CN101923549A - User-defined visual intelligent track clue analytical system and establishing method - Google Patents
User-defined visual intelligent track clue analytical system and establishing method Download PDFInfo
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Abstract
The invention relates to a user-defined visual intelligent track clue analytical system and an establishing method. The method comprises the following steps: connecting various data with related information in a flexible and configurable mode; analyzing a data structure, abstracting various analysis elements such as people, case, time, address, objects and the like, and defining visual units of analysis and related relationship such as entity and linkage; and according to the existed data, business requirement and research and judgment thinking, forming various business analysis models, wherein a visual related inquiry can be defined and a visual professional analysis model can be defined. In the invention, the analysis model with good use effect can be solidified into a classic operation method for other people to use, thereby enabling various of information to obtain the dynamic and comprehensive related analysis. The system is necessary to be established on the base of an analysis method of visual information and information relation. The invention can be used for the departments such as public security, safety, finance and the like, can help an analysis, research and judging personnel to configure various analysis models according to the exiting information and the analysis experiences, thereby discovering the potential valuable track clue information in various systems.
Description
Technical field
Be used for departments such as the Ministry of Public Security, Ministry of State Security, finance, the department that needs flexible dynamic random definition information clue analysis and personnel activity's trajectory analysis model to study and judge.Constantly increase in its information, under the situation that analytical approach and model also require constantly to change, the analyst keeps the change the research and development of software staff development, and oneself just can easily solve with this system configuration correlation function.Being connected of the data of requirement system and information is to be configured increase with flexible dynamical fashion, the visual analyzing model also is dynamically dilatory flexibly mode to dispose out, just can make various information obtain comprehensive association analysis and use, the displaying and the analysis-by-synthesis function of the information track clue of inherence is provided well.For example be used to analyze personnel concerning the case's hotel's lodging information, telephony recording, account No. record, entrance and clearance information, network communication and other event trace information analysis at present, find potential criminal gang's information, mechanics and track etc.
Background technology
Public security system has accumulated a large amount of interior business information and outside social information at present, in numerous information, exist in fact and implying various incidence relation, now together with a large amount of information aggregatings, can study and judge with these information analyses, but the personnel that study and judge are not the programmers, they are experienced experts in the industry, how the personnel that study and judge are without coding, just can be self-defined go out many analytical models, reach effective analysis and study and judge purpose and become a problem that presses for solution.Also there is not the ripe effectively user-defined visual intelligent of a cover to study and judge the analyst use of analytic system up to now for us.Because the kind of these information is constantly increasing and is changing, different analysts has different analysis thinking and method, if these information are done the association analysis of information track clue, this just requires analytic system also to need to have the new information of continuous increase, the function of mutation analysis mode and analytical model, customized development visual analyzing model has not satisfied the business demand of continuous variation.Press for a system and satisfied above requirement, therefore we begin research and development, be named as: user-defined visual intelligent trajectory analysis (or being user-defined visual information clue mining analysis) system, this system are based upon on the basis of visual information and information correlation analysis method.
This invention is studied and judged the analyst to information provides a kind of flexible and changeable analysis means, as long as the analyst has new data message and new analysis thinking, without development sequence, only the system that sets up with this method just can configure different visual analyzing models neatly, analyzes and studies and judges.It can be for the intelligence analysis personnel provide a convenience easy-to-use, and powerful graphical information association, the mode of self-defined analytical model.The work that the analyst will do is to seek more information and determine to analyze thinking, just can configure the multiple model of the excavation clue that meets business demand, the analytical model analysis that use configures, fully excavate the valuable clue that lies in the different business systems internal information, for improving the intelligence analysis work efficiency, implement precision strike, advanced technological means support is provided.
The application system content
The application system relates to a kind of usefulness dynamic configurable mode flexibly, in numerous existence and potential related information, seek and find valuable information track clue, being connected of its data and information is to be configured with flexible dynamical fashion, analytical model also is dynamically dilatory flexibly mode to dispose out, making various information obtain comprehensive association analysis uses, the displaying and the analysis-by-synthesis function of inherent information track clue are provided well, have that abundant track represents, clue association analysis and a backstage analytic function.The present invention is well used in the public security field, help public security cadres and police, rule of thumb can configure following classical tactics: the analysis-by-synthesis of analysis, the analysis of cases clique, the relevant informations such as man analysis of being involved in drug traffic is interrogated and examined on hotel ccommodation analysis, flight trajectory analysis, people stayed temporarily analysis, suspicion man analysis, communication trajectory analysis, Bank Account Number analysis, motor vehicle trajectory analysis, road surface.Use in public security system by the application system in a word,, help public security cadres and police to solve a case and prevention crime in time, realize that very important effect is played in precision strike offender's illegal activity finding some potential clue and mechanicses of criminal.Analysis process as shown in Figure 1.
One, overall system framework
Fig. 2 is the whole overall frame structure of studying and judging the analysis mining system, and system is supreme being divided into the end of from: information resources layer, collection of resources conformable layer, intelligence are studied and judged three different levels of analysis layer.
Information resources layer: be meant the source of data, mainly comprise department's internal data and department's external data.With public security is example: wherein public security internal data is mainly can share related information resource database, and the public security external data mainly comprises external social informations such as civil aviaton, telecommunications, bank, network.
The collection of resources conformable layer: system can arrive native system with department's internal data and department's external data flexible configuration.But to study and judge efficient in order improving to analyze, can to set up to be specifically designed to and analyze the thematic storehouse of studying and judging.By data acquisition platform various dispersion business datums are passed through data extraction tool, collect in the information resources bank through processes such as cleaning, filtration, conversions.Also need to check, feed back, report again again extraction for the problematic data of part.The thematic data quality is studied and judged in assurance, keeps business datum and the synchronous renewal of studying and judging thematic data simultaneously.And study and judge analysis and need carry out corresponding storage organization and performance optimization towards different, guarantee to study and judge the efficient of analysis.Also combination in two ways: the mode of building thematic storehouse and direct-connected other application system database combination.
Intelligence is studied and judged analysis layer: be towards the service application layer of studying and judging analysis user, the method according to business demand and the various analyses of summarizing the experience out are studied and judged forms the business diagnosis model, and the business diagnosis model is disposed by " analytical model configuration " module.Be about to originally need be according to the analytical model of the business scenario customization abstract configurable functional module that turns to, and can use analytical approach in the invention of visual information and information correlation analysis, high-end user or keeper can directly self-defined required analytical models by " analytical model configuration " module." analytical model configuration " should have open thinking, provides self-defined completely business diagnosis functions of modules to user or keeper, self-definedly goes out visual intelligent track clue and analyzes various analytical models.System provides abundant second development interface and development environment and language support, to make things convenient for the client to carry out customized development or to carry out integrated with other application system.
Two, system design
The graphical intelligent track that user-defined visual intelligent track clue analytical system is based on the multilayer system framework represents and clue association analysis platform, provides that abundant track represents, clue association analysis and backstage analytic function.
Based on user-defined visual intelligent trajectory analysis system, can the subject analysis application of fast construction miscellaneous service and analysis-by-synthesis use, can integrate with existing application system easily, and can provide the business diagnosis user to visit various remote data source, data are carried out visual inquiry and visual track represents and the clue analysis, and can carry out integrated (based on the Java technology) with other client's application system easily by browser interface based on Web mode (B/S).
User-defined visual intelligent track clue is studied and judged the application framework of analytic system, as shown in Figure 2.
The measured J2EE framework of visual intelligent track clue analytical system, i.e. browser client-analytical applications server-back-end data storage three-layer architecture.Browser client sends query analysis request and the graphical query analysis result that shows; Business diagnosis request interface in middle layer receives client-requested, calls the Analysis Service interface, and the middle layer Analysis Service is by the storage of data access interface visit back-end data, and actual figure be it is investigated and inquired about analytic function, and Query Result is converted to the standard XML form; Data service layer is stored business datum commonly used and is provided data support (JDBC) by open interface.
The Technical Architecture of user-defined visual intelligent track clue analytical system, as shown in Figure 3.
■ analyzes client and submits the business diagnosis request to
The request of ■ business diagnosis service interface receiving and analyzing, and distribution analysis request to Analysis server is handled
The ■ Analysis Services Component is stored the line correlation analyzing and processing of going forward side by side by data access interface visit back-end data
The ■ analysis result data turns back to the analysis client in the mode of XML
■ graphically shows by the XML packet that browser client will be returned in the frontal chromatography interface
The system logic design
This system mainly comprises the interface, foreground of analysis user (senior or general) use and background interface two parts composition of system manager's operation.System boundary as shown in Figure 4.
The system logic architecture design, as shown in Figure 5.
The system physical architecture design, as shown in Figure 6.
Three, the systemic-function of user-defined visual intelligent track clue analysis
User-defined visual intelligent track clue analytical system carries out comprehensive association analysis at all kinds of departments and social data, in numerous existence and potential associated data, seek and find valuable information clue, provide graphical clue track to show and the analysis-by-synthesis function.
The connection that native system provides measured open interface to be configured to multiple background data base, data entity and correlation model in the definition database, and the relation between data carried out graphic exhibition and analysis.Simultaneously, provide the access interface of other formatted data except that relational database, as data files such as text, xml.
■ several data source is supported: common shared database, Service Database, outside common data
■ opening interface: JDBC, Web Services (request service)
Many kinds of RDBMS of ■ support: Oracle etc.
■ supports text, XML data file, Excel file layout etc.
Support is based on B/S mode multilayer system framework
The visual analyzing server is supported Web interface operation completely, comprises that data query, chart represent, graphically analyze etc., and client only needs browser (supporting the JRE environment) to support just can carry out analytical work.
■ is Web User Interface (HTML/JSP/ASP) completely, and client does not need to install any software (needing browser to support JRE), has enlarged user's usable range.
Pattern exhibition mode and function (related/sequential/clustering method etc.) that ■ is abundant are supported multiple pattern layout type: exhibition methods such as network topology, level layout, circular layout.
■ can carry out integrated with other client Web application system easily; Client is analyzed plug-in unit can carry out integrated (HTML/ASP/JSP) with various Web page technology; The Technical Architecture of Analysis server end J2EE can be integrated with present popular Web system easily.
■ provides complete client to analyze API and supports, supports secondary development and customization; User interface, layout style, comprise that actions menu etc. can customize according to user's needs.
A. data management: data all in the analytic system are managed concentratedly.For example public security department's Data Source and type have:
● the public security internal data
◆ structural data
As population, entry and exit, motor vehicles, driver, stolen data of robbing in the information banks such as motor vehicle, fugitive personnel, safe key unit, hotel
◆ unstructured data
● the public security external data
◆ structural data
As the data in the information banks such as civil aviaton, telecommunications, bank
◆ unstructured data
Unstructured data: as webpage, XML file, Email, Office file, pdf document, picture, audio/video multimedia file, chart, official document, research report etc.
Common data management: define overall addressable public database connection name; The tables of data that will analyze in the definition of data source, definition list title and field name etc.; And check and browse the public sheet data.
Private data management: create corresponding data storage list structure according to the data cases of analysis user; The data list structure of selecting to have created imports corresponding service analysis data; To one's own privately owned table data browse, revise, deletion etc.; Analysis user can select to be/to deny that private data and analytical model with oneself are shared to other user.
B. model definition: data all in the analytic system are carried out entity-related modeling, all analysis requirement and incidence relation in the define system.
■ substantial definition (Essential Elements Of Analysis definition): the system manager can be according to publicly-owned entity of definition and attributes of entities such as all public sheet.
■ link definition (incidence relation definition): the system manager can select according to publicly-owned linking relationships of definition such as all public sheet.
■ business model definition (business diagnosis flow process): the keeper defines the combination process and the parameter setting of entity-linking relationship, and saves as the visual analyzing model according to analysis thinking and flow process commonly used.
Business diagnosis model function provides the analyst based on a certain subject analysis, according to predefined analytical model flow process, adopt certain graphical and data association algorithm, from the mass data of background data base, seek incidence relation, hint information and the regular information that may exist, and finally form analysis diagram, analyze difference with front end, the business diagnosis model does not generally provide the real-time analysis result, and moves in the mode of background job.
C. visual association analysis: the entity associated model based on definition, carry out various analysis-by-synthesis functions such as entity inquiry, visual association analysis.
C.1 visual association analysis
■ entity query analysis: select the predefine special entity, search all entities that satisfy condition according to the querying attributes that this entity type is set, and carry out patterned displaying, form preliminary analysis diagram.
The inquiry of ■ simple entity: inquiry obtains list of entities according to simple condition (single property value).
The complicated entity inquiry of ■: inquiry obtains list of entities according to complex conditions (a plurality of entity attribute combination).
The related extensive diagnostic of ■: selected one or more entities, according to the predefined incidence relation of selected entity, select section analysis time, show its individual layer incidence relation in the mode of network chart.
The graphic analyses of ■ front end: front end graphic analyses function provides the analyst based on entity in the analysis diagram of current generation and linked object, use the graphical analytical approach of a series of front ends (tabulation analysis, link analysis, path analysis etc.), find incidence relation and hint information implicit in some current chart datas.
The manual graphic analyses of ■: manual chart operating function provides the analyst based on the blank analysis chart, and manual data, interpolation entity and the linking relationship of importing drawn and also formed analysis diagram, and support abundant manual chart editor and operating function.
Visual inquiry
Analysis user can be selected relevant entity and linking relationship according to analyze demands, and input correlation analysis condition is carried out visual query analysis and formed the analysis diagram that meets the result.
Four, the concrete systemic-function of system is showed (is example with the public security system)
Data management
Data management is the comprehensive module that data resource all in the analytic system (comprising that data connection, tables of data, view, data set comprise the data field content) is defined and manages concentratedly.
The management of ■ data source
Define overall addressable public database connection name, as shown in Figure 7.
A: editor: click the Edit button and enter figure below; Can make amendment to the information in current data source.Can test after the modification, preserve then and also can directly preserve, as shown in Figure 8.
C: deletion: click " deletion " button, deletion current data source, the system's table under this data source also can be deleted.Can eject one and confirm frame.
D: newly-increased: click " increasing newly " button, enter and revise the data source page, all is required item, as shown in Figure 9.
Remarks: when increasing new data source, need to upgrade data source; Also to upgrade data source (except changing display Name) during editor.
■ is publicly-owned, the private data management
The publicly-owned still private data table that will analyze in the definition of data source, definition list title and field name etc.; And check and browse the public sheet data.
Click " all show management ", can show the form of subscriber's meter information, as shown in figure 10 with tabulation.
A. show type: three kinds of table types are arranged, all tables of user, the privately owned table of user, the publicly-owned table of user selects any one can list corresponding table.
B. deletion: first this table of deletion in privately owned table management, the delete button of this table are only and can use, otherwise delete button is a down state; But when the delete button time spent, click " deletion " button and delete this table, can eject one and confirm frame;
C. system's table: click " system's table " button, all system's tables occur, as shown in figure 11.
A. newly-increased: as to click " increasing newly " button, can increase system's table newly.
Selected can occur shown in figure below behind the true table name, table alias is a required item, selects required field, clicks and preserves, as shown in figure 12.
B. edit: click the Edit button, enter interface shown in figure below, we can carry out edit-modify to current system table information.After finishing, modification clicks " preservation ", as shown in figure 13.
Entity, link definition
Model definition is realized data all in the analytic system are carried out entity-related modeling, all analysis requirement and incidence relation in the define system, and concrete function comprises substantial definition, link definition, code table definition etc.
The ■ substantial definition
Analysis user can be selected to share privately owned table to him, public sheet etc. according to own privately owned table, other user and define privately owned analysis entities and attributes of entities.
A. quote: click " quoting " button and enter shown in figure below; The publicly-owned entity quoted is wanted in selection, clicks " quoting option " button, just can be publicly-owned entity reference in the publicly-owned list of entities of oneself, as shown in figure 14.
B. newly-increased: click " newly-increased (little) " button and enter figure below, newly-increased little entity, as shown in figure 15.
The B-1 data source: select data source, then database table can show all tables in this database, as shown in figure 16.
B-2 display Name: must fill in;
B-3 display icon: click " display icon " button, select icon, must fill in;
B-4 adds: click " interpolation element " button, enter the interpolation page of entity elements, as shown in figure 17; Wherein: display Name is a required item;
Select " interpolation attribute " choice box, can the attribute of entity elements be provided with, as shown in figure 18, click after finishing and preserve;
B-5 edits: select element, click " editor's element " button, enter Figure 19, entity elements is made amendment, click " interpolation attribute " button, can make amendment to the attribute of entity elements, click after revising and preserve;
B-6 deletion: select element, click " deletion element " button, then delete current entity elements (but must guarantee that two elements are arranged, otherwise can eject the affirmation frame);
B-7 cancellation: click " cancellation " button, original content of filling in can be emptied;
The ■ link definition
Analysis user can be selected to share privately owned table to him, public sheet etc. according to own privately owned table, other user and define privately owned linking relationship.(linking relationship may comprise promptly that privately owned entity also may comprise publicly-owned entity).
A. quote: click " quoting " button and enter figure below and select to want the publicly-owned link of quoting, click " quoting option " and just can refer to publicly-owned link in the publicly-owned link of oneself, as shown in figure 20;
B. newly-increased: click " increasing newly " button and enter figure below, newly-increased link, as shown in figure 21;
The B-1 data source: select data source, then database table can show all tables in this database, as shown in figure 22;
B-2 display Name: must fill in;
The field of B-3 entity correspondence: must fill in;
B-4 must select corresponding field and entity;
B-5 hits " interpolation attribute " button, enters the interpolation page of element, as shown in figure 23; Wherein display Name is a required item;
Select " interpolation attribute " check boxes, can the attribute of linking element be provided with, as shown in figure 24, click after finishing and preserve;
B-6 selects element, clicks " editor's element " button, enters Figure 25, and linking element is made amendment, and clicks " interpolation attribute " button, can make amendment to the attribute of linking element, revises the back click and preserves;
B-7 selects element, clicks " deletion element " button, deletion current link element, but must guarantee that two elements are arranged, can eject the affirmation frame;
B-8 clicks " cancellation " button, original content of filling in can be emptied;
C. revise: can only revise privately owned link, the link of clicking under the privately owned link enters Figure 26, revises and newly-increased type, has revised the back and has preserved;
D. deletion: have only the keeper can delete publicly-owned link, click " deletion " button, delete current link, can eject and confirm frame;
The self-defined analytical model of ■
Business diagnosis model custom feature provides the analyst based on a certain analysis theme, according to predefined analytical model flow process, adopt certain graphical and data association algorithm, from the mass data of background data base, seek incidence relation, hint information and the regular information that may exist, and finally form analysis diagram, analyze difference with front end, back-end analysis generally can not provide the real-time analysis result, and moves in the mode of background job.
1) user can select own privately owned or other user to share to his or total model, concrete parameter when operation is set, and the operation task model, system is in backstage generating run its respective thread, and the generation analysis diagram.
2) user can the user check the state of the task of all current operations, and can check result's (analysis diagram) of the task of end of run, and can further analyze on chart.
The analysis process concrete according to the user, the combination process and the parameter setting of definition entity-linking relationship, and preserve certain visual analyzing model of called after.
A. create: the entity in the list of entities is dragged on the middle question mark of the page, as shown in figure 27.
Click this entity, the element information of this entity in element list, can occur, as shown in figure 28, if element is made hook, can be when then inquiring about as querying condition
When selecting extendible entity, occur shown in Figure 29;
D. click " determining " button, then create successfully analytical model;
A. revise: click " modification " button, can make amendment to the model of choosing, as shown in figure 30.
Right click wherein certain entity can be deleted, the chain of entities operation of expanding this entity and deleting this entity, as shown in figure 31.
B. can inquire about: select " can inquire about ", can screen analytical model according to condition, shown in figure 32;
Visual association analysis
Entity associated model based on definition carries out various analysis-by-synthesis functions such as entity inquiry, visual association analysis.
Select the predefine special entity, search all entities that satisfy condition according to the querying attributes that this entity type is set, and carry out patterned displaying, form preliminary analysis diagram.
1) simple entity inquiry: inquiry obtains list of entities according to simple condition (single property value), as shown in figure 33.
2) complicated entity inquiry: inquiry obtains list of entities according to complex conditions (a plurality of entity attribute combination), as shown in figure 34.
3) related extensive diagnostic: selected one or more Essential Elements Of Analysis, according to the predefined incidence relation of selected key element, select section analysis time, show its various incidence relations.
4) sequential extensive diagnostic: selected one or more entities, according to the predefined incidence relation of selected entity, select section analysis time, show its individual layer incidence relation in the mode of time series chart.
5) front end graphic analyses: front end graphic analyses function provides the analyst based on entity in the analysis diagram of current generation and linked object, use a series of front end visual analysis methods (tabulation analysis, link analysis, path analysis etc.), find incidence relation and hint information implicit in some current chart datas.
6) manual graphic analyses: manual graphic analyses function provides the analyst analysis diagram based on blank, and manual data, interpolation entity and the linking relationship of importing drawn and also formed analysis diagram, supports abundant manual chart editor and operating function simultaneously.
The visual inquiry of ■
Analysis user can be selected relevant entity and linking relationship according to analyze demands, carries out visual query analysis, as shown in figure 35, and forms the analysis diagram that meets the result, as shown in figure 36.
Description of drawings:
Fig. 1 is overall frame structure figure;
Fig. 2 is application framework figure of the present invention;
Fig. 3 is Technical Architecture figure of the present invention;
Fig. 4 is system boundary figure of the present invention;
Fig. 5 is the system logic framework;
Fig. 6 is the system physical framework;
Fig. 7 connects data source figure for definition;
Fig. 8 is editing data source figure;
Fig. 9 is editing data source figure (a newly-increased and modification data source);
Figure 10 is subscriber's meter administration interface figure;
Figure 11 is system maintenance tabulation figure;
Figure 12 is newly-increased system chart;
Figure 13 is a modification system chart;
Figure 14 is increase/reference entity figure;
Figure 15 is newly-increased entity data bak figure;
Figure 16 is editor's entity data bak chart;
Figure 17 is the entity elements control chart;
Figure 18 is for adding the entity elements attributed graph;
Figure 19 is for revising entity elements figure;
Figure 20 is the Reference-links chart;
Figure 21 is newly-increased/modification linked, diagram;
Figure 22 is editor's link information figure;
Figure 23 is the linking element control chart;
Figure 24 is for adding the linking element attributed graph;
Figure 25 is for revising linking element figure;
Figure 26 is for revising link information figure;
Figure 27 is for creating analytical model figure;
Figure 28 is for creating analytical model figure (choosing analytical element);
Figure 29 is entity elements figure in the display analysis model
The analytical model figure of Figure 30 for needing to revise;
Figure 31 is editor's analytical model figure;
Figure 32 is analytical model back-stage management figure;
Figure 33 is simple entity fast query figure;
Figure 34 is complicated entity fast query figure;
Figure 35 is visual query analysis illustraton of model;
Figure 36 is analytical model operation result figure.
Claims (4)
1. user-defined visual intelligent track clue analytical system and method for building up is characterized in that this method comprises the steps:
A. the dynamic configuration data source connects flexibly, and promptly flexible configuration is dispersed in the information source that will analyze in different application systems, the disparate databases and the diffusing information source (txt, excel file etc.) of the sheet of otherwise gathering;
B. analyze data structure, abstract all kinds of Essential Elements Of Analysis (people, case, time, place, article etc.);
C. the method for studying and judging according to existing information, business demand and the various analyses of summarizing the experience out forms the business diagnosis model, and the business diagnosis model is disposed by " analytical model configuration " module.Be about to originally need be according to the analytical model of the business scenario customization abstract configurable functional module that turns to, and the analytical approach in use visual information and the information correlation analysis invention, high-end user or keeper can directly self-defined required visual analyzing models by " analytical model configuration " module." analytical model configuration " should embody open thinking, and realizing provides self-defined completely business diagnosis functions of modules to user or keeper;
The various understandable Apply Nameses of the analytical model called after that D. will configure, and good analytical model is studied and judged analysis to use name, as special analytical applications such as hotel's lodging, flight, phone, bank, cases, finally form intelligence analysis result intuitively with graphics mode.The various visual special analytical model of configuration is through repeatedly using, and effect fine after, can be classical tactics with the visual analyzing mold curing, finally form classical tactics that various visual informational intelligence summarys study and judge and share to other people and use;
E. the data source that configures is carried out visual inquiry: analysis user can be selected relevant entity and linking relationship according to analyze demands, and input correlation analysis condition is carried out visual inquiry, and forms the analysis diagram that meets the result;
F. the data source that configures is carried out visual association analysis: the entity associated model based on definition, carry out various analysis-by-synthesis functions such as visual association analysis;
G. the present invention simultaneously can also use other functions of visual information and information correlation analysis: functions such as the merging of identical information, series connection, integration in different pattern layout types, hand-drawing, the analysis result.
2. method for building up as claimed in claim 1 is characterized in that step C further comprises:
C1. model definition: the analyst carries out entity-related modeling according to analysis thinking and flow process commonly used to the data that will analyze in the analytic system, defines the combination process and the parameter setting of entity-linking relationship, and saves as the visual analyzing model.
3. method for building up as claimed in claim 1 is characterized in that step e further comprises:
E1, entity query analysis: select the predefine special entity, search all entities that satisfy condition according to the querying attributes that this entity type is set, and carry out patterned displaying, form preliminary analysis result figure;
The inquiry of E2, simple entity: inquiry obtains list of entities and figure as a result according to simple condition (single property value);
The inquiry of E3, complicated entity: inquiry obtains list of entities and figure as a result according to complex conditions (a plurality of entity attribute combination).
4. method for building up as claimed in claim 1 is characterized in that step F further comprises:
F1, related extensive diagnostic: selected one or more entities, according to the predefined incidence relation of selected entity, select section analysis time, show its individual layer incidence relation in the mode of network chart;
F2, front end graphic analyses: front end graphic analyses function provides the analyst based on entity in the analysis diagram of current generation and linked object, use the graphical analytical approach of a series of front ends (tabulation analysis, link analysis, path analysis etc.), find incidence relation and hint information implicit in some current chart datas;
F, manual graphic analyses: manual chart operating function provides the analyst based on the blank analysis chart, and manual data, interpolation entity and the linking relationship of importing drawn and also formed analysis diagram, and support abundant manual chart editor and operating function.
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