；
Described operation system sends translation and asks to interface service module, and described interface service module sends translation request to relation and turns over
Translating engine, translation result is sent to interface service module by described relation translation engine, and translation is tied by described interface service module
Fruit sends operation system to.
A kind of multiple terminals data collection the most according to claim 1 and relation converting system, it is characterised in that produce and deposit
Entity mapping relations data at least comprise the following steps:
Step 1, described Service controll end actively issues data pull order to each proxy terminal, described data pull order bag
Include information data and the business datum pulling an entity；
Step 2, described proxy terminal receives the data pull order that Service controll end issues, carries out collection and the loading of data,
And serialize and the data of compression collection, the data after serializing and compress send Service controll end to；
Step 3, Service controll end receives information data and the business datum of the entity that proxy terminal transmits, reflects according to entity relationship
Penetrate the algorithm of rule and similarity, calculate the matching relationship that weighted value is the highest, and close as the mapping finally determined
System；
Step 4, the entity mapping relations data that Service controll end will eventually determine send relation translation engine to and store.
A kind of multiple terminals data collection the most according to claim 1 and relation converting system, it is characterised in that produce and deposit
Storage entity mapping relations data at least comprise the following steps:
Step 1, the business datum situation of described proxy terminal real-time monitoring business system, when there being new business datum to produce,
Proxy terminal collects data and the information data of related entities that business relations occur, and sends Service controll end to；
Step 2, Service controll end receives the data that proxy terminal transmits, and resolves it, maps rule according to entity relationship
Then with the algorithm of similarity, calculate the matching relationship that weighted value is the highest, and as the mapping relations finally determined；
Step 3, the entity mapping relations data that Service controll end will eventually determine send relation translation engine to and store.
A kind of multiple terminals data collection the most according to claim 1 and relation converting system, it is characterised in that entity maps
The transmission of relation data at least comprises the following steps:
Step 1, operation system, in work flow, needs to translate into certain entity the entity of operation system, then translation is asked
Send interface service module to；
Step 2, interface service module receives translation request and translation request sends to relation translation engine, and relation translation is drawn
Hold up and perform translation, search entity mapping relations data；
Step 3, translation result is assembled result data according to translation protocol and returns to the operation system of request by relation translation engine
In；
Step 4, the operation system conversion entity identity of request, continues follow-up business operation.
5. according to a kind of multiple terminals data collection described in Claims 2 or 3 and relation converting system, it is characterised in that foundation
Entity relationship mapping ruler and the algorithm of similarity, the concrete steps calculating the highest matching relationship of weighted value include:
According to the information data of entity collected and business datum, following formula is used to obtain matching relationship:
Wherein, X variable is the entity object needing translation, and Y variable is information data and the business datum of the entity needing translation；
R (X, Y) is X variable and the correlation coefficient of Y variable ,-1≤r≤+ 1.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610635629.2A CN106294669B (en) | 2016-08-05 | 2016-08-05 | A kind of multiple terminals data collection and relationship converting system and method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610635629.2A CN106294669B (en) | 2016-08-05 | 2016-08-05 | A kind of multiple terminals data collection and relationship converting system and method |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN106294669A true CN106294669A (en) | 2017-01-04 |
| CN106294669B CN106294669B (en) | 2019-06-04 |
Family
ID=57665642
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201610635629.2A Active CN106294669B (en) | 2016-08-05 | 2016-08-05 | A kind of multiple terminals data collection and relationship converting system and method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN106294669B (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112765247A (en) * | 2021-01-04 | 2021-05-07 | 光大兴陇信托有限责任公司 | Interface metadata management method, device and equipment based on hybrid mapping |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101277206A (en) * | 2007-03-27 | 2008-10-01 | 华为技术有限公司 | Service triggering system, method as well as service interactive functional entity |
| CN102447733A (en) * | 2010-10-12 | 2012-05-09 | Sap股份公司 | Business network management |
| US8655876B2 (en) * | 2007-11-30 | 2014-02-18 | Red Hat, Inc. | Methods and systems for classifying data based on entities related to the data |
| CN104267974A (en) * | 2014-10-22 | 2015-01-07 | 新华瑞德（北京）网络科技有限公司 | Method and device for calling business interface |
-
2016
- 2016-08-05 CN CN201610635629.2A patent/CN106294669B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101277206A (en) * | 2007-03-27 | 2008-10-01 | 华为技术有限公司 | Service triggering system, method as well as service interactive functional entity |
| US8655876B2 (en) * | 2007-11-30 | 2014-02-18 | Red Hat, Inc. | Methods and systems for classifying data based on entities related to the data |
| CN102447733A (en) * | 2010-10-12 | 2012-05-09 | Sap股份公司 | Business network management |
| CN104267974A (en) * | 2014-10-22 | 2015-01-07 | 新华瑞德（北京）网络科技有限公司 | Method and device for calling business interface |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112765247A (en) * | 2021-01-04 | 2021-05-07 | 光大兴陇信托有限责任公司 | Interface metadata management method, device and equipment based on hybrid mapping |
| CN112765247B (en) * | 2021-01-04 | 2023-02-21 | 光大兴陇信托有限责任公司 | Interface metadata management method, device and equipment based on hybrid mapping |
Also Published As
| Publication number | Publication date |
|---|---|
| CN106294669B (en) | 2019-06-04 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US10909158B2 (en) | Method and apparatus for generating information | |
| CN107220353B (en) | Automatic satisfaction evaluation method and system for intelligent customer service robot | |
| CN111311107B (en) | Risk assessment method and device based on user relationship and computer equipment | |
| Kareem et al. | E-government and its impact on organizational performance | |
| CN111932135B (en) | Client risk identification method and device based on distributed database | |
| WO2022057108A1 (en) | Federated-learning-based personal qualification evaluation method, apparatus and system, and storage medium | |
| CN110019841A (en) | Construct data analysing method, the apparatus and system of debtor's knowledge mapping | |
| US20220368131A1 (en) | Capacity configuration method and system of energy storage in microgrid | |
| CN110489749A (en) | Intelligent Office-Automation System Work Flow Optimizing | |
| CN108846739A (en) | A kind of credit and debt application method and system | |
| CN112966914B (en) | Intelligent quality control method for assembled transformer substation based on GIM-5D | |
| CN107977855A (en) | A kind of method and device of managing user information | |
| CN106294669A (en) | A kind of multiple terminals data collection and relation converting system and method | |
| CN110288465A (en) | Object determines method and device, storage medium, electronic device | |
| CN113361959A (en) | Method and device for calculating maturity of centralized operation of banking business | |
| CN107220721B (en) | Booking and bargaining method and system supported by multiple intelligent agents | |
| CN110991920A (en) | Method and system for quickly defining index based on big data platform | |
| CN116361367A (en) | Content identification system and method for efficiently publishing recruitment information | |
| KR101545998B1 (en) | Method for Management Integration of Runoff-Hydraulic Model Data and System thereof | |
| Kester et al. | Business intelligence adoption in developing economies: a case study of Ghana | |
| CN113779136B (en) | Knowledge-graph-based debt collection object determining method and device and electronic equipment | |
| Sagarra et al. | Assessing the asymmetric effects on branch rivalry of Spanish financial sector restructuring | |
| Guo | The data analytics of finance impact on the rural development combining financial constraint and economic growth theory | |
| CN106777092A (en) | The intelligent medical calling querying method of dynamic Skyline inquiries under mobile cloud computing environment | |
| CN107590618A (en) | Workload demand response model based on consumer psychology under Spot Price background |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| TA01 | Transfer of patent application right | ||
| TA01 | Transfer of patent application right |
Effective date of registration: 20190108 Address after: 200233 Block A, Room 501, 12 Block 1001 Qinzhou North Road, Xuhui District, Shanghai Applicant after: Shanghai Moku Data Technology Co.,Ltd. Address before: Room 6020, 6th floor, No. 399 Fute North Road, Pudong New Area Free Trade Pilot Area, Shanghai, 2001 Applicant before: MOLBASE (SHANGHAI) BIOTECHNOLOGY CO.,LTD. |
|
| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| TR01 | Transfer of patent right | ||
| TR01 | Transfer of patent right |
Effective date of registration: 20240308 Address after: Unit 901-2, No. 57 Chengyi North Street, Software Park Phase III, Jimei District, Xiamen City, Fujian Province, 361000 Patentee after: Xiamen Baoyi Intelligent Technology Co.,Ltd. Country or region after: China Address before: 200233 Block A, Room 501, 12 Block 1001 Qinzhou North Road, Xuhui District, Shanghai Patentee before: Shanghai Moku Data Technology Co.,Ltd. Country or region before: China |