Fairness mapping, detection and adjustment methods for form design and filling in DIKW

Abstract

The present invention provides a fairness mapping, detection and adjustment method for form design and filling facing DIKW, comprising the steps of: constructing DIKWP maps of a tabulator and different form fillers, and analyzing the DIKWP content of a form that simultaneously associates the tabulator and different form fillers; performing content and structure matching analysis based on the DIKWP maps of the tabulator and the form filler to obtain content differences and structural differences; and performing fairness and impartiality adjustment on the DIKWP content of the form based on the content differences and structural differences of the DIKWP maps of the indicator and the form filler. Thus, a fair and impartial form that meets the intention of the tabulator and faces different form fillers is obtained.

Description

Technical Field

[0001] The present invention relates to the technical field of form design and filling, and in particular to a fairness mapping, detection and adjustment method for form design and filling oriented to DIKW. Background Art

[0002] Today's society has entered the era of data information. Whether in reality or on the Internet, people often need to fill out various forms. The forms face different groups of people, involving personal gains and losses and privacy. To some extent, there is a game between the form maker and the form filler. Therefore, the fairness and equity of the form for different groups of people need to be fully considered. It is necessary to ensure that all types of form fillers can obtain similar form content and that the production of the form meets the intention of the form maker. Traditional form design does not fully design the form according to the intention of the form maker, and basically ignores the fairness and equity that the form should have, which needs to be improved. Summary of the invention

[0003] In view of this, the purpose of the present invention is to provide a fairness mapping, detection and adjustment method for DIKW-oriented form design and filling, and to analyze the type resources of different groups of people based on DIKW graph technology to achieve fairness and impartiality of the form to different groups of people.

[0004] A fairness mapping, detection and adjustment method for form design and filling in DIKW includes the following steps:

[0005] S101, constructing DIKWP maps of the tabulator and different form fillers, and analyzing DIKWP contents of the tables simultaneously associated with the tabulator and different form fillers;

[0006] S102, performing content and structure matching analysis based on the DIKWP graphs of the form maker and the form filler to obtain content differences and structural differences;

[0007] S103. Based on the content and structural differences between the DIKWP maps of the indicator party and the form-filling party, make fair and just adjustments to the DIKWP content of the form.

[0008] Furthermore, the DIKWP graph includes a data graph, an information graph, a knowledge graph and an intent graph, and the DIKWP content includes data content, information content, knowledge content and intent content.

[0009] Furthermore, a content matching analysis is performed based on the DIKWP graphs of the form maker and the form filler to obtain content differences, which specifically includes the following steps:

[0010] S201, inputting the DIKWP spectrum of the tabulator and the DIKWP spectrum of different form fillers;

[0011] S202, placing the node contents in the data graph, information graph and knowledge graph of the table maker's data into the data graph, information graph and knowledge graph of each form filler according to their types for matching;

[0012] S203, performing difference analysis based on the matching results of the table maker's node content in the DIKWP graphs of different table fillers.

[0013] Furthermore, the fair adjustment and impartial adjustment of the DIKWP content of the table specifically include: data fairness adjustment, information fairness adjustment, knowledge fairness adjustment, data fairness adjustment, information fairness adjustment and knowledge fairness adjustment.

[0014] Furthermore, the fair adjustment of the table content specifically includes: adjusting the content and structure of the table DIKWP map.

[0015] Furthermore, the content adjustment specifically includes the following steps:

[0016] S301, when a node in the DIKWP map of the tabulator can find a matching node in the DIKWP maps of different form-fillers, a difference calculation is performed on the node content, and the calculated new node content is recorded as a node in the DIKWP map of the table, and the node in the DIKWP map of the tabulator is called a target node;

[0017] S302. If a matching node cannot be found in the DIKWP graph of the table caller, the parent node of the target node is returned, and a difference calculation is performed based on the matching result of the parent node. If the target node has no intent node mapped to it in the intent graph of the table maker, only the new content obtained by the difference calculation of the parent node is added to the table DIKWP graph. If the target node has an intent node mapped to it in the intent graph of the table maker, the new content obtained by the difference calculation between the target node and the parent node is added to the table DIKWP graph.

[0018] Furthermore, 7. the structural adjustment specifically comprises the following steps:

[0019] S401, finding nodes with large differences according to the structural differences when the DIKWP graph of the tabulator is matched with the DIKWP graph of the filler;

[0020] S402. Perform local structure segmentation based on nodes with large differences, so that the matching degree of node contents in the local structure is higher, thereby adjusting the structure of the DIKWP graph in the table.

[0021] Furthermore, the fair adjustment of the table content specifically includes the following steps:

[0022] S501, searching the data graphs, information graphs and knowledge graphs of different form fillers respectively, and recording the nodes that have not been matched and compared, and the nodes that have not been matched and compared are called unmatched nodes;

[0023] S502, classifying the unmatched nodes through comparative analysis, and retaining the nodes containing the content of the justice value orientation, wherein the nodes containing the content of the justice value orientation are called value orientation nodes;

[0024] S503. Return the data graph, information graph or knowledge graph of the party filling out the form according to the source of the value orientation node, search for the node in the graph that is closest to the value orientation node and has been adjusted for fairness, and add the node content to the DIKWP graph of the table according to the relationship between the two nodes.

[0025] Furthermore, when constructing the DIKWP graph of the tabulator, the intention content or rule information of the external environment is obtained, converted into information content, knowledge content or intention content, and added to the DIKWP graph of the tabulator.

[0026] Furthermore, when performing content and structure matching analysis based on the DIKWP graphs of the tabulator and the form filler, it is determined whether the node content in the DIKWP graphs of the tabulator and the form filler is within the life cycle, and the node content that is not within the life cycle is discarded.

[0027] Compared with the prior art, the present invention has the following beneficial effects:

[0028] The present invention provides a fairness mapping, detection and adjustment method for DIKW-oriented form design and filling. By constructing DIKWP maps for the form maker and different form fillers, the content differences and structural differences between the DIKWP maps are analyzed, and the fairness and impartiality are expressed and measured by the differences. The DIKW content of the form is adjusted for fairness and impartiality according to the differences between the form maker and different form fillers, so that a fair and impartial form that meets the intention of the form maker and is oriented to different form fillers can be obtained. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only preferred embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0030] Figure 1 It is a schematic diagram of the overall process of a fairness mapping, detection and adjustment method for designing and filling out a DIKW table provided by an embodiment of the present invention.

[0031] Figure 2 It is a schematic diagram of a data spectrum provided by an embodiment of the present invention.

[0032] Figure 3 It is a schematic diagram of an information graph provided by an embodiment of the present invention.

[0033] Figure 4 It is a schematic diagram of the knowledge graph provided by an embodiment of the present invention.

[0034] Figure 5 It is a schematic diagram of the intent map provided by an embodiment of the present invention.

[0035] Figure 6 It is a schematic diagram of the content matching analysis process provided by an embodiment of the present invention.

[0036] Figure 7 It is a schematic diagram of a content adjustment process provided by an embodiment of the present invention.

[0037] Figure 8 It is a schematic diagram of a structural adjustment process provided by an embodiment of the present invention.

[0038] Fig. 9 It is a schematic diagram of the fair adjustment process provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0039] The principles and features of the present invention are described below in conjunction with the accompanying drawings. The enumerated embodiments are only used to explain the present invention and are not used to limit the scope of the present invention.

[0040] Reference Figure 1 This embodiment provides a fairness mapping, detection and adjustment method for table design and filling based on DIKW, and the method includes the following steps:

[0041] S101, constructing DIKWP maps of the tabulator and different form fillers, and analyzing DIKWP contents of the tables that are simultaneously associated with the tabulator and different form fillers.

[0042] The DIKWP graph includes data graph, information graph, knowledge graph and intention graph; the DIKWP content of the form includes data content, information content, knowledge content and intention content. The form that simultaneously associates the form maker and different form fillers is a form designed and produced by the target form maker and oriented to the target form filler.

[0043] The data content is a series of discrete elements, and it is difficult to get the specific meaning without context. Figure 2Taking the company's HR design form for recruiting engineers as an example, the relevant data of recruiting engineers is given to the custom form party. In the data map, there is only a cascade relationship between the two data, and the "recruitment" information is not directly expressed. It appears purely in the form of data to facilitate the analysis of the structure and content differences between the data maps.

[0044] The information content is content with clear meaning, which can be obtained by directly analyzing the personalized type resources of the form maker or the form filler, and more information resources can be obtained by combining data or information with intentions. Figure 3 For example, if a company needs to recruit talents from the society, it can combine the data to recruit engineers from the society. There are relations such as inclusion, cascade and partial order between information.

[0045] The knowledge content is obtained through structured and formalized statistics and deduction of data and information, and can be expressed as the thrust path and probability of data and information. In this embodiment, the knowledge content can be expressed as some common sense and rules followed by the tabulator, which has certain regularity and stability. Figure 4 For example, different salary conditions can be offered to recruiters based on their academic qualifications, and the salary can be increased for recruiters with strong working ability and rich work experience.

[0046] The content of the intention is what the individual wants to do or what result he wants to get. The intention is taken into consideration by combining the intention with the data in the form of information, and the intention is mapped with the relevant data, information and knowledge. Intentions have the relationship of inclusion and cascading. Figure 5 For example, the main intention of HR is to recruit employees. The main intention can be further divided into multiple small intentions, such as the small intention of HR to improve their own performance and complete work requirements, and the small intention of selecting outstanding talents for the company. Based on the small intention of selecting outstanding talents for the company, we can further get the small intention of recruiting fresh graduates in schools and recruiting talents in the society. HR will want to use high salaries to attract outstanding talents.

[0047] S102. Perform content and structure matching analysis based on the DIKWP graphs of the form maker and the form filler to obtain content differences and structural differences.

[0048] The form formulated by the form maker should be fair and just to different form fillers. This embodiment analyzes and matches the content and structure of the form maker and various form fillers based on the DIKWP graph, and uses the difference between the graphs of the two to represent and measure fairness and justness. The DIKWP content of the form is adjusted for fairness and justness based on the results of comparing the differences.

[0049] The content difference is very common in the DIKWP graphs of the form maker and the form filler. The content mainly appears in the form of numerical, character and range types. The content difference is calculated based on the data graph, information graph and knowledge graph, which can be achieved through a string matching algorithm, and content comparison is added to the matching. The difference records are made for the numerical, range and partial order content, such as content similarity, the different parts and positions in the content, etc.

[0050] The structural differences reflect the positions and relationships of the nodes in the data graph, information graph or knowledge graph. Different structures represent differences in important parameters such as node distance, number of branches, cascade partial order relationship and cognitive distance length, which will lead to differences in content and efficiency of the form in the cognition of different form fillers. According to the characteristics of inheritance, inclusion, cascade and partial order in the content of the DIKWP graph, the nodes with relationships in content constitute the local structure in the system, so that the structural differences are mainly reflected in the local structure.

[0051] S103. Based on the content and structural differences between the DIKWP maps of the indicator party and the form-filling party, make fair and just adjustments to the DIKWP content of the form.

[0052] Fairness shows that the DIKWP content shown in the table is slightly different from the DIKWP content of different form fillers. For example, if the difference between the node comparison of the DIKWP graph content of form filler A and the form maker is 40%, and if the difference between the system content of form filler B and the form maker is 70%, then a simple calculation shows that the difference between a and b is 30% (70%-40%), which means that the form filler A receives about 30% more form content than the form filler B. We need to reduce the difference value of the form content received by the two parties, adjust the DIKWP system content of the table, so that both form fillers A and B can obtain the form content to a similar extent, so as to meet the fairness requirements.

[0053] There is a type of difference that cannot be adjusted in fairness. This type of difference may be special data, information or knowledge that the tabulator and a certain type of form filler have, but other types of form fillers do not have. Or it may be purely unique to a certain type of form filler, but the tabulator and other types of form fillers do not have. This type of difference should not be eliminated because there are certain social values ​​or moral considerations in it. For example, society takes care of some special groups in various aspects, and companies pay different salaries for different positions when recruiting. This is fairness. Fairness has obvious value orientation, emphasizes the basic value orientation of society, and is reasonable and legitimate. According to the above differences, the content of the DIKWP form needs to be adjusted for fairness. Different fillers should be distinguished on the basis of fairness. The DIKWP content of different fillers is different. For fairness, it is necessary to make value judgments on the differences reflected in the form by different fillers, retain fair differences, and incorporate them into the form adjustment for fair processing.

[0054] In the process of fair adjustment, it is necessary to evaluate the data, information and knowledge in the system based on the intention of the tabulator. If the intention of the tabulator is mapped to certain data, information or knowledge nodes, it means that the tabulator has intentions on these nodes. Then in the process of adjustment, the adjustment of these nodes should be based on the node content of the tabulator, and its content weight should be high. The node content of these tabulators needs to be reflected to the filler in the DIKWP system of the table so that different fillers can receive it. If the tabulator hopes to attract outstanding talents with high salaries, then this intention has a mapping relationship with the data, information and knowledge related to high salaries in the system. We need to ensure that these high-salary-related data, information and knowledge can be shown to all types of fillers in the adjusted table DIKWP content, and can attract them under the different differences in the expected salaries of different fillers. In the process of fair adjustment, it is necessary to focus on the difference content of various fillers. In this embodiment, the difference content with value orientation in the filler system is added to the table DIKWP system, and the table is treated fairly by retaining the content with large personalized differences.

[0055] Exemplarily, the fair adjustment and impartial adjustment of the DIKWP content of the table specifically include: data fair adjustment, information fair adjustment, knowledge fair adjustment, data fair adjustment, information fair adjustment and knowledge fair adjustment.

[0056] The purpose of data fairness adjustment is to make the data content of the form accepted by different form fillers smaller or even the same. The data in the form is the content that the form filler can directly obtain, without analysis and reasoning, but it is recognizable and understandable to the form filler. For example, if a form is made in English, the table item names and options are all in English. Form filler A has learned English, and he obtains 60% of the data in the form, that is, 60% of the data is recognizable and understandable to him. For form filler B who has not learned English, he can only obtain 0% of the data content from the form. Because all the table item names and options can be seen directly by him, but they are not recognizable and incomprehensible. According to the intention of the form maker, the local data structure or overall data structure of the form maker and the form filler are compared and matched. For example, in a given recruitment form, the form maker hopes that the form will recruit both fresh graduates and social personnel. The form should enable both applicants to obtain the form data content and fill it out.

[0057] The purpose of information fairness adjustment is to minimize the differences in the information content received by different form fillers. Information is mainly a combination of data and intention. The nodes in the information system and the nodes in the data system have a one-to-one, one-to-many, many-to-many mapping relationship. It is difficult for different form fillers to receive completely consistent form information because the DIKWP maps of the fillers are different.

[0058] Based on the intention of the form maker, the calculation of information fairness is similar to data fairness. The partial information or overall information structure of the form maker and the form filler is compared and matched, the differences are found and recorded, and the content in the form information system is adjusted based on the difference records. Continuing with the above example, if the form maker hopes to recruit excellent personnel with high salaries, the salaries expected by fresh graduates and social personnel are different. The salary range given in the form needs to make fresh graduates and social personnel feel the high salary.

[0059] In addition, the differences in the data nodes mapped by the information nodes should be evaluated together to conduct a joint review of the information and data. If the mapped data nodes have been matched in data fairness and have been adjusted for fairness, the table information content is adjusted directly based on the information difference record. If the mapped data nodes are not matched in data fairness, that is, the data content is not in the same local data structure, the data content is compared and matched, and the differences are recorded. For example, the personal identity information (identity) structure in the data system of the form maker includes height and weight, while the identity information in the data structure of the form filler A does not include height and weight, and height and weight are in the health status structure in the data system of the form filler. In this case, the table information and data content are adjusted based on the information node differences and data node differences.

[0060] The purpose of knowledge fairness adjustment is to minimize the external differences in the knowledge content of the form that different form fillers can accept. Knowledge is obtained from data and information through structured calculation and reasoning, so there is a mapping relationship between the nodes in the knowledge graph and the nodes in the data and information graph. According to the data and information nodes mapped by knowledge, the fairness of knowledge is not only tested on the knowledge itself, but also requires a joint review of the data and information nodes to which it is mapped. For example, for the intention of the form maker to "recruit excellent employees with high salaries", given the knowledge K of the form maker t "Strong ability represents excellence, and excellence requires high salary", and social personnel have the knowledge that "rich work experience represents strong work ability, and strong work ability requires higher salary". The knowledge of undergraduate graduates is "excellent grades represent strong ability, and strong ability requires higher salary". And the knowledge of doctoral graduates may be "high degree represents strong ability, and strong ability requires higher salary". There are differences in the knowledge of the form maker and the three parties filling out the form. At the same time, high salary corresponds to rich work experience, excellent grades and high degree in the knowledge graph of the three parties, which means that there are also differences in the data and information nodes of the knowledge mapping of the three parties. The knowledge graph of the table needs to reflect fairness to the three parties filling out the form, so the difference is calculated and the knowledge of the three parties is added to the table knowledge graph. In this way, the table knowledge "rich work experience, excellent grades, and high degree can all be given high salary", and the degree of knowledge content received by the three parties is similar.

[0061] The knowledge equity adjustment first directly compares and matches the knowledge between the form maker and the different form fillers, calculates the differences, then adds the data node differences and information node differences of the knowledge node mapping, performs calculations, and decides on the adjustment of the form knowledge nodes based on the comprehensive differences.

[0062] As a preferred example, refer to Figure 6 , based on the DIKWP graphs of the form maker and the form filler, the content matching analysis is performed to obtain the content differences, which specifically includes the following steps:

[0063] S201. Input the DIKWP map of the table maker and the DIKWP maps of different table fillers.

[0064] S202: Put the node contents in the data graph, information graph and knowledge graph of the tabulator into the data graph, information graph and knowledge graph of each form filler according to the type for matching. That is, match the data content with the data content, match the information content with the information content, and match the knowledge content with the knowledge content.

[0065] S203, performing difference analysis based on the matching results of the table maker's node content in the DIKWP graphs of different table fillers.

[0066] The fair adjustment requires the calculation of the difference between the DIKWP maps of the form maker and the various form fillers. The DIKWP map content of the form is adjusted fairly according to the difference results, so that the form content received by various form fillers is similar. Based on the above embodiment, the fair adjustment of the form content specifically includes: adjusting the content and structure of the DIKWP map of the form.

[0067] Reference Figure 7 , the content adjustment specifically includes the following steps:

[0068] S301. When a node in the DIKWP map of the tabulator can find a matching node in the DIKWP maps of different form-fillers, a difference calculation is performed on the node content, and the calculated new node content is recorded as a node in the DIKWP map of the table. The node in the DIKWP map of the tabulator is called the target node.

[0069] S302. If a matching node cannot be found in the DIKWP graph of the table caller, the parent node of the target node is returned, and a difference calculation is performed based on the matching result of the parent node. If the target node has no intent node mapped to it in the intent graph of the table maker, only the new content obtained by the difference calculation of the parent node is added to the table DIKWP graph. If the target node has an intent node mapped to it in the intent graph of the table maker, the new content obtained by the difference calculation between the target node and the parent node is added to the table DIKWP graph.

[0070] Reference Figure 8 , the structural adjustment specifically includes the following steps:

[0071] S401, finding nodes with large differences based on the structural differences when the DIKWP graph of the table maker is matched with the DIKWP graph of the table filler.

[0072] S402. Perform local structure segmentation based on nodes with large differences, so that the matching degree of node contents in the local structure is higher, thereby adjusting the structure of the DIKWP graph in the table.

[0073] Fairness adjustments specifically include data fairness adjustments, information fairness adjustments and knowledge fairness adjustments.

[0074] The purpose of the data fairness adjustment is to make the form show value-oriented data content that is unique to certain form fillers. If this type of data content exists in the DIKWP maps of both the form maker and the form filler, and the form maker intends to map it, then the data content and structure of the form maker will be the main focus when adjusting the form data map. If this type of data content does not have a mapping relationship with the form maker's intention or does not exist in the DIKWP map of the form maker, then the content and structure of the form filler will be the main focus when adjusting the form data map. For example, when a company is recruiting for undergraduates, masters and doctors, a doctoral degree is a data difference that is unique to both of them. When adjusting the form data map, the doctoral data needs to be retained.

[0075] The purpose of the information fairness adjustment is to make the form information map retain the difference information that is unique to certain form fillers. The nodes in the information map have one-to-one, one-to-many, many-to-many and other mapping relationships with the nodes in the data map. After obtaining the special information nodes possessed by the form filler, it is necessary to analyze the data nodes mapped to them. Since the information node is unique to this type of form filler, the data nodes mapped to it are also likely to be unique to this type of form filler. For example, in the recruitment form, the unique information of a certain type of form filler is "having doctoral research experience". If the data node "Doctor" mapped by this information is also unique to this type of form filler, it is determined whether this data node has been processed by data fairness. If not, this data node will be processed by fairness. If this data node has been processed by fairness or is not unique to this type of form filler, only the information node will be processed.

[0076] The purpose of the knowledge fairness adjustment is to make the table knowledge graph reflect the knowledge content that is unique to certain form fillers and conforms to their value orientation. Knowledge is obtained from data and information through structured calculation and reasoning. Therefore, knowledge fairness is the same as information fairness. In addition to fair processing of the knowledge nodes themselves, it is also necessary to review the information nodes or data nodes mapped to them. If the information nodes and data nodes are unique to such form fillers and have not been fair processed, additional processing is required in this link. For example, when filling out a company leave form, the knowledge of male employees is "you can take sick leave when you are sick." However, in addition to "you can take sick leave when you are sick", female employees also have "you can take maternity leave when you are pregnant." The unique knowledge of female employees must also be reflected in the table knowledge graph, so that male and female employees can be treated fairly.

[0077] As a preferred example, refer to Fig. 9 The fair adjustment of the table content specifically includes the following steps:

[0078] S501. Search the data graphs, information graphs and knowledge graphs of different form-filling parties respectively, and record the nodes that have not been matched and compared. The nodes that have not been matched and compared are called unmatched nodes.

[0079] S502. Classify the unmatched nodes through comparative analysis, and retain the nodes containing the fair value orientation content. The nodes containing the fair value orientation content are called value orientation nodes.

[0080] S503. Return the data graph, information graph or knowledge graph of the party filling out the form according to the source of the value orientation node, search for the node in the graph that is closest to the value orientation node and has been adjusted for fairness, and add the node content to the DIKWP graph of the table according to the relationship between the two nodes.

[0081] As a preferred example, when constructing the DIKWP graph of the tabulator, the intention content or rule information of the external environment is also obtained, converted into information content, knowledge content or intention content, and added to the DIKWP graph of the tabulator.

[0082] When a table is formulated, it is not only influenced by the original intention of the table maker, but also constrained by some rules. The intention mainly comes from the table maker, and some comes from the external environment. For example, in a recruitment table, the table maker wants to recruit talents with a master's degree or above, but in campus recruitment, the school wants to increase the employment rate of undergraduates and requires that recruitment also face undergraduates, otherwise they will not be eligible for campus recruitment. At this time, the content of the table is affected by both the table maker's intention and the intention of the external environment. The intention of the external environment can be part of the table maker's intention map, or part of the table maker's knowledge map.

[0083] Rules also come from the tabulator and the external environment, such as external legal and ethical constraints and industry rules. These rules play a constraining role in constructing the DIKWP map, and are integrated into the map in the form of information, knowledge or relationships within the data. For example, the rule of retirement at the age of 65 can exist in the form of information as "retirement age is 65". Therefore, when designing certain forms, it is necessary to combine the data, information, knowledge, intentions and rules in the DIKWP map of the tabulator and the filler to comprehensively consider the fairness of the form DIKWP content and make adjustments.

[0084] As a preferred example, when performing content and structure matching analysis based on the DIKWP graphs of the tabulator and the form filler, it is determined whether the node content in the DIKWP graphs of the tabulator and the form filler is within the life cycle, and the node content that is not within the life cycle is discarded.

[0085] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A fairness mapping, detection and adjustment method for designing and filling out DIKW tables, characterized in that: The method comprises the following steps: S101, constructing DIKWP maps of the tabulator and different form fillers, and analyzing DIKWP contents of the tables simultaneously associated with the tabulator and different form fillers; S102, performing content and structure matching analysis based on the DIKWP graphs of the form maker and the form filler to obtain content differences and structural differences; S103. Based on the content and structural differences between the DIKWP maps of the indicator party and the form-filling party, make fair and just adjustments to the DIKWP content of the form; The DIKWP graph includes a data graph, an information graph, a knowledge graph and an intent graph, and the DIKWP content includes data content, information content, knowledge content and intent content; Based on the DIKWP graphs of the form maker and the form filler, the content matching analysis is performed to obtain the content differences, which specifically includes the following steps: S201, inputting the DIKWP spectrum of the tabulator and the DIKWP spectrum of different tabulators; S202, placing the node contents in the data graph, information graph and knowledge graph of the table maker's data into the data graph, information graph and knowledge graph of each form filler according to their types for matching; S203, performing difference analysis based on the matching results of the table maker's node content in the DIKWP graphs of different table fillers; The fair adjustment of the table content specifically includes the following steps: S501, searching the data graphs, information graphs and knowledge graphs of different form fillers respectively, and recording the nodes that have not been matched and compared, and the nodes that have not been matched and compared are called unmatched nodes; S502, classifying the unmatched nodes through comparative analysis, and retaining the nodes containing the content of the justice value orientation, wherein the nodes containing the content of the justice value orientation are called value orientation nodes; S503. Return the data graph, information graph or knowledge graph of the party filling out the form according to the source of the value orientation node, search for the node in the graph that is closest to the value orientation node and has been adjusted for fairness, and add the node content to the DIKWP graph of the table according to the relationship between the two nodes.

2. A fairness mapping, detection and adjustment method for table design and filling for DIKW according to claim 1, characterized in that: The fair adjustment and impartial adjustment of the DIKWP content of the table specifically include: data fairness adjustment, information fairness adjustment, knowledge fairness adjustment, data fairness adjustment, information fairness adjustment and knowledge fairness adjustment.

3. A fairness mapping, detection and adjustment method for table design and filling for DIKW according to claim 1, characterized in that: Make fair adjustments to the table content, including: adjust the content and structure of the DIKWP table.

4. A fairness mapping, detection and adjustment method for designing and filling out DIKW forms according to claim 3, characterized in that: The content adjustment specifically includes the following steps: S301, when a node in the DIKWP map of the tabulator can find a matching node in the DIKWP maps of different form-fillers, a difference calculation is performed on the node content, and the calculated new node content is recorded as a node in the DIKWP map of the table, and the node in the DIKWP map of the tabulator is called a target node; S302. If a matching node cannot be found in the DIKWP graph of the table caller, the parent node of the target node is returned, and a difference calculation is performed based on the matching result of the parent node. If the target node has no intent node mapped to it in the intent graph of the table maker, only the new content obtained by the difference calculation of the parent node is added to the table DIKWP graph. If the target node has an intent node mapped to it in the intent graph of the table maker, the new content obtained by the difference calculation between the target node and the parent node is added to the table DIKWP graph.

5. The fairness mapping, detection and adjustment method for designing and filling out DIKW forms according to claim 3 is characterized in that: The structural adjustment specifically includes the following steps: S401, finding nodes with large differences according to the structural differences when the DIKWP graph of the tabulator is matched with the DIKWP graph of the filler; S402. Perform local structure segmentation based on nodes with large differences, so that the matching degree of node contents in the local structure is higher, thereby adjusting the structure of the DIKWP graph in the table.

6. A fairness mapping, detection and adjustment method for designing and filling out DIKW forms according to claim 1, characterized in that: When constructing the DIKWP map of the tabulator, the intention content or rule information of the external environment is obtained, converted into information content, knowledge content or intention content, and added to the DIKWP map of the tabulator.

7. A fairness mapping, detection and adjustment method for designing and filling out DIKW forms according to claim 1, characterized in that: When performing content and structure matching analysis based on the DIKWP graphs of the tabulator and the form filler, it is determined whether the node content in the DIKWP graphs of the tabulator and the form filler is within the life cycle, and the node content that is not within the life cycle is discarded.

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