CN110347811A - A kind of professional knowledge question and answer robot system based on artificial intelligence - Google Patents
A kind of professional knowledge question and answer robot system based on artificial intelligence Download PDFInfo
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- CN110347811A CN110347811A CN201910499159.5A CN201910499159A CN110347811A CN 110347811 A CN110347811 A CN 110347811A CN 201910499159 A CN201910499159 A CN 201910499159A CN 110347811 A CN110347811 A CN 110347811A
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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
- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F16/33—Querying
- G06F16/332—Query formulation
- G06F16/3329—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
- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F16/36—Creation of semantic tools, e.g. ontology or thesauri
- G06F16/367—Ontology
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F40/00—Handling natural language data
- G06F40/30—Semantic analysis
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/26—Government or public services
Abstract
A kind of professional knowledge question and answer robot system based on artificial intelligence, including central control system, knowledge mapping building module, specialized knowledge base, human-computer interaction module, memory module, data acquisition module and preprocessing module；Knowledge mapping constructs module, specialized knowledge base, human-computer interaction module, memory module, data acquisition module and preprocessing module difference communication connection center control system, preprocessing module pre-processes it after data acquisition module obtains expert data A from network, obtains knowledge data B；Knowledge mapping constructs module and knowledge data B is built into knowledge mapping C；Memory module stored knowledge map C, and generate specialized knowledge base；Human-computer interaction module and memory module communication connection, human-computer interaction module are used for the question and answer of professional knowledge.Professional knowledge question and answer robot system provided by the invention can comprehensively answer professional knowledge problem.
Description
Technical field
The present invention relates to intelligent answer robotic technology fields more particularly to a kind of professional knowledge based on artificial intelligence to ask
Answer robot system.
Background technique
For users, natural language is optimal man-machine interaction mode, intelligent interaction automatically request-answering system nature language
Speech is answered the problem of user, more friendly than search engine, is more able to satisfy the demand of user's operation simplification and knowledge precision；With
Big data information management, intelligent depth analysis, personal carry the relevant technologies such as smart machine, mobile Internet and application
It advances by leaps and bounds, the form and application scenarios of automatic question answering are undergoing profound change.
In the professional knowledge question and answer activity in terms of carrying out party building development, by question and answer robot system to quizmaster
The professional knowledge problem of proposition is answered, but the data about professional knowledge stored in existing question and answer robot system
It is very few；With the development of computer network, professional knowledge renewal speed is accelerated, and the profession stored in existing question and answer robot is known
Knowledge obviously has lag, so that the subproblem that quizmaster proposes can not often find corresponding answer, to substantially reduce use
Person uses the experience of question and answer robot system.
Summary of the invention
(1) goal of the invention
To solve technical problem present in background technique, the present invention proposes that a kind of professional knowledge based on artificial intelligence is asked
Answer robot system, question and answer robot system provided by the invention data and will finally be obtained by acquiring professional knowledge from network
The professional knowledge data obtained generate specialized knowledge base, so as to answer the problem of more fully proposition to quizmaster；In addition
Question and answer are carried out by way of speech exchange, greatly improve the experience of quizmaster.
(2) technical solution
To solve the above problems, the present invention provides a kind of professional knowledge question and answer robot system based on artificial intelligence,
Module, specialized knowledge base, human-computer interaction module, memory module, data acquisition mould are constructed including central control system, knowledge mapping
Block and preprocessing module；
Data acquisition module and central control system communication connection, data acquisition module are used to obtain professional number from network
According to A, data acquisition module is also used to expert data A being sent to central control system；
Preprocessing module and central control system communication connection, preprocessing module are used to pre-process expert data A,
Obtain knowledge data B；
Knowledge mapping constructs module and central control system communication connection, and knowledge mapping constructs module and is used for knowledge data
B is built into knowledge mapping C；
Memory module and central control system communication connection, memory module is used for stored knowledge map C, and generates profession and know
Know library；
Human-computer interaction module and central control system communication connection, and human-computer interaction module and memory module communication connection,
Human-computer interaction module is used to obtain the professional knowledge problem proposed, carries out understanding analysis to problem and extract from specialized knowledge base
Problem answers, and ultimately generate answer.
Preferably, data acquisition module mainly uses web crawler to obtain expert data A from network.
Preferably, preprocessing module carries out data integration processing, data using Tool for Data Warehouse Hive to expert data A
Cleaning and redundancy elimination finally obtain knowledge data B.
Preferably, knowledge mapping building module includes
Information extraction module is obtained for extracting the structured messages such as entity, relationship and entity attribute from knowledge data B
To entity information D；
Entity cluster disambiguation module obtains new entity information E for carrying out entity disambiguation to entity information D；
Triple identification module, for will obtain new entity information E respectively with existing Major Knowledge Structure data
Melted according to entity relationship, generates new structured data F；
Map generation module generates knowledge mapping C for that will obtain new structured data F.
Preferably, knowledge data B includes semi-structured data and without structured data.
Preferably, human-computer interaction module includes
Speech recognition module, the voice messaging G that quizmaster issues for identification；
Semantic module, for analyzing the semanteme in voice messaging G；
Semantic understanding module, for understanding the semanteme in voice messaging G；
Answer extracting module is extracted problem from specialized knowledge base and is answered after analyzing and understanding the semanteme in voice messaging G
Case H；
Answer generation module, for problem answers H to be produced vocal answer or text answer.
Preferably, human-computer interaction module further includes the Text region module of the text of quizmaster's input for identification.
It preferably, further include examining update module；It examines update module and central control system communication connection, examines and update
Module is for examining knowledge data B.
Preferably, examine update module to knowledge data B examines the specific steps are, when knowledge data B meet examination tie
Knowledge data B is then sent to knowledge mapping building module and is used to construct knowledge mapping C by fruit；When knowledge data B does not meet examination
As a result, then knowledge data B is deleted.
Above-mentioned technical proposal of the invention has following beneficial technical effect:
In the present invention, by obtaining expert data A from internet and pre-processing to it, and there is knowledge mapping building
By treated, expert data A constructs knowledge mapping C to module, and ultimately generates specialized knowledge base；By on the network that will acquire
Expert data A generate specialized knowledge base and stored, thus guarantee information in specialized knowledge base more comprehensively；
User puts question to profession by way of direct speech exchange or input text when using human-computer interaction module
Knowledge, human-computer interaction module quickly can carry out analysis and understanding to the professional knowledge problem proposed, from quickly from specialized knowledge base
In transfer out the answer asked a question, and answer is produced into vocal answer or text answer, and vocal answer is played out
Or show text answer, it is exchanged by the question and answer that human-computer interaction module can allow user directly to carry out professional knowledge,
Greatly improve the experience of user.
Detailed description of the invention
Fig. 1 is a kind of functional block diagram of the professional knowledge question and answer robot system based on artificial intelligence proposed by the present invention.
Fig. 2 is knowledge mapping structure in a kind of professional knowledge question and answer robot system based on artificial intelligence proposed by the present invention
Model the functional block diagram of block.
Fig. 3 is a kind of professional knowledge question and answer robot Method of Man-computer Interaction mould based on artificial intelligence proposed by the present invention
The functional block diagram of block.
Appended drawing reference: 1, central control system；2, knowledge mapping constructs module；21, information extraction module；22, entity is poly-
Class disambiguation module；23, triple identification module；24, map generation module；3, specialized knowledge base；4, human-computer interaction module；41,
Speech recognition module；42, semantic module；43, semantic understanding module；44, answer extracting module；45, answer generation module；
5, memory module；6, data acquisition module；7, preprocessing module；8, update module is examined.
Specific embodiment
In order to make the objectives, technical solutions and advantages of the present invention clearer, With reference to embodiment and join
According to attached drawing, the present invention is described in more detail.It should be understood that these descriptions are merely illustrative, and it is not intended to limit this hair
Bright range.In addition, in the following description, descriptions of well-known structures and technologies are omitted, to avoid this is unnecessarily obscured
The concept of invention.
As shown in Figure 1-3, a kind of professional knowledge question and answer robot system based on artificial intelligence proposed by the present invention, including
Central control system 1, knowledge mapping construct module 2, specialized knowledge base 3, human-computer interaction module 4, memory module 5, data acquisition
Module 6 and preprocessing module 7；
Data acquisition module 6 and 1 communication connection of central control system, data acquisition module 6 are used to obtain from network special
Industry data A, data acquisition module 6 are also used to expert data A being sent to central control system 1；The network information is explosive daily
Increase, there is timeliness by constantly obtaining expert data A from network；
Preprocessing module 7 and 1 communication connection of central control system, preprocessing module 7 are used to carry out expert data A pre-
Processing, obtains knowledge data B；Since the data of acquisition are easy to be interfered, the influence of redundancy and consistent sexual factor, in order to guarantee
The quality of data, it is necessary to which data are pre-processed；
Knowledge mapping constructs module 2 and 1 communication connection of central control system, and knowledge mapping constructs module 2 and is used for knowledge
Data B is built into knowledge mapping C；
Memory module 5 and 1 communication connection of central control system, memory module 5 are used for stored knowledge map C, and generate special
Industry knowledge base 3；
Human-computer interaction module 4 and 1 communication connection of central control system, and human-computer interaction module 4 and the communication of memory module 5 connect
It connects, human-computer interaction module 4 is used to obtain the professional knowledge problem of proposition, understand to problem analysis and from specialized knowledge base
3 extract problem answers, and ultimately generate answer.
In an alternative embodiment, data acquisition module 6 mainly obtains expert data using web crawler from network
A；Web crawler is most flexible collecting method, and the complicated data of flood tide can be obtained from network.
In an alternative embodiment, preprocessing module 7 carries out expert data A using Tool for Data Warehouse Hive
Data integration processing, data cleansing and redundancy elimination finally obtain knowledge data B.
In an alternative embodiment, knowledge mapping building module 2 includes
Information extraction module 21, for extracting the structured messages such as entity, relationship and entity attribute from knowledge data B
Obtain entity information D；Information extraction module 21 includes entity extraction, Relation extraction and attribute extraction；
Entity cluster disambiguation module 22 obtains new entity information E for carrying out entity disambiguation to entity information D；Pass through
Information extraction module 21 realizes and obtains entity, relationship and entity attribute information from unstructured and semi-structured data
Target；It but may include a large amount of redundancy and wrong data information in the result obtained；It is clear it is therefore desirable to be carried out to it
Reason, rejects redundancy and erroneous picture at the ambiguity for eliminating concept, so that it is guaranteed that the quality of data；
Triple identification module 23, for will obtain new entity information E respectively with existing Major Knowledge Structure number
Melted according to according to entity relationship, generates new structured data F；
Map generation module 24 generates knowledge mapping C for that will obtain new structured data F.
In an alternative embodiment, knowledge data B includes semi-structured data and without structured data.
In an alternative embodiment, human-computer interaction module 4 includes
Speech recognition module 41, the voice messaging G that quizmaster issues for identification；Speech recognition module 41 is by HTK work
Tool packet completes classical Hidden Markov acoustic model modeling, realizes speech recognition；
Semantic module 42, for analyzing the semanteme in voice messaging G；Semantic analysis understands aspect, uses
In the method for across channel cascade convolutional layer substitution conventional linear convolution filter, to traditional convolutional neural networks semantic model
It is improved, effectively reduces obscuring for semantic analysis understanding；
Semantic understanding module 43, for understanding the semanteme in voice messaging G；
Answer extracting module 44 is asked after analyzing and understanding the semanteme in voice messaging G from the extraction of specialized knowledge base 3
Inscribe answer H；
Answer generation module 45, for problem answers H to be produced vocal answer or text answer, and by vocal answer into
Row plays or shows text answer.
In an alternative embodiment, human-computer interaction module 4 further includes the text of the text of quizmaster's input for identification
Word identification module.
It in an alternative embodiment, further include examining update module 8；Examine update module 8 and central control system 1
Communication connection examines update module 8 for examining knowledge data B.
In an alternative embodiment, examine update module 8 to knowledge data B examine the specific steps are work as knowledge
Data B meets examination result, then knowledge data B is sent to knowledge mapping building module 2 and is used to construct knowledge mapping C；
When knowledge data B does not meet examination result, then knowledge data B is deleted；Such as knowledge data B repeat or
There is the problem of redundancy in knowledge data B, then needs to delete it.
In the present invention, by obtaining expert data A from internet and pre-processing to it, and there is knowledge mapping building
By treated, expert data A constructs knowledge mapping C to module 2, and ultimately generates specialized knowledge base 3；Pass through the network that will acquire
On expert data A generate specialized knowledge base 3 and stored, thus guarantee information in specialized knowledge base 3 more comprehensively；
User is putd question to special when using human-computer interaction module 4 by way of direct speech exchange or input text
Industry knowledge, human-computer interaction module 4 quickly can carry out analysis and understanding to the professional knowledge problem proposed, from quickly from professional knowledge
The answer asked a question is transferred out in library 3, and answer is produced into vocal answer or text answer, and vocal answer is broadcast
It puts or shows text answer, handed over by the question and answer that human-computer interaction module 4 can allow user directly to carry out professional knowledge
Stream, greatly improves the experience of user.
It should be understood that above-mentioned specific embodiment of the invention is used only for exemplary illustration or explains of the invention
Principle, but not to limit the present invention.Therefore, that is done without departing from the spirit and scope of the present invention is any
Modification, equivalent replacement, improvement etc., should all be included in the protection scope of the present invention.In addition, appended claims purport of the present invention
Covering the whole variations fallen into attached claim scope and boundary or this range and the equivalent form on boundary and is repairing
Change example.
Claims (9)
1. a kind of professional knowledge question and answer robot system based on artificial intelligence, which is characterized in that including central control system
(1), knowledge mapping constructs module (2), specialized knowledge base (3), human-computer interaction module (4), memory module (5), data acquisition mould
Block (6) and preprocessing module (7)；
Data acquisition module (6) and central control system (1) communication connection, data acquisition module (6) from network for obtaining
Expert data A, data acquisition module (6) are also used to for expert data A to be sent to central control system (1)；
Preprocessing module (7) and central control system (1) communication connection, preprocessing module (7) are used to carry out expert data A pre-
Processing, obtains knowledge data B；
Knowledge mapping constructs module (2) and central control system (1) communication connection, and knowledge mapping building module (2) will be for that will know
Know data B and is built into knowledge mapping C；
Memory module (5) and central control system (1) communication connection, memory module (5) is used for stored knowledge map C, and generates
Specialized knowledge base (3)；
Human-computer interaction module (4) and central control system (1) communication connection, and human-computer interaction module (4) and memory module (5) are logical
News connection, human-computer interaction module (4) is used to obtain the professional knowledge problem of proposition, understand to problem analysis and from profession
Knowledge base (3) extracts problem answers, and ultimately generates answer.
2. a kind of professional knowledge question and answer robot system based on artificial intelligence according to claim 1, which is characterized in that
Data acquisition module (6) mainly obtains expert data A using web crawler from network.
3. a kind of professional knowledge question and answer robot system based on artificial intelligence according to claim 1, which is characterized in that
Preprocessing module (7) carries out data integration processing, data cleansing and redundancy using Tool for Data Warehouse Hive to expert data A and disappears
Except finally obtaining knowledge data B.
4. a kind of professional knowledge question and answer robot system based on artificial intelligence according to claim 1, which is characterized in that
Knowledge mapping constructs module (2)
Information extraction module (21) is obtained for extracting the structured messages such as entity, relationship and entity attribute from knowledge data B
To entity information D；
Entity cluster disambiguation module (22) obtains new entity information E for carrying out entity disambiguation to entity information D；
Triple identification module (23), for will obtain new entity information E respectively with existing Major Knowledge Structure data
Melted according to entity relationship, generates new structured data F；
Map generation module (24) generates knowledge mapping C for that will obtain new structured data F.
5. a kind of professional knowledge question and answer robot system based on artificial intelligence according to claim 4, which is characterized in that
Knowledge data B includes semi-structured data and without structured data.
6. a kind of professional knowledge question and answer robot system based on artificial intelligence according to claim 1, which is characterized in that
Human-computer interaction module (4) includes
Speech recognition module (41), the voice messaging G that quizmaster issues for identification；
Semantic module (42), for analyzing the semanteme in voice messaging G；
Semantic understanding module (43), for understanding the semanteme in voice messaging G；
Answer extracting module (44) is extracted from specialized knowledge base (3) and is asked after analyzing and understanding the semanteme in voice messaging G
Inscribe answer H；
Answer generation module (45), for problem answers H to be produced vocal answer or text answer.
7. a kind of professional knowledge question and answer robot system based on artificial intelligence according to claim 6, which is characterized in that
Human-computer interaction module (4) further includes the Text region module of the text of quizmaster's input for identification.
8. a kind of professional knowledge question and answer robot system based on artificial intelligence according to claim 1, which is characterized in that
It further include examining update module (8)；It examines update module (8) and central control system (1) communication connection, examines update module
(8) for examining knowledge data B.
9. a kind of professional knowledge question and answer robot system based on artificial intelligence according to claim 8, which is characterized in that
Examine update module (8) to knowledge data B examine the specific steps are when knowledge data B meets examination result, then by knowledge number
Knowledge mapping building module (2) is sent to for constructing knowledge mapping C according to B；When knowledge data B does not meet examination result, then will
Knowledge data B is deleted.
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| CN111695763A (en) * | 2020-04-29 | 2020-09-22 | 同济大学 | Scheduling system and method based on voice question and answer |
| CN111813911A (en) * | 2020-06-30 | 2020-10-23 | 神思电子技术股份有限公司 | Knowledge automatic acquisition and updating system based on user supervision feedback and working method thereof |
| CN112732845A (en) * | 2021-01-26 | 2021-04-30 | 长威信息科技发展股份有限公司 | End-to-end-based large-scale knowledge graph construction and storage method and system |
| CN112860911A (en) * | 2021-02-04 | 2021-05-28 | 数智知库(苏州)科技有限公司 | Interactive generation system based on language knowledge graph |
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