A big data management and analysis system for legal information

Abstract

The present invention discloses a big data management and analysis system for legal information, including a client information terminal, a wireless transmission module, a data management system, a data optimization module, a data storage terminal, and a legal information terminal. The present invention relates to the technical field of data management and analysis. The big data management and analysis system for legal information, by setting up a data management system, receives the data of the client, and according to the weight templates of the legal affairs for different events, completes the operations of consulting and extracting the data through data processing. After traversing, the missing data items in the weight templates are marked and sent to the client information terminal for one-time filling. In this way, not only can the data management be realized targeted, but also based on the acquisition of event data, the filling compensation with the client can be completed at one time in one file, improving the accuracy of the data, facilitating the subsequent processing operations of the client and the legal affairs, and also facilitating the subsequent use and management of the data.

Description

Technical Field

[0001] The present invention relates to the technical field of data management and analysis, and particularly to a big data management and analysis system for legal information. Background Art

[0002] Food processing refers to the activities of cereal milling, feed processing, vegetable oil and sugar processing, slaughtering and meat processing, aquatic product processing, and the processing of foods such as vegetables, fruits, and nuts directly using agricultural, forestry, animal husbandry, and fishery products as raw materials, as well as the processing of potatoes, dehydrated vegetables, and canned vegetables. It is a type of the broad agricultural product processing industry. Food processing is to make edible things undergo certain procedures to achieve better taste or more beneficial changes; the process of transforming raw grains or other raw materials through artificial treatment into a new form of directly edible product is food processing.

[0003] Refer to the patent named: A Legal Affairs Management Cloud System (Patent Publication No.: CN117196501A, Patent Publication Date: December 8, 2023), which includes a project full life cycle management module, a project training management module, a customer display management module, and a basic management module. The project full life cycle management module includes a project management knowledge base, a full process automation reach module, a project management progress control module, a project operation data efficiency analysis module, and a project management data report summary module. The basic management module includes a main management personnel account allocation and permission management module, a personnel flow project handover module, and a communication and collaboration module. The project management data report summary module is provided with a project data performance sub-module and a dimension index setting sub-module, which can effectively master the project progress, project information synchronization, high task execution efficiency, low learning cost, and low handover cost.

[0004] Based on the description of the above document, in the existing legal information management operations, especially in the interactive management operations of the pre-stage data between the client and the legal affairs side, the client fails to recognize the importance of the specific data of the event. When the legal affairs side checks and finds that there is a lack of a lot of important data, it needs to communicate with the client one by one, resulting in a delay in the data interactive management and inaccurate data, which affects the subsequent management operations. Therefore, the present invention provides a big data management and analysis system for legal information. Summary of the Invention

[0005] In view of the deficiencies of the prior art, the present invention provides a big data management and analysis system for legal information, which solves the problems in the existing legal information management operations, especially in the interactive management operations of the early-stage data between the client and the legal department. In the existing operations, the client fails to recognize the importance of the specific data of the event, and after the legal department checks, it is found that there is a lack of a large amount of important data, so it is necessary to communicate with the client one by one, resulting in delays in the interactive management of data and inaccurate data, which affects subsequent management operations.

[0006] To achieve the above objectives, the present invention is realized through the following technical solutions: A big data management and analysis system for legal information, including:

[0007] A client information terminal, which contains the claim data and actual data of the event and transmits them to the data management system;

[0008] A wireless transmission module, which realizes the remote transmission operation of data through wireless communication technology and realizes the storage of data;

[0009] A data management system, which receives the client's data, and based on the weight templates for different events formulated by the legal department, completes the operation of viewing and extracting the data through data processing. Then, after traversing, it marks the missing data items in the weight template and feeds them back to the client information terminal for one-time filling. After the filling is completed, the data is filled again;

[0010] A data optimization module, which transmits the data filled by the client information terminal and fills it into the weight template with data in the data management system;

[0011] A data storage terminal, which is used for collecting the data generated by the client information terminal and the legal information terminal, and stores the data processed by the data management system;

[0012] A legal information terminal, which generates weight templates for different events, receives client information, and realizes the processing operation of events for the client information.

[0013] Preferably, the data management system includes:

[0014] A data conversion and storage module, which converts voice data into text data, and stores the original data and the converted data in the data storage terminal;

[0015] A data viewing and extraction module, which conducts a viewing operation on the converted text data, matches the corresponding weight template, and realizes the extraction operation of the text data content through data processing based on the weight template, and marks the unfilled data items;

[0016] The data feedback and sending module sends the missing data items in the weight template to the client information terminal, and sends the matched data to the legal information terminal.

[0017] Preferably, the operation of the data conversion and storage module for converting voice data into text data is as follows:

[0018] A1. Extract the voice data, perform frame processing on the voice data, and segment it into multiple voice segments;

[0019] A2. Extract a text matching data set from the data storage terminal and identify it with the corresponding voice segment, and convert each voice segment into text data one by one;

[0020] A3. Sort the text data in the order of the corresponding voice segments to form the converted text data.

[0021] Preferably, the operation of the data access and extraction module for accessing the converted text data is as follows:

[0022] B1. Establish a repair model through sentence structure and language expression, and introduce the converted text data into the repair model;

[0023] B2. Modify the content with unsmooth semantics or error symbols in the text data to obtain the required text data set marked as M;

[0024] B3. Extract the main content summary according to the content expressed in the text data set M, and match the corresponding weight template provided by the legal terminal according to the content summary.

[0025] Preferably, the operation of the data access and extraction module for extracting the content of the text data based on the weight template and through data processing is as follows:

[0026] C1. Extract the type content corresponding to different weight ratios according to the weight template, and perform sorting according to the weight ratio to perform subsequent data extraction operations in sequence;

[0027] C2. Perform the operation of identifying and extracting the content in the text data set M according to the sorted type content, introduce the extracted features into the corresponding type content of the weight template for data filling, and perform the extraction operation of the next type content after the filling is completed;

[0028] C3. After completing the content recognition operation of all type contents on the text data set M, form a weight template with data, and supplement the data with other display methods to the weight template of the corresponding type content.

[0029] Preferably, the specific operation for implementing content recognition and extraction in C2 for the text data set M is as follows:

[0030] c21. Match the type content corresponding to the weight template with the text data set M, search for the same or similar type titles, determine the positions of the data content to be extracted, and mark them;

[0031] c22. Set an extraction window labeled as N(x, y), where x represents the length of the extraction window and y represents the width of the window. Based on the marked content extraction positions in the text data set M, perform an expansion operation on the extraction window N(x, y);

[0032] c23. Compare x with the length of the data content text, and compare y with the width of the data content text. The length of the data content text is labeled as p, and the width of the data content text is labeled as q, and perform an expansion operation according to different situations;

[0033] c24. Implement the extraction operation for each line of the content according to the expanded extraction window until all the marked content positions are extracted.

[0034] Preferably, the specific expansion operation in c23 is as follows:

[0035] d1. When x < p and y ≥ q, only the length of the extraction window needs to be expanded;

[0036] d2. When x ≥ p and y < q, only the width of the extraction window needs to be expanded, and compare the width of each line of the selected data content, and select the maximum data content text width q max as the width of the extraction window;

[0037] d3. When x < p and y < q, both the length and the width of the extraction window need to be expanded, and compare the width and length of each line of the selected data content, and select the maximum data content text width q max and the maximum data content text length p max as the width and the length of the extraction window.

[0038] Preferably, the specific expression of the recognition and extraction operation in C2 is:

[0039] ;

[0040] F represents the content extracted for the corresponding type title, N(x, y n ) represents the data content under the nth row at the required extraction position, and n represents the number of rows of the content at the required extraction position;

[0041] That is, the expression of the expanded extraction operation is:

[0042] .

[0043] Preferably, the data review and extraction module marks the unfilled data items as follows:

[0044] E1. By checking the weight template with data, mark the data items that are not filled with data or are missing data in the corresponding weight template;

[0045] E2. Annotate the specific textual description structure and sample content corresponding to the marked data item, combine them to form an unfilled data template and send it to the client terminal for supplementary operation.

[0046] Preferably, the specific operations of the data optimization module are:

[0047] After checking the corresponding unfilled data template, the customer enters the corresponding content according to the remarks;

[0048] Then, under the transmission of the data optimization module, the weight template with data is directly optimized, and the corresponding content is added into the weight template to form a weight template with complete data.

[0049] The present invention provides a big data management and analysis system for legal information. Compared with the prior art, it has the following beneficial effects:

[0050] (1) The big data management and analysis system for legal information is provided with a data management system to receive the customer's data, and completes the data review and extraction operations according to the weight template of the legal department for different events through data processing, and then marks the missing data items in the weight template after traversal and sends them back to the customer information end for one-time filling. After the filling is completed, the data is filled again. In this way, not only can the data management be realized in a targeted manner, but also based on the acquisition of event data, the filling compensation can be completed with the customer in one file at one time, thereby improving the accuracy of the data, facilitating the subsequent processing operations of the customer and the legal department, and also facilitating the subsequent use and management of the data.

[0051] (2) The big data management and analysis system for legal information is provided with a data review and extraction module. By reviewing the converted text data, the corresponding weight template is matched, and the text data content is extracted according to the weight template and through data processing, and the unfilled data items are marked, so that data can be extracted through the extraction window. It can be applied to texts of different types or formats, accurately complete data identification and extraction operations, and realize legal information data management and analysis operations.

[0052] (3) The big data management and analysis system for legal information directly realizes the optimization operation of the weight template with data through the setting of a data optimization module, and fills the corresponding content into the weight template to form a weight template with complete data. Based on the marked unfilled items, the improvement operation of the weight template can be directly completed, omitting the intermediate extraction steps, making the data processing operation more efficient, and at the same time improving the efficiency of the previous data interaction and collection operations. BRIEF DESCRIPTION OF THE DRAWINGS

[0053] Figure 1 is the principle block diagram of the data management and analysis system of the present invention;

[0054] Figure 2 is the operation flowchart of the data conversion and storage module of the present invention;

[0055] Figure 3 is the operation flowchart of the data query and extraction module of the present invention;

[0056] Figure 4 is the operation flowchart of the content identification and extraction of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0057] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0058] Please refer to Figures 1 - 4 , the present invention provides two technical solutions:

[0059] Embodiment 1. A big data management and analysis system for legal information, including:

[0060] A client information terminal, which contains the claim data and actual data of an event and transmits them to the data management system;

[0061] A wireless transmission module, which realizes the remote transmission operation of data through wireless communication technology and realizes the storage of data;

[0062] A data management system, which receives the data of the client, and based on the weight template of the legal affairs for different events, completes the operation of querying and extracting the data through data processing, and then marks the missing data items in the weight template after traversing and feedbacks and sends them to the client information terminal for one-time filling. After the filling is completed, the data is filled again;

[0063] A data optimization module that transmits and fills the data filled in by the client information terminal into the data management system to form a weight template with data;

[0064] A data storage terminal for collecting data generated by the client information terminal and the legal information terminal, and storing the data processed by the data management system;

[0065] A legal information terminal that generates weight templates for different events, receives client information, and implements event processing operations for the client information.

[0066] Among them, by setting up a data management system, receiving client data, referring to the weight templates for different events by the legal department and completing the operations of viewing and extracting data through data processing, then marking and feeding back the missing data items in the weight template to the client information terminal for one-time filling after traversal. After the filling is completed, data filling is carried out again. In this way, not only can data management be realized targeted, but also based on the acquisition of event data, filling compensation with the client can be completed in one file at a time, improving the accuracy of data, facilitating subsequent processing operations of the client and the legal department, and also facilitating the subsequent use and management of data.

[0067] In the embodiment of the present invention, the data management system includes:

[0068] A data conversion and storage module that converts voice data into text data, and stores the original data and the converted data in the data storage terminal;

[0069] A data viewing and extraction module that performs viewing operations on the converted text data, matches the corresponding weight template, and realizes the extraction operation of the text data content through data processing according to the weight template, and marks the unfilled data items;

[0070] A data feedback and sending module that feeds back and sends the missing data items in the weight template to the client information terminal, and sends the matched data to the legal information terminal.

[0071] In the embodiment of the present invention, the operation of the data conversion and storage module converting voice data into text data is as follows:

[0072] A1. Complete the extraction of voice data, perform frame processing on the voice data, and segment it into multiple voice segments;

[0073] A2. Extract a text matching data set from the data storage terminal and identify it with the corresponding voice segment, and convert each voice segment into text data one by one;

[0074] A3. Sort the text data in the order of the corresponding voice segments to form the converted text data.

[0075] In the embodiment of the present invention, the operation of consulting the converted text data in the data consulting and extraction module is as follows:

[0076] B1. Establish a repair model through sentence structure and language expression, and introduce the converted text data into the repair model;

[0077] B2. Modify the content with unsmooth semantics or error symbols in the text data to obtain the required text data set marked as M;

[0078] B3. Extract the main content summary according to the content expressed in the text data set M, and match the corresponding weight template that should be provided by the legal affairs terminal according to the content summary.

[0079] In the embodiment of the present invention, the operation of extracting the content of the text data by the data consulting and extraction module based on the weight template through data processing is as follows:

[0080] C1. Extract the type content with corresponding different weight ratios according to the weight template, and perform sorting according to the weight ratio to perform subsequent data extraction operations in sequence;

[0081] C2. Perform the operation of identifying and extracting the content in the text data set M according to the sorted type content, introduce the extracted features into the corresponding type content of the weight template for data filling, and perform the extraction operation of the next type content after the filling is completed;

[0082] C3. After completing the content identification operation of all type contents on the text data set M, form a weight template with data, and supplement the data with other display methods into the weight template of the corresponding type content.

[0083] In the embodiment of the present invention, the specific operation of identifying and extracting the content in the text data set M in C2 is as follows:

[0084] c21. Match the type content corresponding to the weight template with the text data set M, find the same or similar type titles, determine the position of the data content to be extracted and mark it;

[0085] c22. Set an extraction window marked as N(x, y), where x represents the length of the extraction window and y represents the width of the window. Based on the marked content extraction position of the text data set M, perform an expansion operation on the extraction window N(x, y);

[0086] c23. Compare x with the length of the data content text and y with the width of the data content text. The length of the data content text is marked as p and the width of the data content text is marked as q, and perform an expansion operation according to different situations;

[0087] c24. Implement the extraction operation for each line of the content based on the expanded extraction window until all the marked content positions are extracted.

[0088] Among them, by setting up a data access and extraction module, through the operation of accessing the transformed text data, matching the corresponding weight templates, and realizing the extraction operation of the text data content based on the weight templates and through data processing, and marking the unfilled data items, so as to extract data through the extraction window, thus it can be applicable to different types or formats of texts, accurately complete the data recognition and extraction operations, and realize the legal information data management and analysis operations.

[0089] In the embodiment of the present invention, the specific expansion operation in c23 is as follows:

[0090] d1. When x < p and y ≥ q, only the length of the extraction window needs to be expanded;

[0091] d2. When x ≥ p and y < q, only the width of the extraction window needs to be expanded, and compare the width of each line of the selected data content, and select the maximum data content width q max As the width of the extraction window;

[0092] d3. When x < p and y < q, both the length and the width of the extraction window need to be expanded, and compare the width and length of each line of the selected data content, and select the maximum data content width q max and the maximum data content length p max As the width of the extraction window and the length of the extraction window.

[0093] In the embodiment of the present invention, the specific expression of the recognition and extraction operation in C2 is:

[0094] ;

[0095] F represents the content extracted for the corresponding type of title, N(x, y n ) represents the data content under the nth line at the required extraction position, and n represents the number of lines of the content at the required extraction position;

[0096] That is, the expression of the expanded extraction operation is:

[0097] .

[0098] In the embodiment of the present invention, the operation of the data access and extraction module to mark the unfilled data items is:

[0099] E1. By performing a verification operation on the weight template with data, mark the data items in the corresponding weight template that have no data filled or lack data.

[0100] E2. Make remarks on the specific text description structure and example content corresponding to the marked data items, and combine them to form an unfilled data template and send it to the client terminal for supplementary operations.

[0101] In the embodiment of the present invention, the specific operation of the data optimization module is as follows:

[0102] After the client views the corresponding unfilled data template, input the corresponding content according to the remarks.

[0103] Then, under the transmission of the data optimization module, directly perform an optimization operation on the weight template with data, and supplement the corresponding content into the weight template to form a weight template with complete data.

[0104] Among them, by setting up a data optimization module, directly perform an optimization operation on the weight template with data under the transmission of the data optimization module, and supplement the corresponding content into the weight template to form a weight template with complete data. Based on the marked unfilled items, the improvement operation of the weight template can be directly completed, saving the intermediate extraction steps, making the data processing operation more efficient, and at the same time improving the efficiency of the previous data interaction and collection operations.

[0105] Embodiment 2. The difference compared with Embodiment 1 is that:

[0106] By applying the existing big data management and analysis system for legal information and the big data management and analysis system for legal information of the present invention to multiple identical client terminals and legal terminals, transmit the data of the actual events of the client to the legal terminal. The time required by the client is the normal time and is not delayed by other events. After the feedback arrives, data filling operations are performed immediately, recording the integrity of the event data and the data required by the legal department, as well as the time from data reception to the completion of the event data improvement to the distribution. The specific results are shown in Table 1:

[0107] Table 1 Situation Table

[0108] Average data filling integrity Average pre - processing time of previous data Existing data management and analysis system 68% 43 min Data management and analysis system of the present invention 98% 15 min

[0109] In summary, the big data management and analysis system for legal information of the present invention has a higher integrity of event data filling when applied to multiple identical client terminals and legal terminals, shorter time for pre - data processing, faster data management and analysis operation efficiency, and can better implement the management and analysis operation of legal information.

[0110] Meanwhile, the content not described in detail in this specification belongs to the prior art well-known to those skilled in the art.

[0111] It should be noted that, in this article, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the term "comprising", "including" or any other variant thereof is intended to cover non-exclusive inclusion, so that a process, method, article or device comprising a series of elements not only includes those elements, but also includes other elements not expressly listed, or further includes elements inherent to such process, method, article or device.

[0112] Although the embodiments of the present invention have been shown and described, for those of ordinary skill in the art, it can be understood that various changes, modifications, substitutions and variations can be made to these embodiments without departing from the principle and spirit of the present invention. The scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A big data management and analysis system for legal information, characterized in that: Including: A client information terminal, which contains appeal data and actual data about an event and transmits them to a data management system; A wireless transmission module, which realizes remote transmission operations of data through wireless communication technology and realizes data storage; A data management system, which receives data from the client, completes operations of accessing and extracting data based on the weight templates for different events by the legal department and through data processing, then marks the missing data items in the weight templates after traversal and feedbacks and sends them to the client information terminal for one-time filling, and fills the data after the filling is completed; A data optimization module, which transmits and fills the data filled by the client information terminal into the data management system to form a weight template with data; A data storage terminal, which is used for collecting data generated by the client information terminal and the legal information terminal and stores the data processed by the data management system; A legal information terminal, which generates weight templates for different events, receives client information, and realizes event processing operations for the client information; The data management system includes: A data conversion and storage module, which converts voice data into text data and stores the original data and the converted data in the data storage terminal; A data access and extraction module, which accesses the converted text data, matches the corresponding weight template, realizes the extraction operation of the text data content based on the weight template and through data processing, and marks the unfilled data items; A data feedback and sending module, which feedbacks and sends the missing data items in the weight template to the client information terminal, and sends the matched data to the legal information terminal; In the data access and extraction module, the operation of accessing the converted text data is as follows: B1. Establish a repair model through sentence structure and language expression, and introduce the converted text data into the repair model; B2. Modify the content with unsmooth semantics or error symbols in the text data to obtain the required text data set marked as M; B3. Extract the main content summary according to the content expressed by the text data set M, and match the corresponding weight template that should be provided by the legal terminal according to the content summary; The operation of the data access and extraction module realizing the extraction operation of the text data content based on the weight template and through data processing is as follows: C1. Extract the type content corresponding to different weight ratios according to the weight template, and perform subsequent sequential data extraction operations according to the weight ratio; C2. Realize the operation of identifying and extracting the content in the text data set M according to the sorted type content, introduce the extracted features into the corresponding type content of the weight template for data filling, and perform the extraction operation of the next type content after the filling is completed; C3. After completing the content recognition operations of all type contents on the text data set M, form a weight template with data, and supplement the data with other display methods to the weight template of the corresponding type content; The specific operation of realizing the identification and extraction of the content in the text data set M in C2 is as follows: c21. Match the type content corresponding to the weight template with the text data set M, search for the same or similar type titles, determine the positions of the data content to be extracted, and mark them; c22. Set an extraction window labeled as N(x, y), where x represents the length of the extraction window and y represents the width of the window. Based on the marked content extraction positions corresponding to the text data set M, perform an expansion operation on the extraction window N(x, y); c23. Compare x with the character length of the data content and y with the character width of the data content. The character length of the data content is labeled as p, and the character width of the data content is labeled as q, and perform an expansion operation according to different situations; c24. Implement the extraction operation for each line of the content based on the expanded extraction window until all the marked content positions are extracted.

2. The big data management and analysis system for legal information according to claim 1, characterized in that: The operation of the data conversion and storage module to convert voice data into text data is as follows: A1. Complete the extraction of the voice data, perform frame processing on the voice data, and segment it into multiple voice segments; A2. Extract the text matching data set from the data storage terminal and identify it with the corresponding voice segment, and convert each voice segment into text data one by one; A3. Sort the text data in the order of the corresponding voice segments to form the converted text data.

3. The big data management and analysis system for legal affairs information according to claim 1, characterized in that: The specific expansion operation in c23 is as follows: d1. When x < p and y ≥ q, only the length of the extraction window needs to be expanded; d2. When x ≥ p and y < q, only the width of the extraction window needs to be extended, and the width of the text content of each line of the selected data is compared to select the maximum width q of the data content text max as the width of the extraction window; d3. When x < p and y < q, it is necessary to expand both the length and the width of the extraction window, and compare the width and the length of the text content of each line of the selected data, and select the maximum width q of the text content of the data max and the maximum length p of the text content of the data max as the width and the length of the extraction window 4. A big data management and analysis system for legal information according to claim 1, characterized in that: The operation of the data review and extraction module to mark the unfilled data items is as follows: E1. Through the verification operation on the weight template with data, mark the data items in the corresponding weight template without data filling or lacking data; E2. Make a note of the specific text description structure and example content corresponding to the marked data items, and combine them to form an unfilled data template and send it to the client terminal for supplementary operation.

5. A big data management and analysis system for legal information according to claim 4, characterized in that: The specific operation of the data optimization module is as follows: After the customer views the corresponding unfilled data template, input the corresponding content according to the note content; Then, directly implement the optimization operation on the weight template with data under the transmission of the data optimization module, and fill the corresponding content into the weight template to form a weight template with complete data.

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