阅读说明：本技术 意图驱动的适应竞争及合作意向的内容填充系统 (Intent-driven contextualized and collaborative-intent-adapted content-populating system ) 是由 段玉聪 湛楼高 于 2019-10-10 设计创作，主要内容包括：本发明提供一种意图驱动的适应竞争及合作意向的内容填充系统,通过将填充内容转换为一堆规则建模的过程,将填充过程中发生的数据迁移过程转换为以意图驱动的竞争过程,根据意图确定模块、竞争及合作填充模块、常识推理模块、交互模块和价值驱动模块对表中的各个选项进行意图建模然后根据意图对表进行填充。根据所得意图最小化填表人投入的时间、精力和隐私数据,同时解决了因数据不完整、所填选项不确定时现有填表系统不能正常工作的难题。(The invention provides an intention-driven competition and cooperation intention adaptive content filling system, which converts filling content into a process of modeling by a stack of rules, converts a data migration process occurring in the filling process into an intention-driven competition process, performs intention modeling on each option in a table according to an intention determining module, a competition and cooperation filling module, a common sense reasoning module, an interaction module and a value driving module, and then fills the table according to the intention. The time, energy and privacy data input by form filling people are minimized according to the obtained intention, and the problem that the existing form filling system cannot work normally when the data is incomplete and the filled options are uncertain is solved.)

1. An intention-driven competition and cooperative intention adapting content filling system is characterized in that filling content is converted into a pile of rule modeling process, a data migration process occurring in the filling process is converted into an intention-driven competition process, and the specific steps are as follows:

s1: determining the intention of a watchmaker according to the table to be filled;

s2: determining options related to the intention in the form according to the intention of the options, and changing the relative positions of the options in the form;

s3: and finally, determining the value of the substitution filling option according to the rule.

2. The intent-driven competition and intention-based content filling system according to claim 1, wherein step 1 further comprises constructing a data map, an information map and a knowledge map, wherein the data map records options in the form and optional values given by the form, the information map records the sequence of the options in the form, and the knowledge map records the logical relationship between the options; the intention of each option and the intention of the whole table are determined according to the recorded contents of the three-layer map and stored in the data map.

3. Step 2 of the intent-driven competition and collaboration intent adaptive content filling system of claim 1 further comprising analyzing the options in the table through the chartler schema obtained in step 1 to obtain directly related options, wherein the directly related options include the required options and selectable options specified by the chartler, then merging the directly related options with the required options specified by the chartler to obtain the options that need to be filled in the end, and assigning a weight to each option, and obtaining a weight table 1 for each option according to the training, wherein the required options with higher relevance to the intent are also higher in weight, and wherein the required options are lower in weight than the options;

the system obtains a risk value filled by each option by detecting a form filling environment, wherein the detection content includes but is not limited to a network environment, and assigns a weight to obtain a weight table 2 of each option, wherein the weight of the option with higher risk is also higher, and the table 1 and the table 2 are subjected to sum operation to obtain a final weight value of each option, and the options with higher weight are moved to the front of the table and the options with lower weight are moved to the back of the table, so that the options with higher weight are filled preferentially.

4. The intent-driven competition and collaboration intent adapted content populating system of claim 1 further comprising step 3 modeling a set of rules, the system rules comprising a competition and collaboration populating module, a common sense reasoning module, an interaction module, and a value driver module;

the competition and cooperation filling module comprises the following operation steps: according to the obtained intention, the energy, time and privacy of the person who invests in form filling are minimized, and the purpose is met; firstly, calculating energy and time required by form filling people and exposed information quantity, namely privacy, for each necessary option and optional option, and calculating the information quantity by using information entropy, wherein the three are obtained by data retrieval and data training; then, calculating a weight value required for achieving the purpose according to the obtained intention; finally, according to the final weight value obtained in claim 3, selecting an option larger than the weight value required for achieving the purpose for filling, wherein the purpose for filling can be selected from the purpose of a person making a table, the purpose of a person making a table and the common purpose of the two;

the common sense reasoning module comprises the following operation steps: the system judges the potential intention of each option by retrieving a database and combining a data map, an information map and a knowledge map, and then determines whether each uncertain option is filled according to the potential intention, wherein the uncertain option is an option which cannot be determined whether to be filled according to a competitive filling module;

the interaction module comprises the following operation steps: when the selection item has upper and lower limits, a favorable principle for a form filler is adopted, namely the filled value fully improves the value per se under the condition of not damaging other people, reduces the communication with a form maker and other form fillers, namely reduces the times of modification caused by incorrect filled value;

the operation steps of the value driving module are as follows: judging the options to be filled by calculating the cost, the information amount and the value of the form filler, wherein the cost comprises the time and the energy required for filling each option, and the value of the form filler can be mainly embodied in the options with upper and lower limits; even if the form filler fully embodies its value with minimal investment in privacy, time and effort.

Technical Field

The invention discloses an intention-driven competition and cooperative intention adaptive content filling system, and belongs to the field of informatization.

Background

When the contents of the form are more, the user can have problems when filling in the form, and the common problems of repeated filling, error filling, trouble and the like exist. The most cumbersome task for form-based applications is to fill in many form fields. The content filled in by the user is often a repetitive work, and some fields operate many steps only to obtain the same option value. In addition, common accidents that the form is not filled well occur, such as the user pressing a refresh button carelessly, or closing a browser tab or window by mistake, and the form is lost due to too long a page resting time.

Disclosure of Invention

The technical problem is as follows: in the process of filling content, a user can cause various problems during filling in the form due to excessive form content, such as repeated filling, business trip, trouble, too much self privacy exposure, self value reduction and other various common problems.

The technical scheme is as follows: aiming at the problems, the invention designs an intention-driven content filling system which is suitable for competition and cooperative intention, and aims to change the filling process into a pile of rule modeling process, change data migration into an intention-driven competition process, change the view angle and fundamentally solve various problems generated in the data migration process.

The system structure is as follows:

data mapping: data maps can record basic attributes in an entity, but without contextual context, they have no meaning in themselves. The data map can be expressed by data structures such as arrays, linked lists, queues, trees, stacks, graphs and the like. The data map can only be used for static analysis, and cannot express the interaction relationship between the entities. Meanwhile, the data map does not analyze the accuracy of the data, different entities may appear but represent the same meaning, such as tomatoes and tomatoes, and the attributes of the two entities are the same, so that data redundancy is generated;

an information map: information is conveyed by context after data and data combination, information that is suitable for analysis and interpretation after concept mapping and correlation combination. The information map may be expressed according to a relational database. And (4) performing data cleaning on the information map to eliminate redundant data. The information map can record the interaction relation between the entities;

knowledge graph: the knowledge graph further improves the semantic relation between entities according to the data graph and the information graph, the edge density and the node density of the knowledge graph are improved through information reasoning and entity linking, and the unstructured characteristic of the knowledge graph enables the knowledge graph to be seamlessly linked.

An intention-driven competition and intention-based content filling system is characterized in that a filling process is converted into a process of modeling a pile of rules, a data migration process occurring in the filling process is converted into an intention-driven competition process, and the specific steps are as follows:

s1: determining the intention of a watchmaker according to the table to be filled;

s2: determining options related to the target in the form according to the intention of the options, and changing the relative position of each option in the form;

s3: and finally, determining the value of the substitution filling option according to the rule.

The method comprises the following steps that step 1, a data map, an information map and a knowledge map are constructed, wherein the data map records all options in a table and optional values given by the table, the information map records the sequence of the options in the table, and the knowledge map records the logic relationship among the options; the intention of each option and the intention of the whole table are determined according to the recorded contents of the three-layer map and stored in the data map.

Step 2, analyzing options in the table according to the intention obtained in step 1 to obtain direct related options, wherein the direct related options comprise necessary options and selectable options specified by a watchmaker, then performing a merging operation on the direct related options and the necessary options specified by the watchmaker to obtain options which need to be filled finally, distributing weights to each option, and obtaining a weight table 1 of each option according to training, wherein the necessary options with higher relevance to the intention have higher weights, and the weights of the specified selectable options have lower weights than the necessary options;

the system obtains a risk value filled by each option by detecting a form filling environment, wherein the detection content includes but is not limited to a network environment, and assigns a weight to obtain a weight table 2 of each option, wherein the weight of the option with higher risk is also higher, and the table 1 and the table 2 are subjected to sum operation to obtain a final weight value of each option, and the options with higher weight are moved to the front of the table and the options with lower weight are moved to the back of the table, so that the options with higher weight are filled preferentially.

The step 3 also comprises modeling a stack of rules, wherein the system rules comprise a competition and cooperation filling module, a common sense reasoning module, an interaction module and a value driving module;

the competition and cooperation filling module comprises the following operation steps: minimizing the energy, time and privacy of the person who invests in form filling according to the obtained intention, and meeting the intention when the intention is reached; firstly, calculating energy and time required by form filling people and exposed information quantity, namely privacy, for each necessary option and optional option, and calculating the information quantity by using information entropy, wherein the three are obtained by data retrieval and data training; then, calculating the weight value required for achieving the purpose according to the purpose; finally, according to the final weight value obtained in the step 2, selecting an option with a weight value larger than that required for achieving the purpose for filling; wherein the purpose can be selected from the purpose of form filler, the purpose of form maker and the common purpose of the two

The common sense reasoning module comprises the following operation steps: the system judges the potential intention of each option by retrieving a database and combining a data map, an information map and a knowledge map, and then determines whether each uncertain option is filled according to the potential intention, wherein the uncertain option is an option which cannot be determined whether to be filled according to a competitive filling module;

the interaction module comprises the following operation steps: when the selection item has upper and lower limits, a favorable principle for a form filler is adopted, namely the filled value fully improves the value per se under the condition of not damaging other people, reduces the communication with a form maker and other form fillers, namely reduces the times of modification caused by incorrect filled value;

the operation steps of the value driving module are as follows: judging the options to be filled by calculating the cost, the information amount and the value of the form filler, wherein the cost comprises the time and the energy required for filling each option, and the value of the form filler can be mainly embodied in the options with upper and lower limits; even if the form filler fully embodies its value with minimal investment in privacy, time and effort.

The invention has the following beneficial effects:

1. determining the intention of a watchmaker based on the data map, the information map and the knowledge map, and reducing data redundancy;

2. by modeling the intention, the selection required to be filled and the sequence of filling the options are determined, so that the time, the energy and the privacy of the form filler are reduced;

3. the value of the user is fully reflected under the condition that the intention of the watchmaker is met through the value driving module.

Drawings

FIG. 1 is a detailed flow diagram of an objective driven automated competitive efficiency-oriented form filling system.

Detailed Description

An intention-driven competition and intention-based content filling system is characterized in that a filling process is converted into a process of modeling a pile of rules, a data migration process occurring in the filling process is converted into an intention-driven competition process, and the specific steps are as follows:

s1: determining the intention of a watchmaker according to the table to be filled;

s2: determining options related to the target in the form according to the intention of the options, and changing the relative position of each option in the form;

s3: and finally, determining the value of the substitution filling option according to the rule.

The method comprises the following steps that step 1, a data map, an information map and a knowledge map are constructed, wherein the data map records all options in a table and optional values given by the table, the information map records the sequence of the options in the table, and the knowledge map records the logic relationship among the options; the intention of each option and the intention of the whole table are determined according to the recorded contents of the three-layer map and stored in the data map.

Step 2, analyzing options in the table according to the intention obtained in step 1 to obtain direct related options, wherein the direct related options comprise necessary options and selectable options specified by a watchmaker, then performing a merging operation on the direct related options and the necessary options specified by the watchmaker to obtain options which need to be filled finally, distributing weights to each option, and obtaining a weight table 1 of each option according to training, wherein the necessary options with higher relevance to the intention have higher weights, and the weights of the specified selectable options have lower weights than the necessary options;

the system obtains a risk value of filling of each option by detecting a form filling environment, wherein the content of the detection includes but is not limited to a network environment, and assigns a weight to obtain a weight table 2 of each option, wherein the weight of a selectable option with higher risk is also higher, for example, an attachment is uploaded, and the table 1 and the table 2 are summed to obtain a final weight value of each option, and the final weight value of each option is sequenced, so that the option with higher weight is moved to the front of the table, and the option with lower weight is moved to the back of the table, so that the option with higher weight is filled preferentially.

The step 3 also comprises modeling a stack of rules, wherein the system rules comprise a competition and cooperation filling module, a common sense reasoning module, an interaction module and a value driving module;

the competition and cooperation filling module comprises the following operation steps: minimizing the energy, time and privacy of the person who invests in form filling according to the obtained intention, and meeting the intention when the intention is reached; firstly, calculating energy and time required by form filling people and exposed information quantity, namely privacy, for each necessary option and optional option, and calculating the information quantity by using information entropy, wherein the three are obtained by data retrieval and data training; then, calculating the weight value required for achieving the purpose according to the purpose; finally, according to the final weight value obtained in the step 2, selecting an option with a weight value larger than that required for achieving the purpose for filling; wherein the purpose can be selected from the purpose of form filler, the purpose of form maker and the common purpose of the two

The common sense reasoning module comprises the following operation steps: the system judges the potential intention of each option by retrieving a database and combining a data map, an information map and a knowledge map, and then determines whether each uncertain option is filled according to the potential intention, wherein the uncertain option is an option which cannot be determined whether to be filled according to a competitive filling module; for example, when the required filling option is the publication date of the paper and the search content is the interval, any value in the interval may be selected, since it is not necessarily exact to obtain the content based on the purpose of filling the required filling option and based on conventional reasoning.

The interaction module comprises the following operation steps: when the selection item has upper and lower limits, a favorable principle for a form filler is adopted, namely the filled value fully improves the value per se under the condition of not damaging other people, reduces the communication with a form maker and other form fillers, namely reduces the times of modification caused by incorrect filled value; for example, if the author of the form filler is ranked as a third author whose contribution can be filled in by 50%, but if the author is an alternative 100%, the producer finds that the contribution of the fill is too high, and the producer can notify the form filler to modify, the fill filler principle is a favorable principle, and is high or low. Because the chartler generally does not notify the chartler to modify when the contribution of the chartler's fill is low, the value of the chartler is reduced.

The operation steps of the value driving module are as follows: judging the options to be filled by calculating the cost, the information amount and the value of the form filler, wherein the cost comprises the time and the energy required for filling each option, and the value of the form filler can be mainly embodied in the options with upper and lower limits; even if the form filler fully embodies its value with minimal investment in privacy, time and effort.