WO2023208246A1 - Procédé et appareil de gestion de données, dispositif et support de stockage - Google Patents

Procédé et appareil de gestion de données, dispositif et support de stockage Download PDF

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Publication number
WO2023208246A1
WO2023208246A1 PCT/CN2023/092688 CN2023092688W WO2023208246A1 WO 2023208246 A1 WO2023208246 A1 WO 2023208246A1 CN 2023092688 W CN2023092688 W CN 2023092688W WO 2023208246 A1 WO2023208246 A1 WO 2023208246A1
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Prior art keywords
information
client
data
data information
target data
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PCT/CN2023/092688
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English (en)
Chinese (zh)
Inventor
彭佳伟
蒙天庆
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深圳市未来鼠信息技术有限公司
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Publication of WO2023208246A1 publication Critical patent/WO2023208246A1/fr

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/22—Indexing; Data structures therefor; Storage structures
    • G06F16/2219—Large Object storage; Management thereof
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/22—Indexing; Data structures therefor; Storage structures
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24—Querying
    • G06F16/245—Query processing
    • G06F16/2455—Query execution
    • G06F16/24553—Query execution of query operations
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/10—Services
    • G06Q50/18—Legal services
    • G06Q50/184—Intellectual property management

Definitions

  • the present application relates to the field of information processing technology, and in particular to a data management method, device, equipment and storage medium.
  • This application aims to solve the above-mentioned time-consuming, labor-intensive and insufficiently intelligent problems, and proposes a data management method, device, equipment and storage medium. This method can realize convenient management of data information by enterprises, saving time and effort.
  • a data management method characterized in that it is applied to an information processing platform, and the information processing platform includes: a client;
  • the methods include:
  • the associated information interact with a third-party database to obtain corresponding target data information
  • Field information includes: name information, status information;
  • a data management device applied to an information processing platform, the information processing platform includes: a client;
  • the device includes:
  • the receiving module is used to receive data request instructions sent by the client;
  • An acquisition module configured to acquire the client-related information according to the data request instruction
  • An interaction module configured to interact with a third-party database to obtain corresponding target data information based on the associated information
  • the import module is used to extract the target data information according to the preset field model, import the extracted information matching the preset fields to the corresponding client, and obtain multiple field information corresponding to each target data.
  • the plurality of field information includes: name information, status information;
  • the display module is used to display multiple field information corresponding to each target data on the corresponding client in a preset format.
  • a computer-readable storage medium stores a computer program.
  • the computer program When executed by a processor, it causes the processor to perform the following steps:
  • the associated information interact with a third-party database to obtain corresponding target data information
  • Field information includes: name information, status information;
  • a computer device includes a memory and a processor.
  • the memory stores a computer program.
  • the computer program When executed by the processor, it causes the processor to perform the following steps:
  • the associated information interact with a third-party database to obtain corresponding target data information
  • Field information includes: name information, status information;
  • the client when the client needs to import information, it only needs to trigger the data request instruction. There is no need to manually enter any content.
  • the client related information will be automatically obtained according to the data request instruction. Then interact with the third-party database based on the associated information to obtain the target data information, and perform field extraction on the target data information according to the preset field model, then import it to the client, and display it on the corresponding client according to the preset format.
  • This data management method can intelligently obtain client-related information, save time and effort, and realize convenient management of data information.
  • Figure 1 is a flow chart of a data management method in one embodiment
  • Figure 2 is a flow chart of a data management method in another embodiment
  • Figure 3 is a structural block diagram of a data management device in one embodiment
  • Figure 4 is a block diagram of the internal structure of a computer device in one embodiment.
  • an embodiment means that a particular feature, structure or characteristic described in connection with the embodiment can be included in at least one embodiment of the present application.
  • the appearances of this phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. Those skilled in the art understand, both explicitly and implicitly, that the embodiments described herein may be combined with other embodiments.
  • the information processing platform includes: a client;
  • the methods include:
  • Step 102 Receive the data request instruction sent by the client.
  • the data request instructions can be automatically triggered or passively triggered. For example, timing can be set for monitoring and triggering.
  • a data import button can be provided on the client interface, and the corresponding data request instruction is triggered through the data import button.
  • Step 104 Obtain client association information according to the data request instruction.
  • the client association information may be one or more personal/enterprise information associated with the client. For example, if the data you want to import is patent data, you can use the company information (that is, the applicant information) as the related information by default.
  • the client association information can also be obtained by analyzing and extracting the imported data information in the client. For example, according to the analysis of the imported data information, it is found that the imported data information contains multiple enterprises/ For individual subjects, the multiple subjects will be directly used as the client associated information.
  • the user information of the client can be the registration information of an individual/enterprise
  • extract multiple enterprise/individual entities as default client association information; specifically, use the user information as a search condition in a third party
  • the enterprise query platform queries the enterprises associated with the current user, such as Daoqicha, Aiqicha, Tianyancha, etc. to query the enterprises associated with the current user, and extracts enterprises that meet the preset conditions (such as the user's shareholding ratio reaches A certain threshold, and/or, the shareholding ratio in shareholder information reaches a certain threshold) as the associated information of the current client; in this way, the client associated information can be obtained intelligently without user input or editing, avoiding the need for users to enter during manual input. errors or omissions, and the client-related information obtained through this method is more efficient and accurate.
  • the user can be allowed to select and confirm.
  • Step 106 According to the associated information, interact with the third-party database to obtain the corresponding target data information.
  • the search conditions are also determined, and the corresponding target data information is searched for in the third-party database based on the associated information.
  • Step 108 Extract the target data information according to the preset field model, import the extracted information matching the preset fields to the corresponding client, and obtain multiple field information corresponding to each target data.
  • Multiple fields Information includes: name information, status information.
  • the preset field model is used to extract preset fields from the target data information, so that multiple field information corresponding to each target data can be extracted.
  • Step 110 Display multiple field information corresponding to each target data on the corresponding client in a preset format.
  • the layout format of multiple fields is set in advance on the client, and the multiple field information corresponding to each target data is displayed based on the preset format.
  • the client when the client needs to import information, it only needs to trigger the data request instruction. There is no need to manually enter any content.
  • the client's associated information will be automatically obtained according to the data request instruction, and then the client's associated information will be obtained based on the associated information.
  • the database interacts to obtain the target data information, extracts fields according to the preset field model, then imports it to the client, and displays it on the corresponding client according to the preset format.
  • This data management method can intelligently obtain client-related information, save time and effort, and realize convenient management of data information.
  • obtaining the client associated information according to the data request instruction includes: obtaining the user information of the client, and querying the third party platform based on the user information associated with the user information. At least one enterprise information, using the at least one enterprise information as the client associated information; or when there is imported data information in the client, extracting the enterprise subject or individual subject in the imported data information , using the enterprise subject or individual subject as the client associated information.
  • the method further includes: filtering out data information that has been imported to the client from the target data information, as the first target data information; use the data information in the target data information that is not imported into the client as the second target data information;
  • the target data information is extracted according to the preset field model, and the extracted information matching the preset fields is imported to the corresponding client to obtain multiple field information corresponding to each target data.
  • the plurality of field information includes: name information and status information, including: updating the status information of the imported data information in the client according to the first target data information; updating the second target according to the preset field model.
  • Data information is extracted, and the extracted information matching the preset fields is imported to the corresponding client.
  • the client may already have some imported data information.
  • the imported data information is filtered out from the found target data information as the first target data information. , and subsequently based on the first target data, only the status of the imported data information needs to be updated, and no repeated import is required.
  • the fields are extracted and imported to the corresponding client. This method not only avoids repeated imports, but also enables status updates of imported data information, saving time, effort, and high efficiency and intelligence.
  • the above data management method also includes:
  • Step 112 The information processing platform regularly monitors the newly added data information set in the third-party database, and the data information set includes multiple pieces of new data information;
  • the information processing platform can also actively monitor new data information sets in third-party databases, for example, crawl new data information in third-party databases every day or every week. Then automatically assigned to the associated client.
  • Step 114 For each piece of newly added data information, find whether there is an associated client. If it exists, use the preset field model to extract the fields of the corresponding data information and import it to the corresponding client. If it does not exist, then Discard the corresponding data information.
  • each piece of new data information it is automatically searched whether there is an associated client, that is, whether each piece of newly added data information matches the client's associated information. For example, if the associated information is applicant information, then the applicant information in the new data information can be obtained, and then matched with the applicant information on the client. If there is a match, the new data information will be distributed to the corresponding client. If no client is matched, the data information is discarded.
  • the data information of actively distributed clients can be marked as new, which makes it easier for enterprise users to understand which data is new and improves the efficiency and convenience of information acquisition.
  • the newly added data information in the third-party database is actively obtained, and then distributed to the associated client, enabling enterprise users to obtain information and data without any sense, further providing enterprises with the convenience of data management.
  • obtaining the client association information according to the data request instruction includes: obtaining whether there is imported data information in the client; if there is, then processing the imported data The information is analyzed and identified, and the associated information is determined based on the analysis and identification results; if it does not exist, the personal information or corporate information corresponding to the client is obtained as the associated information.
  • the client's associated information there are two ways to obtain the client's associated information.
  • One is to obtain the personal information or corporate information corresponding to the client as the associated information, and the other is to analyze the imported data information in the client to determine the associated information, such as , you can analyze what applicant information exists in the imported data information, and then use the analyzed applicant information as associated information.
  • analyzing and identifying the imported data information, and determining the associated information based on the analysis and identification results includes:
  • the one or more common features are displayed on the client as selection items, the client's selection of the one or more common features is obtained, and the associated information is determined based on the selection.
  • common features are extracted from the imported data information. For example, if the imported data information all corresponds to a certain enterprise, then the enterprise is one of the common features. If the imported data information all corresponds to a certain enterprise, then the enterprise is one of the common features. technology or a certain classification number, then the technology or classification number is also one of the common features, and the extracted common features are displayed on the client as selection items. The client can select one or more common features as related information according to needs. By analyzing the imported data information, multiple common features are extracted and then displayed on the client.
  • enterprise users can select one or more common features as associated information according to actual needs, and then automatically use the associated information to This method of obtaining corresponding data information is very friendly to enterprise users and is conducive to exploring the potential needs of enterprise users. For enterprise users, they only need to click and select without manually entering any information, saving time and effort, and making the operation convenient.
  • the method includes: when detecting that the client performs a deletion operation on one or more pieces of data information that has been imported, performing feature identification on the deleted one or more pieces of data information, and determining that the Characteristic tags of one or more pieces of data information; based on the characteristic tags, it is prompted whether to delete all imported data information with the characteristic tags.
  • enterprises not only have needs for new data, but also need to delete old or data information that they no longer want to pay attention to.
  • the features of the deleted one or more pieces of data are identified and the corresponding Feature tags.
  • the method further includes: obtaining an update instruction for the selected data information; interacting with the third-party database according to the update instruction to obtain the latest status of the selected data information. Status updates the status information.
  • the method further includes: when a new field is detected, obtaining the new field information corresponding to the imported data information by interacting with a third-party database; and converting the new field information corresponding to the imported data information to The added field information is imported into the corresponding field location and displayed on the corresponding client.
  • enterprise users can customize fields as needed, that is, they can choose which fields to display. If additional fields need to be added for the imported data information, the fields that need to be added are obtained, and then the fields are obtained by interacting with the third-party database. Extract the field information corresponding to the newly added field and import it to the client for display. This method can meet the customized needs of enterprise users.
  • interacting with a third-party database to obtain corresponding target data information based on the associated information includes: searching in the third database based on the associated information all data corresponding to the associated information.
  • Data information filter out data information in a valid state from all data information as the target data information.
  • data information in an invalid state is often useless to enterprises. Therefore, when performing data search, data information in a valid state can be filtered out as target data information according to the validity and invalidity of the data state, thereby providing information that is more beneficial to enterprise users. Acquire and manage.
  • a data management device is applied to an information processing platform, and the information processing platform includes: a client;
  • the receiving module 302 is used to receive data request instructions sent by the client;
  • the acquisition module 304 is used to acquire the client association information according to the data request instruction
  • the interaction module 306 is used to interact with a third-party database to obtain corresponding target data information based on the associated information
  • the import module 308 is used to extract the target data information according to the preset field model, import the extracted information matching the preset fields to the corresponding client, and obtain multiple fields corresponding to each target data.
  • Information, the plurality of field information includes: name information, status information;
  • the display module 310 is used to display multiple field information corresponding to each target data on the corresponding client in a preset format.
  • the data request instruction is triggered by a user or automatically monitored in a preset period.
  • the above device further includes:
  • a screening module configured to filter out the data information that has been imported into the client from the target data information as the first target data information; and use the data information that has not been imported into the client from the target data information as the second target data. information;
  • the import module is also used to update the status information of the imported data information in the client according to the first target data information; extract the second target data information according to the preset field model, and extract the extracted Information matching the preset fields is imported to the corresponding client.
  • the above device further includes:
  • a monitoring module configured for the information processing platform to regularly monitor new data information sets in the third-party database, where the data information set includes multiple pieces of new data information;
  • the search module is used to find whether there is an associated client for each new piece of data information. If it exists, use the preset field model to extract the fields of the corresponding data information and import it to the corresponding client. If it does not exist, , the corresponding data information is discarded.
  • the acquisition module is also used to obtain whether there is imported data information in the client; if it exists, analyze and identify the imported data information, and determine the associated information based on the analysis and identification results. ; If it does not exist, obtain the personal information or corporate information corresponding to the client as the associated information.
  • the acquisition module is also used to perform feature extraction on the imported data information to extract one or more common features; and display the one or more common features as options on the client , obtain the client's selection of the one or more common features, and determine the associated information based on the selection.
  • the above device includes:
  • a feature identification module configured to perform feature identification on the deleted one or more pieces of data information when it is detected that the client deletes one or more pieces of data information that has been imported, and determine that the one or more pieces of data information have been deleted. Characteristic labels of data information;
  • a prompting module configured to prompt whether to delete all imported data information with the characteristic label based on the characteristic label.
  • the above device includes: obtaining an update instruction for the selected data information; interacting with the third-party database according to the update instruction to obtain the latest status of the selected data information, and updating according to the latest status. the status information.
  • the above device further includes:
  • a new import module is used to obtain the new field information corresponding to the imported data information by interacting with a third-party database when a new field is detected; and import the new field information corresponding to the imported data information into Corresponding field positions and display on the corresponding client.
  • the interaction module is further configured to search for all data information corresponding to the associated information in the third database according to the associated information; and to filter out data information in a valid state from all data information. as the target data information.
  • Figure 4 shows an internal structure diagram of a computer device in one embodiment.
  • the computer device may be a server and includes a processor and a memory connected through a system bus.
  • memory includes non-volatile storage media and internal memory.
  • the non-volatile storage medium of the computer device stores an operating system and may also store a computer program.
  • the processor can implement the above data management method.
  • the internal memory may also store a computer program. When the computer program is executed by the processor, it can cause the processor to perform the above-mentioned data management method.
  • FIG. 4 is only a block diagram of a partial structure related to the solution of the present application, and does not constitute a limitation on the computer equipment to which the solution of the present application is applied.
  • Specific computer equipment can May include more or fewer parts than shown, or combine certain parts, or have a different arrangement of parts.
  • a computer-readable storage medium stores a computer program.
  • the computer program When the computer program is executed by a processor, it causes the processor to execute the steps of the above data management method.
  • a computer device includes a memory and a processor.
  • the memory stores a computer program.
  • the processor executes the steps of the above data management method.
  • Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory.
  • Volatile memory may include random access memory (RAM) or external cache memory.
  • RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous chain Synchlink DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.
  • SRAM static RAM
  • DRAM dynamic RAM
  • SDRAM synchronous DRAM
  • DDRSDRAM double data rate SDRAM
  • ESDRAM enhanced SDRAM
  • SLDRAM synchronous chain Synchlink DRAM
  • Rambus direct RAM
  • DRAM direct memory bus dynamic RAM
  • RDRAM memory bus dynamic RAM

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Abstract

La présente demande concerne un procédé de gestion de données qui est appliqué à une plateforme de traitement d'informations. La plateforme de traitement d'informations comprend des clients. Le procédé consiste à : recevoir une instruction de requête de données envoyée par un client ; selon l'instruction de requête de données, acquérir des informations associées du client ; selon les informations associées, effectuer une interaction avec une base de données tierce pour obtenir des informations de données cibles correspondantes ; extraire les informations de données cibles selon un modèle de champ prédéfini et importer des informations extraites correspondant à un champ prédéfini sur le client correspondant, pour obtenir de multiples éléments d'informations de champ correspondant à chaque élément de données cibles, les multiples éléments d'informations de champ comprenant des informations de nom et des informations d'état ; afficher les multiples éléments d'informations de champ correspondant à chaque élément de données cibles dans un format prédéfini sur le client correspondant. De cette manière, les données sont importées de manière efficace et pratique dans le client. De plus, l'invention concerne également un appareil de gestion de données, un dispositif et un support de stockage.
PCT/CN2023/092688 2022-04-26 2023-05-08 Procédé et appareil de gestion de données, dispositif et support de stockage WO2023208246A1 (fr)

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CN113688311A (zh) * 2021-06-18 2021-11-23 诺正集团股份有限公司 基于数据交互的信息推荐方法、装置、设备及存储介质
CN114154905A (zh) * 2021-12-09 2022-03-08 兴业银行股份有限公司 获取企业关联关系的方法及系统
CN114880323A (zh) * 2022-04-26 2022-08-09 深圳市未来鼠信息技术有限公司 数据管理方法、装置、设备及存储介质

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