CN106844506A - The knowledge retrieval method and the automatic improving method of knowledge base of a kind of artificial intelligence dialogue - Google Patents
The knowledge retrieval method and the automatic improving method of knowledge base of a kind of artificial intelligence dialogue Download PDFInfo
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- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/25—Integrating or interfacing systems involving database management systems
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- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
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Abstract
The invention provides the knowledge retrieval method and the automatic improving method of database of a kind of dialogue of artificial intelligence, wherein, a kind of knowledge retrieval method of artificial intelligence dialogue is comprised the following steps：Step 1：Obtain the problem sentence of user；Step 2：The meaning of one's words is carried out to described problem sentence and is intended to analyze, obtain problem identification；Step 3：Identified according to described problem, local answer is searched in local knowledge base；Step 4：Local answer is obtained, local answer data is integrated and user is replied to；Step 5：When local answer is not searched in local knowledge base, identified according to described problem, strange land answer is searched in data source；Step 6：Strange land answer is obtained, the strange land answer is integrated and user is replied to；When local knowledge base does not have resource, strange land answer is searched in data source, it is to avoid because knowledge mapping the entity amount of covering not enough, in human-computer dialogue, the occurrence of robot cannot provide answer.
Description
Technical field
The present invention relates to computer application field, and in particular to a kind of the knowledge retrieval method and knowledge of artificial intelligence dialogue
The automatic improving method in storehouse.
Background technology
It is a large amount of in natural language to have to the description of all kinds of events in human lives that (small to one action, goes through greatly to one
Historical event part), while the time, place, the role for participating in, the content etc. the relation between state and event that are also produced including event
With the description of feature.With the rise of internet correlation technique, people more and more depend on network to obtain information, and mutual
The information of networking shows magnanimity, increases severely and the characteristic such as redundancy, in order to be able to more preferable monitoring and uses information therein, allows machine
The event in text can be analyzed, event-oriented Sentence analysis research seems more and more important, and this is related to slowly emerging at present
Rise artificial intelligence dialog procedure it is interactive.
Artificial intelligence conversational system containing knowledge mapping, is its many tool than the advantage of the conversational system of traditional data retrieval
For the answer ability in terms of knowledge and general knowledge.People can be experienced when being chatted with this kind of artificial intelligence conversational system robot and
People is the same to remember knowledge, understand knowledge, merely knowledge.Wherein, knowledge mapping, also referred to as mapping knowledge domains, it will be by that will apply
The theoretical and method and meterological citation analysis, co-occurrence point of the subjects such as mathematics, graphics, Information Visualization Technology, information science
The methods such as analysis are combined, and using visual collection of illustrative plates visually show the core texture of subject, developing history, Disciplinary Frontiers and
Overall Knowledge framework reaches the modern theory of Multidisciplinary Integration purpose.For disciplinary study provides practical, valuable reference.
The knowledge class question and answer limited mass of this kind of artificial intelligence conversational system is in the entity amount of covering of its knowledge mapping, knowledge
The renewal frequency excavated and find.
(1) not enough, when causing human-computer dialogue, the relevant knowledge robot that user asks cannot for the entity amount of covering of knowledge mapping
Provide answer；
(2) knowledge excavation with the renewal frequency for finding not enough, causes emerging knowledge in human-computer dialogue, and robot also cannot
Provide answer.
The content of the invention
For defect of the prior art, the present invention provides a kind of the knowledge retrieval method and knowledge base of artificial intelligence dialogue
Automatic improving method, so that artificial intelligence dialogue becomes more efficient, while improving the knowledge quantity of knowledge base.
A kind of knowledge retrieval method of artificial intelligence dialogue, it is it is critical that comprise the following steps：
Step 1：Obtain the problem sentence of user；
Step 2：The meaning of one's words is carried out to described problem sentence and is intended to analyze, obtain problem identification；
Step 3：Identified according to described problem, local answer is searched in local knowledge base；
Step 4：Local answer is obtained, local answer data is integrated and user is replied to；
Step 5：When local answer is not searched in local knowledge base, identified according to described problem, searched in data source
The answer of rope strange land；
Step 6：Strange land answer is obtained, the strange land answer is integrated and user is replied to.
More preferably to realize the present invention, may further be：The data source includes file, third party's knowledge base and network money
Source.
Optionally：After the step 6 is specifically, obtain strange land answer, the meaning of one's words is carried out to strange land answer and is intended to analyze, when
The attribute of the strange land answer is declarative sentence, or during for intellectual answer, the strange land answer is integrated and user is replied to.
Optionally：The meaning of one's words and intention analysis are for judging the speech performance attribute of sentence and being intended to attribute.
Based on artificial intelligence dialogue real time knowledge search method the automatic improving method of knowledge base, itself it is critical that
Step 11：When local answer is not searched in the local knowledge base, using described problem sentence as seed
Information；
Step 12：The seed information is transmitted to reptile engine；
Step 13：Obtain the data that the reptile engine is captured in the data source；
Step 14：The data are stored in the local knowledge base.
Optionally, the step 14 also includes, the data is carried out with the meaning of one's words and is intended to analyze, when the attribute of the data
It is declarative sentence, or during for intellectual answer, the data is stored in the local knowledge base；It is no, then the data are deleted
Remove.
The automatic improving method of knowledge base of the knowledge retrieval method based on a kind of dialogue of artificial intelligence, it is it is critical that bag
Include following steps,
Step 11：When local answer is not searched in the local knowledge base, using described problem sentence as seed
Information；
Step 12：The seed information is transmitted to reptile engine；
Step 13：Obtain the data that the reptile engine is captured in the data source；
Step 14：The data are stored in the local knowledge base.
More preferably to realize the present invention, may further be, the data are carried out with the meaning of one's words and is intended to analyze, when the data
Attribute is declarative sentence, or during for intellectual answer, the data is stored in the local knowledge base；It is no, then by the number
According to deletion, i.e., described data return to user not as answer, are not also stored in local data base.
Beneficial effects of the present invention：When local knowledge base does not have resource, strange land answer is searched in data source, it is to avoid because
The entity amount of covering of knowledge mapping not enough, in human-computer dialogue, the occurrence of robot cannot provide answer；In addition, in number
According to the resource related to problem of crawl in source, and it is stored in local knowledge base, it is to avoid because of knowledge excavation with the renewal for finding frequently
Rate not enough, emerging knowledge in human-computer dialogue, the occurrence of robot cannot also provide answer.
Brief description of the drawings
Fig. 1 shows flow chart of the invention.
Specific embodiment
The embodiment of technical solution of the present invention is described in detail below in conjunction with accompanying drawing.Following examples are only used for
Technical scheme is clearly illustrated, therefore is intended only as example, and protection of the invention can not be limited with this
Scope.
As shown in figure 1, being the knowledge retrieval method and the flow of the automatic improving method of knowledge base of a kind of dialogue of artificial intelligence
Figure, core of the invention is divided into two parts, and one is real time knowledge retrieval, and two is to improve treatment more to the automatic of knowledge mapping storehouse
New system.When user and robot chat, first customer problem is intended to by the meaning of one's words to analyze, then goes in local knowledge base to enter
Row inquiry, conversational system can answer the knowledge entity entry lacked in original knowledge mapping storehouse, while can also carry this user
The knowledge storage storage asked, inquires the problem of correlation, it is possible to result is directly retrieved from knowledge base again after user, also complete
It has been apt to the storage level of knowledge base.Wherein, a kind of knowledge retrieval method of artificial intelligence dialogue is comprised the following steps：
Step 1：Obtain the problem sentence of user；
Step 2：The meaning of one's words is carried out to described problem sentence and is intended to analyze, obtain problem identification；
Step 3：Identified according to described problem, local answer is searched in local knowledge base；
Step 4：Local answer is obtained, local answer data is integrated and user is replied to；
Step 5：When local answer is not searched in local knowledge base, identified according to described problem, searched in data source
The answer of rope strange land；
Step 6：Strange land answer is obtained, the strange land answer is integrated and user is replied to.
More than, the data source includes file, third party's knowledge base and Internet resources；The step 6 is specifically, obtain different
After ground answer, the meaning of one's words is carried out to strange land answer and is intended to analyze, when the attribute of the strange land answer is declarative sentence, or be knowledge
During property answer, the strange land answer is integrated and user is replied to.Here the meaning of one's words and intention analysis is used to judge the speech of sentence
Language behavior property and intention attribute.
The automatic improving method of knowledge base of the knowledge retrieval method based on a kind of dialogue of artificial intelligence is comprised the following steps, and is walked
Rapid 11：When local answer is not searched in the local knowledge base, using described problem sentence as seed information；
Step 12：The seed information is transmitted to reptile engine；
Step 13：Obtain the data that the reptile engine is captured in the data source；
Step 14：The data are stored in the local knowledge base.
More than, the step 14 also includes, the data is carried out with the meaning of one's words and is intended to analyze, when the attribute of the data is
Declarative sentence, or during for intellectual answer, the data are stored in the local knowledge base；It is no, then the data are deleted,
I.e. described data return to user not as answer, are not also stored in local data base.Here when us, to obtain one or more standby
, it is necessary to it is to analyze their own " speech performance, it is intended that " to do " meaning of one's words, it is intended that analysis " when choosing is answered, due to needing in flow chart
Alternatively to answer as customer problem answer return, therefore needed herein be standard as declarative sentence class " knowledge is answered "
OK.
On two above invention, in artificial intelligence chat system, the meaning of one's words and intention analysis are main comprising two classification
Device, speech performance grader and intent classifier.
Whether speech performance grader refers to judge be in short " question sentence for asking information ", such as " can introduce lower Yao Ming
"；" asking the question sentence of opinion ", such as " today hold up an umbrella OK "；" class of expressing wishes declarative sentence ", " expression hobby class statement
Sentence ", " declarative sentence of expression of opinion class ", " common declarative sentence ", " affirmative acknowledgement (ACK) ", " negative acknowledge ", " unclear answer " is " anti-
Question sentence ", " complaint criticize class ", " apology ", " thanks ", " praise ", " dialogue prologue ", " terminating dialogue " etc..
Whether intent classifier refers to judge be in short " chat ", such as " today, weather was pretty good "；" knowledge is asked ", such as
" which the main representative works of Zhou Jielun have "；" knowledge is answered ", such as " representative works of Zhou Jielun have《Double-cut stick》,《Superman
Will not fly》”；" feature music class is asked ", such as " put a piece of music " to me；" feature ticket booking is asked ", such as " help me to stipulate
Its Pekinese's guaranteed votes high of early getting on " etc..
Artificial intelligence conversational system containing knowledge mapping, is its many tool than the advantage of the conversational system of traditional data retrieval
For the answer ability in terms of knowledge and general knowledge.People can be experienced when being chatted with this kind of artificial intelligence conversational system robot and
People is the same to remember knowledge, understand knowledge, merely knowledge.
Finally it should be noted that：Various embodiments above is merely illustrative of the technical solution of the present invention, rather than its limitations；To the greatest extent
Pipe has been described in detail with reference to foregoing embodiments to the present invention, it will be understood by those within the art that：Its according to
The technical scheme described in foregoing embodiments can so be modified, or which part or all technical characteristic are entered
Row equivalent；And these modifications or replacement, the essence of appropriate technical solution is departed from various embodiments of the present invention technology
The scope of scheme, it all should cover in the middle of the scope of claim of the invention and specification.
Claims (6)
1. a kind of knowledge retrieval method that artificial intelligence is talked with, it is characterised in that comprise the following steps：
Step 1：Obtain the problem sentence of user；
Step 2：The meaning of one's words is carried out to described problem sentence and is intended to analyze, obtain problem identification；
Step 3：Identified according to described problem, local answer is searched in local knowledge base；
Step 4：Local answer is obtained, local answer data is integrated and user is replied to；
Step 5：When local answer is not searched in local knowledge base, identified according to described problem, search for different in data source
Ground answer；
Step 6：Strange land answer is obtained, the strange land answer is integrated and user is replied to.
2. the knowledge retrieval method that a kind of artificial intelligence according to claim 1 is talked with, it is characterised in that the data source
Including file, third party's knowledge base and Internet resources.
3. the real time knowledge search method that a kind of artificial intelligence according to claim 1 is talked with, it is characterised in that the step
After rapid 6 specifically, obtain strange land answer, the meaning of one's words is carried out to strange land answer and is intended to analyze, when the attribute of the strange land answer is
Declarative sentence, or during for intellectual answer, the strange land answer is integrated and user is replied to.
4. the real time knowledge search method that a kind of artificial intelligence according to claim 1 or 3 is talked with, it is characterised in that institute
Analysis is anticipated and be intended to predicate for judging the speech performance attribute of sentence and being intended to attribute.
5. the automatic improving method of knowledge base of claim 1 methods described is based on, it is characterised in that comprised the following steps,
Step 11：When local answer is not searched in the local knowledge base, using described problem sentence as seed information；
Step 12：The seed information is transmitted to reptile engine；
Step 13：Obtain the data that the reptile engine is captured in the data source；
Step 14：The data are stored in the local knowledge base.
6. the automatic improving method of knowledge base according to claim 5, it is characterised in that the step 14 also includes, to institute
Stating data carries out the meaning of one's words and is intended to analyze, when the attribute of the data is declarative sentence, or during for intellectual answer, by the number
According to being stored in the local knowledge base；It is no, then the data are deleted.
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| CN107391570A (en) * | 2017-06-19 | 2017-11-24 | 广东小天才科技有限公司 | Method and device for searching questions on mobile terminal |
| CN107622052A (en) * | 2017-09-20 | 2018-01-23 | 广东欧珀移动通信有限公司 | Natural language processing method, apparatus, storage medium and terminal device |
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| CN107943998A (en) * | 2017-12-05 | 2018-04-20 | 竹间智能科技（上海）有限公司 | A kind of human-machine conversation control system and method for knowledge based collection of illustrative plates |
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| CN111460119A (en) * | 2020-03-27 | 2020-07-28 | 海信集团有限公司 | Intelligent question and answer method and system for economic knowledge and intelligent equipment |
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| CN112766936A (en) * | 2021-03-22 | 2021-05-07 | 中国工商银行股份有限公司 | Intelligent customer service processing method and system |
| CN113535980A (en) * | 2021-07-20 | 2021-10-22 | 南京市栖霞区民政事务服务中心 | Rapid establishing method of intelligent community knowledge base system based on artificial intelligence |
| CN117093679A (en) * | 2023-06-19 | 2023-11-21 | ***科技（杭州）有限公司 | Large language model intelligent inquiry dialogue method, system, equipment and medium |
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