Intelligent management method for data service opening capability

Abstract

The invention discloses a data service opening capability intelligent management method, and belongs to the technical field of data management. The consultation data of the first user and the feedback data of the second user are monitored, recorded, screened, analyzed and effectively utilized, and the content of the corresponding position in the source data is actively supplemented and updated according to the analysis result, so that the communication data utilization capability and the autonomous updating and perfecting capability of sharing open data are improved; a subsequent user can know difficult or uncommon explanation content in the source data more efficiently and conveniently; through carrying out expansion statistics and analysis on the source data which is subjected to autonomous content updating in different data fields, dynamic management can be carried out on requirements when the source data in the subsequent different data fields are uploaded; the method and the device are used for solving the technical problems that communication data among users cannot be analyzed and utilized and the content of open shared source data cannot be dynamically updated, managed and controlled autonomously in the existing scheme.

Description

Technical Field

[0001] The present invention relates to the technical field of data management, and in particular to a method for intelligent management of data service openness capabilities. Background Art

[0002] Data service openness capability refers to the ability of an institution or enterprise to provide open data services to external users, including the following aspects: data openness capability, data quality assurance capability, data security assurance capability, data usage supervision capability and data service support capability.

[0003] The existing data service open capability management solutions have certain defects in technical support and document maintenance and updating during implementation. The existing technical solutions cannot analyze and utilize the communication data between users and independently dynamically update and control the content of open shared source data, resulting in poor autonomous content update capabilities of open shared data. Summary of the invention

[0004] The purpose of the present invention is to provide a data service open capability intelligent management method for solving the technical problem that the existing solutions cannot analyze and utilize the communication data between users and independently dynamically update and control the content of open shared source data.

[0005] The purpose of the present invention can be achieved by the following technical solutions:

[0006] A data service open capability intelligent management method, comprising:

[0007] The first recorded data is obtained by tracking and recording the consultation situation of the first user after downloading the data on the data service development platform, and the second recorded data is obtained by tracking and recording the feedback situation of the second user in answering the consultation question of the first user;

[0008] Screening the first record data and the second record data for valid data, and using the screened valid data to dynamically update the source data uploaded by the second user with valid consulting content; including:

[0009] Obtain all consulting keyword arrays in the first record data in the sorted order of the consulting keyword array set, and traverse and match all consulting keywords in all consulting keyword arrays with the source data content downloaded by the first user in turn, and if there is a keyword identical to the consulting keyword in the source data, determine the selected keyword and the verification keyword according to the consulting keyword identical to the keyword in the source data;

[0010] When implementing consultation validity verification for the selected keywords, a number of verification keywords are traversed and matched with a valid keyword library pre-stored in the database;

[0011] If there is a verification keyword in the valid keyword library, a valid label for the consulting statement is generated and the consulting statement corresponding to the selected keyword is marked as a valid consulting statement. The feedback validity verification is performed on the feedback data of the valid consulting statement to filter and process the feedback statement of the second user and the data at the corresponding position in the source data is updated autonomously.

[0012] Statistics are collected on the data fields corresponding to the autonomous dynamic updates of all valid consulting contents, and data calculations are performed on the historical autonomous dynamic update monitoring data of valid consulting contents in different data fields to obtain the degree of autonomous necessity. Based on the degree of autonomous necessity, dynamic management and control are performed on the sharing and opening of subsequent source data uploads in different data fields.

[0013] In an optional implementation, after the first registered user downloads data on the data service development platform, the second user who uploaded the data is consulted through the contact information associated with the downloaded data and a consultation traceability record is initiated;

[0014] Obtain the first user's registered account and the data number corresponding to the downloaded data, obtain the data field, data label, the second user account that uploaded the data, and the upload time point corresponding to the data according to the data number, and combine them to obtain the downloaded data mining data;

[0015] Obtaining the consultation statement issued by the first user and performing keyword extraction, combining the consultation time point corresponding to the consultation statement and a number of consultation keywords to obtain a consultation keyword array, and arranging and combining all the consultation keyword arrays in the order of consultation time to obtain a consultation keyword array set;

[0016] The first user's registered account number, the data number corresponding to the downloaded data, the downloaded data mining data and the consulting keyword array set constitute the first record data and are uploaded to the cloud platform in real time.

[0017] In an optional implementation, when the second user answers the first user's inquiry and performs a retrospective record, the feedback statements issued by the second user and the corresponding feedback time points are obtained, and all the feedback statements and the corresponding feedback time points are sorted and combined in the order of reply time to obtain a feedback statement combination set;

[0018] The second user account of the second user and the feedback sentence combination set constitute the second record data and are uploaded to the cloud platform in real time.

[0019] In an optional implementation, the consulting keyword that is the same as the keyword in the source data is marked as a selected keyword, and the consulting keyword array corresponding to the selected keyword is marked as a selected array, and several consulting keywords located before and after the selected keyword in the selected array are marked as verification keywords.

[0020] In an optional implementation, when verifying the validity of feedback data based on a valid consultation statement, the valid consultation time point corresponding to the valid consultation statement is obtained, and all feedback statements fed back by the second user between the valid consultation time point and the consultation time point corresponding to the next consultation statement are obtained and combined to obtain a target feedback statement set.

[0021] In an optional implementation, all feedback sentences in the target feedback sentence set are subjected to text preprocessing and combination by using a text preprocessing technology to obtain a target feedback processing sentence, and the target feedback processing sentence is associated with the selected keyword by means of a hyperlink and updated by using a striking color.

[0022] When the communication between the first user and the second user is completed, a verification instruction is generated, and according to the verification instruction, the source data after the autonomous content update is pushed to the second user for confirmation of the autonomous content update.

[0023] In an optional implementation, text preprocessing includes stop word filtering and stem extraction or regular expressions.

[0024] In an optional implementation, the total number of source data uploaded for open sharing in different data fields is counted in turn, and the total number of source data updates for autonomous content updates in different data fields is counted, and the ratio between the total number of source data updates and the total number of source data is calculated and set as the degree of autonomous necessity;

[0025] All data fields are sorted in descending order according to the numerical values ​​of the autonomous necessity, and the first N data fields are marked as necessary update data fields, and the remaining data fields are marked as non-necessary update data fields; N is a positive integer.

[0026] In an optional implementation, when the sharing and opening of subsequent source data uploads are dynamically managed, when a second user uploads source data belonging to the necessary update data field, a prompt is provided to provide additional explanations of the proper nouns, and when a second user uploads source data belonging to the non-necessary update data field, the existing upload requirements are maintained.

[0027] Compared with the existing solutions, the present invention achieves the following beneficial effects:

[0028] The present invention monitors and records the consultation data of the first user and the feedback data of the second user, and screens and analyzes the consultation statements and feedback statements between the first user and the second user and effectively utilizes them, and actively supplements and updates the content of the corresponding position in the source data according to the analysis results, thereby improving the communication data utilization capability and the autonomous updating and improvement capability of shared open data, so that subsequent users can more efficiently and conveniently understand the difficult or unfamiliar explanation content in the source data, and at the same time breaks the data barrier for the interactive utilization of consultation data and feedback data in the existing technical solutions.

[0029] The present invention can not only obtain the autonomous content update status of different data fields by performing extended statistics and analysis on the source data of autonomous content updates in different data fields, but also dynamically manage the requirements for subsequent uploading of source data in different data fields. It can improve the readability of source data download and utilization from the source and reduce the subsequent communication costs and impacts between the first user and the second user. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] The present invention will be further described below in conjunction with the accompanying drawings.

[0031] Figure 1 The present invention is a flowchart of a method for intelligent management of data service open capabilities.

[0032] Figure 2 A flowchart of obtaining effective consultation statements in the present invention.

[0033] Figure 3 It is a flowchart of the feedback validity verification implementation in the present invention. DETAILED DESCRIPTION

[0034] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary operation and maintenance personnel in this field without creative work are within the scope of protection of the present invention.

[0035] like Figure 1 As shown, the present invention is a data service open capability intelligent management method, comprising:

[0036] The first recorded data is obtained by tracking and recording the consultation situation of the first user after downloading the data on the data service development platform, and the second recorded data is obtained by tracking and recording the feedback situation of the second user answering the consultation question of the first user; including:

[0037] After the first registered user downloads the data on the data service development platform, the second user who uploaded the data is consulted through the contact information associated with the downloaded data and the consultation tracing record is initiated;

[0038] The first user is a user who downloads the development and sharing source data, and the second user is a user who uploads the development and sharing source data; the source data includes but is not limited to documents and codes;

[0039] In addition, the contact information in this application needs to be contacted through the contact module in the site so that the processing, analysis and utilization of the communication feedback data can be implemented later, and the monitoring, analysis and processing of the communication data between the first user and the second user need to be authorized and agreed by both parties in advance;

[0040] Obtain the first user's registered account and the data number corresponding to the downloaded data, obtain the data field, data label, the second user account that uploaded the data, and the upload time point corresponding to the data according to the data number, and combine them to obtain the downloaded data mining data; the data field and the data label are selected and determined according to when the second user uploads the shared source data;

[0041] Obtain the consultation statement issued by the first user and perform keyword extraction. Keyword extraction is an existing conventional keyword recognition solution. The specific steps are not repeated here. The consultation time point corresponding to the consultation statement and several consultation keywords are combined to obtain a consultation keyword array, and all the consultation keyword arrays are arranged and combined in the order of consultation time to obtain a consultation keyword array set;

[0042] The first user's registered account number and the data number corresponding to the downloaded data, the downloaded data mining data and the consulting keyword array set constitute the first record data and upload it to the cloud platform in real time;

[0043] When tracing back the answer of the second user to the first user's inquiry, the feedback statement issued by the second user and the corresponding feedback time point are obtained, and all the feedback statements and the corresponding feedback time points are sorted and combined in the order of reply time to obtain a feedback statement combination set;

[0044] The second user account and the feedback statement combination set of the second user constitute the second record data and are uploaded to the cloud platform in real time;

[0045] In the embodiment of the present invention, by monitoring and recording the consultation data of the first user and the feedback data of the second user, it can provide data support in different aspects for the subsequent autonomous dynamic update of the shared source data content uploaded by the second user, and can also provide reliable data support for the subsequent targeted management of source data uploads in different data fields, thereby improving the diversity of the use of shared open data consultation feedback monitoring data.

[0046] Screening the first record data and the second record data for valid data, and using the screened valid data to dynamically update the source data uploaded by the second user with valid consulting content; including:

[0047] like Figure 2 As shown, all consulting keyword arrays in the first record data are obtained in the sorted order of the consulting keyword array set, and all consulting keywords in all consulting keyword arrays are traversed and matched with the source data content downloaded by the first user in turn. If there is a keyword identical to the consulting keyword in the source data, the consulting keyword identical to the keyword in the source data is marked as a selected keyword, and the consulting keyword array corresponding to the selected keyword is marked as a selected array, and at the same time, several consulting keywords in the selected array that are adjacent to the selected keyword are marked as verification keywords;

[0048] When implementing consultation validity verification for the selected keywords, a number of verification keywords are traversed and matched with a valid keyword library pre-stored in the database;

[0049] The effective keyword library is obtained based on a combination of several historical consulting keywords, or based on existing consulting sentence keywords; for example, consulting keywords may be "don't understand", "what do you mean", "answer", "under guidance", etc.;

[0050] If the verification keyword does not exist in the valid keyword library, an invalid label of the consulting statement is generated;

[0051] If the verification keyword exists in the valid keyword library, a valid consulting statement label is generated and the consulting statement corresponding to the selected keyword is marked as a valid consulting statement;

[0052] It should be noted that by traversing and searching the keywords and source data of the consultation raised by the first user, it is possible to make a preliminary judgment on whether the corresponding consultation statement is related to the source data, and to implement consultation validity verification based on the selected keywords obtained from the traversal search. It is possible to further verify whether the consultation statement related to the source data can be supplemented and updated with the source data content, thereby achieving effective analysis of the correlation between the consultation statement and the source data content update.

[0053] like Figure 3 As shown, when verifying the validity of feedback data based on the effective consultation sentence, the effective consultation time point corresponding to the effective consultation sentence is obtained, and all feedback sentences fed back by the second user between the effective consultation time point and the consultation time point corresponding to the next consultation sentence are obtained and combined to obtain the target feedback sentence set;

[0054] Perform text preprocessing and combination on all feedback sentences in the target feedback sentence set by using text preprocessing technology to obtain a target feedback processing sentence, associate the target feedback processing sentence with the selected keyword by means of a hyperlink and use a striking color to mark the update prompt;

[0055] Among them, text preprocessing includes stop word filtering and stem extraction or regular expressions; the text preprocessing technology can remove irrelevant words in the conversation, and then the multiple feedback sentences of the second user's reply explanation can be effectively processed and combined to achieve more efficient and professional update of the explanation content;

[0056] When the communication between the first user and the second user is finished, a verification instruction is generated, and according to the verification instruction, the source data after the autonomous content update is pushed to the second user for confirmation of the autonomous content update;

[0057] There are two purposes for pushing the updated source data to the second user for confirmation. The first is to improve the accuracy and rationality of the system's update of the source data through manual review by the second user. The second is to notify the second user of the modified source data, so that the second user can better use the right to know and the right to choose the source data.

[0058] In the embodiment of the present invention, by screening and analyzing the consultation statements and feedback statements between the first user and the second user and effectively utilizing the analysis, and actively supplementing and updating the content of the corresponding position in the source data according to the analysis results, the communication data utilization capability and the autonomous updating and improvement capability of the shared open data are improved, so that subsequent users can more efficiently and conveniently understand the difficult or unfamiliar interpretation content in the source data, and at the same time, the data barrier for the interactive utilization between the consultation data and the feedback data in the existing technical solutions is broken;

[0059] Statistics are collected for all data fields corresponding to the autonomous dynamic updates of effective consulting content, and the historical autonomous dynamic update monitoring data of effective consulting content in different data fields are calculated to obtain the degree of autonomous necessity. Based on the degree of autonomous necessity, dynamic control is performed on the sharing and opening of subsequent source data uploads in different data fields; including:

[0060] Count the total number of source data uploaded for open sharing in different data fields, and count the total number of source data updates for autonomous content updates in different data fields, calculate the ratio between the total number of source data updates and the total number of source data, and set it as the degree of autonomous necessity;

[0061] Arrange all data fields in descending order according to the numerical value of the degree of autonomy necessity, mark the first N data fields as necessary update data fields, and mark the remaining data fields as non-necessary update data fields; N is a positive integer, and the specific value can be the median or mean corresponding to all the degrees of autonomy necessity, or can be customized based on actual data openness requirements;

[0062] When dynamically managing the sharing and opening of subsequent source data uploads, a second user uploading source data belonging to the necessary update data field will be prompted to provide additional explanations of proper nouns, which refer to words or sentences that are uncommon in the corresponding technical field; and the existing upload requirements will be maintained when a second user uploading source data belonging to the non-necessary update data field.

[0063] In the embodiment of the present invention, by performing extended statistics and analysis on the source data of autonomous content updates in different data fields, it is possible to obtain the autonomous content update status of different data fields, and to dynamically manage the requirements for subsequent uploading of source data in different data fields. The readability of the source data for downloading and utilization can be improved from the source, and the subsequent communication costs and impacts between the first user and the second user can be reduced.

[0064] In the several embodiments provided by the present invention, it should be understood that the disclosed system can be implemented in other ways. For example, the above described embodiments of the invention are only illustrative, for example, the division of modules is only a logical function division, and there may be other division methods in actual implementation.

[0065] The modules described as separate components may or may not be physically separated, and the components shown as modules may or may not be physical modules, and may be located in one place or distributed on multiple network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0066] In addition, each functional module in each embodiment of the present invention may be integrated into one processing module, or each module may exist physically separately, or two or more modules may be integrated into one module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of hardware plus software functional modules.

[0067] It is obvious to those skilled in the art that the present invention is not limited to the details of the above exemplary embodiments, and that the present invention can be implemented in other specific forms without departing from the basic features of the present invention.

[0068] Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, ordinary operation and maintenance personnel in the field should understand that the technical solution of the present invention can be modified or replaced by equivalents without departing from the spirit and scope of the technical solution of the present invention.

Claims

1. A data service open capability intelligent management method, characterized in that: include: The first recorded data is obtained by tracking and recording the consultation situation of the first user after downloading the data on the data service development platform, and the second recorded data is obtained by tracking and recording the feedback situation of the second user in answering the consultation question of the first user; Screening the first record data and the second record data for valid data, and using the screened valid data to dynamically update the source data uploaded by the second user with valid consulting content; including: Obtain all consulting keyword arrays in the first record data in the sorted order of the consulting keyword array set, and traverse and match all consulting keywords in all consulting keyword arrays with the source data content downloaded by the first user in turn, and if there is a keyword identical to the consulting keyword in the source data, determine the selected keyword and the verification keyword according to the consulting keyword identical to the keyword in the source data; When implementing consultation validity verification for the selected keywords, a number of verification keywords are traversed and matched with a valid keyword library pre-stored in the database; If there is a verification keyword in the valid keyword library, a valid label for the consulting statement is generated and the consulting statement corresponding to the selected keyword is marked as a valid consulting statement. The feedback validity verification is performed on the feedback data of the valid consulting statement to filter and process the feedback statement of the second user and the data at the corresponding position in the source data is updated autonomously. Statistics are collected on the data fields corresponding to the autonomous dynamic updates of all valid consulting contents, and data calculations are performed on the historical autonomous dynamic update monitoring data of valid consulting contents in different data fields to obtain the degree of autonomous necessity. Based on the degree of autonomous necessity, dynamic management and control are performed on the sharing and opening of subsequent source data uploads in different data fields.

2. A data service open capability intelligent management method according to claim 1, characterized in that: After the first registered user downloads the data on the data service development platform, the second user who uploaded the data is consulted through the contact information associated with the downloaded data and the consultation tracing record is initiated; Obtain the first user's registered account and the data number corresponding to the downloaded data, obtain the data field, data label, the second user account that uploaded the data, and the upload time point corresponding to the data according to the data number, and combine them to obtain the downloaded data mining data; Obtaining the consultation statement issued by the first user and performing keyword extraction, combining the consultation time point corresponding to the consultation statement and a number of consultation keywords to obtain a consultation keyword array, and arranging and combining all the consultation keyword arrays in the order of consultation time to obtain a consultation keyword array set; The first user's registered account number, the data number corresponding to the downloaded data, the downloaded data mining data and the consulting keyword array set constitute the first record data and are uploaded to the cloud platform in real time.

3. A data service open capability intelligent management method according to claim 2, characterized in that: When tracing back the answer of the second user to the first user's inquiry, the feedback statement issued by the second user and the corresponding feedback time point are obtained, and all the feedback statements and the corresponding feedback time points are sorted and combined in the order of reply time to obtain a feedback statement combination set; The second user account of the second user and the feedback sentence combination set constitute the second record data and are uploaded to the cloud platform in real time.

4. The method for intelligent management of data service openness capability according to claim 1, characterized in that: The consulting keywords identical to the keywords in the source data are marked as selected keywords, and the consulting keyword array corresponding to the selected keywords is marked as the selected array, and at the same time, several consulting keywords located before and after the selected keywords in the selected array are marked as verification keywords.

5. The method for intelligent management of data service openness capability according to claim 1, characterized in that: When verifying the validity of feedback based on the effective consultation sentence, the effective consultation time point corresponding to the effective consultation sentence is obtained, and all feedback sentences fed back by the second user between the effective consultation time point and the consultation time point corresponding to the next consultation sentence are obtained and combined to obtain the target feedback sentence set.

6. A data service open capability intelligent management method according to claim 5, characterized in that: Perform text preprocessing and combination on all feedback sentences in the target feedback sentence set by using text preprocessing technology to obtain a target feedback processing sentence, associate the target feedback processing sentence with the selected keyword by means of a hyperlink and use a striking color to mark the update prompt; When the communication between the first user and the second user is completed, a verification instruction is generated, and according to the verification instruction, the source data after the autonomous content update is pushed to the second user for confirmation of the autonomous content update.

7. A data service open capability intelligent management method according to claim 6, characterized in that: Text preprocessing includes stop word filtering and stemming or regular expressions.

8. The method for intelligent management of data service openness capability according to claim 1, characterized in that: Count the total number of source data uploaded for open sharing in different data fields, and count the total number of source data updates for autonomous content updates in different data fields, calculate the ratio between the total number of source data updates and the total number of source data, and set it as the degree of autonomous necessity; All data fields are sorted in descending order according to the numerical values ​​of the autonomous necessity, and the first N data fields are marked as necessary update data fields, and the remaining data fields are marked as non-necessary update data fields; N is a positive integer.

9. A data service open capability intelligent management method according to claim 8, characterized in that: When dynamically managing the sharing and opening of subsequent source data uploads, a prompt will be provided for additional explanations of the proper terms when the second user uploads source data that belongs to the necessary update data field, and the existing upload requirements will be maintained when the second user uploads source data that belongs to the non-necessary update data field.

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