WO2023029179A1

WO2023029179A1 - Intention calculation-oriented cross-dikw modal transmission and optimization system

Info

Publication number: WO2023029179A1
Application number: PCT/CN2021/126610
Authority: WO
Inventors: 段玉聪; 雷羽潇
Original assignee: 海南大学
Priority date: 2021-08-30
Filing date: 2021-10-27
Publication date: 2023-03-09
Also published as: CN114039865A; CN114039865B

Abstract

A method and apparatus for an intention calculation-oriented cross-DIKW modal transmission and optimization system. The method may comprise: identifying a sender intention by means of analyzing transmission content and calling an existing DIKW graph; according to a receiver intention and a system intention, determining whether the transmission content can be transmitted; when a system determines that the transmission content cannot be transmitted, terminating a transmission process; when the system determines that the transmission content can be conditionally transmitted, the system formulating a transmission solution for a condition; and when the system determines that the transmission content can be directly transmitted, the system directly transmitting the transmission content to a receiver. By means of the present application, the problem of it being impossible for a content-oriented traditional transmission system to achieve a consensus balance between participants during a transmission process can be solved, and a time-saving and labor-saving transmission plan having economic benefits can be formulated on the basis of the intentions of participants, thereby reducing the bandwidth consumption of network content transmission, minimizing the release of personal information, improving the network transmission efficiency, and maximizing the benefits of transmission parties.

Description

Intention Computation-Oriented Cross-DIKW Modal Transmission and Optimization System

This application claims the priority of the Chinese patent application with the application number 202111006628.9 and the title of the invention "Intention Computation-Oriented Cross-DIKW Modal Transmission and Optimization System" filed with the China Patent Office on August 30, 2021, the entire contents of which are incorporated by reference incorporated in this application.

technical field

The present application relates to the field of DIKW, in particular to a method and device for an intentional calculation-oriented transmission and optimization system across DIKW modes.

Background technique

With the continuous development of the Internet, the scale of resource transmission is also expanding. The communication system is a rule system for managing resource transmission, which standardizes resource exchange and transmission between two or more entities by establishing rule constraints. In psychology, intention has a profound impact on human behavior. Resource transmission is the conscious behavior of the transmitter and a manifestation of the intention of the transmitter. The degree of realization of the intention is the reference standard for judging the transmission effect.

Most of the traditional transmission methods are content-oriented, unable to analyze the intention of the participants, difficult to manage the resource flow and transmission errors during the transmission process, unable to reach a consensus balance among the participants, and the transmission plan is time-consuming and labor-intensive and does not have the maximum economic benefits.

Contents of the invention

In view of the above problems, the present application provides a method and device for an intent calculation-oriented cross-DIKW modal transmission and optimization system that overcomes the above problems or at least partially solves the above problems.

In the first aspect, a method for intent calculation-oriented cross-DIKW modal transmission and optimization system, the method comprising:

Identify sender intent by analyzing transmission content and invoking existing DIKW graphs;

Judging whether the transmission content can be transmitted according to the intention of the receiver and the intention of the system;

When the system judges that the transmission content is untransmittable, suspend the transmission process;

When the system judges that the transmission content is conditional transmission, the system formulates a transmission solution for the condition;

When the system determines that the transmission content is direct transmission, the system directly transmits the transmission content to the receiver.

With reference to the first aspect, in some optional implementation manners, the method includes:

The system starts with a single parent intent, "Show something to the recipient," and expands the intent tree to more precise sub-intents by invoking known DIKW graph resources associated with the input, until the available resources and cost Achieve the most accurate intent recognition.

The main review basis for the system to judge whether the transmission content can be transmitted is the legal ethics and value norms in the system intention, and the blacklist norm in the system intention.

When the system judges that the transmission content violates legal ethics, value norms and blacklist norms, the system will suspend the transmission process.

When the system judges that the transmission content can be transmitted after adding the predetermined condition of the recipient, the system formulates a transmission solution for the condition.

When the system determines that the transmission content can be directly transmitted, the transmission content is directly transmitted to the recipient under the condition that the intention of the recipient is satisfied.

With reference to the first aspect, in some optional implementation manners, the method further includes:

When the intent of the sender is clear and only a part of the transmission is valid and the rest is invalid, only the most important transmission is transmitted in case of limited transmission capacity or emergency;

Optionally, when the accuracy of the sender's intent is low or there are multiple sender's intents, the transmission content will be decomposed into multiple resource packets, and transmitted in order of importance of the sender's intents.

After the system judges that the transmission content can be directly transmitted, the system adds and optimizes the transmission content to expand the practicability of transmission resources.

In the second aspect, an intention calculation-oriented cross-DIKW modality transmission and optimization system device, the device includes: an intention identification unit, a content review unit, and a demand processing unit;

The intent recognition unit is configured to execute the system starting from a unique parent intent "show something to the recipient" and expand the intent tree to a more precise sub-intents until the most accurate intent recognition is achieved with available resources and costs;

The content review unit is configured to perform a review on the system to determine whether the transmission content can be transmitted based on the legal ethics and value norms in the system intention, and the blacklist norm in the system intention;

The demand processing unit is configured to execute when the system judges that the transmission content violates legal ethics, value norms and blacklist norms, the system will stop the transmission process;

The demand processing unit is further configured to execute, when the system judges that the transmission content can be transmitted after adding the predetermined condition of the recipient, the system formulates a transmission solution for the condition.

With reference to the second aspect, in some optional implementation manners, the device further includes: a service processing unit;

The service processing unit is configured to, when the system judges that the transmission content can be directly transmitted, directly transmit the transmission content to the recipient under the condition that the intention of the recipient is met.

By means of the above technical solution, the present application provides a method and device for an intent calculation-oriented cross-DIKW modal transmission and optimization system, which can identify the sender’s intent by analyzing the transmission content and invoking the existing DIKW map; according to the receiver’s intention and system intention to judge whether the transmission content can be transmitted; when the system judges that the transmission content is untransmittable, the transmission process is suspended; when the system judges that the transmission content is conditional transmission, the system Formulate a transmission solution for the condition; when the system judges that the transmission content is direct transmission, the system directly transmits the transmission content to the receiver. It can be seen from this that this application can use the cross-DIKW intent-driven model to analyze and model the intentions of the parties and the transmission content in the process of network content transmission, so as to solve the problem that the traditional content-oriented transmission system cannot achieve in the transmission process. Consensus balance between the parties involved can be based on the intention of the parties involved to formulate time-saving, labor-saving and economically beneficial transmission plans to obtain ideal transmission results at a lower cost, improve network transmission efficiency, and maximize their own interests change.

The above description is only an overview of the technical solution of the present application. In order to better understand the technical means of the present application, it can be implemented according to the contents of the description, and in order to make the above and other purposes, features and advantages of the present application more obvious and understandable , the following specifically cites the specific implementation manner of the present application.

Description of drawings

Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiment. The drawings are only for the purpose of illustrating the preferred embodiments and are not to be considered as limiting the application. In the attached picture:

Fig. 1 shows a flow chart of a method for intention calculation-oriented cross-DIKW modal transmission and optimization system provided by the present application;

Fig. 2 shows a schematic diagram of a parent class and a subclass of a data model, an information model, a knowledge model, and an intent model provided by the present application;

FIG. 3 shows a schematic representation of an intent-driven information resource provided by the present application;

Fig. 4 shows a schematic diagram of the direction of conversion from D to I provided by the present application;

Fig. 5 shows a schematic diagram of a parent intent and a child intent provided by the present application;

FIG. 6 shows a schematic diagram of transmitting content pictures in an embodiment provided by the present application;

Fig. 7 shows a schematic diagram of OBJ recognition results in an embodiment provided by the present application;

Figure 8 shows a schematic diagram of a simple data map based on OBJ1 in an embodiment provided by the present application;

FIG. 9 shows a schematic diagram of an intent recognition tree in an embodiment provided by the present application;

FIG. 10 shows a schematic structural diagram of an intention calculation-oriented cross-DIKW modal transmission and optimization system provided by the present application.

Detailed ways

Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided for more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

As shown in Figure 1, the present application provides a method for intentional calculation-oriented cross-DIKW modal transmission and optimization system, the method includes: S100, S200, S300, S400 and S500;

S100: Identify the intent of the sender by analyzing the transmission content and calling the existing DIKW map;

The process of resource transmission includes the process of transferring the transfer content (Transfer Content) from the sender (Sender, SED) to the receiver (Receiver, REV), and the process of the possible REV replying (Response) to the SED. Both types of resource transfer processes are driven by Transfer Intention (ITT _tsf ), and the relationship between ITT _tsf and the behavior of REV and SED is called the Intentional Chain. The transmission content is the carrier of ITT _tsf , which exists in various forms in the transmission chain, such as text (Text, TXT), picture (Image, IMG), video (Video, VDO), audio (Audio, ADO) wait.

DIKW is an abbreviation for data (Data, D), information (Information, I), knowledge (Knowledge, K) and wisdom (Wisdom, W), referring to data (D), information (I), knowledge (K) and wisdom (W) The joint expression of four types of resources is a description of the relationship (Relation, R) between semantic objects (Semantic Object, OBJ) in resource processing. In semantic resource processing, relations can define all semantics. The DIKW graph consists of three types of graphs: data graph, information graph, and knowledge graph, which are used to store data, information, and knowledge resources respectively. The DIKW map builds a UML meta-model around the two core concepts of "Human" and "Existence". Based on the user itself and the resources that have been confirmed to exist, new data, information and knowledge resources are generated through the derivation of the relationship between resources. The three types of resources, data, information, and knowledge, as well as the intent IIT that drives the transmission, are both subcategories in a large category, and can also have multiple subcategories as a large category. As shown in Figure 2, the four elements of DIKP can be converted between the parent class and the subclass through the functions Classify and Conclude to form a tree diagram of affiliation. If the existing system does not have a DIKW graph, create a new DIKW graph for mapping between relationships.

Data resource D is the simplest expression of the semantic object relationship, which only represents the existence (Rexist) of R between OBJs, and belongs to the simplest and most numerous part of DIKW graph modeling. D is not associated with a specific intention of human beings, and exists in a discrete form in the data map;

D has four different forms of existence in the data map: Numeric, Probability, Logic and Range;

Optionally, the method S100 has the following formula:

Data＝R _exist ＝{D _N , D _P , D _L , D _C , D _R } (1)

Among them, the numerical data D _N expresses numerical symbols or the combination of numerical symbols and OBJ, not limited to Arabic numerals, but also includes text expressions with numerical semantics. For example, the following D _N1 contains various forms of D _N such as single-value symbols, multi-value combinations, semantic object numerical attributes, and formulas;

D _N1 = {"6", "12", "{6,12}", "6 books", "12 people", "12÷6=2", "2 books per person", "2" , "{6,12,2}"}

Probabilistic data _DP is a digital resource used to represent the uncertain attributes of OBJ, which can be divided into numerical _DP and non-numerical _DP . Numerical _DP is a branch of _DN , and it mostly exists in the form of fractions, decimals, ratios and percentages, for example:

D _P = {"1/4 of the box is black balls", "the ratio of the number of black balls to white balls in the box is 1:3", "the probability of drawing one ball at a time is 0.75", "one draw A black ball has a 25% chance of being drawn"}

Non-numerical _DP is a semantic expression with fuzzy quantitative description, such as "as if", "mostly", and "probably" in the data set _DP1 .

D _P1 = {"The activity of the class next door seems to be watching a movie tomorrow night", "Most people chose to participate in this group activity", "They gathered at the entrance of the cinema at about 8:20"}

Logical data _DL expresses digital resources that can be defined by "Yes/No", which can be simplified as OBJ(Yes/No XXXX). For example, D _L1 is two content identity definitions about the same semantic object A. The _DL expression form is conducive to the classification and processing of resources, and facilitates the calling of resources by the system in the modeling of DIKW graphs.

D _L1 = {"A is a student"→A(YesStudent), "A is not a teacher"→A(NoTeacher)}

Range data _DR refers to the combination expression of D formed by a certain IIT. The D contained in _DR can be numerical, logical, aggregate or a variety of mixed types. For example, _DR1 is a _DL range, and _DR2 is a hybrid range.

D _R1 ＝{ITT:Buy a suitable cup of coffee|NoSugaring,YesIce,YesPack}

D _R2 ＝{ITT:Recruit competent employees|Clinical Medicine,Master degree and above,YesExperience}

Data resources are divided into D _N and D _P , and D _P in numerical form less than 1, such as decimals, fractions, ratios, and percentages, belongs to the branch of D _N , but not all D _N less than 1 belong to D _P . _DP has characteristics that need to be combined with OBJ to express, and pure numerical attributes belong to _DN . For example, "1", "6" and "1/6" in D _N1 are not combined with specific OBJ, and only represent the value itself, which has no practical significance; "8:30" in D _N2 is a ratio form The time expression of , both of which do not belong to the category of PD _DIK .

D ₁ ="1÷6=1/6"∈D _N

D ₂ = "The exam starts at 8:30 a.m. tomorrow morning" ∈ DN

D ₃ = "The probability of each of six people winning a prize is 1/6" ∈ DP

D ₄ = "The ratio of food to people is 8:30" ∈ DP

Optionally, the algorithm for distinguishing _DN and _DP is as follows:

Information resource I _DIK is an objective description (R _objective ) of the relationship between semantic objects. As shown in formula (2), R(OBJ ₁ , OBJ ₂ ) represents the objective relationship between two semantic objects driven by IIT. IIT can drive the expression of R between I and OBJ on the basis of D, as shown in formula (3), which defines the type resource calculation symbol;

I＝R _objective ＝R(OBJ ₁ ,OBJ ₂ ) (2)

Figure 3(a) shows how IIT drives D to I conversion, and Figure 3(b) shows the decomposition formula of the process in Figure 3(a). Figure 4 shows the key role of IIT in the conversion process from D to I. Different IITs will lead to different conversion results of the same D;

The two most common types of information resources are comparison type (I _Compare ) and usage type (I _Usage ).

I _Compare exists between two OBJs with the same attributes. It is formed for the purpose of comparing the two. The general form is "A is more than B...". As shown in Figure 4, I _Usage is driven by usage intention, and the general form is "A uses B to do..."

I _Compare = "A is+Comparative+than B"

I _Usage = "A do something with B"

Knowledge resource K is a summary of REL, derived from existing resources through deductive derivation, and has subjective conceptual (R _conceptual ) and uncertainty;

Optionally, this method has the following formula:

K＝R _conceptual ＝R _cpt (OBJ ₁ ,OBJ ₂ ) (4)

The source of K includes extraction and induction. Induction refers to the interpretation method of deriving general principles and principles from special and specific cases. It is divided into complete inductive reasoning and incomplete inductive reasoning. Incomplete inductive reasoning can be divided into simple enumeration inductive reasoning and scientific inductive reasoning. In the DIKW graph transfer model, which is driven by IIT, since it is difficult for UGC to provide sufficient resources to support complete inductive reasoning, the K-induction method is costly and has a low success rate. Although the extracted K has the disadvantage of not being able to directly calculate the uncertainty, it can be verified by the induction method, which belongs to the method of induction after the conclusion. The verification cost is lower than that of the pure induction method and the success rate is higher;

Knowledge resources can be divided into Common Sense Knowledge and Rules Knowledge. Common sense knowledge is similar to D _L in data resources. D _L is defined by "Yes/No", while common sense knowledge is defined by "True/False", such as "the earth is round". Regular knowledge is a rule formulated for a certain processing event, for example, an election stipulates that "one person, one vote, the minority obeys the majority". Common-sense knowledge is universal absolute knowledge, while regular knowledge is relative knowledge, which is not universal;

Between 100% common-sense rules and one-time regular knowledge, there are also empirical rules (Experience Knowledge), which predict events that have not yet occurred through the results of similar events that have occurred. For example, in the modeling process of DIKW, the identification and definition of OBJ needs to rely on the existing empirical rules, and the learned machine system can complete the identification of semantic objects;

The intent model is an important part of the DIKW network transmission process, which includes the intents of the three participants and their intent priorities. The three participants include the sender, the transmission system and the receiver, as shown in equation (5). The DIKW map transmission system achieves a satisfactory result in the balance and trade-off of the three intentions;

Intention＝{IIT _Sed ,IIT _Rev ,IIT _Sys } (5)

In general, the intention priority order in the DIKW map transmission system is that the intention of the sender is higher than that of the receiver, and the intention of the receiver is higher than that of the system. In the DIKW graph transmission model, IIT _Sed drives the start of the transmission process, IIT _Rev is the specification of whether REV receives the transmission and the form of receiving content, and IIT _Sys is the system requirement to save resources or reduce costs. When a conflict of intent occurs during transmission, the system usually considers the intent with higher priority first;

The sender is the initiator of the transfer process, which determines the direction of the transfer. The resources that the system can obtain from the SED include UGC, REV, and REV's expectation or response request. IIT _Sed 's priority ranks highest among the three intents. Exceptions exist for paid transfers. IIT _Rev has priority over IIT _Sed when REV pays for transmission;

Reception of transmissions is a passive process but REV has some active rights which are covered by IIT _Rev. For example, REV has the right to refuse the transmission of content from a certain SED according to the "blacklist" set before transmission, and in terms of morality, minor taboos, religious taboos, racial habits and regional customs, etc. are also included in IIT _Rev content;

The transmission system in the DIKW map transmission system is responsible for providing services for SED and REV. IIT _Sys is at the bottom in the priority order of intent. IIT _Sys is a part of the value model which consists of different reference values in the transfer process. The main reference value of the operation process of the transmission system is the regular constraint, the secondary value is the maximization of the system profit, and the remaining sub-values include the reduction of time loss, space loss and cost loss, etc. Without affecting the satisfaction of IIT _Sed and IIT _Rev , the system can choose the transmission scheme that is most beneficial to itself;

Under the operation of the Type function shown in formula (1), IIT can be divided into parent intent (IIT _Father , IIT _F ) and child intent (IIT _Son , IIT _S ), IIT _S is a branch of IIT _F , and IIT _F may contain All IIT _S , may only contain a single IIT _S . If the IIT is regarded as a kind of data resource, the IIT _F is the scope data that contains one or more IIT _S. Parent intent and sub-intent are relative concepts, and sub-intent can be further divided into second-level sub-intent and third-level sub-intent;

All content transfers can be collectively summarized as the only parent intent _IITF , that is, the SED wants to express a certain content to the REV. The transmission content can be in a variety of forms, mainly including four types: text, picture, video, and audio. As shown in Figure 5, the four sub-intents of _IITF can be obtained through the function Classify, and the "Something" of IITF is replaced by four types of transmission content respectively;

IIT _F = "Show something to REV"

IIT _S = "Show the Text/Image/Video/Audio to REV"

In the intent system, multiple sub-intents under a parent intent can be in a coexistence relationship rather than an exclusive relationship, and the same sub-intent may belong to two different parent intents. For example, the four types of transmission content of text, picture, video, and audio in Figure 5 can exist in one transmission at the same time;

S200: Determine whether the transmission content can be transmitted according to the intention of the receiver and the intention of the system;

The main review basis for the transmission content in the DIKW graph content transmission system is the legal ethics in IIT _Sys and the blacklist specification in IIT _Rev. The input to the content review layer is IIT _Sys , IIT _Rev and transmission content. The output is the result of the intent review, which is divided into three cases: non-transferable, conditionally transferable, and direct transfer.

S300: When the system judges that the transmission content is untransmittable, stop the transmission process;

Legal and ethical codes are part of IIT _Sys , and all work of the DIKW graph content delivery system operates under legal and ethical constraints. The intentions of the participants should not override the law and ethics. In this method S300, the system judges whether the acquired IIT complies with legal and moral requirements. For example, illegal resources will not be allowed to be transmitted, and if REV is a minor, the restrictions on transmitted content will be greater;

The blacklist belongs to the content of IIT _Rev , and part of it is pre-set by REV, such as the SED blacklist. REV rejects content transmission from certain SEDs and may change at any time. REV has the right to reject resources from specific SEDs, or to reject resources with specific keywords or specific types;

The system rule specification is the manifestation of IIT _Sys and involves reference value. In the case of satisfying IIT _Sed and IIT _Rev , the system will transmit with the goal of maximizing its own interests. May include selecting a free transferable machine, delaying transfers where permitted, etc.;

S400: When the system determines that the transmission content is conditional transmission, the system formulates a transmission solution for the condition;

The method S400 refers to IIT _Sys to formulate an optimal transmission scheme that will not affect IIT _Sed and IIT _Rev. The solutions on transmission conditions mainly include resource concentration and resource sequencing. The processing objects of the two methods are the same, both of which are for large resources with high transmission costs; the processing logic is also the same, both of which are to transmit important content in the resources;

The resource concentration described above is suitable for the precise situation of IIT _Sed . If the valid content in the transmission content only accounts for a part, and the rest is invalid content, then only the most important content will be transmitted when the transmission capacity is limited or in emergency situations. For example, a certain word in the text content, a certain part in the picture content, a certain segment in the video and audio content, etc.;

The resource sorting is suitable for situations where the IIT _Sed is not so precise or multiple IIT _Seds coexist. The transmission content will be decomposed into several resource packages according to the IIT _Sed , and the resource packages will be sorted and transmitted according to the importance to the realization of the IIT _Sed . If the resource package before the sequence has satisfied the IIT _Sed , the system can stop the transmission of the resource package after the sequence to save resources under the premise that SED and REV allow. When multiple IIT _Seds coexist, there are multiple possible resource packet sequences for transmission, which can be transmitted simultaneously in multiple sequences; if the transmission system provides paid resource encryption services, resource sorting can help the system formulate the most cost-effective for customers plan. For example, the resource packs at the front of the sequence are finely encrypted, the resource packs in the middle of the sequence are encrypted at the next level, and the resource packs at the end of the sequence can choose not to be encrypted;

Optionally, the two methods of resource concentration and resource sorting can be processed in combination, and not limited to only one method can be used at the same time. The combined processing of these two methods can reduce the transmission cost that needs to be consumed to minimum;

S500: When the system determines that the transmission content is direct transmission, the system directly transmits the transmission content to a receiver;

Optionally, when the system meets the inherent requirements of IIT, and judges that REV may not fully understand IIT _Sed according to the DIKW of REV, the system can make appropriate supplements to the transmission content, which is called resource supplementation; the advantage of resource supplementation is to expand UGC content and resource supplements can only be used as an auxiliary function in the transmission process, and cannot completely replace the transmission content.

Optionally, in order to further describe the solution of the present application, a complete embodiment is used below to describe the solution of the present application.

In a certain transmission process, the content transmitted from sender A to receiver B is Text ₁ and Image ₁ , both of which belong to data resources. The system numbers them as D ₁ and D ₂ . The sender’s intention IIT _A is initially defined as the transmission to B text and pictures.

D ₁ = Text ₁ = "Here"

D ₂ =Image ₁ = "Figure 6"

IIT _A = "Show the Text and Image to B

1. Intent recognition

First, identify the IIT _Sed , the steps are as follows:

① Type D ₁ , and through the function Classify, we can know that "Here" belongs to a subclass of "Location", so IIT _A1 : Informing B of location information may be a sub-intent of IIT _A.

Classify(D ₁ )=Classify(Text ₁ )=Classify("Here")=Location

IIT _A1 = "Tell the location message to B"

Secondly, carry out semantic object recognition on the content in _D2 , and through the application of scene recognition experience knowledge, the recognition result is shown in Figure 7. The 8 OBJs are numbered with OBJ _1~8 respectively.

DIKW modeling can facilitate the identification of IIT, for example, OBJ ₁ is a blackboard, and a simple data map centered on OBJ ₁ is shown in Figure 8. According to the content of the data map in Figure 8, driven by the system intent IIT _Sys1 and the application of empirical knowledge rules, it can be judged that the scene in Image ₁ is likely to be a coffee shop. At this time, the "location message" in IIT _A1 can be updated to "the location of this Cafe".

IIT _Sys1 = "Identity the scene Blackboard located"

IIT _A1 = "Tell the location of this Cafe to B"

Under the condition that there is no more transmission content, according to the previous empirical knowledge rules and calling the existing DIKW map, the sender's intent tree as shown in Figure 9 can be drawn. The gray part in Figure 9 is the possible IIT _Sed , as shown below, IIT _Sed4 is the possible sub-intent of IIT _Sed1 and IIT _Sed2 .

IIT _Sed1 = "Tell B where A is"

IIT _Sed2 = "Tell the appointed place to B"

IIT _Sed3 = "Recommend the Cafe to B"

IIT _Sed4 = "Inform B to come to the Cafe"

2. Content review

2.1 The system checks the DIKW map of IIT _Sys , and judges that the transmission contents of D ₁ and D ₂ are legal in the moral and legal system. The output is Direct-transmissible.

2.2 The system invoked the DIKW map related to IIT _Rev , traversed the map and found that due to insufficient mobile phone traffic, REV set the resource transmission larger than 500M to obtain his consent before receiving it. The output is Transmissible with conditions attached.

Combining the two outputs of 1 and 2, the system needs to process the transmission content.

3. Demand processing

According to the output results of the content review, the resources are centralized, and the scheme is as follows:

3.1 Based on the sampling process of IIT _Rev , the image size is reduced to below 500M.

3.2 Based on the montage cutting of the picture based on IIT _Sed , combined with the DIKW picture of REV, according to the principle of resource sorting, the ① part and the ④ part where the geographical location can be identified in Figure 7 are preferentially transmitted.

4. Service processing

The system calls the DIKW map of REV, and finds that it is impossible to determine whether REV knows the specific location of the coffee shop and whether it can meet the requirements of IIT _Sed . At this time, the system can supplement resources to _D2 , such as adding the specific location of the cafe on the map, or the specific travel route from REV to the cafe as a supplement to the transmission resources.

As shown in FIG. 10 , the present application provides an intention calculation-oriented cross-DIKW modality transmission and optimization system device, which includes: an intention identification unit 100, a content review unit 200, and a demand processing unit 300;

The content review unit is configured to perform a review of the system to determine whether the transmission content can be transmitted based on the legal ethics and value norms in the system intention, and the blacklist norm in the system intention;

With reference to the implementation manner shown in FIG. 10 , in some optional implementation manners, the device further includes: a service processing unit 400 .

In this application, terms such as "comprising", "comprising", or any other variation thereof are intended to cover a non-exclusive inclusion such that a process, method, article, or apparatus comprising a series of elements includes not only those elements, but also includes Other elements not expressly listed, or elements inherent in the process, method, article, or apparatus are also included. Without further limitations, an element defined by the phrase "comprising a ..." does not exclude the presence of additional identical elements in the process, method, article or apparatus comprising said element.

The above description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the application. Therefore, the present application will not be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

The above descriptions are only preferred embodiments of the present application, and are not intended to limit the protection scope of the present application. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of this application are included within the protection scope of this application.

Claims

A method for intentional calculation-oriented cross-DIKW modal transmission and optimization system, characterized in that it includes:

Identify sender intent by analyzing transmission content and invoking existing DIKW graphs;

Judging whether the transmission content can be transmitted according to the intention of the receiver and the intention of the system;

When the system judges that the transmission content is untransmittable, suspend the transmission process;

When the system judges that the transmission content is conditional transmission, the system formulates a transmission solution for the condition;

When the system determines that the transmission content is direct transmission, the system directly transmits the transmission content to the receiver.
The method according to claim 1, characterized in that the method comprises:

The system starts with a single parent intent, "Show something to the recipient," and expands the intent tree to more precise sub-intents by invoking known DIKW graph resources associated with the input, until the available resources and cost Achieve the most accurate intent recognition.
The method according to claim 1, characterized in that the method comprises:

The main review basis for the system to judge whether the transmission content can be transmitted is the legal ethics and value norms in the system intention, and the blacklist norm in the system intention.
The method according to claim 1, characterized in that the method comprises:

When the system judges that the transmission content violates legal ethics, value norms and blacklist norms, the system will suspend the transmission process.
The method according to claim 1, characterized in that the method comprises:

When the system judges that the transmission content can be transmitted after adding the predetermined condition of the recipient, the system formulates a transmission solution for the condition.
The method according to claim 1, characterized in that the method comprises:

When the system determines that the transmission content can be directly transmitted, the transmission content is directly transmitted to the recipient under the condition that the intention of the recipient is met.
The method according to claim 1, further comprising:

When said sender's intent is clear and only part of the transmission is valid and the rest is invalid, only the most important transmission is transmitted in case of limited transmission capacity or emergency situations;

Optionally, when the accuracy of the sender's intent is low or there are multiple sender's intents, the transmission content will be decomposed into multiple resource packets, and transmitted in order of importance of the sender's intents.
The method according to claim 1, further comprising:

After the system judges that the transmission content can be directly transmitted, the system adds and optimizes the transmission content to expand the practicability of transmission resources.
A device for intent calculation-oriented cross-DIKW modal transmission and optimization system, characterized in that the device includes: an intent recognition unit, a content review unit, and a demand processing unit;

The intent recognition unit is configured to execute the system starting from a unique parent intent "show something to the recipient" and expand the intent tree to a more precise sub-intents until the most accurate intent recognition is achieved with available resources and costs;

The content review unit is configured to perform a review on the system to determine whether the transmission content can be transmitted based on the legal ethics and value norms in the system intention, and the blacklist norm in the system intention;

The demand processing unit is configured to execute when the system judges that the transmission content violates legal ethics, value norms and blacklist norms, the system will stop the transmission process;

The demand processing unit is further configured to execute, when the system judges that the transmission content can be transmitted after adding the predetermined condition of the recipient, the system formulates a transmission solution for the condition.
The device according to claim 9, further comprising: a service processing unit;

The service processing unit is configured to, when the system judges that the transmission content can be directly transmitted, directly transmit the transmission content to the recipient under the condition that the intention of the recipient is satisfied.