A watershed knowledge sharing method, device, computer equipment and medium

Abstract

The present invention relates to the field of electronic technology, and discloses a watershed knowledge sharing method, device, computer equipment and medium. The method of the present invention calculates the knowledge evaluation value of the corresponding watershed business process through the cost information, first ranking coefficient, second ranking coefficient and business relevance index of each business process in different business domains, realizes the knowledge value evaluation of the relevant information of each business process, and performs subsequent watershed business knowledge sharing based on the knowledge evaluation value. Watershed knowledge sharing is realized based on the value of watershed business process information, and watershed business knowledge of different values ​​is shared with users who meet the corresponding requirements, thereby solving the knowledge isolation problem caused by different structures within the organization and improving the knowledge sharing ability of enterprises with different organizational structures but in the same field.

Description

Technical Field

[0001] The present invention relates to the field of electronic technology, and in particular to a watershed knowledge sharing method, device, computer equipment and medium. Background Art

[0002] The existing tools for knowledge management mainly include knowledge management systems, database management, document management systems, knowledge bases, etc. However, the definition of knowledge is different for each enterprise, and it will have its own uniqueness as the nature and business of the enterprise change. Directly using general knowledge management and sharing tools can only organize and store basin business knowledge in a certain form within the enterprise, and cannot completely solve the knowledge definition and intercommunication problems between different organizational structures and different businesses within the existing enterprise. In practice, there is still a lot of knowledge about different basin businesses that needs to be obtained through manual approval and communication, resulting in low efficiency in sharing basin business knowledge. Summary of the invention

[0003] In view of this, the present invention provides a watershed knowledge sharing method, apparatus, computer equipment and medium to solve the problem in the related technology that knowledge cannot be reasonably shared between different organizational structures and different businesses within an enterprise.

[0004] In a first aspect, the present invention provides a method for sharing knowledge in a watershed, the method comprising: obtaining multiple business domain information of a target enterprise, multiple watershed business process information corresponding to different business domains, data element information of each watershed business process, and cost information of each watershed business process; sorting the multiple business domain information by a preset sorting method to obtain a first sorting coefficient of each business domain; sorting the multiple watershed business process information corresponding to different business domains by a preset sorting method to obtain a second sorting coefficient of each watershed business process; inputting the second sorting coefficient, the first sorting coefficient, and the data element information corresponding to different watershed business processes into a pre-constructed correlation calculation model for calculation to obtain a business relevance index of each watershed business process; calculating a knowledge evaluation value of the corresponding watershed business process based on the cost information, the first sorting coefficient, the second sorting coefficient, and the business relevance index of each watershed business process; and sharing knowledge of each watershed business process information based on the knowledge evaluation values ​​corresponding to different watershed business processes.

[0005] The watershed knowledge sharing method provided by the present invention ranks multiple business needs and multiple business processes by a preset ranking method to obtain a first ranking coefficient for each business domain and a second ranking coefficient for each business process. The second ranking coefficients of different business processes, the first ranking coefficients of the business domains in which they are located, and data element information are input into a pre-constructed correlation calculation model for calculation to obtain the business relevance index of each watershed business process. The knowledge evaluation value of the corresponding watershed business process is calculated based on the cost information, the first ranking coefficient, the second ranking coefficient, and the business relevance index of each watershed business process; and the knowledge sharing of each watershed business process information is performed based on the knowledge evaluation values ​​corresponding to the different watershed business processes. The method provided by the present invention calculates the knowledge evaluation value of the corresponding watershed business process through the cost information, the first ranking coefficient, the second ranking coefficient and the business relevance index of each business process that is beneficial to the business process in different business domains, thereby realizing the knowledge value evaluation of the relevant information of each business process, and performing subsequent watershed business knowledge sharing based on the knowledge evaluation value. Watershed knowledge sharing is realized based on the value of the watershed business process information, and watershed business knowledge of different values ​​is shared with users who meet the corresponding requirements, thereby solving the problem of knowledge isolation caused by different structures within the organization, and improving the knowledge sharing capabilities of enterprises with different organizational structures but in the same field.

[0006] In an optional implementation, the step of sharing knowledge of each watershed business process information based on the knowledge evaluation values ​​corresponding to the different watershed business processes includes: classifying the different watershed business processes based on the indicative evaluation values ​​of the different watershed business processes to obtain the grade information of each watershed business process, wherein the grade information of each watershed business process is used to characterize the importance of the corresponding watershed business; determining the sharing scope of the corresponding watershed business process based on the grade information of each watershed business process; and sharing knowledge of each watershed business process information based on the sharing scopes corresponding to the different watershed business process information.

[0007] The method provided by this optional implementation manner grades different watershed business processes according to the indicative evaluation value of each watershed business process, and shares knowledge related to the watershed business processes based on the grades divided. The knowledge related to watershed business processes of different grades is restricted to different users for access, thereby building sharing standards for internal enterprise knowledge at different levels and realizing the sharing of watershed knowledge.

[0008] In an optional implementation, the step of calculating the knowledge evaluation value of the corresponding watershed business process based on the cost information, the first ranking coefficient, the second ranking coefficient and the business relevance index of each watershed business process includes: calculating the annual exercise price of the corresponding watershed business process based on the cost information, the first ranking coefficient, the second ranking coefficient and the business relevance index of each watershed business process; calculating the knowledge evaluation value of the corresponding watershed business process based on the annual exercise price of each watershed business process, the pre-acquired risk-free interest rate and the annual revenue increase or decrease information of the target enterprise.

[0009] In an optional embodiment, the step of sorting multiple business domain information by a preset sorting method to obtain a first sorting coefficient for each business domain includes: obtaining multiple first evaluation indicators; scoring each business domain information using the multiple first evaluation indicators to obtain a score for the corresponding business domain information; sorting different business domains based on the score of each business domain information to obtain a first sorting coefficient for each business domain.

[0010] In an optional embodiment, a step of sorting multiple watershed business process information corresponding to different business domains by a preset sorting method to obtain a second sorting coefficient of each watershed business process includes: obtaining multiple second evaluation indicators; using multiple second evaluation indicators to score different watershed business process information to obtain scores of corresponding watershed business process information; sorting different watershed business information based on the scores of each watershed business process information to obtain a second sorting coefficient of each watershed business process.

[0011] In an optional implementation, the pre-constructed relevance calculation model is constructed based on the document topic generation model.

[0012] In a second aspect, the present invention provides a watershed knowledge sharing device, which includes: an acquisition module, which is used to obtain multiple business domain information of a target enterprise, multiple watershed business process information corresponding to different business domains, data element information of each watershed business process, and cost information of each watershed business process; a first sorting module, which is used to sort the multiple business domain information by a preset sorting method to obtain a first sorting coefficient of each business domain; a second sorting module, which is used to sort the multiple watershed business process information corresponding to each business domain by a preset sorting method to obtain a second sorting coefficient corresponding to different watershed business processes in the corresponding business domain; a first calculation module, which is used to input the second sorting coefficient, the first sorting coefficient and the data element information corresponding to different watershed business processes into a pre-constructed correlation calculation model for calculation to obtain a business relevance index of each watershed business process; a second calculation module, which calculates the knowledge evaluation value of the corresponding watershed business process based on the cost information, the first sorting coefficient, the second sorting coefficient and the business relevance index of each watershed business process; a sharing module, which is used to share knowledge of each watershed business process information based on the knowledge evaluation values ​​corresponding to different watershed business processes.

[0013] In a third aspect, the present invention provides a computer device, comprising: a memory and a processor, the memory and the processor are communicatively connected to each other, the memory stores computer instructions, and the processor executes the watershed knowledge sharing method of the first aspect or any corresponding embodiment thereof by executing the computer instructions.

[0014] In a fourth aspect, the present invention provides a computer-readable storage medium having computer instructions stored thereon, the computer instructions being used to enable a computer to execute the watershed knowledge sharing method of the first aspect or any corresponding embodiment thereof.

[0015] In a fifth aspect, the present invention provides a computer program product, comprising computer instructions for causing a computer to execute the watershed knowledge sharing method of the first aspect or any corresponding embodiment thereof. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the specific implementation methods of the present invention or the technical solutions in the prior art, the drawings required for use in the specific implementation methods or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some implementation methods of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0017] Figure 1 is a schematic flow chart of a watershed knowledge sharing method according to an embodiment of the present invention;

[0018] Figure 2 is a flow chart of another watershed knowledge sharing method according to an embodiment of the present invention;

[0019] Figure 3 is a flow chart of another watershed knowledge sharing method according to an embodiment of the present invention;

[0020] Figure 4 is a structural block diagram of a watershed knowledge sharing device according to an embodiment of the present invention;

[0021] Figure 5 It is a schematic diagram of the hardware structure of a computer device according to an embodiment of the present invention. DETAILED DESCRIPTION

[0022] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of the present invention.

[0023] In related technologies, since the definition of knowledge is different for each enterprise and will be unique as the nature and business of the enterprise change, the direct use of general knowledge management and sharing tools can only organize and store the basin business knowledge in a certain form within the enterprise, and cannot completely solve the knowledge definition and intercommunication problems between different organizational structures and different businesses within the existing enterprise. In practice, there is still a lot of knowledge about different basin businesses that needs to be obtained through manual approval and communication, resulting in low efficiency in sharing basin business knowledge.

[0024] In view of this, a watershed knowledge sharing method provided in an embodiment of the present application can be applied to a server to realize watershed knowledge sharing. The watershed knowledge sharing method provided in an embodiment of the present application calculates the knowledge evaluation value of the corresponding watershed business process through the cost information, the first ranking coefficient, the second ranking coefficient and the business relevance index of each business process that is beneficial to the business process in different business domains, realizes the knowledge value evaluation of the relevant information of each business process, and performs subsequent watershed business knowledge sharing based on the knowledge evaluation value, realizes watershed knowledge sharing based on the value of watershed business process information, and shares watershed business knowledge of different values ​​with users who meet the corresponding requirements, solves the problem of knowledge isolation caused by different structures within the organization, and improves the knowledge sharing ability of enterprises with different organizational structures but in the same field.

[0025] According to an embodiment of the present invention, an embodiment of a watershed knowledge sharing method is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0026] In this embodiment, a watershed knowledge sharing method is provided, which can be used for the above-mentioned server. Figure 1 is a flow chart of a watershed knowledge sharing method according to an embodiment of the present invention. Figure 1 As shown, the process includes the following steps:

[0027] Step S101, obtaining information on multiple business domains of the target enterprise, information on multiple watershed business processes corresponding to different business domains, data element information on each watershed business process, and cost information on each watershed business process.

[0028] Exemplarily, the target enterprise may be an enterprise that needs to share watershed knowledge, and the business domain information is used to characterize the scope information of the business functions of the watershed. A business domain contains multiple business processes, and a business process is a series of activities completed by different people to achieve a specific value goal. In the application embodiment, different business domains correspond to different organizational structures in the target enterprise, and the different business processes of each business domain are business processes within the corresponding organizational structure. The data element information of each watershed business process may include, but is not limited to, the data information required for the key processes in the corresponding business process.

[0029] Step S102: sorting the plurality of service domain information by a preset sorting method to obtain a first sorting coefficient of each service domain.

[0030] Exemplarily, the preset sorting method is a comprehensive factor fuzzy evaluation method. In the embodiment of the present application, based on the comprehensive factor fuzzy evaluation method and the preset evaluation indicators, multiple business domain information is sorted according to importance to obtain a first sorting coefficient P for each business domain. The first sorting coefficient is used to characterize the importance of the business domain.

[0031] Step S103: sorting the multiple watershed business process information corresponding to different business domains respectively by a preset sorting method to obtain a second sorting coefficient of each watershed business process.

[0032] Exemplarily, in an embodiment of the present application, based on a comprehensive factor fuzzy evaluation method and preset evaluation indicators, multiple business process information is sorted according to importance to obtain a second ranking coefficient B for each business process, and the second ranking coefficient is used to characterize the importance of the business process.

[0033] Step S104, inputting the second ranking coefficient, the first ranking coefficient and the data element information respectively corresponding to the business processes of different watersheds into a pre-built correlation calculation model for calculation, and obtaining the business correlation index of each watershed business process.

[0034] Exemplarily, the pre-built relevance calculation model is constructed based on the document topic generation model (Latent Dirichlet allocation, LDA). The LDA model, also known as latent Dirichlet allocation, is an unsupervised machine learning technology used to identify potential subject word information in a document set. In the embodiment of the present application, the business process can be regarded as an event, and the relevance of the business event is converted into the construction of an event chain, and then converted into a causal relationship between events. Next, the LDA model is used to calculate the event similarity to obtain the relationship between the businesses. The LDA model can be constructed by the following steps:

[0035] 1) Data preprocessing: Import necessary libraries, such as numpy, pandas, jieba, and gensim. Load the data set (that is, all business files related to watershed information in the organization, such as official documents, project materials, etc.) and extract the text content. Perform preprocessing operations such as word segmentation, removal of stop words and punctuation, and removal of numbers on the text.

[0036] 2) Build a bag of words model: Use the corpora module in the gensim library to create a dictionary and corpus and convert the text into a bag of words model.

[0037] 3) Train the LDA model: Use the models module in the gensim library to train the LDA model, specify the number of topics num_topics, create a model instance through the LdaModel class, and pass in parameters such as the corpus and dictionary.

[0038] 4) Topic representation: Using the trained LDA model, a topic distribution is generated for each document, that is, the probability distribution of each document on different topics.

[0039] 5) Calculate document similarity: Convert the document into an LDA topic vector, and then use methods such as cosine similarity to calculate the similarity between two documents. Define the function get_lda_vector to convert the document into an LDA topic vector, and define the function cosine_similarity to calculate the cosine similarity between two documents.

[0040] 6) Result output and visualization: Output the top N keywords of each topic to understand the meaning of each topic.

[0041] 7) Evaluate model performance: Use perplexity to measure the predictive power of the LDA model on the data, and help select the number of topics with the strongest model predictive power. Use consistency evaluation indicators (such as u_mass or c_v) to evaluate the quality of the topic model.

[0042] Step S105 , calculating the knowledge evaluation value of the corresponding watershed business process based on the cost information, the first ranking coefficient, the second ranking coefficient and the business relevance index of each watershed business process.

[0043] Exemplarily, in an embodiment of the present application, the knowledge evaluation value of the watershed business process is calculated by a comprehensive pricing method based on the cost information, the first ranking coefficient, the second ranking coefficient, and the business relevance index of each watershed business process.

[0044] Step S106: knowledge sharing of the business process information of each watershed is performed based on the knowledge evaluation values ​​corresponding to the business processes of different watersheds.

[0045] Illustratively, in an embodiment of the present application, the access rights and usage rules of the watershed business knowledge corresponding to different business processes are determined by the knowledge evaluation values ​​of different business processes, thereby realizing watershed knowledge sharing.

[0046] The watershed knowledge sharing method provided in this embodiment calculates the knowledge evaluation value of the corresponding watershed business process through the cost information, the first ranking coefficient, the second ranking coefficient and the business relevance index of each business process that is beneficial to the business process in different business domains, thereby realizing the knowledge value evaluation of the relevant information of each business process, and performing subsequent watershed business knowledge sharing based on the knowledge evaluation value. Watershed knowledge sharing is realized based on the value of the watershed business process information, and watershed business knowledge of different values ​​is shared with users who meet the corresponding requirements, thereby solving the problem of knowledge isolation caused by different structures within the organization, and improving the knowledge sharing capabilities of enterprises with different organizational structures but in the same field.

[0047] In this embodiment, a watershed knowledge sharing method is provided, which can be used for the above-mentioned server. Figure 2 is a flow chart of a watershed knowledge sharing method according to an embodiment of the present invention. Figure 2 As shown, the process includes the following steps:

[0048] Step S201, obtain information on multiple business domains of the target enterprise, information on multiple watershed business processes corresponding to different business domains, data element information on each watershed business process, and cost information on each watershed business process. Figure 1 Step S101 of the illustrated embodiment will not be described in detail here.

[0049] Step S202: sorting the plurality of service domain information by a preset sorting method to obtain a first sorting coefficient of each service domain.

[0050] Specifically, the above step S202 includes:

[0051] Step S2021, obtaining multiple first evaluation indicators.

[0052] Exemplarily, the first evaluation index may include, but is not limited to, resource utilization rate (for example, for a series of water businesses, there is water resource utilization rate; for economic businesses such as shipping, there is comprehensive utilization rate of waterways, etc.), green economic benefits (economic benefits obtained through a series of environmental protection activities such as water pollution control and reasonable planning of immigrant agricultural activities), green social benefits (obtained through a series of environmental protection activities such as an increase in the number of animal and plant species in the basin and protection of endangered species), safety management (such as the occurrence of disasters such as landslides in the basin and the comprehensive management of the situation), and other indicators.

[0053] Step S2022: Scoring each business domain information using a plurality of first evaluation indicators to obtain a score for the corresponding business domain information.

[0054] Exemplarily, in the embodiments of the present application, each business domain information may be scored based on past experience and different evaluation indicators to obtain a scoring result.

[0055] Step S2023: sorting different business domains based on the scores of the business domain information to obtain a first sorting coefficient of each business domain.

[0056] Exemplarily, different business domains are ranked based on the scoring results, and a first ranking coefficient of each business domain is determined based on the ranking results.

[0057] Step S203: sorting the plurality of watershed business process information corresponding to different business domains respectively by a preset sorting method to obtain a second sorting coefficient of each watershed business process.

[0058] Specifically, the above step S203 includes:

[0059] Step S2031, obtaining multiple second evaluation indicators.

[0060] Exemplarily, the second evaluation indicator is an indicator that can evaluate the importance of the business process. The embodiment of the present application does not limit the specific content of the second evaluation indicator, and those skilled in the art can determine it according to needs.

[0061] Step S2032: Use multiple second evaluation indicators to score the business process information of different watersheds to obtain scores for the business process information of the corresponding watersheds.

[0062] Illustratively, in an embodiment of the present application, each watershed business process can be scored based on past experience and different evaluation indicators to obtain a scoring result.

[0063] Step S2033: sorting the business information of different watersheds based on the scores of the business process information of each watershed, and obtaining a second sorting coefficient of the business process of each watershed.

[0064] Exemplarily, different basin business processes are ranked based on the scoring results, and the second ranking coefficient of each basin business process is determined based on the ranking results. The present application embodiment does not limit the method for determining the ranking coefficient, and those skilled in the art can determine it according to needs.

[0065] Step S204: Input the second ranking coefficient, the first ranking coefficient and the data element information corresponding to the business processes of different watersheds into the pre-built correlation calculation model for calculation to obtain the business correlation index of the business processes of each watershed. Figure 1 Step S104 of the illustrated embodiment will not be described in detail here.

[0066] Step S205: Calculate the knowledge evaluation value of the corresponding watershed business process based on the cost information, the first ranking coefficient, the second ranking coefficient and the business relevance index of each watershed business process. Figure 1 Step S105 of the illustrated embodiment will not be described in detail here.

[0067] Step S206: share knowledge of each watershed business process information based on the knowledge evaluation values ​​corresponding to the business processes in different watersheds. Figure 1 Step S106 of the illustrated embodiment will not be described in detail here.

[0068] In this embodiment, a watershed knowledge sharing method is provided, which can be used for the above-mentioned server. Figure 3 is a flow chart of a watershed knowledge sharing method according to an embodiment of the present invention. Figure 3 As shown, the process includes the following steps:

[0069] Step S301, obtain information on multiple business domains of the target enterprise, information on multiple watershed business processes corresponding to different business domains, data element information on each watershed business process, and cost information on each watershed business process. Figure 1 Step S201 of the illustrated embodiment will not be described in detail here.

[0070] Step S302: sort the information of multiple business domains by a preset sorting method to obtain a first sorting coefficient of each business domain. Figure 1 Step S202 of the illustrated embodiment will not be described in detail here.

[0071] Step S303: sorting the plurality of watershed business process information corresponding to different business domains respectively by a preset sorting method to obtain a second sorting coefficient of each watershed business process.

[0072] Step S304: Input the second ranking coefficient, the first ranking coefficient and the data element information corresponding to the business processes of different watersheds into the pre-built correlation calculation model for calculation to obtain the business correlation index of the business processes of each watershed. Figure 1 Step S204 of the illustrated embodiment will not be described in detail here.

[0073] Step S305 , calculating the knowledge evaluation value of the corresponding watershed business process based on the cost information, the first ranking coefficient, the second ranking coefficient and the business relevance index of each watershed business process.

[0074] Specifically, the above step S305 includes:

[0075] Step S3051, based on the cost information of each watershed business process, the first ranking coefficient, the second ranking coefficient, and the business relevance index, calculate the annual exercise price of the corresponding watershed business process.

[0076] For example, in the embodiment of the present application, the annual exercise price can be determined by the following formula:

[0077] X=P×B×I×S 0

[0078] Among them, X is the annual exercise price of business process knowledge, P is the first ranking coefficient, B is the second ranking coefficient, I is the business relevance index, S 0 is the cost information of the corresponding business process. In the embodiment of the present application, the cost of the business process includes development cost and maintenance cost, the development cost is the manpower cost invested in the development of the business, and the maintenance cost is the manpower cost invested in the maintenance of the business.

[0079] Step S3052, calculate the knowledge evaluation value of the corresponding watershed business process based on the annual exercise price of each watershed business process, the pre-acquired risk-free interest rate and the annual revenue increase or decrease information of the target enterprise.

[0080] Exemplarily, in the embodiment of the present application, the knowledge evaluation value of the watershed business process can be calculated by the following formula:

[0081]

[0082] in, The knowledge evaluation value of the watershed business process, is the cumulative distribution function of the standard normal distribution, and is an intermediate variable. and Determined by the following formula:

[0083]

[0084]

[0085] in, is the pre-acquired risk-free rate, This is the target company’s annual revenue increase or decrease information. The meanings of other variables will not be repeated here.

[0086] Step S306: knowledge sharing of the business process information of each watershed is performed based on the knowledge evaluation values ​​corresponding to the business processes of different watersheds.

[0087] Specifically, the above step S306 includes:

[0088] Step S3061, classify different watershed business processes based on the indicated evaluation value of each watershed business process to obtain the level information of each watershed business process, and the level information of each watershed business process is used to characterize the importance of the corresponding watershed business.

[0089] For example, in the embodiment of the present application, different basin business processes are graded based on the indicated evaluation value of each basin business process. The classification rule is: if V ≥ 0.7, the basin business knowledge corresponding to the business process is core knowledge; if 0.45 ≤ V < 0.7, the basin business knowledge corresponding to the business process is important knowledge; if V < 0.45, the basin business knowledge corresponding to the business process is general knowledge.

[0090] Step S3062: Determine the sharing scope of the corresponding watershed business process based on the level information of each watershed business process.

[0091] Exemplarily, in the embodiment of the present application, the sharing scope of business processes in different watersheds is characterized by the knowledge flow boundary K, and the sharing scope of different knowledge is recorded by the knowledge boundary form K. Specifically, a private chain for knowledge rights confirmation is built on the company's existing network to record all knowledge transfers within the company; the knowledge is encrypted before being uploaded to the chain to ensure the privacy and security of the knowledge. Only parties with the correct key can decrypt and access the knowledge; smart contracts are written to manage the access rights and usage rules of knowledge. Smart contracts can automatically execute contract terms to ensure that knowledge is used and traded in accordance with preset rules; the traceability of the blockchain is used to record the creation, access and transaction history of knowledge to obtain the knowledge boundary form K.

[0092] Step S3063: knowledge sharing of each watershed business process information is performed based on the sharing scopes corresponding to the different watershed business process information.

[0093] Exemplarily, in an embodiment of the present application, when sharing knowledge related to the watershed business, for general knowledge, everyone has a general knowledge access key, everyone is a general knowledge user, and Form K is updated; for important knowledge, users belonging to the business domain or to the business where the business relevance index I of the knowledge is greater than or equal to 0.5 all have an initial important knowledge access key, these users are important knowledge users, Form K is updated, and other users need to apply for access; for core knowledge, only users belonging to the business domain are allowed to have a core knowledge access key, these users are core knowledge users, Form K is updated, and other users need to apply for access.

[0094] In this embodiment, a watershed knowledge sharing device is also provided, which is used to implement the above-mentioned embodiments and preferred implementation modes, and the descriptions that have been made will not be repeated. As used below, the term "module" can implement a combination of software and / or hardware of a predetermined function. Although the devices described in the following embodiments are preferably implemented in software, the implementation of hardware, or a combination of software and hardware, is also possible and conceivable.

[0095] This embodiment provides a watershed knowledge sharing device, such as Figure 4 As shown, including:

[0096] The acquisition module 401 is used to acquire information of multiple business domains of the target enterprise, information of multiple watershed business processes corresponding to different business domains, data element information of each watershed business process, and cost information of each watershed business process;

[0097] A first sorting module 402, configured to sort the plurality of business domain information by a preset sorting method to obtain a first sorting coefficient of each business domain;

[0098] The second sorting module 403 is used to sort the multiple flow-domain business process information corresponding to each business domain by a preset sorting method to obtain second sorting coefficients corresponding to different flow-domain business processes in the corresponding business domain;

[0099] The first calculation module 404 is used to input the second ranking coefficient, the first ranking coefficient and the data element information corresponding to the business processes of different watersheds into a pre-built correlation calculation model for calculation, so as to obtain the business correlation index of the business processes of each watershed;

[0100] The second calculation module 405 calculates the knowledge evaluation value of the corresponding watershed business process based on the cost information of each watershed business process, the first ranking coefficient, the second ranking coefficient and the business relevance index;

[0101] The sharing module 406 is used to share the knowledge of the business process information of each watershed based on the knowledge evaluation values ​​corresponding to the business processes of different watersheds.

[0102] In some optional implementations, the sharing module 406 includes:

[0103] A classification submodule is used to classify different basin business processes based on the indicated evaluation value of each basin business process, and obtain the level information of each basin business process. The level information of each basin business process is used to characterize the importance of the corresponding basin business;

[0104] The first determination submodule is used to determine the sharing scope of the corresponding watershed business process based on the level information of each watershed business process;

[0105] The sharing submodule is used to share knowledge of the business process information of each watershed based on the sharing scope corresponding to the business process information of different watersheds.

[0106] In some optional implementations, the second calculation module 405 includes:

[0107] The first calculation submodule is used to calculate the annual exercise price of the corresponding watershed business process based on the cost information of each watershed business process, the first ranking coefficient, the second ranking coefficient, and the business relevance index;

[0108] The second calculation submodule is used to calculate the knowledge evaluation value of the corresponding watershed business process based on the annual exercise price of each watershed business process, the pre-acquired risk-free interest rate and the annual revenue increase or decrease information of the target enterprise.

[0109] In some optional implementations, the first sorting module 402 includes:

[0110] A first acquisition submodule, used to acquire a plurality of first evaluation indicators;

[0111] A first scoring submodule is used to score each business domain information using a plurality of first evaluation indicators to obtain a score for the corresponding business domain information;

[0112] The first sorting submodule is used to sort different business domains based on the scores of the business domain information to obtain a first sorting coefficient of each business domain.

[0113] In some optional implementations, the second sorting module 403 includes:

[0114] A second acquisition submodule, used to acquire multiple second evaluation indicators;

[0115] The second scoring submodule is used to score the business process information of different watersheds using multiple second evaluation indicators to obtain scores for the business process information of corresponding watersheds;

[0116] The second sorting submodule is used to sort the business information of different watersheds based on the score of the business process information of each watershed, and obtain the second sorting coefficient of the business process of each watershed.

[0117] In some optional implementations, the pre-constructed relevance calculation model is constructed based on the document topic generation model.

[0118] The further functional description of each of the above modules and units is the same as that of the above corresponding embodiments and will not be repeated here.

[0119] The watershed knowledge sharing device in this embodiment is presented in the form of a functional unit, where the unit refers to an ASIC (Application Specific Integrated Circuit) circuit, a processor and memory that executes one or more software or fixed programs, and / or other devices that can provide the above functions.

[0120] The embodiment of the present invention also provides a computer device having the above Figure 4 The watershed knowledge sharing device shown.

[0121] See also Figure 5 , Figure 5 is a schematic diagram of the structure of a computer device provided by an optional embodiment of the present invention, such as Figure 5 As shown, the computer device includes: one or more processors 10, a memory 20, and interfaces for connecting various components, including high-speed interfaces and low-speed interfaces. Various components are connected to each other using different buses for communication, and can be installed on a common mainboard or installed in other ways as needed. The processor can process instructions executed in the computer device, including instructions stored in or on the memory to display the graphical information of the GUI on an external input / output device (such as a display device coupled to the interface). In some optional embodiments, if necessary, multiple processors and / or multiple buses can be used together with multiple memories. Similarly, multiple computer devices can be connected, and each device provides some necessary operations (for example, as a server array, a group of blade servers, or a multi-processor system). Figure 5 A processor 10 is taken as an example.

[0122] The processor 10 may be a central processing unit, a network processor or a combination thereof. The processor 10 may further include a hardware chip. The hardware chip may be a dedicated integrated circuit, a programmable logic device or a combination thereof. The programmable logic device may be a complex programmable logic device, a field programmable gate array, a general purpose array logic or any combination thereof.

[0123] The memory 20 stores instructions executable by at least one processor 10, so that the at least one processor 10 executes the method shown in the above embodiment.

[0124] The memory 20 may include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application required for at least one function; the data storage area may store data created according to the use of the computer device, etc. In addition, the memory 20 may include a high-speed random access memory, and may also include a non-transient memory, such as at least one disk storage device, a flash memory device, or other non-transient solid-state storage device. In some optional embodiments, the memory 20 may optionally include a memory remotely arranged relative to the processor 10, and these remote memories may be connected to the computer device via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0125] The memory 20 may include a volatile memory, such as a random access memory; the memory may also include a non-volatile memory, such as a flash memory, a hard disk or a solid state drive; the memory 20 may also include a combination of the above types of memory.

[0126] The computer device further comprises a communication interface 30 for the computer device to communicate with other devices or a communication network.

[0127] The embodiment of the present invention also provides a computer-readable storage medium. The method according to the embodiment of the present invention can be implemented in hardware, firmware, or can be implemented as a computer code that can be recorded in a storage medium, or can be implemented as a computer code that is originally stored in a remote storage medium or a non-temporary machine-readable storage medium and will be stored in a local storage medium through a network download, so that the method described herein can be stored in such software processing on a storage medium using a general-purpose computer, a dedicated processor, or programmable or dedicated hardware. Among them, the storage medium can be a magnetic disk, an optical disk, a read-only storage memory, a random access memory, a flash memory, a hard disk or a solid-state hard disk, etc.; further, the storage medium can also include a combination of the above types of memories. It can be understood that a computer, a processor, a microprocessor controller, or programmable hardware includes a storage component that can store or receive software or computer code. When the software or computer code is accessed and executed by a computer, a processor, or hardware, the method shown in the above embodiment is implemented.

[0128] A part of the present invention may be applied as a computer program product, such as a computer program instruction, which, when executed by a computer, can call or provide the method and / or technical solution according to the present invention through the operation of the computer. Those skilled in the art should understand that the existence of the computer program instruction in a computer-readable medium includes, but is not limited to, a source file, an executable file, an installation package file, etc., and accordingly, the way in which the computer program instruction is executed by the computer includes, but is not limited to: the computer directly executes the instruction, or the computer compiles the instruction and then executes the corresponding compiled program, or the computer reads and executes the instruction, or the computer reads and installs the instruction and then executes the corresponding installed program. Here, the computer-readable medium may be any available computer-readable storage medium or communication medium accessible to the computer.

[0129] Although the embodiments of the present invention have been described in conjunction with the accompanying drawings, those skilled in the art may make various modifications and variations without departing from the spirit and scope of the present invention, and such modifications and variations are all within the scope defined by the appended claims.

Claims

1. A watershed knowledge sharing method, characterized in that: The method comprises: Obtain information on multiple business domains of the target enterprise, information on multiple river basin business processes corresponding to different business domains, data element information on each river basin business process, and cost information on each river basin business process; Sorting the plurality of business domain information by a preset sorting method to obtain a first sorting coefficient of each business domain; Sorting the multiple watershed business process information corresponding to different business domains respectively by a preset sorting method to obtain a second sorting coefficient of each watershed business process; The second ranking coefficient, the first ranking coefficient and the data element information corresponding to the business processes of different watersheds are input into a pre-built correlation calculation model for calculation to obtain the business correlation index of the business processes of each watershed; Calculate the knowledge evaluation value of the corresponding watershed business process based on the cost information, the first ranking coefficient, the second ranking coefficient and the business relevance index of each watershed business process; Based on the knowledge evaluation values ​​corresponding to the business processes in different watersheds, the business process information of each watershed is shared.

2. The method according to claim 1, characterized in that The step of sharing knowledge of the business process information of each watershed based on the knowledge evaluation values ​​corresponding to the business processes of different watersheds respectively includes: Based on the indicated evaluation value of each watershed business process, the business processes of different watersheds are graded to obtain the grade information of the business processes of each watershed, wherein the grade information of the business processes of each watershed is used to characterize the importance of the corresponding watershed business; Determine the sharing scope of the business process of the corresponding watershed based on the level information of the business process of each watershed; Knowledge sharing of business process information of each river basin is carried out based on the sharing scope corresponding to the business process information of different river basins.

3. The method according to claim 1, characterized in that The step of calculating the knowledge evaluation value of the corresponding watershed business process based on the cost information of each watershed business process, the first ranking coefficient, the second ranking coefficient, and the business relevance index includes: Calculate the annual exercise price of the corresponding basin business process based on the cost information, the first ranking coefficient, the second ranking coefficient, and the business relevance index of each basin business process; The knowledge evaluation value of the corresponding watershed business process is calculated based on the annual exercise price of each watershed business process, the pre-acquired risk-free interest rate and the annual revenue increase or decrease information of the target enterprise.

4. The method according to claim 1, characterized in that: The step of sorting the plurality of business domain information by a preset sorting method to obtain a first sorting coefficient of each business domain includes: Obtaining a plurality of first evaluation indicators; Scoring each business domain information using the plurality of first evaluation indicators to obtain a score for the corresponding business domain information; Different business domains are ranked based on the scores of the business domain information to obtain a first ranking coefficient of each business domain.

5. The method according to claim 1, characterized in that The step of sorting the multiple watershed business process information corresponding to different business domains respectively by a preset sorting method to obtain a second sorting coefficient of each watershed business process includes: Obtaining multiple second evaluation indicators; Scoring the business process information of different watersheds by using the plurality of second evaluation indicators to obtain scores of the business process information of corresponding watersheds; The business information of different watersheds is sorted based on the scores of the business process information of each watershed, and the second sorting coefficient of the business process of each watershed is obtained.

6. The method according to any one of claims 1 to 5, characterized in that: The pre-constructed relevance calculation model is constructed based on the document topic generation model.

7. A watershed knowledge sharing device, characterized in that: The device comprises: An acquisition module is used to acquire information on multiple business domains of a target enterprise, information on multiple watershed business processes corresponding to different business domains, data element information on the business processes of each watershed, and cost information on the business processes of each watershed; A first sorting module, used to sort the multiple business domain information by a preset sorting method to obtain a first sorting coefficient of each business domain; A second sorting module is used to sort the multiple watershed business process information corresponding to each business domain by a preset sorting method to obtain second sorting coefficients corresponding to different watershed business processes in the corresponding business domain; A first calculation module is used to input the second ranking coefficient, the first ranking coefficient and the data element information corresponding to the business processes of different watersheds into a pre-built correlation calculation model for calculation, so as to obtain the business correlation index of the business processes of each watershed; The second calculation module calculates the knowledge evaluation value of the corresponding watershed business process based on the cost information of each watershed business process, the first ranking coefficient, the second ranking coefficient and the business relevance index; The sharing module is used to share the knowledge of the business process information of each watershed based on the knowledge evaluation values ​​corresponding to the business processes of different watersheds.

8. A computer device, characterized in that: include: A memory and a processor, wherein the memory and the processor are communicatively connected to each other, the memory stores computer instructions, and the processor executes the watershed knowledge sharing method according to any one of claims 1 to 6 by executing the computer instructions.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a computer to execute the watershed knowledge sharing method according to any one of claims 1 to 6.

10. A computer program product, characterized in that The method comprises computer instructions, wherein the computer instructions are used to cause a computer to execute the watershed knowledge sharing method according to any one of claims 1 to 6.

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