CN109446387A - A kind of Owners Committee's intelligent Answer System based on artificial intelligence - Google Patents
A kind of Owners Committee's intelligent Answer System based on artificial intelligence Download PDFInfo
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- CN109446387A CN109446387A CN201811172577.5A CN201811172577A CN109446387A CN 109446387 A CN109446387 A CN 109446387A CN 201811172577 A CN201811172577 A CN 201811172577A CN 109446387 A CN109446387 A CN 109446387A
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Abstract
The present invention relates to Owners Committee fields, specifically disclose a kind of Owners Committee's intelligent Answer System based on artificial intelligence, including sequentially connected data collection module, processing module and application module, the data collection module includes the web crawlers technology for handling common data source, own data collection service and corresponding Data Integration, the processing module includes data processing, Knowledge Extraction, knowledge fusion and knowledge mapping, it further include the real-time optimization of processing parameter, the application module includes the intelligent answer program based on knowledge mapping, knowledge intelligent search program and intelligent recommendation program, it further include intelligent answer program, knowledge intelligent search program and the available feedback data of intelligent recommendation program, Owners Committee's intelligent Answer System based on artificial intelligence is capable of providing automatic question answering, it is related and similar new News event and legal matter search recommendation, and the course with guiding performance and test recommendation etc. are provided according to user data.
Description
Technical field
The present invention relates to Owners Committee field, specially a kind of Owners Committee's intelligent Answer System based on artificial intelligence.
Background technique
Owners' committee refers to and is made of owner's representative in estate management region, represents the interests of owner, Xiang Shehui each side
Reflect owner's wish and requirement, and supervises a non-government organization of infrastructure management company's management operation.The public good of Owners Committee's tissue
Property it is stronger, in society for this field be capable of providing profession study and consulting seldom, Owners Committee work participant not only need
Learn relevant laws and regulations in the work of oneself, various processes, the problem in regulation can be encountered, it is suitable many times to can not find
Advisory organization, emerge one after another for the phenomenon that kind mismanagement thing again.It is highly desirable to popularize Owners Committee to owner again simultaneously
Often there are some problems in the management operation process of Owners Committee in relevant knowledge.Such as, owner corresponds to management system more footpath between fields
Raw, Owners Committee is more difficult to the popularization of management system, while the autonomous learning chance of owner is less, and learning platform is unstable
Fixed, Learning Motive is insufficient；When Owners Committee issues some notices, line sends a notice usually not prompt enough, and is difficult to ensure abundant notice
In place, and on line in notice, the disunity of different owner's habituation social softwares, the repetition or omission for easily causing information to push；
When encountering problems, it is less that owner actively links up chance, and communication way is single, causes owner for Real-time Feedback or Owners Committee's group
The activity knitted, which lacks, participates in interest, causes owner's entirety participation rate low；Nowadays internet is universal, and some Owners Committees select wechat
The mode of group fast contacts owner, but seeks advice from the line of owner and is often difficult to be replied in time, and if only by Owners Committee at
The problems such as member carries out successively artificial reply and answers questions, and administrative staff will face larger workload.Based on problem above, Owners Committee's work
Participant needs telephone expenses great effort to do management tissue and popularization of knowledge work, and this group itself is without what benefit
Benefit causes the people for being willing to participate in this organization for public benefit fewer and fewer.
In internet+epoch of today, the technology of artificial intelligence and it is extensive be suitable for the application fields such as exchange management,
Owners Committee is a specific area, is related to artificial intelligence in the application landing in vertical field.The present invention is based on the industry of artificial intelligence
Committee's meeting intelligent Answer System not only can help Owners Committee worker to answer questions, and reduce the fault in work, more comprehensive to understand
Relevant laws and regulations, working process, while also mitigating the workload of Owners Committee work participant, management and popularization of knowledge efficiency are improved,
For the demand that user fast explains the puzzle, suitable relevent information is recommended, and the understanding for Owners Committee's related news and course
The problems such as reliability of approach and data, proposes substantive solution.
Summary of the invention
The purpose of the present invention is to provide a kind of Owners Committee's intelligent Answer System based on artificial intelligence, to solve above-mentioned back
The problem of being proposed in scape technology.Owners Committee's intelligent Answer System based on artificial intelligence can reduce Owners Committee's work and participate in
The workload of person improves management and popularization of knowledge efficiency, provides automatic question answering to owner, related and similar media event and
Legal matter search recommendation, and the course with guiding performance and test recommendation etc. are provided according to user data.
To achieve the above object, the invention provides the following technical scheme: a kind of Owners Committee based on artificial intelligence is intelligently asked
It answers system, including data collection module, processing module and application module, the data collection module, processing module and applies mould
Block is sequentially connected,
The data collection module includes the web crawlers technology for handling common data source, has data collection service by oneself
With corresponding Data Integration and database, the web crawlers technology and data integrated results data come together in database；
The processing module includes data processing and knowledge mapping, further includes the real-time optimization of processing parameter, data processing
Information source accept from database and its processing result flows into knowledge mapping, knowledge mapping include Knowledge Extraction, knowledge fusion with
And knowledge store；
The application module includes intelligent answer program, knowledge intelligent search program and the intelligence based on knowledge mapping
Can recommended program, further include can be obtained by intelligent answer program, knowledge intelligent search program and intelligent recommendation program it is anti-
Present data.
Further, the data source of the web crawlers technology include Web news, governments and laws regulation, Web graph picture and
Web audio frequency and video.
Further, the own data collection service includes unstructured data and structural data, unstructured number
According to including cell, forum, question and answer, for cell data from government information and commercial podium information, structural data includes test, class
The public praise of journey and various dimensions.
Further, the data processing includes the natural language processing technique carried out respectively to text data, to figure
The depth learning technology that image data carries out, and further include through entire data for the machine learning model of document classification
The Noise reducing of data for the treatment of process, data processed result flow into knowledge mapping in structural data and semi-structured data.
Further, the Knowledge Extraction can by extracting structured content in data processed result and being converted into knowledge,
It is extracted including entity, Relation extraction and attribute extraction, the knowledge fusion include Data Integration, entity alignment, ontological construction, know
Know reasoning and quality evaluation.
Further, the feedback data flows to the real-time optimization of processing parameter, the real-time optimization and data of processing parameter
Processing information mutually circulates reference, the data source of the real-time optimization of processing parameter further include the data of data collection module update with
And the update of learning model.
Compared with prior art, the beneficial effects of the present invention are:
(1) data collection carries out the data that the available data data and platform of network environment acquire itself in real time many-sided
It collects, data source includes that face is wider, the various data being related in Owners Committee's whole life cycle；
(2) utilize natural language processing and deep learning, to initial data carry out noise reduction, personage, theme, sentiment analysis and
Crawl and association analysis processing, and combine machine learning by data automatic clustering, work is called in the extraction for easily facilitating data
Make and the real-time update of data works；
(3) knowledge mapping by relevance by extracting the knowledge of structuring in unstructured data, and merge whole
Reason and knowledge store to improve recall precision, and improve the serious forgiveness of system retrieval process；
(4) intelligent answer of knowledge based map and intelligent search function, problem retrieval precision is higher, knowledge covering scope
Extensively, make the use process of owner more intuitive and convenient, functional diversity makes the system be suitable for different age group, different social activities
The crowd of habit, to improve the participation that owner works to Owners Committee；
(5) the intelligent recommendation function based on artificial intelligence can quickly solve the query of owner in time, and the work that makes to answer questions is fallen
Solidity is higher, optimizes understanding and learning track of the owner to Owners Committee's related management system；
(6) it by the update optimal way of the diversification such as data acquisition, learning model and user feedback, is able to maintain that and knows
The vitality for knowing map youth, is beneficial to the sustainable development of this system.
Detailed description of the invention
Fig. 1 is overall structure of the present invention；
Fig. 2 is own data collection service structural schematic diagram of the invention；
Fig. 3 is data processing of the invention and knowledge mapping structural schematic diagram；
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.
In the description of the present invention, it should be noted that unless otherwise clearly defined and limited, term " installation " " is set
Set/offer ", " connection ", etc., shall be understood in a broad sense, such as " connection ", may be a fixed connection, be also possible to detachably connect
It connects, or is integrally connected；It can be mechanical connection, be also possible to be electrically connected；It can be directly connected, intermediate matchmaker can also be passed through
Jie is indirectly connected, and can be the connection inside two elements.It for the ordinary skill in the art, can be with concrete condition
Understand the concrete meaning of above-mentioned term in the present invention.
Fig. 1~3 are please referred to, the present invention provides a kind of technical solution:
A kind of Owners Committee's intelligent Answer System based on artificial intelligence, including data collection module, processing module and application
Module, the data collection module, processing module and application module are sequentially connected.
The data collection module includes the web crawlers technology for handling common data source, has data collection service by oneself
With corresponding Data Integration and database, the web crawlers technology and data integrated results data come together in database.
The common data source of the web crawlers technology includes Web news, governments and laws regulation, Web graph picture and Web sound
Frequency video can grab wherein data information relevant to Owners Committee by online or offline mode.
The own data collection service includes unstructured data and structural data, and unstructured data includes: opinion
Altar, question and answer, comment, article etc.；Structural data includes: cell, test, course, public praise etc..
Cell data is originated from government information and commercial podium information, such as cell address, infrastructure management company, cell sizes disclosure
Retrievable information, this category information is more objective and confidence level with higher；Forum data is typical unstructured data, is put down
The own forum data of platform covers wide, and its data is more close to owner, Owners Committee and the real-time correlation circumstance being located at, can
It is grabbed in conjunction with keyword；The data specific aim of question and answer is stronger, and data processing is relatively complicated, can be counted by electric questionnaire
Representative data are obtained, and exploration and verifying and credit assigned Jing Guo each factor, converts letter for questionnaire data
Cease model；The case where structural data is representative using feedback with more platform, is test by user using platform and point
Number obtains test data；And user can recognize the use study situation of course the demand of user immediately；Public praise is then
Flexible multi-dimensional data can record user for property, cell, vendors' evaluating information, real-time reference with higher
Value.
The processing module includes data processing and knowledge mapping, further includes the real-time optimization of processing parameter, data processing
Information source accept from database and its processing result flows into knowledge mapping, knowledge mapping include Knowledge Extraction, knowledge fusion with
And knowledge store.
The data processing include respectively to text data carry out natural language processing technique, to graphic image data into
Capable depth learning technology, and the machine learning model for document classification；
Text information acquisition and extraction use natural language processing technique, carry out article subject analysis, and sentiment analysis is crucial
Personage and entity analysis, main matter analysis, time and location analysis etc., it is raw for text that textrank algorithm can be used in this process
At keyword and abstract；The word in corpus is converted to vector to carry out various calculating etc. using word2vector algorithm；
The analysis of graph image use depth learning technology, such as using CNN (convolutional neural networks) carry out feature extraction and
Feature Mapping, the information such as personage, gender, background, movement in analysis picture；
Document classification uses machine learning model, this can mark diversification label in the process for data, using classification and in advance
Method of determining and calculating is labeled document automatically；Using the identical document of clustering algorithm automatic clustering, the automatic classification of new document is realized；
Judgement classification is carried out using logistic regression algorithm；Disaggregated model is established using NB Algorithm, carries out feature tag classification
Deng.
Data processing further includes the Noise reducing of data through entire data handling procedure, and Noise reducing of data will filter off pole and lack generation
The edge data of table, improves the linear degree of big data statistical result, and data processed result is in structural data and half structure
Change data and flows into knowledge mapping.
The Knowledge Extraction can be by extracting structured content and be converted into knowledge in data processed result, including entity is taken out
It takes, Relation extraction and attribute extraction, for this system, main and necessary extraction range is that cell information, infrastructure management company believe
Breath, owner's representative information, owners' committee, supplier information, laws and regulations, media event, this system user are attached to, ask
It answers, test, the element in classroom etc..
The knowledge fusion includes Data Integration, entity alignment, ontological construction, knowledge reasoning and quality evaluation, Neng Gou
Its relationship and attribute are further processed on the solid foundation of extraction, become more intuitive, the information being easy to understand, and know
Knowledge mapping will be flowed by knowing fused data, and the knowledge mapping of mainstream mainly uses rdf model, convenient for doing to a large amount of data
Out the arrangement based on metadata and it is quick extract, and for the storage of knowledge mainly using such as Neo4j of the database based on figure,
OrientDB etc., to reduce information content and accelerate retrieving.
Inductive algorithm (the inductive logic of logic-based can be used during Knowledge Extraction and knowledge fusion
Algorithm), distance model (latent distance models) is implied, the sort algorithm (path based on path
Ranking) etc..
The application module includes intelligent answer program, knowledge intelligent search program and the intelligence based on knowledge mapping
Can recommended program, further include can be obtained by intelligent answer program, knowledge intelligent search program and intelligent recommendation program it is anti-
Present data.
User can select intelligent answer program or knowledge intelligent search program to carry out according to the habit and instant demand of oneself
It operates with.In intelligent answer program, it can be extracted according to enquirement and infer keyword, and make corresponding model in knowledge mapping
Key message is applied language template and answerred questions to user by the retrieval enclosed.And intelligent answer can be selected text question-answering mode and
Voice response mode based on intelligent sound simulates the operation mode of people's social software used in everyday, user of being more convenient for
Habit operates with, and expands target user's range, and improve the user experience.
This kind of intelligent answer recommender system is the vertical applications to Owners Committee field based on artificial intelligence, so its
Optimize the business characteristic that direction and angle will be directed to Owners Committee, aspect is mainly recommended by Knowledge Extraction fusion aspect and intelligent answer
It optimizes, wherein the relevant law of Owners Committee is mainly extracted according to the related service of Owners Committee and merged in Knowledge Extraction and fusion
Regulatory information, and intelligent answer and recommendation aspect then utilize the question and answer stream and Template Information of some formulations.
The feedback data will flow to the real-time optimization of processing parameter, the real-time optimization and data processing of information of processing parameter
Mutually circulation reference, the data source of the real-time optimization of processing parameter further include data update and the engineering of data collection module
The update of model is practised, based in the update in new data, learning model will be more accurate according to the increase of data volume, needs simultaneously
Constantly to optimize and revise model and parameter；The variation of various laws and regulations, cell or property information is required to timely update；Together
When user feedback, the team badges such as course of participation change to the experience of user, change, crowd's focus of old and new users etc.
Data show in the form of dynamic data；Furthermore media event also will generate certain guiding performance for industry hair dynamic；
Based on above information, Knowledge Extraction and knowledge fusion will change, to update knowledge mapping, provide and more make laughs and essence
True intelligent answer and recommendation service.
It although an embodiment of the present invention has been shown and described, for the ordinary skill in the art, can be with
A variety of variations, modification, replacement can be carried out to these embodiments without departing from the principles and spirit of the present invention by understanding
And modification, the scope of the present invention is defined by the appended.
Claims (6)
1. a kind of Owners Committee's intelligent Answer System based on artificial intelligence, including data collection module, processing module and apply mould
Block, the data collection module, processing module and application module are sequentially connected, it is characterised in that:
The data collection module includes the web crawlers technology for handling common data source, has data collection service and right by oneself
The Data Integration and database answered, the web crawlers technology and data integrated results data come together in database；
The processing module includes data processing and knowledge mapping, further includes the real-time optimization of processing parameter, the letter of data processing
Breath source is accepted from database and its processing result flows into knowledge mapping, and knowledge mapping includes Knowledge Extraction, knowledge fusion and knows
Know storage；
The application module includes that intelligent answer program, knowledge intelligent search program and the intelligence based on knowledge mapping push away
Program is recommended, further includes the feedback coefficient that can be obtained by intelligent answer program, knowledge intelligent search program and intelligent recommendation program
According to.
2. a kind of Owners Committee's intelligent Answer System based on artificial intelligence according to claim 1, it is characterised in that: described
The data source of web crawlers technology includes Web news, governments and laws regulation, Web graph picture and Web audio frequency and video.
3. a kind of Owners Committee's intelligent Answer System based on artificial intelligence according to claim 1, it is characterised in that: described
Own data collection service includes unstructured data and structural data, and unstructured data includes cell, forum, question and answer,
Cell data is originated from government information and commercial podium information, and structural data includes the public praise of test, course and various dimensions.
4. a kind of Owners Committee's intelligent Answer System based on artificial intelligence according to claim 1, it is characterised in that: described
Data processing includes the natural language processing technique carried out respectively to text data, the deep learning carried out to graphic image data
Technology, and further include the Noise reducing of data through entire data handling procedure, data for the machine learning model of document classification
Processing result flows into knowledge mapping in structural data and semi-structured data.
5. a kind of Owners Committee's intelligent Answer System based on artificial intelligence according to claim 1, it is characterised in that: described
Knowledge Extraction can be by extracting structured content and be converted into knowledge in data processed result, including entity extracts, Relation extraction
And attribute extraction, the knowledge fusion include Data Integration, entity alignment, ontological construction, knowledge reasoning and quality evaluation.
6. a kind of Owners Committee's intelligent Answer System based on artificial intelligence according to claim 1, it is characterised in that: described
Feedback data flows to the real-time optimization of processing parameter, and the real-time optimization and data processing of information of processing parameter mutually circulate reference,
The data source of the real-time optimization of processing parameter further includes the data update and the update of learning model of data collection module.
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| CN110008327A (en) * | 2019-04-01 | 2019-07-12 | 河北省讯飞人工智能研究院 | Law answers generation method and device |
| CN110175227A (en) * | 2019-05-10 | 2019-08-27 | 神思电子技术股份有限公司 | A kind of dialogue auxiliary system based on form a team study and level reasoning |
| CN110188248A (en) * | 2019-05-28 | 2019-08-30 | 新华网股份有限公司 | Data processing method, device and electronic equipment based on news question and answer interactive system |
| CN110197280A (en) * | 2019-05-20 | 2019-09-03 | 中国银行股份有限公司 | A kind of knowledge mapping construction method, apparatus and system |
| CN110347898A (en) * | 2019-06-28 | 2019-10-18 | 北京牡丹电子集团有限责任公司宁安智慧工程中心 | A kind of the response generation method and system of network public-opinion monitoring |
| CN110377715A (en) * | 2019-07-23 | 2019-10-25 | 天津汇智星源信息技术有限公司 | Reasoning type accurate intelligent answering method based on legal knowledge map |
| CN110580291A (en) * | 2019-07-29 | 2019-12-17 | 用友网络科技股份有限公司 | Intelligent searching method based on ERP customer service knowledge graph and computer equipment |
| CN110795660A (en) * | 2019-09-26 | 2020-02-14 | 北京大米科技有限公司 | Data analysis method, data analysis device, electronic device, and medium |
| CN111324715A (en) * | 2020-02-18 | 2020-06-23 | 北京百度网讯科技有限公司 | Method and device for generating question-answering robot |
| CN111680027A (en) * | 2020-06-08 | 2020-09-18 | 赛特斯信息科技股份有限公司 | Method and system for realizing intelligent cloud management based on knowledge drive |
| CN112214654A (en) * | 2020-10-19 | 2021-01-12 | 厦门渊亭信息科技有限公司 | Universal intelligent question-answering automatic operation and maintenance system and method |
| CN112581327A (en) * | 2020-11-17 | 2021-03-30 | 天津汇智星源信息技术有限公司 | Knowledge graph-based law recommendation method and device and electronic equipment |
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| CN110008327A (en) * | 2019-04-01 | 2019-07-12 | 河北省讯飞人工智能研究院 | Law answers generation method and device |
| CN110008327B (en) * | 2019-04-01 | 2022-01-14 | 河北省讯飞人工智能研究院 | Legal answer generation method and device |
| CN110175227A (en) * | 2019-05-10 | 2019-08-27 | 神思电子技术股份有限公司 | A kind of dialogue auxiliary system based on form a team study and level reasoning |
| CN110175227B (en) * | 2019-05-10 | 2021-03-02 | 神思电子技术股份有限公司 | Dialogue auxiliary system based on team learning and hierarchical reasoning |
| CN110197280B (en) * | 2019-05-20 | 2021-08-06 | 中国银行股份有限公司 | Knowledge graph construction method, device and system |
| CN110197280A (en) * | 2019-05-20 | 2019-09-03 | 中国银行股份有限公司 | A kind of knowledge mapping construction method, apparatus and system |
| CN110188248A (en) * | 2019-05-28 | 2019-08-30 | 新华网股份有限公司 | Data processing method, device and electronic equipment based on news question and answer interactive system |
| CN110347898A (en) * | 2019-06-28 | 2019-10-18 | 北京牡丹电子集团有限责任公司宁安智慧工程中心 | A kind of the response generation method and system of network public-opinion monitoring |
| CN110377715A (en) * | 2019-07-23 | 2019-10-25 | 天津汇智星源信息技术有限公司 | Reasoning type accurate intelligent answering method based on legal knowledge map |
| CN110580291A (en) * | 2019-07-29 | 2019-12-17 | 用友网络科技股份有限公司 | Intelligent searching method based on ERP customer service knowledge graph and computer equipment |
| CN110795660A (en) * | 2019-09-26 | 2020-02-14 | 北京大米科技有限公司 | Data analysis method, data analysis device, electronic device, and medium |
| CN110795660B (en) * | 2019-09-26 | 2022-10-18 | 北京大米科技有限公司 | Data analysis method, data analysis device, electronic device, and medium |
| CN111324715A (en) * | 2020-02-18 | 2020-06-23 | 北京百度网讯科技有限公司 | Method and device for generating question-answering robot |
| CN111680027A (en) * | 2020-06-08 | 2020-09-18 | 赛特斯信息科技股份有限公司 | Method and system for realizing intelligent cloud management based on knowledge drive |
| CN112214654A (en) * | 2020-10-19 | 2021-01-12 | 厦门渊亭信息科技有限公司 | Universal intelligent question-answering automatic operation and maintenance system and method |
| CN112581327A (en) * | 2020-11-17 | 2021-03-30 | 天津汇智星源信息技术有限公司 | Knowledge graph-based law recommendation method and device and electronic equipment |
| CN112581327B (en) * | 2020-11-17 | 2022-12-02 | 天津汇智星源信息技术有限公司 | Knowledge graph-based law recommendation method and device and electronic equipment |
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