CN115080620A

CN115080620A - Knowledge asset maintenance method, apparatus, device, medium, and program product

Info

Publication number: CN115080620A
Application number: CN202210744947.8A
Authority: CN
Inventors: 李双; 李培文; 左超
Original assignee: Industrial and Commercial Bank of China Ltd ICBC
Current assignee: Industrial and Commercial Bank of China Ltd ICBC
Priority date: 2022-06-27
Filing date: 2022-06-27
Publication date: 2022-09-20

Abstract

The disclosure provides a method for maintaining knowledge assets, which can be applied to the technical field of finance. The method comprises the following steps: acquiring target knowledge asset data in a database, wherein the database is used for storing knowledge asset data of which all maintenance states are marked as maintenance completion, comparing the target knowledge asset data with a knowledge asset list to determine the knowledge asset data of which the maintenance is not completed in the knowledge asset list, wherein the knowledge asset list records the knowledge asset data of which the maintenance state is to be determined, and the maintenance state of the knowledge asset data of which the maintenance is not completed is marked as maintenance completion in the knowledge asset list. The present disclosure also provides a knowledge asset maintenance apparatus, device, storage medium and program product.

Description

Knowledge asset maintenance method, apparatus, device, medium, and program product

Technical Field

The present disclosure relates to the field of financial technologies, and in particular, to the field of data processing, and more particularly, to a method, apparatus, device, medium, and program product for maintaining intellectual assets.

Background

Larger-scale businesses typically accumulate online knowledge assets through the Confluent tool. The whole process is generally that a planning person enters a blank page in software, then a designated asset responsible person or responsible group enters knowledge in the blank page, and finally a person responsible for the statistical work of asset progress regularly tracks the progress of asset maintenance.

The existing online knowledge asset accumulation progress mode has a manual mode and a crawler monitoring mode, but due to the fact that the number of participators, knowledge spaces and assets to be maintained is large, the corresponding relation between the knowledge assets and the personnel in charge of maintaining the assets of an enterprise is complex, the page tree levels of the knowledge spaces are different, the contents which are not deleted to be discarded cannot be marked, the mode of manually tracking the progress is huge in workload, and the progress is monitored in a database script and page crawler mode and is not flexible and visual.

Disclosure of Invention

In view of the foregoing, the present disclosure provides a knowledge asset maintenance method, apparatus, device, medium, and program product that improve the efficiency of knowledge asset maintenance.

According to a first aspect of the present disclosure, there is provided a knowledge asset maintenance method, comprising:

acquiring target knowledge asset data in a database, wherein the database is used for storing the knowledge asset data of which all maintenance states are marked as maintenance completion;

comparing the target knowledge asset data with a knowledge asset list to determine the knowledge asset data which is not maintained in the knowledge asset list, wherein the knowledge asset list records the knowledge asset data of a to-be-determined maintenance state;

and in the knowledge asset list, marking the maintenance state of the uncompleted maintenance knowledge asset data as uncompleted maintenance.

In an embodiment of the present disclosure, the acquiring target knowledge asset data in the database includes:

acquiring knowledge asset data on all pages in each space in the database;

selecting knowledge asset data which accord with a preset data filtering rule;

and taking the knowledge asset data which accords with the preset data filtering rule as the target knowledge asset data.

In an embodiment of the present disclosure, the data filtering rule includes at least one of:

the page title of the knowledge asset data belongs to a pre-existing title;

the function module of the knowledge asset data belongs to a preset function module;

the length of the specified content of the knowledge asset data is within a preset length range.

In an embodiment of the present disclosure, the method includes:

acquiring attribute information and information of responsible persons of all knowledge asset data in the knowledge asset list in the database;

and marking attribute information and responsible person information of all knowledge asset data in the knowledge asset list.

In an embodiment of the present disclosure, the attribute information includes at least one of a page number, a path of the functional module, and whether the functional module is a leaf node.

In an embodiment of the present disclosure, the method includes:

acquiring information of a responsible person of the uncompleted maintained intellectual asset data from the marked intellectual asset list;

and sending the maintenance state and attribute information of the uncompleted maintained intellectual asset data in the intellectual asset list to a responsible person corresponding to the responsible person information.

In an embodiment of the present disclosure, the acquiring knowledge asset data on all pages in each space in the database includes:

and acquiring knowledge asset data of which the maintenance states in all branch pages and leaf pages of each space in the database are marked as being maintained.

In an embodiment of the present disclosure, the database is a Confluence database.

In an embodiment of the present disclosure, the space is an area in the Confluence database, and the area is used for storing wiki pages.

A second aspect of the present disclosure provides a knowledge asset maintenance apparatus comprising:

the system comprises an acquisition module, a storage module and a management module, wherein the acquisition module is used for acquiring target knowledge asset data in a database, and the database is used for storing all knowledge asset data of which the maintenance states are marked as completed;

the comparison module is used for comparing the target knowledge asset data with a knowledge asset list to determine the knowledge asset data which is not maintained in the knowledge asset list, and the knowledge asset list records the knowledge asset data of a to-be-determined maintenance state;

and the marking module is used for marking the maintenance state of the uncompleted maintenance intellectual asset data in the intellectual asset list as uncompleted maintenance.

In an embodiment of the present disclosure, the obtaining module includes:

the acquisition submodule is used for acquiring knowledge asset data on all pages of each space in the database;

the selection submodule is used for selecting the knowledge asset data which accord with the preset data filtering rule;

and the determining submodule is used for taking the knowledge asset data which accords with the preset data filtering rule as the target knowledge asset data.

the page title of the knowledge asset data belongs to a preset title;

In an embodiment of the present disclosure, in the apparatus:

the acquisition module is also used for acquiring attribute information and information of a responsible person of all knowledge asset data in the knowledge asset list in the database;

and the marking module is also used for marking the attribute information and the information of the responsible persons of all the knowledge asset data in the knowledge asset list.

In an embodiment of the present disclosure, the apparatus includes:

the acquisition module is further used for acquiring the information of the responsible person of the uncompleted maintained intellectual asset data from the marked intellectual asset list;

and the sending module is used for sending the maintenance state and the attribute information of the uncompleted maintained intellectual asset data in the intellectual asset list to a responsible person corresponding to the responsible person information.

A third aspect of the present disclosure provides an electronic device, comprising: one or more processors; memory for storing one or more programs, wherein the one or more programs, when executed by the one or more processors, cause the one or more processors to perform the above-described knowledge asset maintenance method.

A fourth aspect of the present disclosure also provides a computer-readable storage medium having stored thereon executable instructions that, when executed by a processor, cause the processor to perform the above-described method of knowledge asset maintenance.

The fifth aspect of the present disclosure also provides a computer program product comprising a computer program which, when executed by a processor, implements the above-described method of knowledge asset maintenance.

According to the method, the target knowledge asset data in the database is obtained, the database is used for storing the knowledge asset data of which all maintenance states are marked as maintenance completion, the target knowledge asset data is compared with a knowledge asset list to determine the knowledge asset data of which maintenance is not completed in the knowledge asset list, the knowledge asset list records the knowledge asset data of which the maintenance state is to be determined, and the maintenance state of the knowledge asset data of which maintenance is not completed is marked as maintenance completion in the knowledge asset list, so that the working efficiency of enterprise knowledge asset progress statistics is effectively improved.

Drawings

The foregoing and other objects, features and advantages of the disclosure will be apparent from the following description of embodiments of the disclosure, which proceeds with reference to the accompanying drawings, in which:

FIG. 1 schematically illustrates an application scenario diagram of the knowledge asset maintenance method and apparatus according to an embodiment of the present disclosure;

FIG. 2 schematically illustrates a flow chart of a knowledge asset maintenance method according to an embodiment of the disclosure;

FIG. 3 schematically illustrates a structural diagram of a confluence database according to an embodiment of the present disclosure;

FIG. 4 schematically illustrates a flow chart of a knowledge asset maintenance method according to an embodiment of the disclosure;

FIG. 5 schematically illustrates a flow chart of a knowledge asset maintenance method according to an embodiment of the disclosure;

FIG. 6 schematically illustrates a correspondence diagram between a database and an enterprise architecture, in accordance with an embodiment of the present disclosure;

FIG. 7 schematically illustrates a flow chart of a knowledge asset maintenance method according to an embodiment of the disclosure;

FIG. 8 schematically illustrates a block diagram of a knowledge asset maintenance device according to an embodiment of the present disclosure; and

FIG. 9 schematically illustrates a block diagram of an electronic device adapted to implement a knowledge asset maintenance method in accordance with an embodiment of the disclosure.

Detailed Description

Hereinafter, embodiments of the present disclosure will be described with reference to the accompanying drawings. It should be understood that the description is illustrative only and is not intended to limit the scope of the present disclosure. In the following detailed description, for purposes of explanation, numerous specific details are set forth in order to provide a thorough understanding of the embodiments of the disclosure. It may be evident, however, that one or more embodiments may be practiced without these specific details. Moreover, in the following description, descriptions of well-known structures and techniques are omitted so as to not unnecessarily obscure the concepts of the present disclosure.

The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the disclosure. The terms "comprises," "comprising," and the like, as used herein, specify the presence of stated features, steps, operations, and/or components, but do not preclude the presence or addition of one or more other features, steps, operations, or components.

All terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art unless otherwise defined. It is noted that the terms used herein should be interpreted as having a meaning that is consistent with the context of this specification and should not be interpreted in an idealized or overly formal sense.

Where a convention analogous to "at least one of A, B and C, etc." is used, in general such a construction is intended in the sense one having skill in the art would understand the convention (e.g., "a system having at least one of A, B and C" would include but not be limited to systems that have a alone, B alone, C alone, a and B together, a and C together, B and C together, and/or A, B, C together, etc.).

It should be noted that the method and apparatus for maintaining intellectual property disclosed by the present disclosure can be used in the field of data processing in the financial field, and can also be used in any field other than the financial field.

An embodiment of the present disclosure provides a method for maintaining knowledge assets, including: the method comprises the steps of obtaining target knowledge asset data in a database, wherein the database is used for storing knowledge asset data of which all maintenance states are marked as maintenance completion, comparing the target knowledge asset data with a knowledge asset list to determine the knowledge asset data of which maintenance is not completed in the knowledge asset list, recording the knowledge asset data to be maintained in the knowledge asset list, and marking the maintenance states of the knowledge asset data of which maintenance is not completed as maintenance completion in the knowledge asset list so as to improve the maintenance efficiency of the knowledge asset.

Fig. 1 schematically illustrates an application scenario diagram of the knowledge asset maintenance method and apparatus according to an embodiment of the present disclosure.

As shown in fig. 1, the application scenario 100 according to this embodiment may include

terminal devices

101, 102, 103, a network 104, and a server 105. The network 104 serves as a medium for providing communication links between the

terminal devices

101, 102, 103 and the server 105. Network 104 may include various connection types, such as wired, wireless communication links, or fiber optic cables, to name a few.

The user may use the

terminal devices

101, 102, 103 to interact with the server 105 via the network 104 to receive or send messages or the like. The

terminal devices

101, 102, 103 may have installed thereon various communication client applications, such as shopping-like applications, web browser applications, search-like applications, instant messaging tools, mailbox clients, social platform software, etc. (by way of example only).

The

terminal devices

101, 102, 103 may be various electronic devices having a display screen and supporting web browsing, including but not limited to smart phones, tablet computers, laptop portable computers, desktop computers, and the like.

The server 105 may be a server providing various services, such as a background management server (for example only) providing support for websites browsed by users using the

terminal devices

101, 102, 103. The background management server may analyze and perform other processing on the received data such as the user request, and feed back a processing result (e.g., a webpage, information, or data obtained or generated according to the user request) to the terminal device.

It should be noted that the knowledge asset maintenance method provided by the embodiment of the present disclosure may be generally performed by the server 105. Accordingly, the knowledge asset maintenance apparatus provided by the embodiments of the present disclosure may be generally disposed in the server 105. The method for maintaining the knowledge asset provided by the embodiment of the present disclosure may also be performed by a server or a server cluster different from the server 105 and capable of communicating with the

terminal devices

101, 102, 103 and/or the server 105. Accordingly, the knowledge asset maintenance apparatus provided by the embodiment of the present disclosure may also be disposed in a server or a server cluster different from the server 105 and capable of communicating with the

terminal devices

101, 102, 103 and/or the server 105.

It should be understood that the number of terminal devices, networks, and servers in fig. 1 is merely illustrative. There may be any number of terminal devices, networks, and servers, as desired for implementation.

The knowledge asset maintenance method of the disclosed embodiment will be described in detail below with fig. 2 to 6 based on the scenario described in fig. 1.

FIG. 2 schematically illustrates a flow chart of a knowledge asset maintenance method according to an embodiment of the disclosure.

As shown in fig. 2, the method for maintaining the knowledge asset of the embodiment includes operations S210 to S230, and the method includes:

in operation S210, target knowledge asset data in a database for storing knowledge asset data whose maintenance status has been marked as maintenance completion is obtained.

In operation S220, the target intellectual asset data is compared with an intellectual asset list, and the incomplete maintained intellectual asset data in the intellectual asset list is determined, wherein the intellectual asset list records the intellectual asset data of the maintenance state to be determined.

In operation S230, the maintenance status of the uncompleted maintained intellectual asset data is marked as uncompleted maintenance in the intellectual asset list.

In the present disclosure, knowledge assets refer to the sum of the values of explicit knowledge and implicit knowledge that enterprises rely on for survival and development in the era of knowledge economy. The method has no independent entity form, exists depending on a certain carrier, and can bring economic benefits to enterprises in a certain period. Knowledge assets can be divided into four categories: (1) market assets are intangible asset potentials owned by enterprises and associated with the market, including various brands, trust of customers, long-term customers, sales channels, patent granting contractual agreements, and the like. (2) An intellectual property asset. (3) Human assets refer to group skills, creativity, ability to solve problems, leadership, enterprise management mechanisms. (4) Infrastructure assets refer to technologies, modes of operation, and procedures that enable an enterprise to operate. The knowledge assets referred to by this disclosure can be any one or more of the four above-mentioned categories, to which this disclosure is not limited.

In the present disclosure, the database may be a Confluence database, which is a multi-person collaborative writing tool (wiki) at an enterprise level, and may be used for information sharing and collaborative editing within an enterprise, a department, or a team. Referring to FIG. 3, a space is an area in the Confluence database for storing wiki pages, and can implement uniform rights management for all documents in the space. It is generally possible to create a space for each project individually and then place document information related to the project into the space and open access/editing rights only to members of the project. In addition to the project space, each member has a personal space. The member can place documents such as work summaries or notes into its own space, and for documents that are helpful to the team, can move the documents into the team project space. Among them, in the Confluence database, pages are the main way to store and share information. Pages can be linked, connected, organized and accessed to each other and organized in a tree structure, placed in space, with the types of pages including branch pages and leaf pages. Wherein, besides using blank documents, templates can be selected when creating pages. The template is based on blank documents, and some document elements are added according to specific requirements, so that a user can be assisted to better and faster create the documents. The Confluence database is provided with a large number of built-in templates, and can be used for assisting various links of project work, including product requirements, meeting records, decision records, instruction manuals, review records, work plans, task reports and the like.

In the present disclosure, knowledge asset data is stored in a database for which all maintenance states have been marked as completed. The target intellectual asset data refers to the intellectual asset data which is stored in the database and is marked to be maintained in a qualified maintenance state. And acquiring target knowledge asset data in the database, namely acquiring knowledge asset data of which the maintenance states in all branch pages and leaf pages of each space in the database are marked as maintenance completion.

In the disclosure, the intellectual asset list may be drawn according to a database, and the intellectual asset list records the intellectual asset data of the maintenance state to be determined, where the intellectual asset data of the maintenance state to be determined includes target intellectual asset data in the database, for example, 12 pieces of intellectual asset data are recorded in the intellectual asset list, 8 pieces of tagged intellectual asset data are recorded in the database, and the 8 pieces of intellectual asset data are inevitably present in the intellectual asset list, where the maintenance state of the remaining 4 pieces of intellectual asset data in the intellectual asset list is not maintained since the maintenance state of the 8 pieces of intellectual asset data is tagged as being completed.

In one embodiment of the present disclosure, the format of the knowledge asset list is Comma Separated Values format (csv), which files store tabular data (numeric and text) in plain text form. Plain text means that the file is a sequence of characters, containing no data that must be interpreted like binary digits. CSV file is made up of any number of records, separated by some kind of line feed; each record is made up of fields, and separators between fields are other characters or strings, most commonly commas or tabs. Typically, all records have identical field sequences. The comma separated value can be used for clearly displaying the information related to the knowledge assets.

FIG. 4 schematically illustrates a flow chart of a knowledge asset maintenance method according to an embodiment of the disclosure.

As shown in fig. 4, the knowledge asset maintenance method of this embodiment includes operations S410 to S430, and the method includes:

in operation S410, acquiring knowledge asset data on all pages of each space in the database;

in operation S420, selecting knowledge asset data that meets a preset data filtering rule;

in operation S430, the intellectual asset data meeting the preset data filtering rule is used as the target intellectual asset data.

In the present disclosure, knowledge asset data on all pages in each space in the database is obtained, that is, basic contents and information body contents of all branch pages and leaf pages in each space in the database are obtained.

In an embodiment of the present disclosure, the data filtering rule includes at least one of: the title of the page where the knowledge asset data is located belongs to a preset title; the function module of the knowledge asset data belongs to a preset function module; the length of the specified content of the knowledge asset data is within a preset length range.

In one example, when the data filtering rule includes that a page title of the knowledge asset data belongs to a preset title, acquiring the knowledge asset data on all pages in each space in the database, selecting the knowledge asset data of which the page title of the knowledge asset data belongs to the preset title, and taking the knowledge asset data as the target knowledge asset data. The preset title, such as staging conditions, permission settings, etc., is not limited by this disclosure.

In one example, when the data filtering rule includes that the function module to which the knowledge asset data belongs to a preset function module, the knowledge asset data on all pages of each space in the database is acquired, the knowledge asset data of which the function module to which the knowledge asset data belongs to the preset function module is selected, and the knowledge asset data is used as the target knowledge asset data. The preset function module, such as payment, development, process management, etc., is not limited in this disclosure.

In one example, when the data filtering rule includes that the length of the specified content of the knowledge asset data is within a preset length range, the knowledge asset data on all pages of each space in the database is acquired, the knowledge asset data of which the length of the specified content of the knowledge asset data is within the preset length range is selected, and the knowledge asset data is taken as the target knowledge asset data. The specified content length, e.g., article length above 50 words, document size above 2kb, etc., is not limited by this disclosure.

FIG. 5 schematically shows a flow chart of a knowledge asset maintenance method according to an embodiment of the disclosure.

As shown in fig. 5, the knowledge asset maintenance method of this embodiment includes operations S510 to S520, and the method includes:

in operation S510, acquiring attribute information and information of responsible persons of all the intellectual asset data in the database in the intellectual asset list;

in operation S520, attribute information and principal information of all the intellectual asset data are marked in the intellectual asset list.

In an embodiment of the present disclosure, the attribute information includes at least one of a page number, a path of the function module, and whether the function module is a leaf node.

In an embodiment of the present disclosure, prior to obtaining the information of the responsible person, the consent or authorization of the responsible person may be obtained. For example, a request for acquiring the information of the person in charge may be issued to the person in charge before operation S510. This operation 510 is performed in the event that the principal agrees or authorizes that the principal information can be obtained. As shown in fig. 6, fig. 6 schematically illustrates a correspondence diagram between a database and an enterprise architecture according to an embodiment of the present disclosure.

According to the embodiment of the disclosure, the information of the person in charge of and all knowledge asset data in the knowledge asset list in the database is acquired, and the information of the person in charge of and all knowledge asset data in the knowledge asset list is marked. Namely, the maintenance state information is marked in the knowledge asset list, and simultaneously, the attribute information and the information of the responsible person are marked, so that the maintenance efficiency of the knowledge asset list is higher.

FIG. 7 schematically shows a flow chart of a knowledge asset maintenance method according to an embodiment of the disclosure.

As shown in fig. 7, the knowledge asset maintenance method of this embodiment includes operations S510 to S520, and the method includes:

in operation S710, acquiring information of a responsible person of the uncompleted maintained intellectual asset data from the marked intellectual asset list;

in operation S720, the maintenance status and attribute information of the uncompleted maintained intellectual asset data in the intellectual asset list are sent to the responsible person corresponding to the responsible person information.

In the disclosure, the maintenance state and the attribute information of the incomplete maintained knowledge asset data in the knowledge asset list are sent to the responsible person corresponding to the information of the responsible person, and the attribute information includes at least one of a page number, a path of the functional module, and whether the incomplete maintained knowledge asset data is a leaf node, so that the responsible person can know the incomplete maintained knowledge asset data in detail, and the maintenance efficiency of the knowledge asset is improved.

Based on the knowledge asset maintenance method, the disclosure also provides a knowledge asset maintenance device. The apparatus will be described in detail below with reference to fig. 8.

FIG. 8 schematically shows a block diagram of a knowledge asset maintenance device according to an embodiment of the present disclosure.

As shown in FIG. 8, the knowledge asset maintenance device 800 of this embodiment includes an acquisition module 810, a comparison module 820, and a tagging module 830.

And an obtaining module 810, configured to obtain the target knowledge asset data in a database, where the database is used to store the knowledge asset data of which all maintenance statuses are marked as maintenance completion. In an embodiment, the obtaining module 810 may be configured to perform the operation S210 described above, which is not described herein again.

And a comparison module 820, configured to compare the target knowledge asset data with a knowledge asset list, and determine the knowledge asset data that is not maintained in the knowledge asset list, where the knowledge asset list records the knowledge asset data in a maintenance state to be determined. In an embodiment, the comparison module 820 may be configured to perform the operation S220 described above, which is not described herein again.

And a marking module 830, configured to mark, in the intellectual asset list, that the maintenance status of the uncompleted maintained intellectual asset data is marked as uncompleted maintenance. In an embodiment, the marking module 830 may be configured to perform the operation S230 described above, and is not described herein again.

In an embodiment of the disclosure, the obtaining module 810 includes:

the page title of the knowledge asset data belongs to a preset title;

In an embodiment of the present disclosure, in the apparatus 800:

the obtaining module 810 is further configured to obtain attribute information and information of a responsible person of all the knowledge asset data in the knowledge asset list in the database;

the marking module 830 is further configured to mark the attribute information and the responsible person information of all the intellectual asset data in the intellectual asset list.

In an embodiment of the present disclosure, the apparatus 800 includes:

the obtaining module 810 is further configured to obtain information of a responsible person of the uncompleted maintained intellectual asset data from the marked intellectual asset list;

and the sending module is used for sending the maintenance state and the attribute information of the uncompleted maintained knowledge asset data in the knowledge asset list to a responsible person corresponding to the responsible person information.

In one embodiment of the present disclosure, the format of the list of knowledge assets is comma separated value format.

According to the embodiment of the disclosure, any plurality of the fetching module 810, the comparing module 820 and the marking module 830 may be combined and implemented in one module, or any one of the modules may be split into a plurality of modules. Alternatively, at least part of the functionality of one or more of these modules may be combined with at least part of the functionality of the other modules and implemented in one module. According to an embodiment of the disclosure, at least one of the fetching module 810, the comparing module 820 and the marking module 830 may be implemented at least partially as a hardware circuit, such as a Field Programmable Gate Array (FPGA), a Programmable Logic Array (PLA), a system on a chip, a system on a substrate, a system on a package, an Application Specific Integrated Circuit (ASIC), or may be implemented in hardware or firmware by any other reasonable manner of integrating or packaging a circuit, or may be implemented in any one of or a suitable combination of software, hardware and firmware. Alternatively, at least one of the fetching module 810, the comparing module 820 and the marking module 830 may be at least partly implemented as a computer program module, which when executed may perform the respective functions.

As shown in fig. 9, an electronic apparatus 900 according to an embodiment of the present disclosure includes a processor 901 which can perform various appropriate actions and processes in accordance with a program stored in a Read Only Memory (ROM)902 or a program loaded from a storage portion 908 into a Random Access Memory (RAM) 903. Processor 901 may comprise, for example, a general purpose microprocessor (e.g., a CPU), an instruction set processor and/or associated chipset, and/or a special purpose microprocessor (e.g., an Application Specific Integrated Circuit (ASIC)), among others. The processor 901 may also include on-board memory for caching purposes. The processor 901 may comprise a single processing unit or a plurality of processing units for performing the different actions of the method flows according to embodiments of the present disclosure.

In the RAM 903, various programs and data necessary for the operation of the electronic apparatus 900 are stored. The processor 901, the ROM 902, and the RAM 903 are connected to each other through a bus 904. The processor 901 performs various operations of the method flows according to the embodiments of the present disclosure by executing programs in the ROM 902 and/or the RAM 903. Note that the programs may also be stored in one or more memories other than the ROM 902 and the RAM 903. The processor 901 may also perform various operations of the method flows according to embodiments of the present disclosure by executing programs stored in the one or more memories.

Electronic device 900 may also include input/output (I/O) interface 905, input/output (I/O) interface 905 also connected to bus 904, according to an embodiment of the present disclosure. The electronic device 900 may also include one or more of the following components connected to the I/O interface 905: an input portion 906 including a keyboard, a mouse, and the like; an output section 907 including components such as a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and the like, and a speaker; a storage portion 908 including a hard disk and the like; and a communication section 909 including a network interface card such as a LAN card, a modem, or the like. The communication section 909 performs communication processing via a network such as the internet. The drive 910 is also connected to the I/O interface 905 as necessary. A removable medium 911 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 910 as necessary, so that a computer program read out therefrom is mounted into the storage section 908 as necessary.

The present disclosure also provides a computer-readable storage medium, which may be contained in the apparatus/device/system described in the above embodiments; or may exist separately and not be assembled into the device/apparatus/system. The computer-readable storage medium carries one or more programs which, when executed, implement the method according to an embodiment of the disclosure.

According to embodiments of the present disclosure, the computer-readable storage medium may be a non-volatile computer-readable storage medium, which may include, for example but is not limited to: a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the present disclosure, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. For example, according to embodiments of the present disclosure, a computer-readable storage medium may include the ROM 902 and/or the RAM 903 described above and/or one or more memories other than the ROM 902 and the RAM 903.

Embodiments of the present disclosure also include a computer program product comprising a computer program containing program code for performing the method illustrated by the flow chart. When the computer program product runs in a computer system, the program code is used for causing the computer system to realize the item recommendation method provided by the embodiment of the disclosure.

The computer program performs the above-described functions defined in the system/apparatus of the embodiments of the present disclosure when executed by the processor 901. The systems, apparatuses, modules, units, etc. described above may be implemented by computer program modules according to embodiments of the present disclosure.

In one embodiment, the computer program may be hosted on a tangible storage medium such as an optical storage device, a magnetic storage device, or the like. In another embodiment, the computer program may also be transmitted, distributed in the form of a signal on a network medium, and downloaded and installed through the communication section 909 and/or installed from the removable medium 911. The computer program containing program code may be transmitted using any suitable network medium, including but not limited to: wireless, wired, etc., or any suitable combination of the foregoing.

In such an embodiment, the computer program may be downloaded and installed from a network via the communication section 909 and/or installed from the removable medium 911. The computer program, when executed by the processor 901, performs the above-described functions defined in the system of the embodiment of the present disclosure. The systems, devices, apparatuses, modules, units, etc. described above may be implemented by computer program modules according to embodiments of the present disclosure.

In accordance with embodiments of the present disclosure, program code for executing computer programs provided by embodiments of the present disclosure may be written in any combination of one or more programming languages, and in particular, these computer programs may be implemented using high level procedural and/or object oriented programming languages, and/or assembly/machine languages. The programming language includes, but is not limited to, programming languages such as Java, C + +, python, the "C" language, or the like. The program code may execute entirely on the user computing device, partly on the user device, partly on a remote computing device, or entirely on the remote computing device or server. In the case of a remote computing device, the remote computing device may be connected to the user computing device through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computing device (e.g., through the internet using an internet service provider).

The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams or flowchart illustration, and combinations of blocks in the block diagrams or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.

Those skilled in the art will appreciate that various combinations and/or combinations of features recited in the various embodiments and/or claims of the present disclosure can be made, even if such combinations or combinations are not expressly recited in the present disclosure. In particular, various combinations and/or combinations of the features recited in the various embodiments and/or claims of the present disclosure may be made without departing from the spirit or teaching of the present disclosure. All such combinations and/or associations are within the scope of the present disclosure.

The embodiments of the present disclosure have been described above. However, these examples are for illustrative purposes only and are not intended to limit the scope of the present disclosure. Although the embodiments are described separately above, this does not mean that the measures in the embodiments cannot be used in advantageous combination. The scope of the disclosure is defined by the appended claims and equivalents thereof. Various alternatives and modifications can be devised by those skilled in the art without departing from the scope of the present disclosure, and such alternatives and modifications are intended to be within the scope of the present disclosure.

Claims

1. A method of knowledge asset maintenance comprising:

comparing the target knowledge asset data with a knowledge asset list to determine the incomplete maintenance knowledge asset data in the knowledge asset list, wherein the knowledge asset list records the knowledge asset data of the maintenance state to be determined;

2. The method of claim 1, the obtaining target knowledge asset data in a database comprising:

acquiring knowledge asset data on all pages in each space in the database;

selecting knowledge asset data which accord with a preset data filtering rule;

3. The method of claim 2, the data filtering rules comprising at least one of:

the page title of the knowledge asset data belongs to a preset title;

4. The method of claim 1, the method comprising:

5. The method of claim 4, the attribute information comprising at least one of a page number, the function module path, whether a leaf node.

6. The method of claim 5, the method comprising:

and sending the maintenance state and attribute information of the uncompleted maintained knowledge asset data in the knowledge asset list to a responsible person corresponding to the responsible person information.

7. The method of claim 2, wherein the obtaining knowledge asset data on all pages of each space in the database comprises:

8. The method of claim 4 or 5, the database being a Confluence database.

9. The method of claim 8, the space being an area in the Confluence database, the area for storing wiki pages.

10. The method of claim 4 or 5, wherein the format of the manifest is comma separated value format.

11. An intellectual asset maintenance device comprising:

and the marking module is used for marking the maintenance state of the uncompleted maintained knowledge asset data in the knowledge asset list as uncompleted maintenance.

12. An electronic device, comprising:

one or more processors;

a storage device for storing one or more programs,

wherein the one or more programs, when executed by the one or more processors, cause the one or more processors to perform the method of any of claims 1-10.

13. A computer readable storage medium having stored thereon executable instructions which, when executed by a processor, cause the processor to perform the method of any one of claims 1 to 10.

14. A computer program product comprising a computer program which, when executed by a processor, implements a method according to any one of claims 1 to 8.