CN109582647B - Unstructured evidence file oriented analysis method and system - Google Patents
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Abstract
The invention discloses an analysis method and system for an unstructured evidence file, wherein the analysis method comprises the steps of configuring metadata information and data source conversion rule information of an unstructured data file into a database; dynamically generating a front-end page through an analysis engine; and dynamically finishing data binding and data filling according to the file metadata information and the data source conversion rule information, finishing the aggregate storage and the aggregate display of the unstructured data and the structured data, and finally achieving the aims of quick retrieval and analysis of the unstructured evidence files. The invention not only has uniform design and implementation mode and easier service management, can manage different databases and unstructured files, but also greatly reduces the workload of developers, improves the speed of data reprocessing, and meets the requirements of generalization, encapsulation and stability of unstructured evidence file management.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to an unstructured evidence file oriented analysis method and system.
Background
For information data with a wide variety of sources, professionals divide the information data into two categories, namely structured information and unstructured information according to the format of the information. The structured information is data information which can be digitalized and can be managed conveniently by a computer and a database technology; information which cannot be completely digitalized is called unstructured information, such as document files, pictures, drawing data, microfilms and the like, and the resources have a large amount of valuable evidence information, and along with the trend that the unstructured information is growing at a doubled speed, how to quickly and effectively process and reuse the unstructured information is one of the problems of analysis and processing at present.
In order to effectively analyze and manage the unstructured evidence files and solve the problems that the unstructured evidence files are not high in utilization rate and cannot be filed, an unstructured data management mechanism needs to be introduced. In general, analysis of unstructured data requires a strong computing power, a large amount of unstructured evidence files are converted into texts, and correlation, analysis and retrieval are performed on the texts. The process is time-consuming and labor-consuming, the quality of the converted data is good and uneven, and relatively uniform and accurate analysis dimensionality cannot be formed, so that the problems of difficulty in management, slow retrieval, low efficiency, high error rate and the like of unstructured data exist.
Disclosure of Invention
The technical problem to be solved by the invention is to overcome the defects of the prior art and provide an unstructured evidence file oriented analysis method and system, which can reduce the workload of developers, have uniform design implementation mode and can convert and manage unstructured evidence files.
In order to solve the technical problems, the technical scheme adopted by the invention is as follows.
An unstructured evidence file oriented analysis method, comprising the steps of:
A. a set of configuration rules are formulated for the web page control elements, and an interface analysis engine is constructed according to the configuration rules;
B. a set of mapping rules are formulated according to the DDL and DML statement characteristics of the database, and an intelligent filling engine is constructed according to the mapping rules;
C. b, configuring metadata information of the unstructured evidence file, configuring interface metadata according to the configuration rule formulated in the step A, and configuring data metadata according to the mapping rule formulated in the step B;
D. b, generating an important information form of the unstructured evidence file through the interface analysis engine constructed in the step A according to the interface metadata configured in the step C;
E. intelligently filling the important information form content generated in the step D through the intelligent filling engine constructed in the step B according to the data metadata configured in the step C;
F. e, uploading unstructured evidence files in the important information form generated in the step E, binding the form content and the unstructured evidence files, and then uniformly storing the form content and the unstructured evidence files in a database;
G. performing relevant display on the content generated in the step F in a mode of online preview of an important information form and a non-structural evidence file of the non-structural evidence file, and realizing multi-dimensional retrieval and analysis through the content of the important information form; and processing the unstructured evidence file is realized through online file preview and editing operation.
In the analysis method for the unstructured evidence file, the web page control elements in the step a include a text box, a drop-down box, a time selector and a list selection box; the configuration rule refers to the constraint which the user should obey when customizing the style and behavior of the web page control; the interface analysis engine refers to a code module for automatically generating a user interface according to a control configured by a user.
In the unstructured evidence file oriented analysis method, the implementation process of the step a includes the following steps:
A1. enumerating common web front-end controls, abstracting attributes and behaviors of the common web front-end controls, and extracting configuration points which can be defined by a user from characteristic points of each front-end control;
A2. and reading user configuration, and converting the user configuration into html/css/javascript codes which can be rendered by the front end of the browser by using a velocity template technology.
In the analysis method for the unstructured evidence file, in the step B, the database DML statement refers to a database structure definition language, the database DDL statement refers to a database content operation language, and the mapping rule refers to a constraint that a user should obey when defining the association relationship between the important information form field and the service data; the intelligent filling engine refers to a code module for automatically filling the service data for the interface control according to the incidence relation configured by the user.
In the unstructured evidence file oriented analysis method, the implementation process of the step B includes the following steps:
B1. acquiring a table structure and field information of a service database through service database connection information configured by a user;
B2. a user specifies which table and which field data in a database should be filled by a control in the interface element data of the unstructured evidence file according to business requirements;
B3. the intelligent filling engine automatically generates data acquisition SQL sentences according to user configuration;
B4. and after the intelligent filling engine acquires data from the business database, automatically binding the data with the important information form control.
In the method for analyzing an unstructured evidence file, the configuration process in step C includes the following steps:
C1. configuring a metadata dictionary, wherein the metadata dictionary comprises metadata categories and categories which can be associated with unstructured evidence files;
C2. configuring basic information of metadata, including name, classification and description;
C3. configuring interface element data information, including the number of controls, the types of the controls and the types of fields of a header, a form and a tail; the table head, the table and the table tail can all comprise a plurality of fields;
C4. and configuring data metadata information which comprises source service database connection information, form fields and mapping relations between the table structures and the fields of the service databases.
In the analysis method for the unstructured evidence file, the implementation process of step F includes the following steps:
F1. editing an important information form by a user and uploading an unstructured evidence file;
F2. the system stores the unstructured evidence file to a MongoDB database;
F3. the system stores the important information form information into a relational database;
F4. and binding the MongoDB database and the relational database.
In the unstructured evidence file oriented analysis method, the implementation process in the step G includes the following steps:
G1. the rapid positioning and classification statistics of the unstructured evidence files are realized by retrieving and analyzing the contents of the important information form;
G2. the functions of online preview, editing and conversion of the unstructured evidence file are realized through the OpenOffice technology.
An unstructured evidence file oriented analysis system comprises an interface analysis engine, an intelligent filling engine, a data metadata configuration unit, a data display and analysis unit and a database; wherein:
an interface analysis engine: the system is used for formulating a configuration rule of a web page control element, and is responsible for analyzing user configuration information into a front-end page control so as to realize the function of dynamically generating an important information form of an unstructured evidence file according to the configuration of a user;
the intelligent filling engine: the system is used for formulating a data mapping rule and is responsible for intelligently backfilling the generated important information form according to user configuration information;
a data metadata configuration unit: the interface metadata and the data metadata are used for configuring the unstructured evidence files to a database;
data presentation and analysis unit: the method is used for realizing the operations of retrieving, analyzing and previewing the non-structural evidence file.
Due to the adoption of the technical scheme, the technical progress of the invention is as follows.
According to the invention, when developing, developers can bind and backfill the information of the business database and the unstructured evidence files only by simple configuration aiming at each type of unstructured evidence files, the process can be completed without modifying codes, and the analysis of universal, efficient and stable unstructured data is realized; the method has the advantages of unified design and implementation mode, easier service management, capability of managing different databases and unstructured files, greatly reduced workload of developers, improved data reprocessing speed and capability of meeting the requirements of generalization, encapsulation and stability of unstructured evidence file management.
Drawings
FIG. 1 is a flow chart of the present invention;
FIG. 2 is a flow chart of step C of the present invention.
Detailed Description
The invention will be described in further detail below with reference to the figures and specific examples.
The flow of the unstructured evidence file oriented analysis method is shown in fig. 1, and specifically includes the following steps.
A. A set of configuration rules are formulated for the web page control elements, and an interface analysis engine is constructed based on a velocity template technology according to the configuration rules; for parsing the configuration rules.
The web page control elements comprise a text box, a drop-down box, a time selector and a list selection box; the configuration rule refers to the constraint which the user should obey when customizing the style and behavior of the web page control; the interface analysis engine refers to a code module for automatically generating a user interface according to a control configured by a user.
During specific operation, firstly listing common web front-end controls, abstracting the attributes and behaviors of the front-end controls, and extracting user-definable configuration points from the characteristic points of each front-end control; and secondly, reading user configuration, and converting the user configuration into html/css/javascript codes which can be rendered by the front end of the browser by using a velocity template technology.
B. A set of mapping rules are formulated according to the DDL and DML statement characteristics of the database, and an intelligent filling engine is constructed based on a dynamic SQL generation technology according to the mapping rules; for resolving the mapping rules.
The DML statement of the database refers to a database structure definition language, and the DDL statement of the database refers to a database content operation language; the mapping rule refers to the constraint which a user should obey when customizing the association relation between the important information form field and the service data; the intelligent filling engine refers to a code module for automatically filling the service data for the interface control according to the incidence relation configured by the user.
During specific operation, firstly, the table structure and field information of a service database are obtained through service database connection information configured by a user; secondly, a user specifies which table and which field data in the database should be filled by the control in the interface element data of the unstructured evidence file according to business requirements; then the intelligent filling engine automatically generates data acquisition SQL sentences according to user configuration; and finally, automatically binding the important information form control after the intelligent filling engine acquires data from the service database.
C. And B, configuring metadata information of the unstructured evidence file, configuring interface metadata according to the configuration rule formulated in the step A, configuring data metadata according to the mapping rule formulated in the step B, and storing the metadata information into a database.
The method for configuring metadata information in this step is shown in fig. 2, and specifically includes: configuring a metadata dictionary, wherein the metadata dictionary comprises metadata categories and categories which can be associated with unstructured evidence files; configuring basic information of metadata, including name, classification and description; configuring interface element data information, wherein the interface element data information comprises a header, a form and the number of controls, the type of the controls and the type of fields of the header, the form and the tail, and the header, the form and the tail all can contain a plurality of fields; and configuring data metadata information which comprises source service database connection information, form fields and mapping relations between the table structures and the fields of the service databases.
D. And B, generating an html/css/jquery code which can be resolved by the front end through the interface resolution engine constructed in the step A according to the interface metadata configured in the step C, returning the html/css/jquery code to the front end browser, and rendering the resolution content by the browser to obtain an important information form of the unstructured evidence file.
E. And C, generating a database query SQL by the intelligent filling engine constructed in the step B according to the data metadata configured in the step C, sending a query script to a service database query result, and then automatically binding the query script to an unstructured evidence file important information form.
F. E, uploading an unstructured evidence file in the important information form generated in the step E, binding the contents of the important information form with the unstructured evidence file, and then uniformly storing the contents in a database; the unstructured evidence files are stored in a MongoDB database, the contents of the form are stored in an Oracle relational database, and the MongoDB database and the relational database are bound.
G. Performing relevant display on the content generated in the step F in a mode of online preview of an important information form and the unstructured evidence file of the unstructured evidence file, and realizing rapid positioning and classification statistics of the unstructured evidence file by retrieving and analyzing the content of the important information form; and the operation processing of online preview, editing conversion and the like of the unstructured evidence file is realized through the OpenOffice technology.
The invention also provides an analysis system facing the unstructured evidence file, which comprises an interface analysis engine, an intelligent filling engine, a data metadata configuration unit, a data display and analysis unit and a database; wherein: an interface analysis engine: the system is used for formulating a configuration rule of a web page control element, and is responsible for analyzing user configuration information into a front-end page control so as to realize the function of dynamically generating an important information form of an unstructured evidence file according to the configuration of a user; the intelligent filling engine: the system is used for formulating a data mapping rule and is responsible for intelligently backfilling the generated important information form according to user configuration information; a data metadata configuration unit: the interface metadata and the data metadata are used for configuring the unstructured evidence files to a database; data presentation and analysis unit: the method is used for realizing the operations of searching, analyzing and previewing the non-structural evidence file.
The data display unit comprises an unstructured evidence file important information form display module and an unstructured evidence file display module; the display module of the important information form of the unstructured evidence file is used for retrieving, analyzing and editing the important information form, and the display module of the unstructured evidence file is used for online previewing, editing and converting unstructured data.
The invention can realize the general, high-efficiency and stable unstructured data analysis design, and the user can realize the data management of the complex unstructured evidence file only by simple configuration, thereby meeting the requirements of generalization, encapsulation and stability of the management of the unstructured evidence file.
Claims (4)
1. An unstructured evidence file oriented analysis method, characterized in that the analysis method comprises the following steps:
A. a set of configuration rules are formulated for the web page control elements, and an interface analysis engine is constructed according to the configuration rules; the web page control elements comprise a text box, a drop-down box, a time selector and a list selection box; the configuration rule refers to the constraint which is complied with when the user customizes the style and behavior of the web page control; the interface analysis engine refers to a code module for automatically generating a user interface by the system according to a control configured by a user;
the implementation process of the step A comprises the following steps:
A1. enumerating common web front-end controls, abstracting attributes and behaviors of the common web front-end controls, and extracting configuration points which can be defined by a user from characteristic points of each front-end control;
A2. reading user configuration, and converting the user configuration into html/css/javascript codes which can be rendered at the front end of the browser by using a velocity template technology;
B. a set of mapping rules are formulated according to the DDL and DML statement characteristics of the database, and an intelligent filling engine is constructed according to the mapping rules; the database DML statement refers to a database structure definition language, the database DDL statement refers to a database content operation language, and the mapping rule refers to a constraint which a user should obey when defining the incidence relation between the important information form field and the service data; the intelligent filling engine refers to a code module for automatically filling service data for the interface control by the system according to the incidence relation configured by the user;
the implementation process of the step B comprises the following steps:
B1. acquiring a table structure and field information of a service database through service database connection information configured by a user;
B2. a user specifies which table and which field data in a database should be filled by a control in the interface element data of the unstructured evidence file according to business requirements;
B3. the intelligent filling engine automatically generates data acquisition SQL statements according to user configuration;
B4. after the intelligent filling engine acquires data from the business database, automatically binding the data with the important information form control;
C. configuring metadata information of the unstructured evidence file, configuring interface metadata according to the configuration rule set in the step A, and configuring data metadata according to the mapping rule set in the step B;
the configuration process of step C comprises the steps of:
C1. configuring a metadata dictionary, wherein the metadata dictionary comprises metadata categories and categories which can be associated with unstructured evidence files;
C2. configuring basic information of metadata, including name, classification and description;
C3. configuring interface element data information including the number of controls, the types of the controls and the types of fields of a header, a form and a tail of the form; the header, the form and the tail of the form all comprise a plurality of fields;
C4. configuring data metadata information which comprises source service database connection information, form fields and mapping relations between the form structures and the fields of the service database;
D. generating an important information form of the unstructured evidence file through the interface analysis engine constructed in the step A according to the interface metadata configured in the step C;
E. b, intelligently filling the important information form content generated in the step D through the intelligent filling engine constructed in the step B according to the configured data metadata in the step C; the method specifically comprises the following steps: b, generating a database query SQL by the intelligent filling engine constructed in the step B according to the data metadata configured in the step C, sending a query script to a service database query result, and then automatically binding the query script to an unstructured evidence file important information form;
F. e, uploading unstructured evidence files in the important information form generated in the step E, binding the form content and the unstructured evidence files, and then uniformly storing the form content and the unstructured evidence files in a database;
G. performing relevant display on the content generated in the step F in a mode of online preview of an important information form and a non-structural evidence file of the non-structural evidence file, and realizing multi-dimensional retrieval and analysis through the content of the important information form; and processing the unstructured evidence file is realized through online file preview and editing operation.
2. The unstructured evidence file oriented analysis method according to claim 1, wherein the implementation process of step F comprises the following steps:
F1. editing an important information form by a user and uploading an unstructured evidence file;
F2. the system stores the unstructured evidence file to a MongoDB database;
F3. the system stores the important information form information into a relational database;
F4. and binding the MongoDB database and the relational database.
3. The unstructured evidence file oriented analysis method of claim 1, wherein the implementation process in the step G comprises the following steps:
G1. the rapid positioning and classification statistics of the unstructured evidence files are realized by retrieving and analyzing the contents of the important information form;
G2. the functions of online preview, editing and conversion of the unstructured evidence file are realized through the OpenOffice technology.
4. An unstructured evidence file oriented analysis system, which adopts the unstructured evidence file oriented analysis method of any one of claims 1 to 3, characterized in that: the system comprises an interface analysis engine, an intelligent filling engine, a data metadata configuration unit, a data display and analysis unit and a database; wherein:
an interface analysis engine: the system is used for formulating a configuration rule of a web page control element, and is responsible for analyzing user configuration information into a front-end page control so as to realize the function of dynamically generating an important information form of an unstructured evidence file according to the configuration of a user;
the intelligent filling engine: the system is used for formulating a data mapping rule and is responsible for intelligently backfilling the generated important information form according to user configuration information;
a data metadata configuration unit: the interface metadata and the data metadata are used for configuring the unstructured evidence files to a database;
data presentation and analysis unit: the method is used for realizing the operations of searching, analyzing and previewing the non-structural evidence file.
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| CN110675121A (en) * | 2019-09-23 | 2020-01-10 | 珠海市新德汇信息技术有限公司 | Method for collecting picture type file material |
| CN111831274B (en) * | 2020-06-29 | 2023-10-20 | 中孚信息股份有限公司 | Metadata analysis engine configuration system, method, terminal and readable storage medium |
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| CN113377950A (en) * | 2021-06-02 | 2021-09-10 | 浪潮软件股份有限公司 | Method for realizing flat storage and real-time preview of unstructured document |
| CN113535842A (en) * | 2021-09-13 | 2021-10-22 | 深圳世纪网通数据有限公司 | Clue analysis method and system for importing compatibility data and readable storage medium |
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