CN106663130A - A question and answer method, system and robot - Google Patents
A question and answer method, system and robot Download PDFInfo
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- CN106663130A CN106663130A CN201680001742.3A CN201680001742A CN106663130A CN 106663130 A CN106663130 A CN 106663130A CN 201680001742 A CN201680001742 A CN 201680001742A CN 106663130 A CN106663130 A CN 106663130A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/903—Querying
- G06F16/9032—Query formulation
- G06F16/90332—Natural language query formulation or dialogue systems
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/951—Indexing; Web crawling techniques
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- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
Abstract
A question and answer method comprises the following steps: obtaining question information; inputting the question information to a mapping knowledge domain so as to query an answer; inputting the question information into community data so as to search the answer if the answer cannot be found in the mapping knowledge domain; inputting the question information into internet data so as to search the answer if the answer cannot be found in the community data. The question and answer based on the mapping knowledge domain is high in accuracy; the question and answer based on community data is high in coverage rate; the question and answer based on internet data is higher in coverage rate; the method can combine these features, thus improving question and answer coverage rate and accuracy, and enlarging the question and answer method application scope and universality.
Description
Technical field
The present invention relates to robot interactive technical field, more particularly to a kind of answering method, system and robot.
Background technology
With the development of society and science and technology, robot is more and more applied in work, the life communication with the mankind, people
Class can to robot propose problem, robot after a series of process to human back multiple junction fruit, similar to person to person's ditch
Logical process.In order to allow robot more to personalize during linking up with people, the field really linked up with people is more simulated
Scape, people explore a variety of methods, but in existing question answering system, there are the not high feelings of the answer accuracy rate of answer
Condition.
Therefore, how to provide a kind of answer accuracy of answer higher answering method, the technology for becoming urgent need to resolve is asked
Topic.
The content of the invention
It is an object of the invention to provide a kind of answering method of the higher answering method of the answer accuracy of answer, system and
Robot.
The purpose of the present invention is achieved through the following technical solutions：
A kind of answering method, including：
Obtain question information；
Question information is input in knowledge mapping and inquires about answer；
If not inquiring answer in knowledge mapping, question information is input in community data and inquires about answer；
If not inquiring answer in community data, question information is input in internet data and inquires about answer.
Preferably, methods described is further included：
If inquiring answer in knowledge mapping, terminate inquiry.
Preferably, methods described is further included：
If inquiring answer in community data, terminate inquiry.
Preferably, it is described by question information be input in knowledge mapping inquire about answer the step of specifically include：
Question information is carried out into cutting；
Result after cutting is searched respectively in knowledge mapping intermediate result；
Intermediate result is input in database and obtains emotion deflection, answer is obtained according to emotion deflection.
Preferably, it is described by question information be input in community data inquire about answer the step of specifically include：
Question information is carried out into cutting；
Result after cutting is searched respectively in community data intermediate result；
Intermediate result is compared with default characteristic information, answer is obtained according to comparative result.
Preferably, it is described by question information be input in internet data inquire about answer the step of specifically include：
Question information is carried out into cutting；
Result after cutting is searched respectively in internet data intermediate result；
Answer is obtained after intermediate result is combined according to language rule.
The present invention discloses a kind of question answering system, including：
Acquisition module, for obtaining question information；
Knowledge mapping module, for question information to be input in knowledge mapping answer is inquired about；
Community data module, if for not inquiring answer in knowledge mapping, question information is input to into community's number
According to middle inquiry answer；
Internet data module, if for not inquiring answer in community data, question information is input to into interconnection
Answer is inquired about in network data.
Preferably, the system includes that first terminates module, if for inquiring answer in knowledge mapping, termination is looked into
Ask.
Preferably, the system includes that second terminates module, if inquiring answer in community data, terminates inquiry.
Preferably, the knowledge mapping module specifically for：
Question information is carried out into cutting；
Result after cutting is searched respectively in knowledge mapping intermediate result；
Intermediate result is input in database and obtains emotion deflection, answer is obtained according to emotion deflection.
Preferably, the community data module specifically for：
Question information is carried out into cutting；
Result after cutting is searched respectively in community data intermediate result；
Intermediate result is compared with default characteristic information, answer is obtained according to comparative result.
Preferably, the internet data module specifically for：
Question information is carried out into cutting；
Result after cutting is searched respectively in internet data intermediate result；
Answer is obtained after intermediate result is combined according to language rule..
The present invention discloses a kind of robot, including arbitrary described a kind of question answering system as described above.
Compared to existing technology, the present invention has advantages below：A kind of answering method disclosed by the invention includes：Obtain and put question to
Information；Question information is input in knowledge mapping and inquires about answer；If not inquiring answer in knowledge mapping, letter will be putd question to
Breath is input in community data inquires about answer；If not inquiring answer in community data, question information is input to into interconnection
Answer is inquired about in network data.Thus question information can be first inputted to inquire about answer in knowledge mapping, if inquired,
User is exactly fed back to, if do not inquired, then will continue to be inquired about in community data, if inquired, just feed back
To user, if do not inquired, that will continue to be inquired about in internet data, if inquiring and feeding back to user.This
Sample just can with reference to the accuracy rate of the question and answer of knowledge based collection of illustrative plates it is high the characteristics of, the coverage rate based on the question and answer of community data is higher
The characteristics of, the coverage rate and accuracy rate of question and answer are improved the characteristics of the coverage rate based on the question and answer of internet data is higher, expand
The scope of application and versatility of answering method.
Description of the drawings
Fig. 1 is a kind of flow chart of the generation method of robot interactive content of the embodiment of the present invention one；
Fig. 2 is a kind of schematic diagram of the generation system of robot interactive content of the embodiment of the present invention two.
Specific embodiment
Although operations to be described as flow chart the process of order, many of which operation can by concurrently,
Concomitantly or while implement.The order of operations can be rearranged.Processing when its operations are completed to be terminated,
It is also possible to have the additional step being not included in accompanying drawing.Process can correspond to method, function, code, subroutine, son
Program etc..
Computer equipment includes user equipment and the network equipment.Wherein, user equipment or client include but is not limited to electricity
Brain, smart mobile phone, PDA etc.；The network equipment includes but is not limited to single network server, the service of multiple webservers composition
Device group or the cloud being made up of a large amount of computers or the webserver based on cloud computing.Computer equipment can isolated operation realizing
The present invention, also can access network and by with network in other computer equipments interactive operation realizing the present invention.Calculate
Network residing for machine equipment includes but is not limited to internet, wide area network, Metropolitan Area Network (MAN), LAN, VPN etc..
May have been used term " first ", " second " etc. here to describe unit, but these units should not
When limited by these terms, it is used for the purpose of making a distinction a unit and another unit using these terms.Here institute
The term "and/or" for using includes any and all combination of one of them or more listed associated items.When one
Unit is referred to as " connection " or during " coupled " to another unit, and it can be connected or coupled to another unit, or
There may be temporary location.
Term used herein above is not intended to limit exemplary embodiment just for the sake of description specific embodiment.Unless
Context clearly refers else, and singulative " one " otherwise used herein above, " one " also attempt to include plural number.Should also
When being understood by, term " including " used herein above and/or "comprising" specify stated feature, integer, step, operation,
The presence of unit and/or component, and do not preclude the presence or addition of one or more other features, integer, step, operation, unit,
Component and/or its combination.
Below in conjunction with the accompanying drawings the invention will be further described with preferred embodiment.
Embodiment one
As shown in figure 1, a kind of answering method disclosed in the present embodiment, including：
S101, acquisition question information；
S102, question information is input in knowledge mapping and inquires about answer；
If S103, in knowledge mapping not inquiring answer, question information is input in community data and inquires about answer；
If S104, not inquiring in community data answer, question information is input to into inquiry in internet data and is answered
Case.
A kind of answering method disclosed by the invention includes：Obtain question information；Question information is input in knowledge mapping
Inquiry answer；If not inquiring answer in knowledge mapping, question information is input in community data and inquires about answer；If
Answer is not inquired in community data, then question information is input in internet data and is inquired about answer.Thus will can carry
The information of asking is first inputted to inquire about answer in knowledge mapping, if inquired, exactly feeds back to user, if do not inquired,
So will continue to be inquired about in community data, if inquired, just feed back to user, if do not inquired, that will be after
Continue in internet data and inquire about, if inquiring and feeding back to user.Thus can be with reference to the question and answer of knowledge based collection of illustrative plates
Accuracy rate it is high the characteristics of, the question and answer the characteristics of coverage rate based on the question and answer of community data is higher, based on internet data
The characteristics of coverage rate is higher expands the scope of application and versatility of answering method improving the coverage rate and accuracy rate of question and answer.
In the present embodiment, the question and answer (WEB-QA, web question answering) based on internet data, based on society
The question and answer (C-QA, community question answering) of area's data, knowledge based collection of illustrative plates question and answer (KB-QA,
Knowledge based question answering) these three question and answer method and system in, be standard the characteristics of KB-QA
The characteristics of true rate highest, but coverage rate is minimum, C-QA is that accuracy rate time is high, but coverage rate is higher, is the characteristics of WEB-QA
Accuracy rate is minimum, but coverage rate highest.The present embodiment can increase the accuracy rate of question and answer and cover by the way that three is effectively combined
Lid rate.
According to one of example, methods described is further included：If inquiring answer in knowledge mapping, termination is looked into
Ask.Thus can just terminate inquiry after answer is found with save resources and time, facilitate user to get in time and answer
Case.
According to one of example, methods described is further included：If inquiring answer in community data, termination is looked into
Ask.Thus can just terminate inquiry after answer is found with save resources and time, facilitate user to get in time and answer
Case.
According to other in which example, it is described by question information be input in knowledge mapping inquire about answer the step of specifically wrap
Include：
Question information is carried out into cutting；
Result after cutting is searched respectively in knowledge mapping intermediate result；
Intermediate result is input in database and obtains emotion deflection, answer is obtained according to emotion deflection.
Answer thus fast, easily can be found in knowledge mapping.
According to other in which example, it is described by question information be input in community data inquire about answer the step of specifically wrap
Include：
Question information is carried out into cutting；
Result after cutting is searched respectively in community data intermediate result；
Intermediate result is compared with default characteristic information, answer is obtained according to comparative result.
Thus fast, easily can find answer in community data, community data such as " Baidu is known ",
Communities such as " knowing ".
According to other in which example, it is described by question information be input in internet data inquire about answer the step of it is concrete
Including：
Question information is carried out into cutting；
Result after cutting is searched respectively in internet data intermediate result；
Answer is obtained after intermediate result is combined according to language rule.
Answer thus fast, easily can be found in knowledge mapping.
For example, the problem of " it is good-looking that I wears this part clothes " that user proposes.
So Step1：Inquire about in KB-QA, the hobby of " I ", mood, pattern, color of clothes etc., then basis is obtained
The preference of the people for taking and the feature of clothes are good-looking or ugly to judge, so as to obtain answer.
Step2：If inquired about in KB-QA less than the just inquiry in C-QA.For example, whether there is the inclined of " me " on knowing
Good information, and whether have the data of clothes, purpose is exactly the feature for obtaining " I ", and the feature of " clothes " then judges it is good-looking
Or it is ugly, so as to obtain answer.
Step3：For this problem, it is clear that web-QA is inappropriate.Because web-QA does not have the data of " I ",
Answer would not be inquired about in web-QA.
Embodiment two
As shown in Fig. 2 the present embodiment discloses a kind of question answering system, including：
Acquisition module 201, for obtaining question information；
Knowledge mapping module 202, for question information to be input in knowledge mapping answer is inquired about；
Community data module 203, if for not inquiring answer in knowledge mapping, question information is input to into community
Answer is inquired about in data；
Internet data module 204, if for not inquiring answer in community data, question information is input to mutually
Answer is inquired about in networking data.
Thus question information can be first inputted to inquire about answer in knowledge mapping, if inquired, exactly be fed back
To user, if do not inquired, then will continue to be inquired about in community data, if inquired, just feed back to user, such as
Fruit does not inquire, and that will continue to be inquired about in internet data, if inquiring and feeding back to user.Thus can tie
Close the question and answer of knowledge based collection of illustrative plates accuracy rate it is high the characteristics of, the characteristics of the coverage rate based on the question and answer of community data is higher, base
The coverage rate and accuracy rate of question and answer are improved the characteristics of the coverage rate of the question and answer of internet data is higher, expands answering method
The scope of application and versatility.
In the present embodiment, the question and answer (WEB-QA, web question answering) based on internet data, based on society
The question and answer (C-QA, community question answering) of area's data, knowledge based collection of illustrative plates question and answer (KB-QA,
Knowledge based question answering) these three question and answer method and system in, be standard the characteristics of KB-QA
The characteristics of true rate highest, but coverage rate is minimum, C-QA is that accuracy rate time is high, but coverage rate is higher, is the characteristics of WEB-QA
Accuracy rate is minimum, but coverage rate highest.The present embodiment can increase the accuracy rate of question and answer and cover by the way that three is effectively combined
Lid rate.
According to one of example, the system includes that first terminates module, if answering for inquiring in knowledge mapping
Case, then terminate inquiry.Thus can just terminate inquiry after answer is found with save resources and time, facilitate user and
When get answer.
According to other in which example, the system includes that second terminates module, if inquiring answer in community data,
Then terminate inquiry.Thus can just terminate inquiry after answer is found with save resources and time, facilitate user timely
Get answer.
According to other in which example, the knowledge mapping module specifically for：
Question information is carried out into cutting；
Result after cutting is searched respectively in knowledge mapping intermediate result；
Intermediate result is input in database and obtains emotion deflection, answer is obtained according to emotion deflection.
Answer thus fast, easily can be found in knowledge mapping.
According to other in which example, the community data module specifically for：
Question information is carried out into cutting；
Result after cutting is searched respectively in community data intermediate result；
Intermediate result is compared with default characteristic information, answer is obtained according to comparative result.
Thus fast, easily can find answer in community data, community data such as " Baidu is known ",
Communities such as " knowing ".
According to other in which example, the internet data module specifically for：
Question information is carried out into cutting；
Result after cutting is searched respectively in internet data intermediate result；
Answer is obtained after intermediate result is combined according to language rule.
Answer thus fast, easily can be found in knowledge mapping.
For example, the problem of " it is good-looking that I wears this part clothes " that user proposes.
So Step1：Inquire about in KB-QA, the hobby of " I ", mood, pattern, color of clothes etc., then basis is obtained
The preference of the people for taking and the feature of clothes are good-looking or ugly to judge, so as to obtain answer.
Step2：If inquired about in KB-QA less than the just inquiry in C-QA.For example, whether there is the inclined of " me " on knowing
Good information, and whether have the data of clothes, purpose is exactly the feature for obtaining " I ", and the feature of " clothes " then judges it is good-looking
Or it is ugly, so as to obtain answer.
Step3：For this problem, it is clear that web-QA is inappropriate.Because web-QA does not have the data of " I ",
Answer would not be inquired about in web-QA.
The present invention discloses a kind of robot, including arbitrary described a kind of question answering system as described above.
Above content is to combine specific preferred embodiment further description made for the present invention, it is impossible to assert
The present invention be embodied as be confined to these explanations.For general technical staff of the technical field of the invention,
On the premise of without departing from present inventive concept, some simple deduction or replace can also be made, should all be considered as belonging to the present invention's
Protection domain.
Claims (13)
1. a kind of answering method, it is characterised in that include：
Obtain question information；
Question information is input in knowledge mapping and inquires about answer；
If not inquiring answer in knowledge mapping, question information is input in community data and inquires about answer；
If not inquiring answer in community data, question information is input in internet data and inquires about answer.
2. answering method according to claim 1, it is characterised in that methods described is further included：
If inquiring answer in knowledge mapping, terminate inquiry.
3. answering method according to claim 1, it is characterised in that methods described is further included：
If inquiring answer in community data, terminate inquiry.
4. answering method according to claim 1, it is characterised in that described question information is input in knowledge mapping is looked into
The step of asking answer specifically includes：
Question information is carried out into cutting；
Result after cutting is searched respectively in knowledge mapping intermediate result；
Intermediate result is input in database and obtains emotion deflection, answer is obtained according to emotion deflection.
5. answering method according to claim 1, it is characterised in that described question information is input in community data is looked into
The step of asking answer specifically includes：
Question information is carried out into cutting；
Result after cutting is searched respectively in community data intermediate result；
Intermediate result is compared with default characteristic information, answer is obtained according to comparative result.
6. answering method according to claim 1, it is characterised in that described that question information is input in internet data
The step of inquiry answer, specifically includes：
Question information is carried out into cutting；
Result after cutting is searched respectively in internet data intermediate result；
Answer is obtained after intermediate result is combined according to language rule.
7. a kind of question answering system, it is characterised in that include：
Acquisition module, for obtaining question information；
Knowledge mapping module, for question information to be input in knowledge mapping answer is inquired about；
Community data module, if for not inquiring answer in knowledge mapping, question information is input in community data
Inquiry answer；
Internet data module, if for not inquiring answer in community data, question information is input to into interconnection netting index
According to middle inquiry answer.
8. question answering system according to claim 7, it is characterised in that the system includes that first terminates module, if for
Answer is inquired in knowledge mapping, then terminates inquiry.
9. question answering system according to claim 7, it is characterised in that the system includes that second terminates module, if in society
Answer is inquired in area's data, then terminates inquiry.
10. question answering system according to claim 7, it is characterised in that the knowledge mapping module specifically for：
Question information is carried out into cutting；
Result after cutting is searched respectively in knowledge mapping intermediate result；
Intermediate result is input in database and obtains emotion deflection, answer is obtained according to emotion deflection.
11. question answering systems according to claim 7, it is characterised in that the community data module specifically for：
Question information is carried out into cutting；
Result after cutting is searched respectively in community data intermediate result；
Intermediate result is compared with default characteristic information, answer is obtained according to comparative result.
12. question answering systems according to claim 7, it is characterised in that the internet data module specifically for：
Question information is carried out into cutting；
Result after cutting is searched respectively in internet data intermediate result；
Answer is obtained after intermediate result is combined according to language rule..
13. a kind of robots, it is characterised in that include a kind of question answering system as described in claim 7 to 12 is arbitrary.
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| PCT/CN2016/087767 WO2018000277A1 (en) | 2016-06-29 | 2016-06-29 | Question and answer method and system, and robot |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN106663130A true CN106663130A (en) | 2017-05-10 |
Family
ID=58838445
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201680001742.3A Pending CN106663130A (en) | 2016-06-29 | 2016-06-29 | A question and answer method, system and robot |
Country Status (2)
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| WO (1) | WO2018000277A1 (en) |
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| CN106997399A (en) * | 2017-05-24 | 2017-08-01 | 海南大学 | A kind of classification question answering system design method that framework is associated based on data collection of illustrative plates, Information Atlas, knowledge mapping and wisdom collection of illustrative plates |
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| CN108763494A (en) * | 2018-05-30 | 2018-11-06 | 苏州思必驰信息科技有限公司 | Knowledge Sharing method, dialogue method and device between conversational system |
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| CN109710748A (en) * | 2019-01-17 | 2019-05-03 | 北京光年无限科技有限公司 | It is a kind of to draw this reading exchange method and system towards intelligent robot |
| CN109933655A (en) * | 2019-02-15 | 2019-06-25 | 深圳前海道己社文化有限公司 | Resource intelligent interconnection method, device and terminal device based on social application program |
| CN110222127A (en) * | 2019-06-06 | 2019-09-10 | 中国电子科技集团公司第二十八研究所 | The converging information method, apparatus and equipment of knowledge based map |
| CN111143540B (en) * | 2020-04-03 | 2020-07-21 | 腾讯科技（深圳）有限公司 | Intelligent question and answer method, device, equipment and storage medium |
| CN111143540A (en) * | 2020-04-03 | 2020-05-12 | 腾讯科技（深圳）有限公司 | Intelligent question and answer method, device, equipment and storage medium |
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