CN110377752A - A kind of knowledge base system applied to the operation of government affairs hall - Google Patents
A kind of knowledge base system applied to the operation of government affairs hall Download PDFInfo
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Abstract
The invention discloses a kind of knowledge base system applied to the operation of government affairs hall, comprising: stratum of intellectual, knowledge processing layer and knowledge application layer；Wherein, stratum of intellectual is database layer, and data supporting, knowledge support for knowledge base system operation provide knowledge base expansion service；Knowledge processing layer provides cloud AI platform deep learning processing module and big data distributed collaboration processing module, for acquisition knowledge or data excavated, analyzed, found, stored, it is associated with knowledge base information；Knowledge application layer is to obtain knowledge, information, data, service for user.The present invention provides a kind of knowledge base system applied to the operation of government affairs hall, expand knowledge base system in the application field of government affairs, excavate implicit knowledge, government affairs class knowledge data base is changed to the knowledge base system with business application system, it realizes knowledge application and knowledge innovation, provides high-level data analysis result and more targeted issue-resolution for government affairs hall.
Description
Technical field
The invention belongs to knowledge base system development technique more particularly to the intelligence operation of government affairs hall, electronic government affairs system etc.
Field.
Background technique
In E-Government field, IDC(internet data company) one group of data was once provided, the year two thousand twenty is arrived in assessment, global
Total amount of data be up to 40000EB(it is average everyone possess the data of 5200GB), global data speedup is 50%, is equivalent to
It can every two years double.The data of China account for about the 20% of the whole world, have nearly 80% data to rest in government's hand, government is for number
According to storage, integration, application, operation, analysis it is extremely important.
In government affairs hall during operation management, many local sectors have built multiple handle affairs using Internet technology and have put down
Platform.During government affairs service execution, due to a lack of unified reasonable planning and effective Data Share System, inter-sectional government affairs number
According to can not efficient intercommunication, repeated acquisition, the consistency for resulting in data are poor, development and utilization level is low, affect towards the public and
The government affairs service level and efficiency of enterprise.During the masses handle affairs, it need to repeat to submit working data there are the masses
The phenomenon that, influence masses' working experience.The government affairs hall in the whole nation 72.1% establishes comprehensive examination & approval management platform, wherein more than 70%
Platform fail and department's working system realizes data sharing, only the operation system of 595 platforms and part functional department is realized
Data docking.Many government affairs halls face " mostly set system, multiple processes, repeatedly login, repetition typing " in transacting business
Problem seriously constrains the promotion of examination & approval efficiency.Thus build what knowledge base system made to be highly desirable in E-Government field,
The data that can be used as government affairs hall carry out unified storage, integration, application, operation, analysis, also can be used as information system, each department
The intermediate medium of system provides unified external interface, obtains relevant government data, realizes data sharing, transports to government affairs hall
Battalion or government affairs hall execute government affairs service and provide strong data supporting.
Therefore, how to provide it is a kind of applied to government affairs hall operation knowledge base system be that those skilled in the art need to solve
Certainly the problem of.
Summary of the invention
In view of this, the present invention provides a kind of knowledge base system applied to the operation of government affairs hall.Instantly it is applied to political affairs
The knowledge base system in business field, it is most of to be used as government affairs class knowledge data base, it is acquired by modes such as manual entry, interface docking
The various data of government department provide search, editor, newly-increased, export, import as the knowledge base that government internal staff uses
Function.In order to expand knowledge base system in the application field of government affairs, implicit knowledge is excavated, in conjunction with big data technology and cloud AI skill
Art changes government affairs class knowledge data base to the knowledge base system with business application system.
To achieve the goals above, the invention provides the following technical scheme:
A kind of knowledge base system applied to the operation of government affairs hall, comprising: data Layer, knowledge processing layer, knowledge application layer；
The data Layer is all kinds of knowledge bases, including item library, corpus, hall operation library, historical statistical data, other data
Library；
All kinds of knowledge bases are for storing Various types of data, information, knowledge, supporting operation；
The knowledge processing layer includes cloud AI platform deep learning processing module and big data distributed collaboration processing module；
The cloud AI platform deep learning processing module uses MXNet as machine learning frame, expansible, clever to obtain height
Living and quickly model training experience, allows intelligent AI equipment to carry out depth analysis to the image, language, knowledge of reading；
The big data distributed collaboration processing module is used for the acquisition of information, knowledge, excavation, cleaning, calculating and discovery, and
Data statistic analysis, Analysis of Policy Making, multi-dimensional data visualization are provided；
The knowledge application layer is to obtain knowledge, information, data, service for user.
Preferably, in a kind of knowledge base system applied to the operation of government affairs hall, other described databases are used for knowledge
Library extends function, continues library for after and provides basis.
Preferably, in a kind of knowledge base system applied to the operation of government affairs hall, at the cloud AI platform deep learning
Reason module includes image recognition, automatic speech recognition, automatic language processing, knowledge analysis；Described image identification uses sparse volume
Enhancing and identification of the theory and technology to image and video of code, dictionary learning, deep learning；The automatic language identifies, certainly
Dynamic language identification and knowledge analysis construct high-accuracy speech recognition using deep neural network technology and extensive voice data
System realizes the identification and analysis to language, knowledge.
Preferably, in a kind of knowledge base system applied to the operation of government affairs hall, at the big data distributed collaboration
Reason module includes big data storage management, big data collaboration processing, big data calculating cognition and Knowledge Discovery；The big data is deposited
Storage management uses distributed schemes, realizes semi-structured, unstructured data processing with Hadoop, stores to data high quality；
The big data collaboration processing assists efficient distributed isomeric data by Hadoop, MapReduce distributed computing technology
With processing；The big data calculates cognition and Knowledge Discovery and is calculated by efficient online classification, on-line talking, online trend analysis
Method, to Sparse and there are the knowledge under noise conditions to find.
Preferably, in a kind of knowledge base system applied to the operation of government affairs hall, the knowledge application layer includes portal
And application service；The portal is the channel that user obtains service, knowledge；The channel includes page end, mobile phone terminal, wechat
End, intelligent robot, virtual robot；Affiliated application service is that user interacts with the portal, and the service of acquisition is known
Know, information.
It can be seen via above technical scheme that compared with prior art, the present disclosure provides one kind to be applied to government affairs
The knowledge base system of hall operation allows and answers originally in conjunction with big data distributed collaboration processing technique and cloud AI depth learning technology
Knowledge base system for government affairs field is from original government affairs class knowledge data base to the knowledge base system with business application system
Transformation, in conjunction with big data distributed collaboration processing technique, solving government data, there are multi-sourcing, isomerization, fragmentation and values
The problems such as density is low, in conjunction with cloud AI depth learning technology, the artificial intelligence computing capability of Improving Government mass data is that government affairs are big
The Room provides higher level data analysis result and more targeted issue-resolution, realizes that lobby Service is intelligent, big
Room management precision, hall monitoring real time implementation, hall operation digitlization, are continuously improved lobby Service level and management level.
Detailed description of the invention
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
The embodiment of invention for those of ordinary skill in the art without creative efforts, can also basis
The attached drawing of offer obtains other attached drawings.
Fig. 1 attached drawing is structural block diagram of the invention.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts every other
Embodiment shall fall within the protection scope of the present invention.
The embodiment of the invention discloses a kind of knowledge base system applied to the operation of government affairs hall, in conjunction with big data distribution
Processing technique and cloud AI depth learning technology are cooperateed with, the knowledge base system for being applied to government affairs field originally is allowed to know from original government affairs class
Know database to change to the knowledge base system with business application system, in conjunction with big data distributed collaboration processing technique, solve
Government data the problems such as there are multi-sourcing, isomerization, low fragmentation and value density, is promoted in conjunction with cloud AI depth learning technology
The artificial intelligence computing capability of government's mass data provides higher level data analysis result for government affairs hall and is more directed to
Property the problem of solution, realize that number is runed in lobby Service intelligent, hall management precision, hall monitoring real time implementation, hall
Lobby Service level and management level is continuously improved in word.
As shown in Figure 1, it is a kind of applied to government affairs hall operation knowledge base system, comprising: data Layer, knowledge processing layer,
Knowledge application layer；
The data Layer is all kinds of knowledge bases, including item library, corpus, hall operation library, historical statistical data, other data
Library；
All kinds of knowledge bases are for storing Various types of data, information, knowledge, supporting operation；
The knowledge processing layer includes cloud AI platform deep learning processing module and big data distributed collaboration processing module；
The cloud AI platform deep learning processing module uses MXNet as machine learning frame, expansible, clever to obtain height
Living and quickly model training experience, allows intelligent AI equipment to carry out depth analysis to the image, language, knowledge of reading；
The big data distributed collaboration processing module is used for the acquisition of information, knowledge, excavation, cleaning, calculating and discovery, and
Data statistic analysis, Analysis of Policy Making, multi-dimensional data visualization are provided；
The knowledge application layer is to obtain knowledge, information, data, service for user.
In order to further optimize the above technical scheme, the data Layer is by the knowledge of the database sharing of different attribute
Library, by establishing the library of various different attributes to data type analysis, item library, corpus including being applied to the operation of government affairs hall
Library, historical statistical data library are runed in library, hall；The knowledge base also provides database expansion service, continues database after being
Construction entrance is provided.
In order to advanced optimize optimization above-mentioned technical proposal, the cloud AI platform deep learning processing module includes that image is known
Not, automatic speech recognition, automatic language processing, knowledge analysis；Described image identification uses sparse coding, dictionary learning, depth
The enhancing and identification of learning theory and technology to image and video；The automatic language identification, automatic language identification and knowledge
Analysis, using deep neural network technology and extensive voice data construction high-accuracy speech recognition system realize to language,
The identification and analysis of knowledge.
Further, cloud AI deep learning processing module uses MXNet as machine learning frame, can be expanded with obtaining height
Exhibition, the experience of flexible and quick model training, allow intelligent AI equipment to carry out depth analysis, knot to the image, language, knowledge of reading
Knowledge base information is closed, high accurately artificial intelligence service is showed.
Image recognition obtains the biological information of user's face, fingerprint and sound wave by picture pick-up device, and application is dilute
Dredge enhancing and identification of the theory and technology realization of coding, dictionary learning, deep learning to image and video, including image/view
Frequency denoising, the enhancing of image/video deblurring, image/video high-resolution.
Automatic language identification constructs high-accuracy speech recognition using deep neural network technology and extensive voice data
System realizes the identification and analysis to language, including characteristic extracting module, acoustic model, language model, decoder.
Further, characteristic extracting module carries out feature extraction to collected language, passes through acoustic model and language model
The language model of extraction is modeled, eventually by being decoded, matching to the model built up, obtains pair of maximum probability
Answer text.
Natural language processing is support with basic NLP ability using the semantic analysis of vocabulary grade and statement level, accurate to manage
The real demand for solving user's expression, provides accurate reply for user.
Knowledge analysis is to establish, simulate the neural network that human brain carries out analytic learning, imitates the mechanism of human brain to explain number
According to, such as to image, the analysis of sound and text, and then accurately solution is provided for front end.
In order to further optimize the above technical scheme, the big data distributed collaboration processing module includes big data storage
Management, big data collaboration processing, big data calculate cognition and Knowledge Discovery；The big data storage management uses distribution side
Case is realized semi-structured, unstructured data processing with Hadoop, is stored to data high quality；The big data collaboration processing
Collaboration processing is carried out to efficient distributed isomeric data by Hadoop, MapReduce distributed computing technology；The big data meter
Cognition and Knowledge Discovery are calculated by efficient online classification, on-line talking, online trend analysis algorithm, to Sparse and presence
Knowledge under noise conditions is found.
Further, big data storage management is by Hadoop+MPP+memory database mixed architecture, using distribution
Formula scheme realizes semi-structured, unstructured data processing with Hadoop.The structural data of high quality is handled with MPP, simultaneously
SQL abundant and affairs tenability are provided for application, it is final to realize the storage of data high quality.
Further, big data collaboration processing is by Hadoop, MapReduce distributed computing technology to big data storage management mistake
Stored in journey, efficient distributed isomeric data carries out collaboration cleaning, obtains high quality and cleans data, then passes through distribution
Artificial intelligence theory and SOA technology, integrate the data of cleaning, obtain the data of high quality.
Further, big data calculates cognition and Knowledge Discovery passes through efficient online classification, on-line talking, online trend and divides
Algorithm is analysed, Sparse is improved and there are the Knowledge Discovery ability under noise conditions, handle mould with the cloud AI deep learning
Block is analyzed the knowledge from different data sources, is calculated, and integrates cognition computation model from multi-angle, calculates mould to cognition
The obtained knowledge of type explains, and assigns semantic information.
In order to further optimize the above technical scheme, the knowledge application layer includes portal and application service；The portal
It is the channel that user obtains service, knowledge；The channel includes page end, mobile phone terminal, wechat end, intelligent robot, virtual machine
Device people；Affiliated application service is that user interacts with the portal, the service of acquisition, knowledge, information.
Further, the knowledge acquisition in the application service, knowledge base system utilize data and data in knowledge library
Between association, being associated between knowledge and knowledge, recognized and calculated and knowledge discovering technologies by told big data, it is normal except providing
The Explicit Knowledge for advising operation management, also provides accurately recessive knowledge, such as compares and analyzes multiple operation embodiments and be implemented as
Effect provides accurate, targeted operation and implements solution, rather than rests on information theory level, is more to pass through mould
The mechanism of apery brain carrys out explanation knowledge, shows knowledge.
It in order to further optimize the above technical scheme, further include external standard, unified data-interface and data sharing machine
System, standard interface are based primarily upon the framework thought of SOA, and external interface is carried out unified encapsulation, forms standardized interface,
Reduction causes docking to fail because of interface complexity.Data Share System by using stratification, towards the technology of opening and shares
Framework, will apply and data decoupler, formed stablize, open Data Share System, be knowledge base system and other information system
Between data sharing good bridge is provided.
Each embodiment in this specification is described in a progressive manner, the highlights of each of the examples are with other
The difference of embodiment, the same or similar parts in each embodiment may refer to each other.For device disclosed in embodiment
For, since it is corresponded to the methods disclosed in the examples, so being described relatively simple, related place is said referring to method part
It is bright.
The foregoing description of the disclosed embodiments enables those skilled in the art to implement or use the present invention.
Various modifications to these embodiments will be readily apparent to those skilled in the art, as defined herein
General Principle can be realized in other embodiments without departing from the spirit or scope of the present invention.Therefore, of the invention
It is not intended to be limited to the embodiments shown herein, and is to fit to and the principles and novel features disclosed herein phase one
The widest scope of cause.
Claims (5)
1. a kind of knowledge base system applied to the operation of government affairs hall characterized by comprising data Layer, is known knowledge processing layer
Know application layer；
Wherein, the data Layer is all kinds of knowledge bases, including item library, corpus, hall operation library, historical statistical data, its
His database；
All kinds of knowledge bases are for storing Various types of data, information, knowledge, supporting operation；
The knowledge processing layer includes cloud AI platform deep learning processing module and big data distributed collaboration processing module；
The cloud AI platform deep learning processing module uses MXNet as machine learning frame, expansible, clever to obtain height
Living and quickly model training experience, allows intelligent AI equipment to carry out depth analysis to the image, language, knowledge of reading；
The big data distributed collaboration processing module is used for the acquisition of information, knowledge, excavation, cleaning, calculating and discovery, and
Data statistic analysis, Analysis of Policy Making, multi-dimensional data visualization are provided；
The knowledge application layer is to obtain knowledge, information, data, service for user.
2. a kind of knowledge base system applied to the operation of government affairs hall according to claim 1, which is characterized in that other described data
Library extends function for knowledge base, continues library for after and provides basis.
3. a kind of knowledge base system applied to the operation of government affairs hall according to claim 1, which is characterized in that the cloud AI platform
Deep learning processing module includes image recognition, automatic speech recognition, automatic language processing, knowledge analysis；Described image identification
Use enhancing and identification of the theory and technology to image and video of sparse coding, dictionary learning, deep learning；The automatic language
Speech identification, automatic language identification and knowledge analysis, construct high precision using deep neural network technology and extensive voice data
Rate speech recognition system realizes the identification and analysis to language, knowledge.
4. a kind of knowledge base system applied to the operation of government affairs hall according to claim 1, which is characterized in that the big data point
Cloth collaboration processing module includes big data storage management, big data collaboration processing, big data calculating cognition and Knowledge Discovery；Institute
Big data storage management is stated using distributed schemes, semi-structured, unstructured data processing is realized with Hadoop, to data height
Quality storage；The big data collaboration processing is by Hadoop, MapReduce distributed computing technology to efficient distributed heterogeneous number
According to carrying out collaboration processing；The big data calculate cognition and Knowledge Discovery by efficient online classification, on-line talking, online become
Potential analysis algorithm, to Sparse and there are the knowledge under noise conditions to find.
5. a kind of knowledge base system applied to the operation of government affairs hall according to claim 1, which is characterized in that the knowledge application
Layer includes portal and application service；The portal is the channel that user obtains service, knowledge；The channel includes page end, hand
Generator terminal, wechat end, intelligent robot, virtual robot；Affiliated application service is that user interacts with the portal, acquisition
Service, knowledge, information.
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN111159095A (en) * | 2020-01-02 | 2020-05-15 | 中国航空工业集团公司西安航空计算技术研究所 | Heterogeneous integrated embedded intelligent computing implementation method |
| CN112015962A (en) * | 2020-07-24 | 2020-12-01 | 北京艾巴斯智能科技发展有限公司 | Government affair intelligent big data center system architecture |
| CN113031922A (en) * | 2021-03-09 | 2021-06-25 | 广东金赋科技股份有限公司 | Intelligent service system for hall informatization |
| CN114004581A (en) * | 2021-10-12 | 2022-02-01 | 正数网络技术有限公司 | Intention interaction system based on multi-dimensional government affair knowledge base |
| CN117634606A (en) * | 2024-01-25 | 2024-03-01 | 浪潮软件科技有限公司 | An intelligent management method for multi-dimensional knowledge data based on machine learning |
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Application publication date: 20191025 |