Method for intelligent management of data service exposure capabilities

Abstract

The application discloses a kind of data service open ability intelligent management methods, belong to data management technical field;Through the monitoring record and screening analysis and effective utilization analysis of the consultation data of first user and the feedback data of second user, and according to the analysis result, the content of the corresponding position in source data is actively supplemented and updated, the exchange data utilization ability and the independent updating perfecting ability of shared open data are improved, so that subsequent users can more efficiently and conveniently understand the difficult or obscure explanation content in source data;Through the expansion statistics and analysis of the source data of the independent content update of different data fields, the requirements of subsequent different data field source data uploading can be dynamically managed;The application is used to solve the technical problems that the exchange data between users cannot be analyzed and utilized in the existing scheme, and the content of open shared source data cannot be dynamically updated and controlled.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of data management, and particularly relates to an intelligent management method for data service opening capability. BACKGROUND

[0002] The data service opening capability refers to the capability of an institution or enterprise to provide open data services for external users, including the following aspects: data opening capability, data quality guarantee capability, data security guarantee capability, data use supervision capability and data service support capability.

[0003] The existing data service opening capability management scheme has certain defects in technical support and document maintenance and updating when implemented, and the existing technical scheme cannot analyze and utilize the exchange data between users and autonomously dynamically update and control the content of the open shared source data, so that the autonomous content update capability of the open shared data is poor. SUMMARY

[0004] The present application relates to the technical field of data management, and particularly relates to an intelligent management method for data service opening capability.

[0005] The technical problems of the present application can be solved by the following technical scheme:

[0006] An intelligent management method for data service opening capability, comprising:

[0007] Tracking and recording the consultation situation of the first user after downloading data on the data service development platform to obtain first record data, and tracing and recording the feedback situation of the second user answering the consultation question of the first user to obtain second record data;

[0008] Effectively filtering the first record data and the second record data, and autonomously dynamically updating the effective consultation content of the source data uploaded by the second user with the filtered effective data; comprising:

[0009] Obtaining all consultation keyword arrays sorted by the consultation keyword array set in the first record data, and sequentially traversing and matching all consultation keywords in all consultation keyword arrays with the source data content downloaded by the first user, if there is a same keyword as the consultation keyword in the source data, then determining the selected keyword and the verification keyword according to the consultation keyword of the same keyword in the source data;

[0010] When the selected keyword is subjected to consultation effectiveness verification, a plurality of verification keywords are traversed and matched with the pre-stored effective keyword library in the database;

[0011] If the verification keyword exists in the effective keyword library, an effective label of the consultation sentence is generated, the selected keyword corresponding consultation sentence is marked as an effective consultation sentence, the feedback data of the effective consultation sentence is verified for feedback effectiveness, the feedback sentence of the second user is screened and processed, and the data in the corresponding position of the source data is autonomously updated;

[0012] The effective consultation content is counted and autonomously dynamically updated in the corresponding data field, the historical effective consultation content in the different data fields is autonomously dynamically updated and monitored, data is calculated to obtain the autonomous necessity degree, and the subsequent source data uploading of the different data fields is dynamically controlled according to the autonomous necessity degree.

[0013] In an optional implementation, when the registered first user downloads data on the data service development platform, the second user uploading the data is consulted through the contact information associated with the downloaded data, and consultation trace recording is started;

[0014] The registered account of the first user and the data number corresponding to the downloaded data are obtained, the data field, the data label, the second user account uploading the data and the uploading time point corresponding to the data are obtained according to the data number, and the downloaded data mining data is obtained by combination;

[0015] The consultation sentence sent by the first user is obtained and the keywords are extracted, the consultation time point and the several consultation keywords corresponding to the consultation sentence are combined to obtain the consultation keyword array, and all the consultation keyword arrays are arranged and combined in the order of the consultation time to obtain the consultation keyword array set;

[0016] The registered account of the first user and the data number corresponding to the downloaded data, the downloaded data mining data and the consultation 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 consultation of the first user, the feedback sentence sent by the second user and the corresponding feedback time point are obtained, all the feedback sentences and the corresponding feedback time points are sorted and combined in the reply time order to obtain the feedback sentence 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 consultation keywords corresponding to the selected keywords are marked as selected arrays, and the selected keywords in the selected arrays are marked as verification keywords.

[0020] In an alternative embodiment, when the feedback effectiveness of the data fed back according to the effective consultation statement is verified, the effective consultation time point corresponding to the effective consultation statement is obtained, and all feedback statements fed back by the second user between the effective 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 alternative embodiment, all feedback statements in the target feedback statement set are text preprocessed and combined by a text preprocessing technique to obtain a target feedback processing statement, the target feedback processing statement is associated with the selected keyword by a hyperlink and is marked and prompted by a conspicuous color.

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

[0023] In an alternative embodiment, the text preprocessing includes stop word filtering and stem extraction or a regular expression.

[0024] In an alternative embodiment, the total number of source data uploaded and shared in different data fields is sequentially counted, the total number of source data updated in different data fields is counted, the ratio between the total number of source data updated and the total number of source data is calculated, and the ratio is set as the autonomous necessity degree.

[0025] All data fields are arranged in descending order according to the numerical value of the autonomous necessity degree, the top N data fields are marked as necessary update data fields, and the remaining data fields are marked as unnecessary update data fields; N is a positive integer.

[0026] In an alternative embodiment, when the sharing and opening of subsequent source data are dynamically controlled, the second user is prompted to supplement the explanation of the proper noun when uploading the source data belonging to the necessary update data field, and the existing uploading requirement is maintained when the second user uploads the source data belonging to the unnecessary update data field.

[0027] Compared with the prior art, the present application has the following advantages:

[0028] The application improves the exchange data utilization ability and the self-updating and perfecting ability of the shared open data by monitoring and recording the consultation data of the first user and the feedback data of the second user, screening and analyzing the consultation statements and the feedback statements between the first user and the second user, and actively supplementing and updating the content of the corresponding position in the source data according to the analysis result, so that subsequent users can more efficiently and conveniently understand the difficult or rare explanation content in the source data, and the data barrier between the consultation data and the feedback data in the prior art is broken.

[0029] The application can obtain the self-content updating state of different data fields, dynamically manage the requirements of subsequent source data uploading of different data fields, improve the readability of source data download and utilization from the source, and reduce the exchange and communication cost and influence between the first user and the second user. BRIEF DESCRIPTION OF DRAWINGS

[0030] The application will be further described below with reference to the drawings.

[0031] Figure 1 The application is a flowchart of the data service open ability intelligent management method.

[0032] Figure 2 The application is a flowchart of the effective consultation statement acquisition.

[0033] Figure 3 The application is a flowchart of the feedback effectiveness verification implementation. DETAILED DESCRIPTION

[0034] The technical solutions in the embodiments of the application will be clearly and completely described below with reference to the drawings in the embodiments of the application. Obviously, the described embodiments are only part of the embodiments of the application, not all the embodiments. Based on the embodiments in the application, all other embodiments obtained by the ordinary operation and maintenance personnel in the art without creative labor belong to the protection scope of the application.

[0035] As shown in the drawings, Figure 1 The application is a data service open ability intelligent management method, which comprises:

[0036] The first record data is obtained by tracking and recording the consultation of the first user after downloading the data on the data service development platform, and the second record data is obtained by tracing and recording the feedback of the second user in answering the consultation questions of the first user; comprising:

[0037] When the registered first user downloads data on the data service development platform, the second user uploading the data is consulted through the contact information associated with the downloaded data and the consultation trace record is started;

[0038] The first user is a user downloading the development shared source data, and the second user is a user uploading the development shared source data.

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

[0040] The registered account of the first user and the data number corresponding to the downloaded data are obtained, the data field, the data label corresponding to the data, the second user account uploading the data and the uploading time point are obtained according to the data number, and the downloaded data mining data is obtained by combination; the data field and the data label are selected and determined according to the second user uploading the shared source data;

[0041] The consultation statement sent by the first user is obtained and keyword extraction is performed, the keyword extraction is an existing conventional keyword recognition scheme, and specific steps will not be repeated here, the consultation time point corresponding to the consultation statement and a plurality of consultation keywords are combined to obtain a consultation keyword array, and all consultation keyword arrays are arranged and combined in the order of consultation time to obtain a consultation keyword array set;

[0042] The registered account of the first user and the data number corresponding to the downloaded data, the downloaded data mining data and the consultation keyword array set constitute the first record data and are uploaded to the cloud platform in real time;

[0043] When the second user answers the first user's consultation, the feedback statement sent by the second user and the corresponding feedback time point are obtained, all feedback statements and corresponding feedback time points are sorted and combined in the reply time order to obtain a feedback statement combination set;

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

[0045] In the embodiment of the application, by monitoring and recording the consultation data of the first user and the feedback data of the second user, different aspects of data support can be provided for subsequent self-dynamic updating of the source data content uploaded by the second user, and reliable data support can be provided for subsequent targeted management of source data in different data fields, thereby improving the diversity of shared open data consultation feedback monitoring data utilization.

[0046] The first record data and the second record data are subjected to effective data screening, and the screened effective data are subjected to effective consultation content autonomous dynamic updating on source data uploaded by the second user; the method comprises the following steps:

[0047] As shown in Figure 2 , all consultation keyword arrays sorted in the first record data are obtained, and all consultation keywords in all consultation keyword arrays are sequentially matched with the source data content downloaded by the first user. If there is a same keyword as the consultation keyword in the source data, the consultation keyword corresponding to the same keyword in the source data is marked as a selected keyword, and the consultation keyword array corresponding to the selected keyword is marked as a selected array. Meanwhile, a number of verification keywords located in front and back of the selected keyword in the selected array are marked as verification keywords;

[0048] When the selected keyword is subjected to consultation validity verification, a number of verification keywords are matched with the effective keyword library pre-stored in the database;

[0049] Among them, the effective keyword library is obtained according to a number of historical consultation keyword combinations, or is obtained based on existing consultation statement keywords; for example, the consultation keywords can be "don't understand", "what does it mean", "please answer", "please guide", and the like;

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

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

[0052] It should be noted that by performing traversal retrieval on the keywords proposed by the first user for consultation and the source data, it can be determined whether the corresponding consultation statement and the source data are related. According to the selected keywords obtained by the traversal retrieval, the consultation validity verification is performed, and it can be determined whether the consultation statement related to the source data can further update the source data content. The effective analysis of the consultation statement and the source data content update is realized.

[0053] As shown in Figure 3 , when the feedback data of the effective consultation statement is subjected to feedback validity verification, the effective consultation time point corresponding to the effective consultation statement is obtained, and all feedback statements fed back by the second user between the effective consultation time point and the corresponding consultation time point of the next consultation statement are obtained and combined to obtain a target feedback statement set;

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

[0055] Among them, text preprocessing includes stop word filtering and stemming or regular expressions. This text preprocessing technology can eliminate irrelevant words in the conversation, and then effectively process and combine the multiple feedback sentences of the second user's reply explanation to achieve more efficient and professional updates of the explanation content.

[0056] When the communication between the first user and the second user ends, 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 independent update of the source data through manual review by the second user. The second is to notify the second user of the independently modified source data, allowing the second user to better exercise their right to know and make their own choices about 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 analyzing their effective utilization, and proactively supplementing and updating the content at the corresponding location in the source data based on the analysis results, the communication data utilization capability and autonomous updating and improvement capability of shared open data are improved, so that subsequent users can more efficiently and conveniently understand the difficult or obscure interpretation content in the source data. At the same time, the data barrier to the interactive utilization of consultation data and feedback data in the existing technical solutions is broken down.

[0059] Statistics are collected for all data fields corresponding to the autonomous dynamic updates of valid consulting content, and data is calculated for the historical monitoring data of autonomous dynamic updates of valid consulting content 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; including:

[0060] Count the total number of source data that have been uploaded and shared for open use in different data fields, and count the total number of source data updates for independent 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] According to the numerical size of the autonomous necessity, all data fields are arranged in descending order, and the top N data fields are marked as necessary update data fields, and the remaining data fields are marked as non-essential update data fields; N is a positive integer, and the specific value can be the median or mean value corresponding to all autonomous necessities, or can be customized based on actual data opening requirements;

[0062] When dynamically managing and controlling the sharing opening of subsequent source data uploading, the second user uploading of the source data belonging to the necessary update data field is prompted to supplement the explanation of the special term, and the special term refers to the words or sentences that are not common in the corresponding technical field, and the second user uploading of the source data belonging to the non-essential update data field maintains the existing uploading requirements.

[0063] In the embodiment of the application, by expanding the statistics and analysis of the source data of the autonomous content update in different data fields, the autonomous content update state in different data fields can be obtained, and the requirements for subsequent source data uploading in different data fields can be dynamically managed, the readability of source data downloading and utilization can be improved from the source, and the communication cost and influence between the first user and the second user are reduced.

[0064] In the several embodiments of the present application, it should be understood that the disclosed system can be implemented in other ways. For example, the above-described embodiments of the application are merely illustrative, for example, the division of the modules is only a logical function division, and actual implementation can have another division manner.

[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, which can be located in one place or distributed to multiple network modules. Part or all of the modules can be selected according to actual needs to achieve the purpose of the embodiment of the present application.

[0066] In addition, the functional modules in each embodiment of the present application can be integrated in one processing module, or each module can exist physically, or two or more modules can be integrated in one module. The above integrated module can be realized in the form of hardware or in the form of hardware plus software function module.

[0067] For those skilled in the art, it is obvious that the present application is not limited to the details of the above exemplary embodiments, and the present application can be realized in other specific forms without departing from the essential characteristics of the present application.

[0068] Finally, it should be noted that the above examples are only used to illustrate the technical solutions of the present application and are not limiting. Although the present application has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present application can be modified or equivalently replaced without departing from the spirit and scope of the present application.

Claims

1. A method for intelligent management of data service open capabilities, characterized in that: include: Tracking and recording the consultation situation of the first user after downloading data on the data service development platform to obtain first record data, and tracking and recording the feedback situation of the second user in answering the consultation question of the first user to obtain second record data; Filtering the first and second record data for valid data, and dynamically updating the source data uploaded by the second user with the filtered valid data for valid consultation content; including: Obtaining all query keyword arrays in the sorted query keyword array set in the first record data, and sequentially traversing and matching all query keywords in all query keyword arrays with the source data content downloaded by the first user; if there is a keyword in the source data that is identical to the query keyword, determining a selected keyword and a verification keyword based on the query keyword that is identical to the keyword in the source data; When implementing consultation validity verification for selected keywords, a number of verification keywords are traversed and matched with a valid keyword library pre-stored in the database; If the verification keyword exists in the valid keyword library, a valid inquiry statement tag is generated and the inquiry statement corresponding to the selected keyword is marked as a valid inquiry statement. The feedback validity verification is performed on the feedback data of the valid inquiry 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 for all data fields corresponding to autonomous dynamic updates of valid consulting content, and data is calculated for historical monitoring data of autonomous dynamic updates of valid consulting content in different data fields to obtain the degree of autonomous necessity. Based on the degree of autonomous necessity, dynamic management and control are then performed on the sharing and opening of subsequent source data uploads in different data fields; The total number of source data uploaded for open sharing in different data fields is counted in turn, as is the total number of source data updates for autonomous content updates in different data fields. 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. All data fields are sorted in descending order according to the numerical value 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.

2. A data service open capability intelligent management method according to claim 1, characterized in that: After the first registered user downloads data on the data service development platform, he / she consults the second user who uploaded the data through the contact information associated with the downloaded data and starts the consultation traceability record; 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 a consultation statement issued by the first user and performing keyword extraction, combining the consultation time point corresponding to the consultation statement with a number of consultation keywords to obtain a consultation keyword array, and arranging and combining all consultation keyword arrays in 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. The method for intelligent management of data service openness capability according to claim 2, characterized in that: When tracing back the second user's response to the first user's inquiry, obtain the feedback statements sent by the second user and the corresponding feedback time points, sort and combine all the feedback statements and the corresponding feedback time points in the order of reply time, and obtain a feedback statement combination set; The second user account of the second user and the feedback statement 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 that are 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. 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 data based on valid consultation sentences, the valid consultation time point corresponding to the valid consultation sentence is obtained, and all feedback sentences fed back by the second user between the valid 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 using text preprocessing technology to obtain a target feedback processing sentence, associate the target feedback processing sentence with the selected keyword through 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. The method for intelligent management of data service openness capability 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: When dynamically managing and controlling the sharing and opening of subsequent source data uploads, a prompt will be provided for additional explanations of technical terms when the second user uploads source data belonging to the necessary update data field, and the existing upload requirements will be maintained when the second user uploads source data belonging to the non-essential update data field.

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