CN104899258A - Interactive visualized analysis system structure facing massive document information - Google Patents
Interactive visualized analysis system structure facing massive document information Download PDFInfo
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- CN104899258A CN104899258A CN201510255702.9A CN201510255702A CN104899258A CN 104899258 A CN104899258 A CN 104899258A CN 201510255702 A CN201510255702 A CN 201510255702A CN 104899258 A CN104899258 A CN 104899258A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/10—File systems; File servers
- G06F16/17—Details of further file system functions
- G06F16/174—Redundancy elimination performed by the file system
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/10—File systems; File servers
- G06F16/17—Details of further file system functions
- G06F16/174—Redundancy elimination performed by the file system
- G06F16/1748—De-duplication implemented within the file system, e.g. based on file segments
Abstract
Along with the booming development of academic research, quantity of academic document is larger and larger, and demands on document data analysis is prominent day by day. The invention belongs to an interactive visualized analysis system structure facing massive document information, the interactive visualized analysis system structure suitable for the massive document data is established, and the original massive data are calculated by using classifying and clustering thoughts, so the problem that the analysis result of a scientific document network is lack of graphic display is solved. The structure is divided into four layers: a user interface layer, an analysis result layer, an analysis statistical layer and a data model layer. The user interface layer is a system-user interaction interface; the analysis result layer realizes visualized display of an analysis result; the analysis statistical layer realizes analysis of massive documents and the data model layer maintains connection of a database and realizes access of the database. The structure analyzes the massive documents, realizes visualized display and realizes interaction function with a user.
Description
Technical field
The present invention relates to develop computer software field, being specifically related to one can interactive visual analytic system framework towards magnanimity documentation & info.
Background technology
Along with the development of infotech, each industry is faced with the problem of mass data, and people manage data, also will obtain comprehensive knowledge and information inside a large amount of data, to data analysis.Flourish along with academic research, documents and materials quantity is also increasing, and the demand for data in literature analysis also highlights day by day, for the analysis of magnanimity technology literature information, user can be helped to understand current Hot subject, the key personnel and each field development trend etc. of each area research.More existing work for document analysis at present, these analytical works are multi-angles, as: for methods such as keyword Citations networks, author's cooperative relationship network, reference citation networks.But these researchs are all chart or character express, some statement seems directly perceived not.Scientific literature network is complicated heterogeneous data information, and contains much information, and existing visualization tool is not enough for the analysis ability of mass data, so need one analyze magnanimity document and realize visual presentation, and can realize the interactive function with user.
Summary of the invention
In view of this, the invention provides a kind of can interactive visual analytic system framework towards magnanimity documentation & info, utilize the thought of Classification and clustering to carry out computing to original mass data, thus the analysis result solving scientific and technical literature network lack the problem of graphical representation.Native system also can make up the defect that existing mass data visualization tool lacks analytic statistics function simultaneously.
For achieving the above object, the invention provides following technical scheme:
User interface layer, analysis result layer, analytic statistics layer, data model layer are the present invention includes.User interface layer: for the interface of system and user interactions, be the interface of user operation.Analysis result layer: for accepting the user instruction transmitted from user interface layer, carries out visual presentation by the analysis result data that analytic statistics layer is submitted to, and displaying result is submitted to user interface layer.Analytic statistics layer: for responding the analysis instruction of user, to multidimensional data creation analysis pattern, forms visualized data, calculated relationship figure element degree of geometrical measure feature value, and visualized data and result are submitted to analysis result layer realizes visual.Data model layer: connect for maintenance data base, the access of fulfillment database, provides the data being packaged into and meeting graph of a relation data defining mode to analytic statistics layer.
Further, described user interface layer, is made up of main interface manager module, control panel administration module, visualization window module and hierarchical tree window module.。Control panel administration module and hierarchical tree module accept user instruction, submit to main interface manager module, are submitted to " window interface " of analysis result layer by main interface manager module.After background analysis process, result is submitted to main interface manager module by " window interface ", is shown to user by visualization window;
Further, described analysis result layer, by window interface module, visualized management engine modules, effect of visualization module, icon module, mouse action administration module, visual image filtering module and visual configuration information management module.The user instruction of window interface module receives user interface layer and the result of this layer is issued user interface layer.Visualized management engine modules response window interface layer to visual relevant request, Core Feature is to safeguard the existing figure object pool of production Methods and context environmental thereof, in this, as the foundation of response upper strata visualization request.When user produces a visual order, the horizontal query object pond of management engine, if can find, is activated, otherwise is re-created according to new figure.When user's contextual information produce one open the order of subgraph time, the first horizontal query object pond of management engine, if can find, activated, otherwise the hierarchical tree of the longitudinally all maintenances of traversal in turn, until find the upper strata graph of a relation object of target subgraph, according to the diagram data information spanning subgraph of its binding.This module also possesses parse upper layers order, loading analysis data, starts graph of a relation visualization function and starts icon draws function.Effect of visualization module accepts the graph of a relation point limit data of visualized management engine modules, creates graph of a relation and can make amendment according to user's request in real time.Chart module accepts the statistical data analysis that visualized management engine is sent, and the icon genre parameters provided by information management module creates icon.The request of mouse action administration module response user mouse action.The element that image filtering module is used for current active graph of a relation filters and search positioning action;
Further, described analytic statistics layer, by analytical algorithm Processing Interface module, analysis management engine modules, GM algoritic module, FEMC algoritic module, Elementary Measures index calculate module, multidimensional linking parsing module, analytical algorithm configuration information module.The request of analysis result layer is submitted to analytic statistics layer by analytical algorithm Processing Interface module, and the result obtained is submitted to analysis result layer.Analysis management engine modules is responsible for the primitive relation data that the mutual and each module of reprinting between this layer of each module needs.The primitive relation data that GN algoritic module receiving and analyzing management engine is given, use GN algorithm to carry out hierarchical clustering to it, cluster result are formed hierarchy chart, submits to analytical algorithm Processing Interface module.The primitive relation data that FEMC algoritic module receiving and analyzing management engine is given, use FEMC algorithm to carry out hierarchical clustering to it, cluster result are formed hierarchy chart, submits to analytical algorithm Processing Interface module.The dimensional attribute analyzing theme and user's setting is converted to query argument list by multidimensional linking parsing module, and management engine module obtains data model layer encapsulation relation data by analysis, and submits to analytical algorithm Processing Interface module.The function of Elementary Measures index calculate module is each elemental characteristic property value of real-time computational grid data.About point, algorithm configuration information module provides parameter needed for algorithm and degree of geometrical measure feature property parameters;
Further, described data pattern layer, by data pick-up interface module, some side information model management module, database connection pool administration module and data model configuration information management module.Data pick-up interface module receives the data access request on upper strata, the request of dispatching point side information model management module responds, and returns packaged data.Point side information model management module maintenance point limit data object, some limit object contains business attribute information, not containing the information relevant with figure.Database connection pool administration module realizes the maintenance of Data Connection Pool and the establishment of DataBase combining.Data model configuration information management module contains data model configuration information;
Further, described GN algoritic module, concrete implementation step is as follows: 51: the middle betweenness using all limits in intermediary's degree algorithm computational grid node; 52: find the highest limit of middle betweenness and it is deleted from network, be two subgraphs by document network graph partitioning; 53: the subgraph condensation degree calculating current cluster result, detect it and whether reach threshold value; 54: if do not reach threshold value, get back to 51 and continue to repeat; If reach threshold value, then export cluster result and export as net result.
Further, described FEMC algoritic module, concrete implementation step is as follows: 61: i the Maximum Clique calculating document network; 62: use correlation rule to calculate in i Maximum Clique and frequently occur that minimum support is greater than the node bound feet minimum frequency p between Maximum Clique, and size is Maximum Clique node intersects the set Cq of number q; 63: k the connected component CO calculating Cq
k, a node in optional Maximum Clique, calculates this node and each connected component CO
kaverage shortest path length; 64: find out minimum shortest path by comparing, being j by vertex ticks, is namely assign in j bunch by this node; 65: repeat 64 until all nodes are all assigned in respective cluster.
Beneficial effect of the present invention is: the present invention be a kind of towards magnanimity documentation & info can interactive visual analytic system framework, be characterized in magnanimity documentation & info as object, different document is divided by Clustering Model, document similarity done assigns to same group, builds the system architecture with analysis ability and good visualization display function of corresponding magnanimity scientific and technical literature.Present invention achieves the visual presentation of document network analysis, also extend the analytic statistics function of current large figure visualization tool simultaneously, user can be helped to put the trend of development in science and technology in order, reasonable distribution resource.
Accompanying drawing explanation
In order to make the object, technical solutions and advantages of the present invention clearly, below in conjunction with accompanying drawing, the present invention is described in further detail, wherein:
Fig. 1 is present system configuration diagram.
Embodiment
Below in conjunction with accompanying drawing, the preferred embodiments of the present invention are described in detail.
Fig. 1 is present system configuration diagram, the invention provides a kind of can interactive visual analytic system framework towards magnanimity documentation & info, it includes user interface layer, analysis result layer, analytic statistics layer, data model layer:
S1: user interface layer, for the interface of system and user interactions, is the interface of user operation.Be made up of main interface manager module, control panel administration module, visualization window module and hierarchical tree window module.Control panel administration module and hierarchical tree module accept user instruction, submit to main interface manager module, are submitted to " window interface " of analysis result layer by main interface manager module.After background analysis process, result is submitted to main interface manager module by " window interface ", is shown to user by visualization window;
S2: analysis result layer, for accepting the user instruction transmitted from user interface layer, carrying out visual presentation by the analysis result data that analytic statistics layer is submitted to, and displaying result is submitted to user interface layer.By window interface module, visualized management engine modules, effect of visualization module, icon module, mouse action administration module, visual image filtering module and visual configuration information management module.The user instruction of window interface module receives user interface layer and the result of this layer is issued user interface layer.Visualized management engine modules response window interface layer to visual relevant request, Core Feature is to safeguard the existing figure object pool of production Methods and context environmental thereof, in this, as the foundation of response upper strata visualization request.When user produces a visual order, the horizontal query object pond of management engine, if can find, is activated, otherwise is re-created according to new figure.When user's contextual information produce one open the order of subgraph time, the first horizontal query object pond of management engine, if can find, activated, otherwise the hierarchical tree of the longitudinally all maintenances of traversal in turn, until find the upper strata graph of a relation object of target subgraph, according to the diagram data information spanning subgraph of its binding.This module also possesses parse upper layers order, loading analysis data, starts graph of a relation visualization function and starts icon draws function.Effect of visualization module accepts the graph of a relation point limit data of visualized management engine modules, creates graph of a relation and can make amendment according to user's request in real time.Chart module accepts the statistical data analysis that visualized management engine is sent, and the icon genre parameters provided by information management module creates icon.The request of mouse action administration module response user mouse action.The element that image filtering module is used for current active graph of a relation filters and search positioning action;
S3: analytic statistics layer, for responding the analysis instruction of user, to multidimensional data creation analysis pattern, forming visualized data, calculated relationship figure element degree of geometrical measure feature value, and visualized data and result are submitted to analysis result layer realizing visual.By analytical algorithm Processing Interface module, analysis management engine modules, GM algoritic module, FEMC algoritic module, Elementary Measures index calculate module, multidimensional linking parsing module, analytical algorithm configuration information module.The request of analysis result layer is submitted to analytic statistics layer by analytical algorithm Processing Interface module, and the result obtained is submitted to analysis result layer.Analysis management engine modules is responsible for the primitive relation data that the mutual and each module of reprinting between this layer of each module needs.The primitive relation data that GN algoritic module receiving and analyzing management engine is given, use GN algorithm to carry out hierarchical clustering to it, cluster result are formed hierarchy chart, submits to analytical algorithm Processing Interface module.The primitive relation data that FEMC algoritic module receiving and analyzing management engine is given, use FEMC algorithm to carry out hierarchical clustering to it, cluster result are formed hierarchy chart, submits to analytical algorithm Processing Interface module.The dimensional attribute analyzing theme and user's setting is converted to query argument list by multidimensional linking parsing module, and management engine module obtains data model layer encapsulation relation data by analysis, and submits to analytical algorithm Processing Interface module.The function of Elementary Measures index calculate module is each elemental characteristic property value of real-time computational grid data.About point, algorithm configuration information module provides parameter needed for algorithm and degree of geometrical measure feature property parameters.
S4: data model layer, connect for maintenance data base, the access of fulfillment database, provides the data being packaged into and meeting graph of a relation data defining mode to analytic statistics layer.By data pick-up interface module, some side information model management module, database connection pool administration module and data model configuration information management module.Data pick-up interface module receives the data access request on upper strata, the request of dispatching point side information model management module responds, and returns packaged data.Point side information model management module maintenance point limit data object, some limit object contains business attribute information, not containing the information relevant with figure.Database connection pool administration module realizes the maintenance of Data Connection Pool and the establishment of DataBase combining.Data model configuration information management module contains data model configuration information.
What finally illustrate is, above preferred embodiment is only in order to illustrate technical scheme of the present invention and unrestricted, although by above preferred embodiment to invention has been detailed description, but those skilled in the art are to be understood that, various change can be made to it in the form and details, and not depart from claims of the present invention limited range.
Claims (7)
1. can an interactive visual analytic system framework towards magnanimity documentation & info, this main function of system be for the analysis of magnanimity document and after based on analytic operation several visual figure shown in parallel.System is divided into four layers: user interface layer, analysis result layer, analytic statistics layer, data model layer.
User interface layer, for the interface of system and user interactions, is the interface of user operation.
Analysis result layer, for accepting the user instruction transmitted from user interface layer, carrying out visual presentation by the analysis result data that analytic statistics layer is submitted to, and displaying result is submitted to user interface layer.
Analytic statistics layer, for responding the analysis instruction of user, to multidimensional data creation analysis pattern, forming visualized data, calculated relationship figure element degree of geometrical measure feature value, and visualized data and result are submitted to analysis result layer realizing visual.
Data model layer, connect for maintenance data base, the access of fulfillment database, provides the data being packaged into and meeting graph of a relation data defining mode to analytic statistics layer.
2. as claimed in claim 1 can interactive visual analytic system framework towards magnanimity documentation & info, it is characterized in that: described user interface layer, be made up of main interface manager module, control panel administration module, visualization window module and hierarchical tree window module.。Control panel administration module and hierarchical tree module accept user instruction, submit to main interface manager module, are submitted to " window interface " of analysis result layer by main interface manager module.After background analysis process, result is submitted to main interface manager module by " window interface ", is shown to user by visualization window.
3. as claimed in claim 1 can interactive visual analytic system framework towards magnanimity documentation & info, it is characterized in that: described analysis result layer, by window interface module, visualized management engine modules, effect of visualization module, icon module, mouse action administration module, visual image filtering module and visual configuration information management module.The user instruction of window interface module receives user interface layer and the result of this layer is issued user interface layer.Visualized management engine modules response window interface layer to visual relevant request, Core Feature is to safeguard the existing figure object pool of production Methods and context environmental thereof, in this, as the foundation of response upper strata visualization request.When user produces a visual order, the horizontal query object pond of management engine, if can find, is activated, otherwise is re-created according to new figure.When user's contextual information produce one open the order of subgraph time, the first horizontal query object pond of management engine, if can find, activated, otherwise the hierarchical tree of the longitudinally all maintenances of traversal in turn, until find the upper strata graph of a relation object of target subgraph, according to the diagram data information spanning subgraph of its binding.This module also possesses parse upper layers order, loading analysis data, starts graph of a relation visualization function and starts icon draws function.Effect of visualization module accepts the graph of a relation point limit data of visualized management engine modules, creates graph of a relation and can make amendment according to user's request in real time.Chart module accepts the statistical data analysis that visualized management engine is sent, and the icon genre parameters provided by information management module creates icon.The request of mouse action administration module response user mouse action.The element that image filtering module is used for current active graph of a relation filters and search positioning action.
4. as claimed in claim 1 can interactive visual analytic system framework towards magnanimity documentation & info, it is characterized in that: described analytic statistics layer, by analytical algorithm Processing Interface module, analysis management engine modules, GM algoritic module, FEMC algoritic module, Elementary Measures index calculate module, multidimensional linking parsing module, analytical algorithm configuration information module.The request of analysis result layer is submitted to analytic statistics layer by analytical algorithm Processing Interface module, and the result obtained is submitted to analysis result layer.Analysis management engine modules is responsible for the primitive relation data that the mutual and each module of reprinting between this layer of each module needs.The primitive relation data that GN algoritic module receiving and analyzing management engine is given, use GN algorithm to carry out hierarchical clustering to it, cluster result are formed hierarchy chart, submits to analytical algorithm Processing Interface module.The primitive relation data that FEMC algoritic module receiving and analyzing management engine is given, use FEMC algorithm to carry out hierarchical clustering to it, cluster result are formed hierarchy chart, submits to analytical algorithm Processing Interface module.The dimensional attribute analyzing theme and user's setting is converted to query argument list by multidimensional linking parsing module, and management engine module obtains data model layer encapsulation relation data by analysis, and submits to analytical algorithm Processing Interface module.The function of Elementary Measures index calculate module is each elemental characteristic property value of real-time computational grid data.About point, algorithm configuration information module provides parameter needed for algorithm and degree of geometrical measure feature property parameters.
5. as claimed in claim 1 can interactive visual analytic system framework towards magnanimity documentation & info, it is characterized in that: described data pattern layer, by data pick-up interface module, some side information model management module, database connection pool administration module and data model configuration information management module.Data pick-up interface module receives the data access request on upper strata, the request of dispatching point side information model management module responds, and returns packaged data.Point side information model management module maintenance point limit data object, some limit object contains business attribute information, not containing the information relevant with figure.Database connection pool administration module realizes the maintenance of Data Connection Pool and the establishment of DataBase combining.Data model configuration information management module contains data model configuration information.
6. as claimed in claim 4 can interactive visual analytic system framework towards magnanimity documentation & info, it is characterized in that, GN algoritic module, concrete implementation step is as follows: 61: the middle betweenness using all limits in intermediary's degree algorithm computational grid node; 62: find the highest limit of middle betweenness and it is deleted from network, be two subgraphs by document network graph partitioning; 63: the subgraph condensation degree calculating current cluster result, detect it and whether reach threshold value; 64: if do not reach threshold value, get back to 61 and continue to repeat; If reach threshold value, then export cluster result and export as net result.
7. as claimed in claim 4 can interactive visual analytic system framework towards magnanimity documentation & info, it is characterized in that, FEMC algoritic module, concrete implementation step is as follows: 71: i the Maximum Clique calculating document network; 72: use correlation rule to calculate in i Maximum Clique and frequently occur that minimum support is greater than the node bound feet minimum frequency p between Maximum Clique, and size is Maximum Clique node intersects the set Cq of number q; 73: k the connected component CO calculating Cq
k, a node in optional Maximum Clique, calculates this node and each connected component CO
kaverage shortest path length; 74: find out minimum shortest path by comparing, being j by vertex ticks, is namely assign in j bunch by this node; 75: repeat 74 until all nodes are all assigned in respective cluster.
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| CN113590686A (en) * | 2021-07-29 | 2021-11-02 | 深圳博沃智慧科技有限公司 | Method, device and equipment for processing ecological environment data indexes |
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| CN106326435A (en) * | 2016-06-02 | 2017-01-11 | 北京赛思信安技术股份有限公司 | System and method for visually and automatically analyzing and assembling big data |
| CN106959990A (en) * | 2016-08-30 | 2017-07-18 | 智器云南京信息科技有限公司 | Information visual analysis method, device and terminal based on analysis model |
| CN106339503A (en) * | 2016-09-22 | 2017-01-18 | 北京金堤科技有限公司 | Interactive display method based on elements and relationships |
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| CN106547622A (en) * | 2016-10-31 | 2017-03-29 | 中国人民解放军91655部队 | Internet resources situation based on computing module is presented data-optimized processing method |
| CN106547622B (en) * | 2016-10-31 | 2020-01-17 | 中国人民解放军91655部队 | Network resource situation presentation data optimization processing method based on computing module |
| CN108874818A (en) * | 2017-05-11 | 2018-11-23 | 上海宏时数据***有限公司 | A kind of data intelligence visualization system and method |
| CN107870969A (en) * | 2017-08-31 | 2018-04-03 | 平安科技（深圳）有限公司 | Dynamic more new relation exploded view method and application server |
| CN108829783A (en) * | 2018-05-31 | 2018-11-16 | 浪潮软件集团有限公司 | Relation processing method and system based on mass data |
| CN108829783B (en) * | 2018-05-31 | 2021-09-28 | 浪潮软件股份有限公司 | Relation processing method and system based on mass data |
| CN108874487B (en) * | 2018-06-13 | 2020-01-10 | 北京九章云极科技有限公司 | Data analysis processing method, system, device and storage medium based on workflow |
| CN108874487A (en) * | 2018-06-13 | 2018-11-23 | 北京九章云极科技有限公司 | Data analysis processing method and system based on workflow |
| CN110222169A (en) * | 2019-06-20 | 2019-09-10 | 中国人民解放军陆军特种作战学院 | A kind of visualized data processing resolution system and its processing method |
| CN110399401A (en) * | 2019-07-08 | 2019-11-01 | 武汉东湖大数据交易中心股份有限公司 | Data analysis system and method based on government data |
| CN113590686A (en) * | 2021-07-29 | 2021-11-02 | 深圳博沃智慧科技有限公司 | Method, device and equipment for processing ecological environment data indexes |
| CN113590686B (en) * | 2021-07-29 | 2023-11-10 | 深圳博沃智慧科技有限公司 | Processing method, device and equipment for ecological environment data index |
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