CN110019399A - Intelligence relationship circle dynamic flexible analysis system and method - Google Patents
Intelligence relationship circle dynamic flexible analysis system and method Download PDFInfo
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Abstract
The invention discloses a kind of intelligence relationship circle dynamic flexible analysis system and methods.The system includes data source configuration module, tables of data AM access module, literary name section attribute configuration module, entity type definition module, entity type relating module, attribute dictionary management module, intelligent analysis module, service database, system configuration base and intellectual analysis correlation database.The system is based on data, there is the entity type of classification concept by being arranged, flexibly implement the association of different entities type, around someone or something, associated party or relationship object are constantly discovered, is moved in circles, the complex relationship group comprising people and object of formation, come the incidence relation between depth profiling person to person, people and object, the dynamic flexible analysis of implementation relation circle with this.
Description
Technical field
The invention mainly relates to a kind of relation loop analysis methods based on whole industry data, more particularly to one kind to be based on entity
The data analysis mining system and method for the dynamic flexible combination of type.
Background technique
With being constantly progressive for human society science and technology, the fast development of Internet technology, computer technology, each
Industry, government department all have accumulated a large amount of, multiple types data, and the dispersion of these data stores and relevance is poor.How to this
A little data are quickly integrated, and are served as theme with personage and are quickly analyzed, with this find person to person, people and object and object and object it
Between direct or indirect incidence relation, be current urgent problem.
In order to solve these problems, occur a variety of Data Integration analysis systems on Vehicles Collected from Market, for example aggregation of data is looked into
Inquiry system, data association analysis system, attribute extraction system etc., however these systems are being configured from the background, need profession
Personnel could complete, and a line service personnel not can be used directly business datum at all and carry out business development work, therefore this kind of number
The actual demand of business cannot be met very well according to applied analysis system.
Due to the above problems, the present inventor studies and divides to the relevant technologies such as data confluence analysis systems
Analysis easy can access multiple data sources to expect to develop, make layman can flexibly, quickly by shirtsleeve operation
The data in multiple data sources are associated, the dynamic analysis of implementation relation circle (specifically include person to person, people and object, object
Between object dynamic relationship analysis) intelligence relationship circle dynamic flexible analysis system and method.
Summary of the invention
In order to overcome the above problem, present inventor has performed sharp studies, design a kind of intelligence relationship circle dynamic flexible
Analysis system manages data source information by setting data source configuration module in the system, is attached with multiple data sources, just
It is flexibly called in multiple data sources；It is carried out in table by database table of the setting literary name section attribute configuration module to access
Field identification, and field in database table is subjected to attribute configuration operation, by respective field (the name side in disparate databases table
Formula is different but message form is identical) it is labeled as same alike result, it is associated with convenient for follow-up data；By the way that entity type definition module is arranged
It is entity type by a kind of things (present invention is database table) abstract definition, is built in advance by the way that entity type relating module is arranged
The incidence relation between entity type is erected, at this point, a line service personnel mutually can associated entity type by arbitrarily pulling
The incidence relation between depth profiling person to person, people and object can be realized；Thereby completing the present invention.
The purpose of the present invention is to provide following technical schemes:
(1) a kind of intelligence relationship circle dynamic flexible analysis system, the system include data Layer 1, application layer 2 and represent layer 3；
Wherein, application layer 2 includes:
Data source configuration module 21: it is as Data connection module, for managing data source information, by transmitting data source
Information connect tables of data AM access module 22 with service database 11 to tables of data AM access module 22；
Tables of data AM access module 22: it is as management data table module, by receiving the transmission of data source configuration module 21
Data source information obtains the table essential information of tables of data in service database 11 to connect service database 11, and transmits table base
This information is to literary name section attribute configuration module 23 and entity type definition module 24；
Literary name section attribute configuration module 23: it receives the table essential information that tables of data AM access module 22 is transmitted, and obtains corresponding
Literary name segment information in tables of data, and the respective field in configuration data table has the natural quality of setting, wherein natural quality
Refer to attribute possessed by field essence；
Entity type definition module 24: the table essential information that tables of data AM access module 22 transmits is received, by service database
One in 11 or a kind of tables of data abstract definition are corresponding entity type；
Entity type relating module 25: it passes through entity type as the incidence relation configuration module between entity type
External relating attribute set up the incidence relation between entity type in advance, be that intelligent analysis module 31 mentions each entity type
Basis and rule for flexible association；
Represent layer 3 includes:
Intelligent analysis module 31: on the basis of entity type relating module 25, tissue is carried out between entity type for it
Association, obtains entity type association results under the support of data in data Layer (1).
(2) a kind of intelligence relationship circle dynamic flexible analysis method, method includes the following steps:
Step 1, data source information is managed by data source configuration module 21, transmission data source information to tables of data accesses mould
Block 22 connect tables of data AM access module 22 with service database 11；
Step 2, tables of data AM access module 22 is by receiving the data source information of the transmission of data source configuration module 21 to connect
Service database 11, obtains the table essential information of tables of data in service database 11, and transmits table essential information to literary name section category
Property configuration module 23 and entity type definition module 24；
Step 3, the table essential information that tables of data AM access module 22 is transmitted is received by literary name section attribute configuration module 23, obtained
The literary name segment information in corresponding data table is obtained, and the respective field in configuration data table has the natural quality of setting, wherein from
Right attribute refers to attribute possessed by field essence；
Step 4, the table essential information that tables of data AM access module 22 transmits is received by entity type definition module 24, by industry
One be engaged in database 11 or a kind of tables of data abstract definition are corresponding entity type, and determine the external of entity type
The entity type information of management is sent to entity type relating module 25 by relating attribute；
Step 5, entity type relating module 25 sets up entity type by the external relating attribute of entity type in advance
Between incidence relation, implement association between each entity type for intelligent analysis module 31 and data supporting be provided；
Step 6, on the basis of entity type relating module 25, by intelligent analysis module 31, organization object's type it
Between be associated, entity type association results are obtained under the support of data in data Layer 1.
A kind of intelligence relationship circle dynamic flexible analysis system and method provided according to the present invention has below beneficial to effect
Fruit:
The first, the intelligence relationship circle dynamic flexible analysis system provided according to the present invention, by being abstracted to database table,
Database table is abstracted as entity type, is the high level overview to the things of objective reality, the concept with class is easy to understand
Meanwhile it being elevated using theory.
The second, the intelligence relationship circle dynamic flexible analysis system provided according to the present invention, passes through the pass between entity type
The opposite solidification of system (backstage configures) had not only indicated the objective connection between things, but also rationally application lays the foundation for business, and some is put
Arrow, acts freely.
Third, the most intuitive benefit of the present invention are the simplification of application operating, and user is interior between data without being concerned about
In relevance (opposite solidification between entity type), business only need to be paid close attention to, attention is embodied a concentrated reflection of and shows level, it is real
It is substantially improved with property, operability；Application operating is more flexible simultaneously, subjective initiative can be given full play of, in bottom number
According to support under, quickly obtain the association results of entity type.
Detailed description of the invention
The structure that Fig. 1 shows a kind of intelligence relationship circle dynamic flexible analysis system of preferred embodiment according to the present invention is shown
It is intended to；
Fig. 2 shows a kind of system configuration bases of the intelligence relationship circle dynamic flexible of preferred embodiment according to the present invention analysis
Data information schematic diagram；
Fig. 3 shows a kind of process of the intelligence relationship circle dynamic flexible analysis method of preferred embodiment according to the present invention
Figure.
Drawing reference numeral explanation:
1- data Layer
2- application layer
3- represent layer
11- service database
12- system configuration base
13- intellectual analysis correlation database
21- data source configuration module
22- tables of data AM access module
23- literary name section attribute configuration module
24- entity type definition module
25- entity type relating module
26- attribute dictionary management module
31- intelligent analysis module
Specific embodiment
Below by drawings and examples, the present invention is described in more detail.Illustrated by these, the features of the present invention
It will be become more apparent from advantage clear.
Dedicated word " exemplary " means " being used as example, embodiment or illustrative " herein.Here as " exemplary "
Illustrated any embodiment should not necessarily be construed as preferred or advantageous over other embodiments.Although each of embodiment is shown in the attached drawings
In terms of kind, but unless otherwise indicated, it is not necessary to attached drawing drawn to scale.
In a first aspect, the intelligence relationship circle dynamic flexible analysis system provided according to the present invention, as shown in fig. 1, this point
Analysis system includes data Layer 1, application layer 2 and represent layer 3；
Wherein, application layer 2 includes:
Data source configuration module 21: it is as Data connection module, for managing data source information, by transmitting data source
Information connect tables of data AM access module 22 with service database 11 to tables of data AM access module 22.Data source information is stored in
In Data source table, data source configuration module 21 is by adding, being deleted or modified the management of the complete paired data source information of mode.
Wherein, data source information be connect service database 11 (i.e. data source) configuration information, including data source name,
Data source identification, database access address (address ip), port numbers, user name, password and data source types, as shown in table 1.
Data source information in 1 Data source table of table
Tables of data AM access module 22 is attached with multiple service databases 11 by the way that data source configuration module 21 is arranged,
Convenient for flexibly being called to multiple service databases 11, so that tables of data AM access module 22 obtains number in multiple service databases
According to the table essential information of table.
In the present invention, make to establish connection between tables of data AM access module 22 and service database 11 by JDBC mode.
Tables of data AM access module 22: it is as management data table module, by receiving the transmission of data source configuration module 21
Data source information connects service database 11, obtains the table essential information of tables of data in service database 11, and it is basic to transmit table
Information is to literary name section attribute configuration module 23 and entity type definition module 24.Tables of data includes table essential information and literary name section
(or attribute) information.Table essential information is stored in access tables of data, and literary name segment information is stored in access field list,
In, table essential information includes data source identification, table name (table Chinese and table English name), table dominant language and table description
Deng as shown in table 2.
Table 2 accesses table essential information in tables of data
| Data source identification | Table Chinese | Table English name | Dominant language | Description |
| oracle1 | Personage | person | Chinese | |
| oracle2 | Qq information | qqInfo | Chinese | |
| mysql1 | Microblogging | Chinese |
Literary name section attribute configuration module 23: it receives the table essential information that tables of data AM access module 22 is transmitted, according to table base
Literary name segment information in this information acquisition corresponding data table, it is preferable that attribute configuration operation, management are carried out to the tables of data of access
Respective field in tables of data has the natural quality of setting.Natural quality refers to attribute possessed by field essence, such as sets
" ID " field in " character data table " has " ID number " attribute, and setting " phone " field has " cell-phone number " attribute, sets for another example
" ID " field in fixed " meter for vehicle " has " license plate number " attribute etc..There may be a large amount of inessential fields in tables of data,
Such as " occupied space size ", without configuring corresponding natural quality.
The literary name segment information of acquisition is stored in access field list by literary name section attribute configuration module 23, literary name section packet
Include tables of data mark, table name (table Chinese and table English name), field name (field Chinese+field English name
Claim), data type and field description etc., as shown in table 3.
Table 3 accesses literary name segment information in field list
Literary name section attribute configuration module 23 carries out attribute configuration to field, generates field attribute information and is stored in field category
In property allocation list.The field attribute information includes table name (table Chinese and table English name), field name (field Chinese name
Title+field English name), literary name segment identification and attribute serial number etc., as shown in table 4.
Field attribute information in 4 field attribute allocation list of table
In the present invention, the service database 11 is from a wealth of sources, and tables of data is many kinds of, respective field in multiple tables of data
(naming method is different but message form is identical) has different field names in different enterprises, such as enterprise staff information table
In, employee name's field is " employee name ", and customer name field is " VIP customer name " in customer information of bank table, right
Enterprise staff information table and customer information of bank table are associated, when finding identical personage, due to field name difference, respective field
Under record cannot be associated with.
In the prior art, the direct or indirect association between data (tables of data) (is had by chief element
The chief attribute field of same alike result) be associated；Association between entity be based on actual business datum,
It establishes association in advance by manual operation, but has the following deficiencies: the flexibility in view of data application, it is between entity and main
The slightly aobvious complexity of the configuration process of key element if the association between specific entity is established in manual operation in advance, rather than is arranged and closes
Connection rule, limits the diversity incidence relation of entity；And be different in the chief element very maximum probability of each tables of data,
It needs to be arranged complex rule to be allowed to be associated with, flexibility reduces.
Based on the above issues, the present inventor sets the respective field in each tables of data by literary name section attribute configuration module 23
Identical attribute is set, the association of different data table is carried out using the field with same alike result, it such as will be in enterprise staff information table
Field " employee name " configuration " name " attribute, by field in customer information of bank table " VIP customer name " configuration " name "
Attribute, at this point, enterprise staff information table can be convenient by being associated with the field with " name " attribute with customer information of bank table
Identical or related personnel the analysis of progress.
The setting of literary name section attribute configuration module 23, greatly simplifies in the prior art to the flexible of data in the present invention
Comparative analysis can fast implement the association of information in multi-data source tables of data.Furthermore, it is possible to directly by this association, automatically
Realize that the unlimited downward extension of data shows that the automaticdata that all tables of data may be implemented is associated with (by with same alike result
Field realize).
Present invention technical effect to be achieved includes allowing to allow the business personnel for not having code capacity by simply grasping
The incidence relation between depth profiling person to person, people and object can be realized.However, the tables of data in each field disparate databases
Table name is different, is difficult that business personnel is allowed to understand the information to be expressed in each tables of data, business personnel cannot pass through table name spirit
The association of field in the multiple tables of data of progress living.
For these reasons, the tables of data abstract definition in service database 11 is entity type by the present invention.Specifically,
It by the tables of data abstract definition in service database 11 is entity type by setting entity type definition module 24, and as being
It unites most basic module, manages all entity types.It specifically, can be one by a tables of data or a kind of data table definitions
A entity type, is perhaps defined as multiple homologous entity types for a tables of data or is more by a kind of data table definitions
A homologous entity type.The multiple homologous entity type data origin information having the same and data table information, but
With different external relating attributes.One entity type or a homologous entity type are abstracted to a kind of things.
Entity type definition module 24 calls field attribute configuration table, obtains the field attribute information of corresponding data table, takes out
Take the one or more field attributes high with entity type correlation as entity attribute, the high field attribute of the correlation is (real
Body attribute) main information of entity type definition module can be expressed.Each entity type can share entity attribute, such as common
The entities categories such as identification card number (ID number), passport, name, gender, age, household register address, cell-phone number can be set in people's entity type
Property；For another example the entities categories such as license plate number, engine model, brand, buyer's name, buyer's ID number can be set in vehicle entity type
Property；For another example the entity attributes such as QQ account number, cell-phone number can be set in QQ entity type；For another example microblogging entity type can be set micro-
The entity attributes such as rich account number, cell-phone number.
In a preferred embodiment, the entity attribute that entity type definition module 24 has each entity type
Classify, is divided into chief attribute and essential attribute, chief attribute is for distinguishing the entity type and other entities
Type is main determinant attribute, other entity categories as ordinary people's entity type can specify identification card number (ID number) or passport
Property is essential attribute；Vehicle entity type can specify license plate number as the chief attribute for being different from other entity types,
Other entity attributes are essential attribute；QQ entity type can specify QQ account number as chief attribute；Microblogging entity type
Microblogging account number be can specify as chief attribute.
In a preferred embodiment, entity type definition module 24 is arranged externally association to each entity type and belongs to
Property, the incidence relation between making entity type relating module 25 establish different entities type by external relating attribute.Further,
Entity type definition module 24 can be by one in service database 11 or a kind of tables of data abstract definition is multiple homologous realities
Body type, it is homologous to refer to that entity type is abstract multiple homologous from a tables of data or a kind of tables of data as a whole, imparting
Entity type with different external relating attributes, the external association enriched (is equivalent to by different external relating attributes
Attribute) to realize the bigger possible relevance between non-homogeneous entity type.
Entity type definition module 24 obtains entity type information, entity class after tables of data is carried out abstract and attributive classification
Type information is stored in entity type and defines in table.Entity type information includes Entity Type Name, chief attribute, basic category
Property, external relating attribute and mapping data table name etc., wherein chief attribute and essential attribute are externally associated with without intersection
Attribute is identical as chief attribute or belongs to essential attribute.Entity type definition module 24 is by adding, being deleted or modified
Mode completes the management to entity type.
5 entity type of table defines entity type information in table
Entity type relating module 25: it belongs to matching for basis as the incidence relation configuration module between entity type
It sets, expression is certain objectively direct connection between things, is built in advance by the external relating attribute of entity type
The incidence relation between entity type is erected, provides cured reasonable associated entity type for business personnel.Such as it is " general
Logical people " entity type can be associated with " QQ " entity type by " cell-phone number " external relating attribute between the two；It is " common
People " entity type can be associated with " microblogging " entity type by " cell-phone number " external relating attribute between the two；"QQ"
Entity type can be associated with " microblogging " entity type by " cell-phone number " external relating attribute between the two；" ordinary people "
Entity type can be associated with " vehicle " entity type by " cell-phone number " external relating attribute between the two, for another example commonly
People and specific object, can associate between object and object.
Entity type relating module 25 obtains entity type related information, entity type after entity type is carried out pre-association
Related information is stored in entity type contingency table.It is subsequent intelligence that entity type relating module 25, which obtains entity type related information,
Energy analysis module 31 provides basis and the rule of flexible association to each entity type, limits the associated feasibility of entity type.Its
In, entity type related information includes Entity Type Name A, associated entity typonym B and relating attribute etc., as shown in table 6.
Entity type related information in 6 entity type contingency table of table
| Entity type A | Associated entity type B | Relating attribute |
| Ordinary people | Cell-phone number | |
| Ordinary people | Microblogging | Cell-phone number |
| Microblogging | Cell-phone number |
The setting of entity type relating module 25 had both indicated the objective connection between things, by each entity type pre-connection
Get up, and for business, rationally application lays the foundation, and simplifies the Operating Complexity of business personnel, the person of being more convenient to operate uses.
In the present invention, the application layer 2 further includes attribute dictionary management module 26, and the attribute dictionary management module 26 is made
For basic dictionary, for the natural quality that field in management data list is supported, such as ID number, cell-phone number, QQ account number, microblog account
Equal attributes.
Attribute dictionary management module 26 generates attribute information, and the attribute information includes attribute serial number and Property Name etc.,
The attribute information is stored in attribute dictionary, and attribute information is as shown in table 7 in attribute dictionary.
Attribute information in 7 attribute dictionary of table
| Attribute serial number | Property Name | Attribute serial number | Property Name |
| 1 | ID number | 5 | Cell-phone number |
| 2 | Name | 6 | The pet name |
| 3 | QQ account number, | 7 | License plate number |
| 4 | Microblog account | …… | …… |
When literary name section attribute configuration module 23 carries out attribute configuration to field in tables of data, attribute dictionary management module is called
26, attribute information is obtained, attribute configuration is implemented, is i.e. attribute dictionary management module 26 provides attribute to field in tables of data and supports.
In the present invention, represent layer 31 includes:
Intelligent analysis module 31: it is needed on the basis of entity type relating module 25 according to actual business, can be with
It under the operation of business personnel, is associated between random organization object's type, the dynamic flexible configuration of implementation relation circle obtains
Entity type association results.Entity type association results are shown in a manner of table or figure.Table can be into after showing
Row is arranged the operation such as sort, screen scope of statistics, be further associated with statistical result, reciprocal progress by statistics；For graphical display
It can intuitively be shown according to line chart etc..Intelligent analysis module 31 can satisfy the subjective initiative for giving full play to people, carry out deep
Level excavates, so that business personnel can be helped business personnel to adjust analysis strategy, be made correct decisions with inductive reasoning.
By dynamic flexible with postponing, intelligent analysis module 31 is according to bottom data (service database 11 and system configuration
The data stored in library 12), by practice examining repeatedly, the dynamic configuration rule of relation loop is constantly improve, with the time
Passage, it is opposite to solidify more service application cases, strong business support is provided, without professional data knowledge, very
Just reaching quick, the convenient application of data and business.
In the present invention, data Layer 1 includes:
Service database 11: for the database of enterprise, the business information of enterprise, including enterprise staff information, pin are stored with
Sell the Various types of data information such as information, product information.There is no restriction for the type of service database 11 in the present invention, service database 11
It supports various common types, can be Oracle, mysql or DB2 database etc..Field involved in service database 11
Without specifically limited, service database 11 can be household register information database, employee information database, micro-blog information database, QQ
Information database and vehicle information database etc..The service database 11 that data source configuration module 21 accesses can be one or more
It is a, the practicability of analysis system is improved since the service database of application is in extensive range selected from any of the above-described database.
Wherein, household register information database mainly stores somewhere population household register essential information, including name, identification card number,
Gender, date of birth, address, record date etc., as table 8 shows:
8 household register information table of table
| Name | ID | Gender | Date of birth | Address | Record date |
| Zhang San | 110120198703020001 | Male | 19870302 | Haidian District Shangdi | 1987-04-02 |
| King five | 110120198503030002 | Male | 19850303 | Tongzhou District theatre | 1985-04-03 |
| Money two | 110120198805040003 | Female | 19880504 | The inner village in Chaoyang District three | 1988-06-04 |
| …… |
Employee information database mainly stores certain company personnel's information, including name, identification card number, gender, address, registration
Time, contact method etc., as shown in table 9:
9 employee information table of table
| Name | ID | Gender | Address | Hiring date | Contact method |
| Li Si | 110120198708020111 | Male | Tongzhou District Ba Liqiao | 2010-02-15 | 15155556666 |
| Zhao great | 110120197503030202 | Male | Daxing District Yi Zhuang | 2011-06-07 | 13811112222 |
| Money two | 110120198805040003 | Female | The inner village in Chaoyang District three | 2012-09-04 | 18922223333 |
| …… |
Micro-blog information database mainly stores microblogging registration information, including microblogging number, the pet name, gender, registion time, connection
Mode, mailbox etc., as shown in table 10.
10 micro-blog information table of table
| Microblogging number | The pet name | Gender | Registion time | Contact method | Mailbox |
| 1295847 | The falling of one leaf heralds the autumn | Male | 2005-01-05 | 15133336666 | 15133336666@qq.com |
| 3860284 | Rainbow | Female | 1999-04-03 | 13877770000 | 13877770000@163.com |
| 4820682 | Superman | Female | 2011-06-06 | 18922223333 | 18922223333@126.com |
| …… |
QQ information database mainly stores QQ registration information, including No. qq, the pet name, gender, registion time, contact method,
Mailbox etc., as shown in table 11.
Table 11QQ information table
| No. qq | The pet name | Gender | Registion time | Contact method | Mailbox |
| 112397850 | King king | Male | 2004-11-15 | 15844445555 | 158444455556@qq.com |
| 392068492 | Grandson grandson | Female | 1997-06-04 | 13966660000 | 13966660000@163.com |
| 183498376 | Money money | Female | 2012-07-08 | 18922223333 | 18922223333@126.com |
| …… |
Vehicle information database mainly stores vehicle registration information, including ID number, owner name, gender, registion time, hair
It send and model and contact method etc., such as table 12.
12 information of vehicles table of table
| ID | Owner name | Gender | Registion time | Engine model | Contact method |
| Capital B F4357 | Wang Yi | Male | 2005-11-05 | CEN | 15133336666 |
| Capital P AQ368 | Grandson three | Female | 2009-12-03 | EA113(BJZ) | 13877770000 |
| Capital J P7891 | Money two | Female | 2013-10-06 | CPJ/(EA1 11)/CDE | 18922223333 |
| …… |
System configuration base 12: it is to data information for generating inside storage system, as shown in Figure 2: including Data source table,
Access tables of data, access field list, field attribute allocation list, entity type define table, entity type contingency table and attribute word
Allusion quotation etc.；Above-mentioned data information table provides data when the system runs for system and supports.
The data Layer 1 can also include intellectual analysis correlation database 13, pass through to storage service personnel (operator)
Intelligent analysis module 31 configures the entity type association results come.For example, by 9 employee information table of table it is abstract obtain it is " common
People " entity type and abstract obtained " QQ " entity type of table 11QQ information table are with the attribute " cell-phone number " of field " contact method "
It is associated as external relating attribute, the entity type association results configured, as shown in table 13:
13 entity type association results of table
In a preferred embodiment, entity type association results in a tabular form storing data when, can be with reality
Body type association result is connect as data source with tables of data AM access module, and further data information association is carried out after access.
Another aspect of the present invention, as shown in figure 3, providing a kind of intelligence relationship circle dynamic flexible analysis method, this method
The following steps are included:
Step (1) manages data source information by data source configuration module 21, and transmission data source information to tables of data accesses
Module 22 connect tables of data AM access module 22 with service database 11；
Step (2), tables of data AM access module 22 is by receiving the data source information of the transmission of data source configuration module 21 to connect
Service database 11 is connect, the table essential information of tables of data in service database 11 is obtained, and transmits table essential information to literary name section
Attribute configuration module 23 and entity type definition module 24；
Step (3) receives the table essential information that tables of data AM access module 22 is transmitted by literary name section attribute configuration module 23,
The literary name segment information in corresponding data table is obtained, and the respective field in configuration data table has the natural quality of setting, wherein
Natural quality refers to attribute possessed by field essence；
Step (4) receives the table essential information that tables of data AM access module 22 transmits by entity type definition module 24, will
One in service database 11 or a kind of tables of data abstract definition are corresponding entity type, and pair of entity type is arranged
The entity type information of management is sent to entity type relating module 25 by outer relating attribute；
Step (5), entity type relating module 25 set up entity class by the external relating attribute of entity type in advance
Incidence relation between type, association provides data supporting between implementing each entity type for intelligent analysis module 31；
Step (6) passes through intelligent analysis module 31, organization object's type on the basis of entity type relating module 25
Between be associated, entity type association results are obtained under the support of data in data Layer 1.
Embodiment
1, service database: household register information database, employee information database, micro-blog information database, QQ information data
Library and train data library, wherein include in household register information database household register information table (table 8)；Include in employee information database
Employee information table (table 9)；Micro-blog information database includes micro-blog information table (table 10)；QQ information database includes QQ information table
(table 11)；Include in train data library train information table (table 14)；
2, data source configuration module management household register information database, employee information database, micro-blog information database, QQ letter
The data source information of database and train data library is ceased, and is sent to tables of data AM access module；
3, tables of data AM access module is connected by JDBC mode with service database；Tables of data AM access module is respectively connected to family
Nationality information table, employee information table, micro-blog information table, QQ information table and train information table obtain the table essential information of five tables simultaneously
It is transmitted to literary name section attribute configuration module；
4, literary name section attribute configuration module: the literary name segment information in above-mentioned five tables of data is obtained, and to the data of access
Table carries out attribute configuration:
(i) in household register information table: field " name " configuration " name " attribute；Field " ID " configuration " ID number " attribute；Field
" gender " configuration " gender " attribute；Field " date of birth " configuration " date of birth " attribute；Field " address " configuration " address "
Attribute；
(ii) in employee information table: field " name " configuration " name " attribute；Field " ID " configuration " ID number " attribute；Field
" gender " configuration " gender " attribute；Field " address " configuration " address " attribute；Field " hiring date " configuration " hiring date "
Attribute；Field " contact method " configuration " cell-phone number " attribute；
(iii) in micro-blog information table: field " microblogging number " configuration " microblog account " attribute；Field " pet name " configuration " pet name "
Attribute；Field " gender " configuration " gender " attribute；Field " registion time " configuration " microblogging registion time " attribute；Field " connection
Mode " configuration " cell-phone number " attribute；Field " mailbox " configuration " mailbox user name " attribute；
(iv) in QQ information table: field " No. qq " configuration " QQ account " attribute；Field " pet name " configuration " pet name " attribute；Word
Section " gender " configuration " gender " attribute；Field " registion time " configuration " QQ registion time " attribute；Field " contact method " configuration
" cell-phone number " attribute；Field " mailbox " configuration " mailbox user name " attribute；
(v) in train information table: field " name " configuration " name " attribute；Field " ID " configuration " ID number " attribute；Field
" travel time " configuration " travel time " attribute；Field " shift " configuration " train shift " attribute；Field " section by bus " configuration
" section by bus " attribute.
5, entity type definition module: household register information table is defined as " ordinary people " entity type by (i), and ID number is main closes
Key attribute, name are external relating attribute；
(ii) employee information table table is defined as " employee " entity type, ID number is main determinant attribute, and name is external
Relating attribute；
(iii) micro-blog information table is defined as " microblogging " entity type, microblog account is main determinant attribute, and cell-phone number is
External relating attribute；
(iv) QQ information table is defined as " QQ " entity type, QQ account is main determinant attribute, and cell-phone number is externally to close
It is attribute；
(v) train information table is defined as entity type " by bus ", ID number is main determinant attribute, and cell-phone number is externally to close
It is attribute.
6, the following rule of entity type relating module setting: can with any entity type that " name " is external relating attribute
It is associated；It can be associated with any entity type that " cell-phone number " is external relating attribute.
7, intelligent analysis module is pulled according to people and is indicated, " ordinary people " entity type and " employee " entity type are closed
Connection obtains entity type association results, is shown in Table 15, and be stored into intellectual analysis correlation database.
8, intellectual analysis correlation database data source information is sent to tables of data AM access module, tables of data by data source configuration module
AM access module acquisition table essential information is simultaneously transmitted to literary name section attribute configuration module；Literary name section attribute configuration module obtains in table
Literary name segment information carries out attribute configuration.Entity type association results table is defined as " target person " in fact by entity type definition module
Body type, ID number are main determinant attribute, and cell-phone number is external relating attribute.
9, intelligent analysis module is pulled according to people and is indicated, " target person " entity type and " by bus " entity type are closed
Connection obtains entity type association results, is shown in Table 16, and be stored into intellectual analysis correlation database.
It, can be by transferring entity class " by bus " due to " target person " entity type data relevant with " by bus " entity type
Tables of data in type data source obtains the same pedestrian with " target person money two "；Can also further using this with pedestrian information as clue,
It repeats steps 2 through 7 and carries out information association, expand relation loop.
14 train information table of table
| Name | ID | Travel time | Shift | Section by bus |
| Li Si | 110120198708020111 | 2017-08-15 | G3224 | Hangzhou-Beijing |
| Zhao great | 110120197503030202 | 2017-11-10 | G3224 | Hangzhou-Beijing |
| Money two | 110120198805040003 | 2017-11-10 | G3224 | Hangzhou-Beijing |
| …… |
Table 15 " ordinary people "-" employee " entity type association results table
Table 16 " target person "-" by bus " entity type association results table
Combining preferred embodiment above, the present invention is described, but these embodiments are only exemplary
, only play the role of illustrative.On this basis, a variety of replacements and improvement can be carried out to the present invention, these each fall within this
In the protection scope of invention.
Claims (10)
1. a kind of intelligence relationship circle dynamic flexible analysis system, which is characterized in that the system includes data Layer (1), application layer (2)
With represent layer (3)；
Wherein, application layer (2) includes:
Data source configuration module (21): it is as Data connection module, for managing data source information, passes through transmission data source letter
Breath connect tables of data AM access module (22) with service database (11) to tables of data AM access module (22)；
Tables of data AM access module (22): it is as management data table module, by receiving data source configuration module (21) transmission
Data source information obtains the table essential information of tables of data in service database (11) to connect service database (11), and transmits
Table essential information is to literary name section attribute configuration module (23) and entity type definition module (24)；
Literary name section attribute configuration module (23): its table essential information for receiving tables of data AM access module (22) transmitting obtains corresponding
Literary name segment information in tables of data, and the respective field in configuration data table has the natural quality of setting, wherein natural quality
Refer to attribute possessed by field essence；
Entity type definition module (24): the table essential information of tables of data AM access module (22) transmission is received, by service database
(11) one in or a kind of tables of data abstract definition are corresponding entity type；
Entity type relating module (25): it passes through entity type as the incidence relation configuration module between entity type
External relating attribute sets up the incidence relation between entity type in advance, is that intelligent analysis module (31) mentions each entity type
Basis and rule for flexible association；
Represent layer (3) includes:
Intelligent analysis module (31): on the basis of entity type relating module (25), tissue is carried out between entity type for it
Association, obtains entity type association results under the support of data in data Layer (1).
2. intelligence relationship circle dynamic flexible analysis system according to claim 1, which is characterized in that entity type defines mould
The field attribute information that block (24) is generated by obtaining literary name section attribute configuration module (23) extracts high with entity type correlation
Field attribute as entity attribute, the high field attribute of the correlation can express the main letter of entity type definition module
Breath；
The entity attribute that entity type definition module (24) has each entity type is classified, and chief attribute is divided into
And essential attribute, chief attribute is for distinguishing the entity type and other entity types；
External relating attribute is arranged to each entity type in entity type definition module (24), makes entity by external relating attribute
Type association module (25) establishes the incidence relation between different entities type.
3. intelligence relationship circle dynamic flexible analysis system according to claim 1, which is characterized in that entity type defines mould
Block (24) can be by one in service database (11) or a kind of tables of data abstract definition is an entity type or multiple
Homologous entity type,
When being defined as multiple homologous entity types, multiple homologous entity type is assigned with different external association categories
Property, enhance linkability between non-homogeneous entity type by different external relating attributes.
4. intelligence relationship circle dynamic flexible analysis system according to claim 1, which is characterized in that the application layer (2)
It further include attribute dictionary management module (26), the attribute dictionary management module (26) is as basic dictionary, for managing data
The natural quality that field is supported in table；
When literary name section attribute configuration module (23) carries out attribute configuration to field in tables of data, attribute dictionary management module is called
(26), attribute information is obtained, attribute configuration is implemented, is i.e. attribute dictionary management module (26) provides attribute branch to field in tables of data
It holds.
5. intelligence relationship circle dynamic flexible analysis system according to claim 1, which is characterized in that data Layer (1) includes:
Service database (11): it is the database of enterprise, is stored with the business information of enterprise, including enterprise staff information, pin
Sell the Various types of data information such as information, product information；
System configuration base (12): its to data information for generating inside storage system, including Data source table, access tables of data,
Access field list, field attribute allocation list, entity type define table, entity type contingency table and attribute dictionary；
Wherein, service database (11) can access at least one industry for one or more, data source configuration module (21)
It is engaged in database (11).
6. intelligence relationship circle dynamic flexible analysis system according to claim 1, which is characterized in that the data Layer 1 is also
Including intellectual analysis correlation database (13), which is used to store what intelligent analysis module (31) configured
Entity type association results；
Preferably, when intellectual analysis correlation database (13), tables of data connects storing data entity type association results in a tabular form
Entering module (22) can connect with intellectual analysis correlation database (13), carry out data information access, association.
7. a kind of intelligence relationship circle dynamic flexible analysis method, method includes the following steps:
Step 1, data source information, transmission data source information to tables of data AM access module are managed by data source configuration module (21)
(22), it connect tables of data AM access module (22) with service database (11)；
Step 2, tables of data AM access module (22) is by receiving the data source information of data source configuration module (21) transmission to connect
Service database (11), obtains the table essential information of tables of data in service database (11), and transmits table essential information to literary name
Section attribute configuration module (23) and entity type definition module (24)；
Step 3, the table essential information that tables of data AM access module (22) transmitting is received by literary name section attribute configuration module (23), is obtained
The literary name segment information in corresponding data table is obtained, and the respective field in configuration data table has the natural quality of setting, wherein from
Right attribute refers to attribute possessed by field essence；
Step 4, the table essential information that tables of data AM access module (22) transmission is received by entity type definition module (24), by industry
It is engaged in one in database (11) or a kind of tables of data abstract definition is corresponding entity type, and pair of entity type is set
The entity type information of management is sent to entity type relating module (25) by outer relating attribute；
Step 5, entity type relating module (25) by the external relating attribute of entity type set up in advance entity type it
Between incidence relation, association provides data supporting between implementing each entity type for intelligent analysis module (31)；
Step 6, on the basis of entity type relating module (25), by intelligent analysis module (31), organization object's type it
Between be associated, obtain entity type association results under the support of data in data Layer (1).
8. intelligence relationship circle dynamic flexible analysis method according to claim 7, which is characterized in that
In step 4, word of the entity type definition module (24) also by obtaining literary name section attribute configuration module (23) generation
Section attribute information extracts the field attribute high with entity type correlation as entity attribute, the high field attribute of the correlation
The main information of entity type definition module can be expressed；
The entity attribute that entity type definition module (24) has each entity type is classified, and chief attribute is divided into
And essential attribute, chief attribute is for distinguishing the entity type and other entity types；
External relating attribute is arranged to each entity type in entity type definition module (24), makes entity by external relating attribute
Type association module (25) establishes the incidence relation between different entities type.
9. intelligence relationship circle dynamic flexible analysis method according to claim 7, which is characterized in that in step 3, literary name section
Attribute configuration module (23) when carrying out attribute configuration to field in tables of data, is obtained by calling attribute dictionary management module (26)
Attribute information is obtained, attribute configuration is implemented；
Wherein, the attribute dictionary management module (26) is as basic dictionary, for field in management data list supported from
Right attribute.
10. intelligence relationship circle dynamic flexible analysis method according to claim 7, in step 6, data Layer (1) includes:
Service database (11): it is the database of enterprise, is stored with the business information of enterprise, including enterprise staff information, pin
Sell the Various types of data information such as information, product information；
System configuration base (12): its to data information for generating inside storage system, including Data source table, access tables of data,
Access field list, field attribute allocation list, entity type define table, entity type contingency table and attribute dictionary；
Intellectual analysis correlation database (13): the entity type association results come are configured for storing intelligent analysis module (31)；It should
Storing data is when intellectual analysis correlation database (13) in a tabular form for entity type association results, tables of data AM access module (22) energy
It is connect with intellectual analysis correlation database (13), carries out data information access, association.
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