CN113901125A - Data display method and device, storage medium and electronic equipment - Google Patents
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Abstract
The embodiment of the invention discloses a data display method and device, a storage medium and electronic equipment, wherein the method comprises the following steps: acquiring the update data of the target data source; extracting a file identifier and an execution object from the updating data, and determining the identifier of the execution object and the identifier of the target data source; judging whether similar data are stored or not according to the file identification, the identification of the execution object and the identification of the target data source; and when the similar data are judged to be stored, generating aggregated data according to the similar data and the updated data, and displaying the aggregated data. Therefore, redundant display of data is effectively avoided, a user can clearly and quickly acquire useful information, and the use experience of the user is effectively improved.
Description
Technical Field
The present invention relates to the field of data processing technologies, and in particular, to a data presentation method and apparatus, a storage medium, and an electronic device.
Background
In the big data era, the public information is basically transparent, and a plurality of different data sources (such as the national market supervision and management bureau, the China Bank insurance supervision and management Committee, the China on credit, and the like) are generally issued to the outside for the same data (such as administrative penalty data) of the same enterprise. Because the data sources are different, there will be some slight differences between the data externally published by each data source.
For an information query system, data published by a plurality of data sources is often required to be pre-recorded, and then, for a query condition of a user, the system may obtain a plurality of query results, in which a plurality of similar data with only a few subtle differences may exist. If the query result is directly displayed, redundant display of data can be caused, a user cannot clearly and quickly acquire useful information, and the user experience is poor. Therefore, how to combine and display similar data to avoid redundant display of data is a technical problem to be solved in the prior art.
Disclosure of Invention
The problems to be solved by the invention include redundant display of data, incapability of clearly and quickly acquiring useful information by a user and poor use experience of the user.
The invention is provided for solving the technical problems such as redundant display of data, poor use experience of users and the like. The embodiment of the invention provides a data display method and device, a storage medium and electronic equipment.
According to an aspect of an embodiment of the present invention, there is provided a data presentation method, including: acquiring update data of a target data source; extracting a file identifier and an execution object from the updated data, and determining an identifier of the execution object and an identifier of a target data source; judging whether similar data are stored or not according to the file identification, the identification of the execution object and the identification of the target data source; and when judging that the similar data are stored, generating aggregated data according to the similar data and the updated data, and displaying the aggregated data.
Optionally, determining whether similar data is stored according to the file identifier, the identifier of the execution object, and the identifier of the target data source, including: inquiring a preset data table according to the file identification and the identification of the execution object to obtain a similar data set which is similar to the updated data and is formed by the same data of the execution object; when the similar data set is a non-empty set, judging whether the data of the target data source exists in the similar data set or not based on the identification of the target data source; when the data of the target data source does not exist in the similar data set, determining that the similar data are stored; the similar data come from other data sources and are similar to the updating data, and the execution object of the similar data is the same as that of the updating data.
Optionally, the file identification is a decision book number; inquiring a preset data table according to the file identifier and the identifier of the execution object to obtain a similar data set which is similar to the update data and is formed by the same data of the execution object, wherein the similar data set comprises the following steps: extracting the numbers in the determined text numbers; based on the number and the identification of the execution object, data similar to the update data and identical to the execution object is obtained from the data table to obtain a similar data set.
Optionally, the determining whether the data of the target data source exists in the similar data set based on the identifier of the target data source includes: determining a data source of each piece of data in the similar data set; comparing the identifier of the target data source with the identifier of the data source of each piece of data; and judging whether the data from the target data source exists in the similar data set or not according to the comparison result.
Optionally, when it is determined that similar data is stored, generating aggregated data according to the similar data and the update data includes: determining a parent self-increment identification of the updated data; the father self-adding identification is the identification of father data in similar data; determining a similarity amount of the parent data; wherein the similarity measure is used to characterize the amount of data similar to the parent data; merging the similar data and the updated data into aggregated data based on the parent self-increment identification and the similar quantity; wherein the aggregated data comprises parent data and corresponding quantity description information of similar data.
Optionally, in each of the above method embodiments of the present invention, the method further includes: when the number description information is clicked, displaying a corresponding similar data page; when the detail button of the parent data is clicked, a detail information page of the parent data is displayed.
Optionally, in each of the above method embodiments of the present invention, the method further includes: and when the similar data page is clicked, displaying the corresponding similar data detail information page.
Optionally, in each of the above method embodiments of the present invention, the method further includes: when data from the target data source exists in the similar data set, the presentation state of the existing data is updated.
Optionally, before determining the parent self-increment identification of the updated data, the method further includes: when only one piece of similar data exists, determining the similar data as parent data; when there are two or more pieces of similar data, one piece of target data is determined as parent data from the plurality of pieces of similar data based on the identification of the data source of each piece of similar data.
Optionally, in each of the above method embodiments of the present invention, the method further includes: updating the parent data based on the updated data and the similar data; based on the updated identification of the parent data, adjusting the parent self-adding identification of other data similar to the parent data; and updating the displayed aggregated data based on the updated parent data and the adjusted parent self-increment identification.
Optionally, in each of the above method embodiments of the present invention, the method further includes: creating a data table; the data table is used for storing data from different data sources; determining the identification of each data source accessed to the data table and storing the identification into the data table; storing the published data of each data source into a data table, and setting a monitoring task for each data source.
According to another aspect of the embodiments of the present invention, there is provided a data presentation apparatus including: the updating data acquisition unit is used for acquiring the updating data of the target data source; the information acquisition unit is used for extracting the file identification and the execution object from the updating data and determining the identification of the execution object and the identification of the target data source; the similar data determining unit is used for judging whether similar data are stored or not according to the file identifier, the identifier of the execution object and the identifier of the target data source; and the display unit generates the aggregation data according to the similar data and the updated data and displays the aggregation data when judging that the similar data are stored.
According to still another aspect of an embodiment of the present invention, there is provided an electronic apparatus including: a processor; a memory for storing processor-executable instructions; and the processor is used for reading the executable instructions from the memory and executing the instructions to realize the method of any one of the above embodiments of the invention.
According to yet another aspect of embodiments of the present invention, there is provided a computer-readable storage medium storing a computer program for executing the method according to any one of the above-mentioned embodiments of the present invention.
Based on the data display method and device, the storage medium and the electronic device provided by the embodiments of the invention, the target data source is monitored to obtain the updated data of the target data source, then the similar data similar to the updated data is determined from the data table, the similar data and the updated data are merged to be processed into aggregated data, and finally the aggregated data is displayed to the user, so that the redundant display of the data is effectively avoided, the user can clearly and quickly obtain useful information, and the use experience of the user is effectively improved.
The technical solution of the present invention is further described in detail by the accompanying drawings and embodiments.
Drawings
The above and other objects, features and advantages of the present invention will become more apparent by describing in more detail embodiments of the present invention with reference to the attached drawings. The accompanying drawings are included to provide a further understanding of the embodiments of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings, like reference numbers generally represent like parts or steps.
FIG. 1 is a schematic flow chart diagram of a data presentation method provided by an exemplary embodiment of the present invention;
FIG. 2 is a diagram of a page presented with aggregated data to a user in accordance with an exemplary embodiment of the present invention;
FIG. 3 is a diagram of a page presented to a user with similar data corresponding to information descriptive of the number of clicks made by the user in accordance with an exemplary embodiment of the present invention;
FIG. 4 is a diagram of a page provided by an exemplary embodiment of the present invention to show a user details corresponding to the target data that the user clicked on;
FIG. 5 is a page diagram provided by an exemplary embodiment of the present invention to show similar data detail information corresponding to similar data clicked by a user;
FIG. 6 is a page diagram provided by an exemplary embodiment of the present invention to expose the current administrative penalty data for executing an object to a user;
FIG. 7 is a page diagram provided by an exemplary embodiment of the present invention to expose historical administrative penalty data for executing an object to a user;
FIG. 8 is a schematic structural diagram of a data presentation device according to an exemplary embodiment of the present invention;
fig. 9 is a structure of an electronic device according to an exemplary embodiment of the present invention.
Detailed Description
Hereinafter, example embodiments according to the present invention will be described in detail with reference to the accompanying drawings. It is to be understood that the described embodiments are merely a subset of embodiments of the invention and not all embodiments of the invention, with the understanding that the invention is not limited to the example embodiments described herein.
It should be noted that: the relative arrangement of the components and steps, the numerical expressions and numerical values set forth in these embodiments do not limit the scope of the present invention unless specifically stated otherwise.
It will be understood by those of skill in the art that the terms "first," "second," and the like in the embodiments of the present invention are used merely to distinguish one element, step, device, module, or the like from another element, and do not denote any particular technical or logical order therebetween.
It should also be understood that in embodiments of the present invention, "a plurality" may refer to two or more and "at least one" may refer to one, two or more.
It is also to be understood that any reference to any component, data, or structure in the embodiments of the invention may be generally understood as one or more, unless explicitly defined otherwise or stated to the contrary hereinafter.
In addition, the term "and/or" in the present invention is only one kind of association relationship describing the associated object, and means that there may be three kinds of relationships, for example, a and/or B, which may mean: a exists alone, A and B exist simultaneously, and B exists alone. In the present invention, the character "/" generally indicates that the preceding and following related objects are in an "or" relationship.
It should also be understood that the description of the embodiments of the present invention emphasizes the differences between the embodiments, and the same or similar parts may be referred to each other, so that the descriptions thereof are omitted for brevity.
Meanwhile, it should be understood that the sizes of the respective portions shown in the drawings are not drawn in an actual proportional relationship for the convenience of description.
The following description of at least one exemplary embodiment is merely illustrative in nature and is in no way intended to limit the invention, its application, or uses.
Techniques, methods, and apparatus known to those of ordinary skill in the relevant art may not be discussed in detail, but are intended to be part of the specification where appropriate.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, further discussion thereof is not required in subsequent figures.
Embodiments of the invention are operational with numerous other general purpose or special purpose computing system environments or configurations, and with numerous other electronic devices, such as terminal devices, computer systems, servers, etc. Examples of well known terminal devices, computing systems, environments, and/or configurations that may be suitable for use with electronic devices, such as terminal devices, computer systems, servers, and the like, include, but are not limited to: personal computer systems, server computer systems, thin clients, thick clients, hand-held or laptop devices, microprocessor-based systems, set-top boxes, programmable consumer electronics, networked personal computers, minicomputer systems, mainframe computer systems, distributed cloud computing environments that include any of the above, and the like.
Electronic devices such as terminal devices, computer systems, servers, etc. may be described in the general context of computer system-executable instructions, such as program modules, being executed by a computer system. Generally, program modules may include routines, programs, objects, components, logic, data structures, etc. that perform particular tasks or implement particular abstract data types. The computer system/server may be practiced in distributed cloud computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed cloud computing environment, program modules may be located in both local and remote computer system storage media including memory storage devices.
Exemplary method
Fig. 1 is a schematic flow chart of a data presentation method according to an exemplary embodiment of the present invention. The embodiment can be applied to an electronic device, and as shown in fig. 1, the merging processing method 100 includes the following steps:
Optionally, the data display method provided in this embodiment further includes: creating a data table, wherein the data table is used for storing data from different data sources; determining the identification of each data source accessed to the data table and storing the identification into the data table; storing the published data of each data source into a data table, and setting a monitoring task for each data source.
Generally, there are various types of data sources that may issue administrative penalty data associated with individual companies or enterprises. Among the existing data sources are, for example, but not limited to: china Industrial and commercial Bank, China Credit, China people Bank, China Bank of China, China certificate Authority, safety production supervision and management bureau, and State market supervision and management bureau, etc.
The document may be a decision document, or other type of official document or document. When the file is a decision document, the corresponding file identifier is the decision document number. When the file is a decision book, the corresponding file identifier is a decision book number. Also, the execution object corresponding to the file may be various types of companies, businesses, organizations, or the like. The following examples are given in detail by taking the decision documents as examples.
As an embodiment, the target data source may be one of the above data sources, and the identification of the execution object may be an ID value customized by the system for the execution object, the ID value being capable of uniquely identifying the information of the execution object. Illustratively, the system has a custom ID value of 22822 for company XX, 2318455639 for company YY, 2353607030 for company NN, and 26307504 for company AA.
Typically, these data sources issue administrative penalty data associated with each execution object. The administrative penalty data issued by each data source includes, for example: the penalty date, decision text number, name of the executing object, penalty event are determined by type of offense, penalty result/content, and penalty unit.
Therefore, before presenting data to a user, the system first needs to create a data table for storing data from different data sources, and then determines the identification of each data source accessing the data table and stores the identification in the data table. Illustratively, referring to table 1 below, the data sources accessing the data table are, for example, the chinese industrial and commercial bank, the credit china, the chinese people bank, the chinese banking and supervision agency, the chinese certificate and supervision agency, the safety production supervision and management bureau, and the identifiers determined by the system for the data sources are 1, 2, 3, 4, 5, 6 and 7, respectively.
TABLE 1
Further, after accessing the data sources, it is also necessary to store the published data of each data source in a data table, and set a monitoring task for each data source. Wherein, kafka can be utilized to listen to data of a data source to discover data generated by the data source through update or insert operations. Alternatively, sending update or insert data to the redis database may be used to read the data that the redis needs to process to obtain the update or insert data of the data source.
The method configures corresponding monitoring tasks for each data source, and judges whether the data source has data of update or insert operation in a monitoring mode. When the target data source has data of update or insert operation, the system acquires the updated data of the target data source.
Illustratively, taking "the national market monitoring administration" as a target data source for monitoring, a decision document is added to the data source of the national market monitoring administration in the monitoring process, and the decision document is administration penalty data of a certain execution object. Here, the penalty time in the determination document is 20/04/2020, the determination document number is bank protection penalty determination document (2020) No. 4, and the execution target is "AA company". Accordingly, the system needs to extract the number of the decision document and the name of the execution object from the newly added decision document, determine the identifier of the execution object according to the name of the execution object, and determine the identifier of the target data source. The obtained decision text number is the silver insurance policy book (2020) number 4, the determined execution object identifier is 26307504 for example, and the determined target data source identifier is 7.
And 103, judging whether similar data are stored or not according to the file identification, the identification of the execution object and the identification of the target data source.
Generally, for the same administrative penalty data of the same enterprise, a plurality of different data sources (such as the national market supervision and administration bureau, the chinese bank insurance supervision and management committee, the credit china, etc.) are issued to the outside. Because the data sources are different, there will be some slight differences between the data externally published by each data source. For example, but not limited to, the decision text number generally consists of elements such as year, document number, and abbreviation of province, and for the same administrative penalty data, since there are multiple abbreviations for the same province, different data sources may use different abbreviation of province, resulting in different chinese characters used in the decision text number for the same administrative penalty data. Alternatively, for the penalty amount of the administrative execution object, some data sources may retain the number of digits after the decimal point, and some data sources take integer values directly, resulting in slightly different penalty amounts in the same administrative penalty data. Therefore, after the update data of the target data source is acquired, whether similar data is stored needs to be judged according to the determined text number, the identifier of the execution object and the identifier of the target data source.
Optionally, determining whether similar data is stored according to the file identifier, the identifier of the execution object, and the identifier of the target data source, including: inquiring a preset data table according to the file identification and the identification of the execution object to obtain a similar data set which is similar to the updated data and is formed by the same data of the execution object; when the similar data set is a non-empty set, judging whether the data of the target data source exists in the similar data set or not based on the identification of the target data source; when the data of the target data source does not exist in the similar data set, determining that the similar data are stored; the similar data come from other data sources and are similar to the updating data, and the execution object of the similar data is the same as that of the updating data.
The file identifier is, for example, a decision document number, the target data source is, for example, a national market administration, the execution object is, for example, an AA company, the decision document number is, for example, a silver insurance policy word [2020]4, the identifier of the execution object is, for example, 26307504, and the identifier of the target data source is, for example, 7.
In the process of judging whether similar data are stored or not, firstly, a preset data table is inquired by taking the determined text number and the identification of the execution object as inquiry conditions, and data which are similar to the updated data and are the same as the execution object are obtained from the data table to form a similar data set. The acquired similar data set may be an empty set or a non-empty set. When the acquired similar data set is an empty set, the data table does not store other data similar to the updated data, the data do not need to be merged, the updated data can be directly stored in the data table and directly displayed to a user, and redundant display of the data cannot be caused. When the acquired similar data set is a non-empty set, it means that other data similar to the updated data, including data 1, data 2, and data 3, for example, is stored in the data table.
Optionally, querying a preset data table according to the file identifier and the identifier of the execution object to obtain a similar data set composed of data similar to the update data and identical to the execution object, where the method includes: extracting the numbers in the determined text numbers; based on the number and the identification of the execution object, data similar to the update data and identical to the execution object is obtained from the data table to obtain a similar data set.
Taking the file identification as an example of determining the number of the text, considering that because the short names of the same province are multiple, different short names may be adopted by different data sources, so that the Chinese characters used in the same determined number of the text are different and cannot be accurately determined as similar data, the invention only extracts the numbers in the determined number of the text, such as '2020' and '4', thereby ensuring the accuracy of similar matching. And then acquiring data which is similar to the updated data and is the same as the execution object from a preset data table based on the extracted number and the identification of the execution object to obtain a similar data set. By the method, the accuracy of data similarity matching is guaranteed, meanwhile, omission of data similar to the updated data in the data table can be avoided to the greatest extent, and the obtained similar data set is more comprehensive and complete.
Further, considering that the three similar data sources may be a national market supervision and administration bureau (i.e., a target data source) and may also be other data sources (e.g., credit china, china industrial and commercial banks, etc.), it is further necessary to determine whether data from the target data source exists in the similar data set based on the identification of the target data source. When the data from the target data source does not exist in the similar data set, the updated data is new data, and the data included in the similar data set is the similar data of the updated data, and the data needs to be displayed after being merged, so that redundant display of the data is avoided.
Optionally, the determining whether the data of the target data source exists in the similar data set based on the identifier of the target data source includes: determining a data source of each piece of data in the similar data set; comparing the identifier of the target data source with the identifier of the data source of each piece of data; and judging whether the data from the target data source exists in the similar data set or not according to the comparison result.
For example, but not limited to, the data source of the data 1 is credit china, the data source of the data 2 is china industrial and commercial bank, and the data source of the data 3 is china industrial and commercial bank. Then, based on the characteristic that the identifier of the data source can uniquely identify the data source, the invention compares the identifier of the target data source (namely, the national market supervision and administration bureau) with the identifier of the data source of each piece of data, and finally judges whether the data from the target data source exists in the similar data set according to the comparison result. In this way, whether data from the target data source exists in the similar data set can be judged quickly and accurately.
And 104, when judging that the similar data are stored, generating aggregated data according to the similar data and the updated data, and displaying the aggregated data.
Generally, in order to ensure the comprehensiveness of data presented to a user, data published to the outside by a plurality of data sources needs to be collected, and many similar data are collected. And aiming at similar data, the data is combined and then displayed, so that repeated display of the data is effectively avoided, and a user can know the data more clearly and quickly.
Optionally, when it is determined that similar data is stored, generating aggregated data according to the similar data and the update data includes: determining a parent self-increment identification of the updated data; the father self-adding identification is the identification of father data in similar data; determining a similarity amount of the parent data; wherein the similarity measure is used to characterize the amount of data similar to the parent data; merging the similar data and the updated data into aggregated data based on the parent self-increment identification and the similar quantity; wherein the aggregated data comprises parent data and corresponding quantity description information of similar data.
In general, when it is judged that similar data exists, it means that data of the target data source does not exist in the similar data set looked up from the data table on the basis of the number extracted from the decision text number and the identification of the execution object as conditions, the update data is new data. Thus, after the update data is stored in the data table, the parent self-increment identification of the update data needs to be determined, and the similarity amount of the parent data needs to be determined again. Then, before data display, based on the parent self-increment identification of the updated data and the similarity of the parent data, the similar data and the updated data are combined into aggregated data, and the aggregated data is displayed to a user, so that redundant display of the data is avoided. Referring to fig. 2 and 3, the parent data is data that can be directly seen in the display interface, and the corresponding similar data is not directly displayed but displayed after being clicked and viewed by the user.
As shown in table 2 below, the data with id "100531" is the currently acquired update data, the data source of the update data is "national market supervision and administration bureau", and the corresponding data source id is "7". Then, it is determined from the step 103 that two similar data items similar to the updated data, having the same execution object and different data sources are stored in the data table, and the data ids (identifiers) of the two similar data items are "8407301" and "11697241", respectively. And, the data id of the parent data is "11697241".
TABLE 2
Thus, the present invention first determines that the parent introductions identity of the updated data is "11697241", then determines that the similarity amount of the parent data is 2, finally merges the similar data and the updated data into the aggregated data based on the parent introductions identity of the updated data and the similarity amount of the parent data, and presents the aggregated data to the user as shown in fig. 2. Wherein the data source in fig. 2 corresponds to the data source in the present invention. According to the invention, similar data are aggregated to form a group instead of displaying the similar data in multiple rows, so that different experiences are brought in visual sense, the data can not be redundantly displayed, and the use experience of a user is improved.
Optionally, before determining the parent self-increment identification of the updated data, the method further includes: when only one piece of similar data exists, determining the similar data as parent data; when there are two or more pieces of similar data, one piece of target data is determined as parent data from the plurality of pieces of similar data based on the identification of the data source of each piece of similar data.
Generally, for a new piece of data, once similar data is found in the data table and does not belong to the same data source, the data of one data source needs to be selected as parent data. The invention judges the election rule aiming at the father data according to the identification of the data source. Thus, when there is only one piece of similar data, the piece of similar data is determined to be parent data. When there are two or more pieces of similar data, one piece of target data is determined as parent data from the plurality of pieces of similar data based on the identification of the data source of each piece of similar data. For example, and without limitation, the identity of each data source may be determined by numbering it from small to large, as shown in Table 1 above. Then, when determining the parent data based on the identification of the data source, the data with the smallest number of the data source may be taken as the parent data. Wherein, the smaller the number of the data source means the higher the data coverage rate of the data source.
Optionally, the data presentation method 100 further includes: when the number description information is clicked, displaying a corresponding similar data page; when the detail button of the parent data is clicked, a detail information page of the parent data is displayed.
After similar data and updated data are merged into one aggregated data, the aggregated data displayed to the user is shown in fig. 2. When the user views the similar data of the item data, the user can view the similar data of the item data by clicking the quantity description information of the similar data in the aggregated data. Accordingly, when the user clicks the quantity description information, the corresponding similar data page needs to be displayed in the present invention, as shown in fig. 3.
The user can also view the detail information page of the entry mark data by clicking the detail button of the parent data. Accordingly, when the user clicks the detail button of the parent data, the present invention needs to display the detail information page of the data, as shown in fig. 4. Therefore, the invention can only display the key information in the aggregated data, and provides a further viewing function for the user aiming at the similar data and more detailed information (for example, specific penalty reasons), so that the user can not only find all similar data in one aggregated data when viewing the data, but also clearly compare the data and know the number of the similar data.
Optionally, the data presentation method further includes: and when the similar data page is clicked, displaying the corresponding similar data detail information page.
When the user views which similar data exist in the target data on the similar data page, the user can also view the detailed information of a certain piece of similar data by clicking the similar data page. Accordingly, when clicking on the similar data page, the present invention needs to display the corresponding similar data detail information page, as shown in fig. 5. In this way, the user can view the detailed information of a piece of similar data by clicking on the similar data page.
Optionally, the data presentation method further includes: when data from the target data source exists in the similar data set, the presentation state of the existing data is updated.
Specifically, if data from the target data source exists in the similar data set, the state of the piece of data is directly updated without data merging processing. For example: when the execution object delivers the fine amount of a certain administrative penalty, the target data source reissues an administrative penalty data to externally publish the penalty paid by the execution object. The reissued administrative penalty data would continue to use the original decision text number and other information and indicate that the executing object has paid the penalty. Therefore, when the reissued administrative penalty data is acquired, the state of the existing data needs to be updated. Since the penalty has been performed, the state of the data may be updated to historical data.
Thus, the present invention can sub-present the current and historical administrative penalty data to the user using two lists, respectively, as shown in fig. 6 and 7. By the method, the user can more intuitively know the current administrative penalty data and the historical administrative penalty data of the execution object.
Optionally, the data presentation method further includes: updating the parent data based on the updated data and the similar data; based on the updated identification of the parent data, adjusting the parent self-adding identification of other data similar to the parent data; and updating the displayed aggregated data based on the updated parent data and the adjusted parent self-increment identification.
In the invention, considering that the time for publishing data of each data source is different, the time for monitoring the obtained updated data is different, so that the data is written into the data table in sequence. Therefore, for a new piece of data, once similar data is found in the data table and does not belong to the same source, the data of one data source can be re-elected as parent data. Accordingly, the present invention first updates parent data (e.g., redetermines a piece of target data as parent data) based on the updated data and the similar data. Then, when the parent data is adjusted, the parent self-adding identification of other data similar to the parent data needs to be uniformly adjusted. And finally, updating the displayed aggregated data based on the updated parent data and the adjusted parent self-increment identification. For example, based on the updated parent data and the adjusted parent self-increment identification, a new aggregated data is generated according to the similar data and the updated data, and the new aggregated data is displayed by the user. Wherein the new aggregated data comprises updated parent data and corresponding quantity description information of similar data. By the method, when new similar data are accessed, the data issued by the data source with the highest data coverage rate can be re-determined as the parent data based on the identification of the data source of each similar data, so that the selected parent data is more representative, and the accuracy of the data visually displayed to the user is further guaranteed.
Therefore, the data display method provided by the invention firstly monitors the target data source to obtain the updated data of the target data source, then determines the similar data similar to the updated data from the data table, then combines the similar data and the updated data to form aggregated data, and finally displays the aggregated data to a user, thereby effectively avoiding the redundant display of the data and enabling the user to clearly and quickly obtain the useful information. In addition, when the user views the data, the user can not only find all similar data in one aggregated data, but also clearly compare the data and know the number of the similar data. Therefore, different experiences are brought to the user in the visual sense, data can not be redundantly displayed, and the use experience of the user is effectively improved.
Exemplary devices
Fig. 8 is a schematic structural diagram of a data presentation apparatus according to an exemplary embodiment of the present invention. As shown in fig. 8, the data presentation device 800 includes: an update data acquisition unit 801 for acquiring update data of a target data source; an information obtaining unit 802, configured to extract a file identifier and an execution object from the update data, and determine an identifier of the execution object and an identifier of a target data source; a similar data determining unit 803, configured to determine whether similar data is stored according to the file identifier, the identifier of the execution object, and the identifier of the target data source; and the display unit 804 generates the aggregated data according to the similar data and the updated data and displays the aggregated data when judging that the similar data is stored.
Optionally, the file identification is a decision book number; the similar data determination unit 803 is specifically configured to: inquiring a preset data table according to the file identification and the identification of the execution object to obtain a similar data set which is similar to the updated data and is formed by the same data of the execution object; when the similar data set is a non-empty set, judging whether the data of the target data source exists in the similar data set or not based on the identification of the target data source; when the data of the target data source does not exist in the similar data set, determining that the similar data are stored; the similar data come from other data sources and are similar to the updating data, and the execution object of the similar data is the same as that of the updating data.
Optionally, the similar data determining unit 803 is further specifically configured to: extracting the numbers in the determined text numbers; based on the number and the identification of the execution object, data similar to the update data and identical to the execution object is obtained from the data table to obtain a similar data set.
Optionally, the similar data determining unit 803 is further specifically configured to: determining a data source of each piece of data in the similar data set; comparing the identifier of the target data source with the identifier of the data source of each piece of data; and judging whether the data from the target data source exists in the similar data set or not according to the comparison result.
Optionally, the display unit 804 is specifically configured to: determining a parent self-increment identification of the updated data; the father self-adding identification is the identification of father data in similar data; determining a similarity amount of the parent data; wherein the similarity measure is used to characterize the amount of data similar to the parent data; merging the similar data and the updated data into aggregated data based on the parent self-increment identification and the similar quantity; wherein the aggregated data comprises parent data and corresponding quantity description information of similar data.
Optionally, the data display apparatus 800 further comprises: the similar data page display unit is used for displaying the corresponding similar data page when the number description information is clicked; and the detail information page display unit of the target data is used for displaying the detail information page of the parent data when the detail button of the parent data is clicked.
Optionally, the data display apparatus 800 further comprises: and the similar data detail information page display unit is used for displaying the corresponding similar data detail information page when the similar data page is clicked.
Optionally, the data display apparatus 800 further comprises: and the state updating unit is used for updating the display state of the existing data when the data from the target data source exists in the similar data set.
Optionally, the data display apparatus 800 further comprises: a parent data determination unit configured to determine, when there is only one piece of similar data, the similar data as parent data before determining a parent self-increment flag of the update data; when there are two or more pieces of similar data, one piece of target data is determined as parent data from the plurality of pieces of similar data based on the identification of the data source of each piece of similar data.
Optionally, the data display apparatus 800 further comprises: a parent data update determination unit for updating the parent data based on the update data and the similar data; a parent self-adding identification adjusting unit for adjusting the parent self-adding identification of other data similar to the parent data based on the updated identification of the parent data; and the aggregated data updating unit is used for updating the displayed aggregated data based on the updated parent data and the adjusted parent self-increment identification.
Optionally, the data display apparatus 800 further comprises: a data table creating unit for creating a data table; the data table is used for storing data from different data sources; the identification determining unit of the data source is used for determining the identification of each data source accessed to the data table and storing the identification into the data table; and the monitoring task setting unit is used for storing the published data of each data source into a data table and setting a monitoring task for each data source.
The data display apparatus 800 according to the embodiment of the present invention corresponds to the data display method 100 according to another embodiment of the present invention, and is not described herein again.
Exemplary electronic device
Fig. 9 is a structure of an electronic device according to an exemplary embodiment of the present invention. The electronic device may be either or both of the first device and the second device, or a stand-alone device separate from them, which stand-alone device may communicate with the first device and the second device to receive the acquired input signals therefrom. FIG. 9 illustrates a block diagram of an electronic device in accordance with an embodiment of the disclosure. As shown in fig. 9, the electronic device includes one or more processors 91 and memory 92.
The processor 91 may be a Central Processing Unit (CPU) or other form of processing unit having data processing capabilities and/or instruction execution capabilities, and may control other components in the electronic device to perform desired functions.
The input device 93 may also include, for example, a keyboard, a mouse, and the like.
The output device 94 can output various information to the outside. The output devices 94 may include, for example, a display, speakers, a printer, and a communication network and remote output devices connected thereto, among others.
Of course, for simplicity, only some of the components of the electronic device relevant to the present disclosure are shown in fig. 9, omitting components such as buses, input/output interfaces, and the like. In addition, the electronic device may include any other suitable components, depending on the particular application.
Exemplary computer program product and computer-readable storage Medium
In addition to the above-described methods and apparatus, embodiments of the present disclosure may also be a computer program product comprising computer program instructions that, when executed by a processor, cause the processor to perform the steps in the method of information mining of historical change records according to various embodiments of the present disclosure described in the "exemplary methods" section above of this specification.
The computer program product may write program code for carrying out operations for embodiments of the present disclosure in any combination of one or more programming languages, including an object oriented programming language such as Java, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computing device, partly on the user's device, as a stand-alone software package, partly on the user's computing device and partly on a remote computing device, or entirely on the remote computing device or server.
Furthermore, embodiments of the present disclosure may also be a computer-readable storage medium having stored thereon computer program instructions that, when executed by a processor, cause the processor to perform steps in a method of information mining of historical change records according to various embodiments of the present disclosure described in the "exemplary methods" section above in this specification.
The computer-readable storage medium may take any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. A readable storage medium may include, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples (a non-exhaustive list) of the readable storage medium include: an electrical connection having one or more wires, a portable disk, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
The foregoing describes the general principles of the present disclosure in conjunction with specific embodiments, however, it is noted that the advantages, effects, etc. mentioned in the present disclosure are merely examples and are not limiting, and they should not be considered essential to the various embodiments of the present disclosure. Furthermore, the foregoing disclosure of specific details is for the purpose of illustration and description and is not intended to be limiting, since the disclosure is not intended to be limited to the specific details so described.
In the present specification, the embodiments are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same or similar parts in the embodiments are referred to each other. For the system embodiment, since it basically corresponds to the method embodiment, the description is relatively simple, and for the relevant points, reference may be made to the partial description of the method embodiment.
The block diagrams of devices, apparatuses, systems referred to in this disclosure are only given as illustrative examples and are not intended to require or imply that the connections, arrangements, configurations, etc. must be made in the manner shown in the block diagrams. These devices, apparatuses, devices, systems may be connected, arranged, configured in any manner, as will be appreciated by those skilled in the art. Words such as "including," "comprising," "having," and the like are open-ended words that mean "including, but not limited to," and are used interchangeably therewith. The words "or" and "as used herein mean, and are used interchangeably with, the word" and/or, "unless the context clearly dictates otherwise. The word "such as" is used herein to mean, and is used interchangeably with, the phrase "such as but not limited to".
The methods and apparatus of the present disclosure may be implemented in a number of ways. For example, the methods and apparatus of the present disclosure may be implemented by software, hardware, firmware, or any combination of software, hardware, and firmware. The above-described order for the steps of the method is for illustration only, and the steps of the method of the present disclosure are not limited to the order specifically described above unless specifically stated otherwise. Further, in some embodiments, the present disclosure may also be embodied as programs recorded in a recording medium, the programs including machine-readable instructions for implementing the methods according to the present disclosure. Thus, the present disclosure also covers a recording medium storing a program for executing the method according to the present disclosure.
It is also noted that in the devices, apparatuses, and methods of the present disclosure, each component or step can be decomposed and/or recombined. These decompositions and/or recombinations are to be considered equivalents of the present disclosure. The previous description of the disclosed aspects is provided to enable any person skilled in the art to make or use the present disclosure. Various modifications to these aspects will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other aspects without departing from the scope of the disclosure. Thus, the present disclosure is not intended to be limited to the aspects shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
The foregoing description has been presented for purposes of illustration and description. Furthermore, this description is not intended to limit embodiments of the disclosure to the form disclosed herein. While a number of example aspects and embodiments have been discussed above, those of skill in the art will recognize certain variations, modifications, alterations, additions and sub-combinations thereof.
Claims (14)
1. A method for displaying data, comprising:
acquiring update data of a target data source;
extracting a file identifier and an execution object from the updating data, and determining the identifier of the execution object and the identifier of the target data source;
judging whether similar data are stored or not according to the file identification, the identification of the execution object and the identification of the target data source;
and when the similar data are judged to be stored, generating aggregated data according to the similar data and the updated data, and displaying the aggregated data.
2. The method according to claim 1, wherein the determining whether similar data is stored according to the file identifier, the identifier of the execution object, and the identifier of the target data source comprises:
inquiring a preset data table according to the file identification and the identification of the execution object to obtain a similar data set which is similar to the update data and is formed by the same data of the execution object;
when the similar data set is a non-empty set, judging whether the data of the target data source exists in the similar data set or not based on the identification of the target data source;
when the data of the target data source does not exist in the similar data set, determining that the similar data are stored; and the similar data come from other data sources and are similar to the updating data, and the execution object of the similar data is the same as that of the updating data.
3. The method of claim 2,
the file identification is a determined file number;
the querying a preset data table according to the file identifier and the identifier of the execution object to obtain a similar data set composed of data similar to the update data and identical to the execution object, includes:
extracting the numbers in the decision text number;
and acquiring data which is similar to the updated data and is the same as the execution object from the data table based on the number and the identification of the execution object to obtain the similar data set.
4. The method of claim 2, wherein determining whether data of the target data source exists in the similar data set based on the identification of the target data source comprises:
determining a data source of each piece of data in the similar data set;
comparing the identifier of the target data source with the identifier of the data source of each piece of data;
and judging whether the data from the target data source exists in the similar data set or not according to the comparison result.
5. The method according to any one of claims 1 to 4, wherein the generating aggregated data from the similar data and the update data when it is determined that the similar data is stored comprises:
determining a parent autonomy identification of the updated data; wherein the father self-increment identification is the identification of the father data in the similar data;
determining an amount of similarity of the parent data; wherein the similarity measure is used to characterize the amount of data similar to the parent data;
merging the similar data and the updated data into aggregated data based on the parent self-increment identification and the similar quantity; wherein the aggregated data comprises quantity description information of the parent data and corresponding similar data.
6. The method of claim 5, further comprising:
when the quantity description information is clicked, displaying a corresponding similar data page;
and when the detail button of the parent data is clicked, displaying a detail information page of the parent data.
7. The method of claim 6, further comprising:
and when the similar data page is clicked, displaying a corresponding similar data detail information page.
8. The method of claim 2, further comprising:
when data from the target data source exists in the similar data set, updating the presentation state of the existing data.
9. The method of claim 5, wherein prior to determining the parent introductions identity of the updated data, further comprising:
when only one piece of similar data exists, determining the similar data as the father data;
when there are two or more pieces of similar data, a piece of target data is determined as the parent data from the plurality of pieces of similar data based on the identification of the data source of each piece of similar data.
10. The method of claim 9, further comprising:
updating the parent data based on the updated data and the similar data;
based on the updated identification of the parent data, adjusting the parent self-adding identification of other data similar to the parent data;
updating the displayed aggregated data based on the updated parent data and the adjusted parent self-increment identification.
11. The method of claim 1, further comprising:
creating a data table; wherein the data table is used for storing data from different data sources;
determining the identification of each data source accessed to the data table and storing the identification into the data table;
storing the published data of each data source into the data table, and setting a monitoring task for each data source.
12. A data presentation device, comprising:
the updating data acquisition unit is used for acquiring the updating data of the target data source;
an information acquisition unit, configured to extract a file identifier and an execution object from the update data, and determine an identifier of the execution object and an identifier of the target data source;
a similar data determining unit, configured to determine whether similar data is stored according to the file identifier, the identifier of the execution object, and the identifier of the target data source;
and the display unit generates aggregate data according to the similar data and the updated data and displays the aggregate data when judging that the similar data are stored.
13. An electronic device, characterized in that the electronic device comprises: a processor and a memory; wherein,
the memory to store the processor-executable instructions;
the processor is configured to read the executable instructions from the memory and execute the instructions to implement the method of any one of claims 1-11.
14. A computer-readable storage medium, characterized in that the computer-readable storage medium stores a computer program for performing the method of any of the preceding claims 1-11.
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Effective date of registration: 20230801 Address after: Room 404-405, 504, Building B-17-1, Big data Industrial Park, Kecheng Street, Yannan High tech Zone, Yancheng, Jiangsu Province, 224000 Applicant after: Yancheng Tianyanchawei Technology Co.,Ltd. Address before: 224000 room 501-503, building b-17-1, Xuehai road big data Industrial Park, Kecheng street, Yannan high tech Zone, Yancheng City, Jiangsu Province Applicant before: Yancheng Jindi Technology Co.,Ltd. |
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