CN108509563A - Robot reasoning association method, device, equipment and the medium of knowledge based collection of illustrative plates - Google Patents
Robot reasoning association method, device, equipment and the medium of knowledge based collection of illustrative plates Download PDFInfo
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- CN108509563A CN108509563A CN201810246640.9A CN201810246640A CN108509563A CN 108509563 A CN108509563 A CN 108509563A CN 201810246640 A CN201810246640 A CN 201810246640A CN 108509563 A CN108509563 A CN 108509563A
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- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
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- G06N5/04—Inference or reasoning models
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Abstract
The invention belongs to intelligent robot technology fields, provide a kind of robot reasoning association method, device, equipment and the medium of knowledge based collection of illustrative plates.This method includes obtaining pending entity to identify the corresponding target entity of pending entity in knowledge mapping, determine the reachability relation of target entity, fed back.The present invention is based on robot reasoning association method, device, equipment and the media of knowledge mapping, being capable of reasoning and associative ability quick, that effectively realize robot.
Description
Technical field
The present invention relates to intelligent robot technology fields, and in particular to a kind of reasoning association of robot of knowledge based collection of illustrative plates
Method, apparatus, equipment and medium.
Background technology
Currently, existing intelligent robot product, the Research on Intelligent Robots achievement etc. delivered, do not relate separately to
Or pay attention to the Associative Inference ability of intelligent robot, the achievement in research of the Associative Inference ability about robot is slightly inadequate.
Existing intelligent robot product is to bypass the research and development to intelligent robot Associative Inference ability more, and by matching
It sets, the modes such as rule is set so that intelligent robot " seeming " has Associative Inference ability.
The problem of reasoning and the associative ability for how realizing robot are those skilled in the art's urgent need to resolve.
Invention content
For the defects in the prior art, the present invention provides a kind of reasoning association sides of robot of knowledge based collection of illustrative plates
Method, device, equipment and medium can realize reasoning and the associative ability of robot.
In a first aspect, the present invention provides a kind of robot reasoning association method of knowledge based collection of illustrative plates, this method includes:It obtains
Take pending entity;
In knowledge mapping, the corresponding target entity of pending entity is identified;
The reachability relation for determining the target entity, is fed back.
Further, in knowledge mapping, the corresponding target entity of pending entity is identified, including:
Extensive operation is carried out to the pending entity, generates extensive result;
In knowledge mapping, according to described extensive as a result, identifying target entity corresponding with the processing entities.
Robot reasoning association method embodiment based on above-mentioned arbitrary knowledge based collection of illustrative plates further obtains and waits locating
Entity is managed, including:Obtain at least two entities;
The reachability relation for determining the target entity, is fed back, including:
In knowledge mapping, using each target entity as starting point, the reachability relation of specified number of skips is determined,
The reasoning results are generated, are fed back.
Further, it is determined that after the reachability relation of specified number of skips, before generating the reasoning results, this method is also wrapped
It includes:
According to syntax rule, the reachability relation of the specified number of skips is converted into natural language;
The reasoning results are generated, including:
Using transformed natural language as the reasoning results.
Robot reasoning association method embodiment based on above-mentioned arbitrary knowledge based collection of illustrative plates, further, it is determined that described
The reachability relation of target entity, is fed back, including:
In knowledge mapping, determine that the subgraph corresponding to the target entity, the target entity are an entity;
According to the subgraph corresponding to the target entity, the reachability relation of target entity is determined;
According to the reachability relation of target entity, association is generated as a result, being fed back.
Further, it is determined that after the reachability relation of target entity, before generating association's result, this method further includes:
The score of every reachability relation and corresponding subgraph is calculated, score is effective between characterization reachability relation and corresponding subgraph
The numerical value of property degree;
According to the score of calculating, specified reachability relation is screened;
According to syntax rule, the reachability relation filtered out is converted into natural language;
Association is generated as a result, including:
Using transformed natural language as association's result.
Further, after identifying the corresponding target entity of pending entity, before the reachability relation for determining target entity,
This method further includes:
Determine the knowledge mapping that subgraph is provided;
According to the update information of pre-acquiring, the knowledge mapping to providing subgraph is updated.
As shown from the above technical solution, the robot reasoning association method of knowledge based collection of illustrative plates provided in this embodiment, energy
Enough by knowledge mapping, determines target entity corresponding with pending entity, and then obtain target entity reachability relation, realize machine
The reasoning of device people and associative ability.
Second aspect, the present invention provide a kind of reasoning association of robot device of knowledge based collection of illustrative plates, which includes:It obtains
Unit, recognition unit and feedback unit are taken, acquiring unit is for obtaining pending entity;Recognition unit is used in knowledge mapping
In, identify the corresponding target entity of pending entity;Feedback unit is used to determine the reachability relation of the target entity, carries out anti-
Feedback.
As shown from the above technical solution, device, energy are associated in the robot reasoning of knowledge based collection of illustrative plates provided in this embodiment
Enough by knowledge mapping, determines target entity corresponding with pending entity, and then obtain target entity reachability relation, realize machine
The reasoning of device people and associative ability.
The third aspect, the present invention provide a kind of reasoning association of robot equipment of knowledge based collection of illustrative plates, which includes:Extremely
A few processor, at least one processor and the computer program instructions being stored in the memory, when the calculating
Machine program instruction realizes the robot reasoning association method of above-mentioned knowledge based collection of illustrative plates when being executed by the processor.
Equipment, the machine with above-mentioned knowledge based collection of illustrative plates are associated in the robot reasoning of knowledge based collection of illustrative plates provided in this embodiment
Device people's reasoning association method is for identical inventive concept, advantageous effect having the same.
Fourth aspect, the present invention provide a kind of computer readable storage medium, are stored thereon with computer program instructions, when
The robot reasoning association method of above-mentioned knowledge based collection of illustrative plates is realized when computer program instructions are executed by processor.
Computer readable storage medium provided in this embodiment, the reasoning association side of robot with above-mentioned knowledge based collection of illustrative plates
Method is for identical inventive concept, advantageous effect having the same.
Description of the drawings
It, below will be to specific in order to illustrate more clearly of the specific embodiment of the invention or technical solution in the prior art
Embodiment or attached drawing needed to be used in the description of the prior art are briefly described.In all the appended drawings, similar element
Or part is generally identified by similar reference numeral.In attached drawing, each element or part might not be drawn according to actual ratio.
Fig. 1 shows a kind of method flow of the robot reasoning association method of knowledge based collection of illustrative plates provided by the present invention
Figure;
Fig. 2 shows a kind of connection signals of reasoning association of the robot device of knowledge based collection of illustrative plates provided by the present invention
Figure.
Specific implementation mode
The embodiment of technical solution of the present invention is described in detail below in conjunction with attached drawing.Following embodiment is only used for
Clearly illustrate technical scheme of the present invention, therefore be intended only as example, and the protection of the present invention cannot be limited with this
Range.
It should be noted that unless otherwise indicated, technical term or scientific terminology used in this application should be this hair
The ordinary meaning that bright one of ordinary skill in the art are understood.
In a first aspect, the embodiment of the present invention provides a kind of robot reasoning association method of knowledge based collection of illustrative plates, in conjunction with figure
1, this method includes:
Step S1 obtains pending entity.
Step S2 identifies that the corresponding target entity of pending entity, knowledge mapping are to build in advance in knowledge mapping
's.
Step S3 determines the reachability relation of target entity, is fed back.Wherein, reachability relation refer in knowledge mapping,
Incidence relation between any two entity.
As shown from the above technical solution, the robot reasoning association method of knowledge based collection of illustrative plates provided in this embodiment, energy
Enough by knowledge mapping, determines target entity corresponding with pending entity, and then obtain target entity reachability relation, realize machine
The reasoning of device people and associative ability.
In order to further increase the present embodiment knowledge based collection of illustrative plates robot reasoning association method accuracy, in entity
In terms of identification, in knowledge mapping, when identifying the corresponding target entity of pending entity, the specific implementation process is as follows:
It treats processing entities and carries out extensive operation, generate extensive result.
In knowledge mapping, according to extensive as a result, identifying target entity corresponding with processing entities.If input by user
Physical name and the physical name in knowledge mapping are inconsistent, but meaning is consistent, such as Zhou Jielun and Jay, it is therefore desirable to carry out
Extensive, the respective operations of entity.
Here, the robot reasoning association method of the present embodiment knowledge based collection of illustrative plates is being known by extensive, respective operations
Know in collection of illustrative plates, determine target entity corresponding with pending entity, improves Entity recognition efficiency.
For the inferential capability of robot, the specific reality of the robot reasoning association method of the present embodiment knowledge based collection of illustrative plates
Existing process is as follows:
Obtain at least two entities.Here, pending entity number can be two or more.
In knowledge mapping, the corresponding target entity of each entity is identified.
In knowledge mapping, using each target entity as starting point, the reachability relation of specified number of skips is determined,
The reasoning results are generated, are fed back.Wherein, specified number of skips is the parameter being arranged according to practical business demand.
Here, being directed to pending two or more entities, the robot of the present embodiment knowledge based collection of illustrative plates pushes away
Reason association method can make inferences, and generate the reasoning results between entity, fed back.
Specifically, when feeding back the reasoning results, the robot reasoning association method of the present embodiment knowledge based collection of illustrative plates can
In the form of natural language, fed back, it is user-friendly, user experience is improved, the specific implementation process is as follows:
After the reachability relation for determining specified number of skips, before generating the reasoning results, according to syntax rule, by specified jump
The reachability relation of jump number is converted to natural language.
When generating the reasoning results, using transformed natural language as the reasoning results.
For example, user is to robot input, " you know the relationship of Zhou Jielun and Chen Yixun”
The first step, after robot recognizes user's input, recognize " Zhou Jielun " and " Chen Yixun " in user's question sentence this
Two entities.
Second step, by " Zhou Jielun " and " Chen Yixun " the two entities respectively with it is " Zhou Jielun " and " old in knowledge mapping
Yi Xun " is extensive, corresponding.
Third walks, and using " Zhou Jielun " and " Chen Yixun " the two entities as starting point, returning to the two entities can in 5 jumps
N=5 is arranged in the relationship reached, the relationship specifically returned is as follows:
" Zhou Jielun-[type]->Performer-[type]->Chen Yixun ",
" Zhou Jielun-[nationality]->China-[nationality]->Chen Yixun ",
" Zhou Jielun-[type]->Singer-[type]->Chen Yixun ",
" Zhou Jielun-[type]->2011 Forbes China famous persons-[type]->Chen Yixun ",
" Zhou Jielun-[nationality]->Han nationality-[nationality]->Chen Yixun ".
In actual application, it is the parameter being arranged according to practical business demand to specify number of skips N.
4th step is based on syntax rule for the relationship of return, generates the natural language used in daily interaction, and return
Back to user, in this example:Zhou Jielun and Chen Yixun is performer and singer, is all Chinese han population, has all been selected in 2011 good fortune
Buss China celebrity's roll.
For the associative ability of robot, the specific reality of the robot reasoning association method of the present embodiment knowledge based collection of illustrative plates
Existing process is as follows:
In knowledge mapping, the subgraph corresponding to target entity is determined, here, target entity is an entity.
Subgraph corresponding to target entity determines the reachability relation of target entity.
According to the reachability relation of target entity, association is generated as a result, being fed back.
For example, robot be also required to natural language input by user carry out Entity recognition, it is extensive with link, user is defeated
Then entity relationship in the entity and knowledge mapping that enter selects a reachable relationship in the subgraph of the entity, into
Row feedback output.
Here, being directed to a pending entity, the robot reasoning association method energy of the present embodiment knowledge based collection of illustrative plates
Association is enough carried out, generates the association of the entity as a result, being fed back.
Specifically, when feeding back the reasoning results, the robot reasoning association method of the present embodiment knowledge based collection of illustrative plates can
In the form of natural language, fed back, it is user-friendly, user experience is improved, the specific implementation process is as follows:
After the reachability relation for determining specified number of skips, before generating association's result, according to syntax rule, by specified jump
The reachability relation of jump number is converted to natural language.
When generating association's result, using transformed natural language as association's result.
For example, user is to robot input, " how you feel grape”
The first step recognizes " grape " this entity in user's question sentence after robot recognizes user's input.
Second step, " grape " this entity and " grape " in knowledge mapping is extensive, corresponding.
Third walks, and extracts the corresponding subgraph of " grape " entity in knowledge mapping, and return to a reachable relationship in subgraph,
The result returned in this example may be as follows:
4th step generates the feedback for returning to user, such as according to the relationship of return based on natural language rule:Grape is made
For a kind of fruit having skin, food materials can be used as, it is very nutritious.
In order to further increase the accuracy of the reasoning results, the reasoning association side of robot of the present embodiment knowledge based collection of illustrative plates
Method can screen reachability relation, the specific implementation process is as follows:
After the reachability relation for determining target entity, before generating association's result, every reachability relation and corresponding son are calculated
The score of figure, score are the numerical value for characterizing validity degree between reachability relation and corresponding subgraph, can indicate relationship or subgraph
Credibility, authenticity, validity, importance etc..
According to the score of calculating, specified reachability relation is screened.
According to syntax rule, the reachability relation filtered out is converted into natural language.
When generating association's result, using transformed natural language as association's result.
If here, when returning to more relationship, more complicated subgraph, the robot of the present embodiment knowledge based collection of illustrative plates pushes away
Reason association method can be screened according to score, is determined the higher relationship of accuracy, is re-used as natural language, is fed back.
Specifically, in terms of knowledge mapping update, the robot reasoning association method of the present embodiment knowledge based collection of illustrative plates, energy
It is enough that fast and accurately knowledge mapping is updated, the specific implementation process is as follows:
After identifying the corresponding target entity of pending entity, before the reachability relation for determining target entity, determines and provide
The knowledge mapping of subgraph.
According to the update information of pre-acquiring, the knowledge mapping to providing subgraph is updated.
In actual application, the relationship that may be preserved in knowledge mapping is wrong, meeting during being exchanged with user
Pointed out by user, thus need to be updated knowledge mapping, return to relationship and when subgraph, can return simultaneously relationship and
The source of subgraph, even if needing accurately obtain needs newer knowledge mapping if the knowledge mapping inquired there are multiple.
Second aspect, the embodiment of the present invention provides a kind of reasoning association of robot device of knowledge based collection of illustrative plates, in conjunction with figure
2, which includes acquiring unit 1, recognition unit 2 and feedback unit 3, and acquiring unit 1 is for obtaining pending entity.Identification is single
Member 2 is in knowledge mapping, identifying the corresponding target entity of pending entity.Feedback unit 3 is for determining target entity
Reachability relation is fed back.
As shown from the above technical solution, device, energy are associated in the robot reasoning of knowledge based collection of illustrative plates provided in this embodiment
Enough by knowledge mapping, determines target entity corresponding with pending entity, and then obtain target entity reachability relation, realize machine
The reasoning of device people and associative ability.
The third aspect, a kind of flight boarding gate of present invention offer most preferably issue the moment and seek equipment, which includes:At least
One processor, at least one processor and computer program instructions stored in memory, work as computer program instructions
The robot reasoning association method of above-mentioned knowledge based collection of illustrative plates is realized when being executed by processor.
Flight boarding gate provided in this embodiment most preferably issues the moment and seeks equipment, the machine with above-mentioned knowledge based collection of illustrative plates
People's reasoning association method is for identical inventive concept, advantageous effect having the same.
Fourth aspect, the present invention provide a kind of computer readable storage medium, are stored thereon with computer program instructions, when
The robot reasoning association method of above-mentioned knowledge based collection of illustrative plates is realized when computer program instructions are executed by processor.
Computer readable storage medium provided in this embodiment, the reasoning association side of robot with above-mentioned knowledge based collection of illustrative plates
Method is for identical inventive concept, advantageous effect having the same.
In the specification of the present invention, numerous specific details are set forth.It is to be appreciated, however, that the embodiment of the present invention can be with
It puts into practice without these specific details.In some instances, well known method, structure and skill is not been shown in detail
Art, so as not to obscure the understanding of this description.
In the description of this specification, reference term " one embodiment ", " some embodiments ", " example ", " specifically show
The description of example " or " some examples " etc. means specific features, structure, material or spy described in conjunction with this embodiment or example
Point is included at least one embodiment or example of the invention.In the present specification, schematic expression of the above terms are not
It must be directed to identical embodiment or example.Moreover, particular features, structures, materials, or characteristics described can be in office
It can be combined in any suitable manner in one or more embodiments or example.In addition, without conflicting with each other, the skill of this field
Art personnel can tie the feature of different embodiments or examples described in this specification and different embodiments or examples
It closes and combines.
Finally it should be noted that:The above embodiments are only used to illustrate the technical solution of the present invention., rather than its limitations;To the greatest extent
Present invention has been described in detail with reference to the aforementioned embodiments for pipe, it will be understood by those of ordinary skill in the art that:Its according to
So can with technical scheme described in the above embodiments is modified, either to which part or all technical features into
Row equivalent replacement;And these modifications or replacements, various embodiments of the present invention technology that it does not separate the essence of the corresponding technical solution
The range of scheme should all cover in the claim of the present invention and the range of specification.
Claims (10)
1. a kind of robot reasoning association method of knowledge based collection of illustrative plates, which is characterized in that including:
Obtain pending entity;
In knowledge mapping, the corresponding target entity of pending entity is identified;
The reachability relation for determining the target entity, is fed back.
2. the robot reasoning association method of knowledge based collection of illustrative plates according to claim 1, which is characterized in that in knowledge mapping
In, identify the corresponding target entity of pending entity, including:
Extensive operation is carried out to the pending entity, generates extensive result;
In knowledge mapping, according to described extensive as a result, identifying target entity corresponding with the processing entities.
3. the robot reasoning association method of knowledge based collection of illustrative plates according to claim 1, which is characterized in that obtain pending
Entity, including:
Obtain at least two entities;
The reachability relation for determining the target entity, is fed back, including:
In knowledge mapping, using each target entity as starting point, determines the reachability relation of specified number of skips, generate
The reasoning results are fed back.
4. the robot reasoning association method of knowledge based collection of illustrative plates according to claim 3, which is characterized in that determine specified jump
It jumps after the reachability relation of number, before generating the reasoning results, this method further includes:
According to syntax rule, the reachability relation of the specified number of skips is converted into natural language;
The reasoning results are generated, including:
Using transformed natural language as the reasoning results.
5. the robot reasoning association method of knowledge based collection of illustrative plates according to claim 1, which is characterized in that determine the mesh
The reachability relation for marking entity, is fed back, including:
In knowledge mapping, determine that the subgraph corresponding to the target entity, the target entity are an entity;
According to the subgraph corresponding to the target entity, the reachability relation of target entity is determined;
According to the reachability relation of target entity, association is generated as a result, being fed back.
6. the robot reasoning association method of knowledge based collection of illustrative plates according to claim 5, which is characterized in that determine target reality
After the reachability relation of body, before generating association's result, this method further includes:
The score of every reachability relation and corresponding subgraph is calculated, score is validity journey between characterization reachability relation and corresponding subgraph
The numerical value of degree;
According to the score of calculating, specified reachability relation is screened;
According to syntax rule, the reachability relation filtered out is converted into natural language;
Association is generated as a result, including:
Using transformed natural language as association's result.
7. the robot reasoning association method of knowledge based collection of illustrative plates according to claim 5, which is characterized in that identification is pending
After the corresponding target entity of entity, before the reachability relation for determining target entity, this method further includes:
Determine the knowledge mapping that subgraph is provided;
According to the update information of pre-acquiring, the knowledge mapping to providing subgraph is updated.
8. device is associated in a kind of robot reasoning of knowledge based collection of illustrative plates, which is characterized in that including:
Acquiring unit, for obtaining pending entity;
Recognition unit, in knowledge mapping, identifying the corresponding target entity of pending entity;
Feedback unit, the reachability relation for determining the target entity, is fed back.
9. equipment is associated in a kind of robot reasoning of knowledge based collection of illustrative plates, which is characterized in that including:At least one processor, extremely
A few memory and the computer program instructions being stored in the memory, when the computer program instructions are described
The method as described in any one of claim 1-7 is realized when processor executes.
10. a kind of computer readable storage medium, is stored thereon with computer program instructions, which is characterized in that when the calculating
The method as described in any one of claim 1-7 is realized when machine program instruction is executed by processor.
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