CN105354286A - Regulatory problem query method and apparatus - Google Patents
Regulatory problem query method and apparatus Download PDFInfo
- Publication number
- CN105354286A CN105354286A CN201510729112.5A CN201510729112A CN105354286A CN 105354286 A CN105354286 A CN 105354286A CN 201510729112 A CN201510729112 A CN 201510729112A CN 105354286 A CN105354286 A CN 105354286A
- Authority
- CN
- China
- Prior art keywords
- regulatory
- user
- data
- regulation
- query
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 230000001105 regulatory effect Effects 0.000 title claims abstract description 112
- 238000000034 method Methods 0.000 title claims abstract description 50
- 238000012545 processing Methods 0.000 claims abstract description 32
- 230000002452 interceptive effect Effects 0.000 claims abstract description 23
- 230000008569 process Effects 0.000 claims description 18
- 238000004519 manufacturing process Methods 0.000 claims description 10
- 238000010276 construction Methods 0.000 claims description 6
- 230000003993 interaction Effects 0.000 description 12
- 230000000694 effects Effects 0.000 description 6
- 238000010586 diagram Methods 0.000 description 5
- 238000009826 distribution Methods 0.000 description 4
- 238000012423 maintenance Methods 0.000 description 4
- 239000000463 material Substances 0.000 description 4
- 230000006870 function Effects 0.000 description 3
- 239000008267 milk Substances 0.000 description 3
- 210000004080 milk Anatomy 0.000 description 3
- 235000013336 milk Nutrition 0.000 description 3
- 238000003860 storage Methods 0.000 description 3
- 230000002567 autonomic effect Effects 0.000 description 2
- 238000004364 calculation method Methods 0.000 description 2
- 238000013461 design Methods 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 238000013507 mapping Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000012544 monitoring process Methods 0.000 description 2
- 230000008520 organization Effects 0.000 description 2
- 230000000737 periodic effect Effects 0.000 description 2
- 230000008439 repair process Effects 0.000 description 2
- 238000012827 research and development Methods 0.000 description 2
- 239000000758 substrate Substances 0.000 description 2
- WHXSMMKQMYFTQS-UHFFFAOYSA-N Lithium Chemical compound [Li] WHXSMMKQMYFTQS-UHFFFAOYSA-N 0.000 description 1
- 230000004075 alteration Effects 0.000 description 1
- 210000003754 fetus Anatomy 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- 229910052744 lithium Inorganic materials 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 230000002441 reversible effect Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/951—Indexing; Web crawling techniques
Landscapes
- Engineering & Computer Science (AREA)
- Databases & Information Systems (AREA)
- Theoretical Computer Science (AREA)
- Data Mining & Analysis (AREA)
- Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
Abstract
The present invention proposes a regulatory problem query method and apparatus. The regulatory problem query method comprises: acquiring alternative data, wherein the alternative data comprises one or more of the following terms: data provided by a regulatory knowledge base and data provided by a customer service system; receiving a regulatory problem input by a user, and according to the regulatory problem and the alternative data, performing one or more terms of the following processing: query, reasoning and service matching, so as to obtain a query result or multiple rounds of interactive information; and showing the query result or the multiple rounds of interactive information to the user by a user interface. By using the regulatory problem method provided by the present invention, query requirements of the user for the regulatory problem can be better met.
Description
Technical Field
The invention relates to the technical field of internet, in particular to a method and a device for inquiring regulation problems.
Background
The user may consult data, consult related personnel, etc. online in order to obtain answers to the regulatory questions, or may make queries online through a search engine. When the query is performed by a search engine, research and study have revealed that the user has a strong demand for the regulatory issues, whether it is on a Personal Computer (PC) side or a mobile side. However, in the prior art, the query result returned by the search engine is usually a large batch of results, and the user needs to pick the results again, which cannot well meet the user requirements.
Disclosure of Invention
The present invention is directed to solving, at least to some extent, one of the technical problems in the related art.
Therefore, an object of the present invention is to provide a method for querying a regulatory problem, which can better meet the query requirement of a user for the regulatory problem.
Another object of the present invention is to provide a query device for regulatory issues.
In order to achieve the above object, an embodiment of the first aspect of the present invention provides a method for querying a regulatory problem, including: obtaining alternative data, the alternative data including one or more of: data provided by a regulation knowledge base and data provided by a customer service system; receiving a user input of a regulatory issue, and based on the regulatory issue and the alternative data, performing one or more of the following: inquiring, reasoning and service matching to obtain an inquiry result or multiple rounds of interactive information; and displaying the query result or the multiple rounds of interactive information to a user through a user interface.
The method for querying the regulatory issues provided in the embodiment of the first aspect of the present invention can better understand the regulatory issues input by the user by acquiring the alternative data from different ways and processing the data in different manners according to the regulatory issues and the alternative data, so as to better meet the user requirements.
In order to achieve the above object, an apparatus for querying a regulatory problem according to an embodiment of the second aspect of the present invention includes: an obtaining module, configured to obtain alternative data, where the alternative data includes one or more of the following: data provided by a regulation knowledge base and data provided by a customer service system; a processing module for receiving the regulation problem input by the user, and performing one or more of the following processes according to the regulation problem and the alternative data: inquiring, reasoning and service matching to obtain an inquiry result or multiple rounds of interactive information; and the display module is used for displaying the query result or the multiple rounds of interactive information to a user through a user interface.
The device for querying the regulatory issues according to the embodiment of the second aspect of the present invention can better understand the regulatory issues input by the user by acquiring the alternative data from different ways and performing the processing in different manners according to the regulatory issues and the alternative data, so as to better meet the user requirements.
Additional aspects and advantages of the invention will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the invention.
Drawings
The foregoing and/or additional aspects and advantages of the present invention will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings of which:
FIG. 1 is a flow chart illustrating a method for querying regulatory issues in accordance with an embodiment of the present invention;
FIG. 2 is a schematic structural diagram of a system according to an embodiment of the present invention;
FIG. 3 is a flow chart illustrating a method for querying regulatory issues in accordance with another embodiment of the present invention;
FIGS. 4-7 are schematic diagrams illustrating query results corresponding to different rule-based questions, respectively, in an embodiment of the present invention;
FIG. 8 is a flow chart illustrating a method for querying regulatory issues in accordance with another embodiment of the present invention;
FIG. 9 is a schematic diagram of a query device for providing a rule-like question according to another embodiment of the present invention;
fig. 10 is a schematic structural diagram of a query device for proposing a regulation-type question according to another embodiment of the present invention.
Detailed Description
Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar modules or modules having the same or similar functionality throughout. The embodiments described below with reference to the accompanying drawings are illustrative only for the purpose of explaining the present invention, and are not to be construed as limiting the present invention. On the contrary, the embodiments of the invention include all changes, modifications and equivalents coming within the spirit and terms of the claims appended hereto.
Fig. 1 is a flowchart illustrating a method for querying a regulatory problem according to an embodiment of the present invention, the method including:
s11: obtaining alternative data, the alternative data including one or more of: data provided by a regulatory knowledge base, data provided by a customer service system.
The present embodiment includes the following optional data: data provided by the regulatory knowledge base and data provided by the customer service system are examples.
For example, referring to fig. 2, the system corresponding to the present embodiment may include: a regulatory knowledge base 21 and a customer service system 22.
Referring to fig. 3, the regulatory knowledge base may be generated using the following process:
s31: the regulation class data is obtained from a publishing source of the regulation class data.
Regulatory data refers to official policy and regulations, and to applicable axiom and common knowledge, instructions for use and maintenance, etc. Each of the above categories may be subdivided into a number of branches, such as "policy and regulation," which is defined as follows: policy-government agencies make promulgated systems, regulations, documents, standards, etc.; rules-referring to constitution, laws, administrative laws, local laws, autonomic and unibody regulations, etc. Further, as the "instructions for use", it is a branch very close to the life of the user, and includes instructions for use, maintenance, and repair of products issued by the official entities such as the manufacturer. In addition to the two categories of examples described above, there are many other categories of regulatory content, and in short, any reliable source, official writing and distribution of the nature of things, corrective actions, treatment or use methods, procedures, penalties, contact … …, etc. can be considered as "regulatory-like data" in the present application.
The regulation data may be obtained by automatically monitoring and capturing the release source from a government, an organization, or a manufacturer via the internet, or may be obtained by manually collating the regulation data in electronic form or paper form of the release source.
Specifically, when the regulation data is acquired from the release source, the handling control of indexes such as timeliness, accuracy and coverage rate can be concerned, so that the timely and accurate regulation data with abundant items can be acquired.
S32: and performing knowledge production processing on the regulation data.
The knowledge production process performs processes such as availability, structuring, knowledge mapping, security management, etc. on the acquired regulatory data.
For example, different formats (e.g., scans of government documents and electronic versions containing forms, etc.) may be processed to unify the available specifications in terms of availability.
S33: the processed regulatory class data is stored in a regulatory knowledge base.
Through knowledge production processing of the regulatory-class data, high quality, highly available regulatory-class processing may be obtained, after which such data may be saved in a regulatory knowledge base.
Through the knowledge production processing, the regulation knowledge base is not only a massive database for storing data in the traditional sense, but also a system capable of properly processing, effectively applying and safely keeping the data by using a knowledge map or other advanced ideas and technologies.
After obtaining the above-mentioned regulation knowledge base, at the time of information inquiry, the inquiry result corresponding to the regulation problem input by the user can be inquired in the regulation knowledge base.
In some embodiments, another source of providing data is a customer service system, which may provide more intelligent answers to the user.
The customer service system may include one or more of the following:
the system comprises an expert system, an artificial customer service system and an intelligent robot system.
The expert system is accessed to authoritative persons in corresponding fields and organizations, and provides online or offline consultation support, information distribution, or periodic special activities and the like, so that the understanding of the regulation data is facilitated.
The manual customer service system helps the user to complete the query more quickly and accurately by manual work so as to provide more detailed, personalized and secretarial services, such as switching over a specific department which is locally responsible for a certain affair for the user, helping the user to arrange needed procedures and materials, answering more complex questions which are difficult to process by a machine, and the like.
The intelligent robot system can automatically interact with people based on the technical core of the application, and the problem is solved.
S12: receiving a user input of a regulatory issue, and based on the regulatory issue and the alternative data, performing one or more of the following: and inquiring, reasoning and service matching to obtain an inquiry result or multiple rounds of interactive information.
The regulatory issues include queries for the full or partial rules of the regulations themselves ("the latest Beijing City Protococculation regulations", "rules about fraud in criminal law", "fifth rule of labor contract law", "rules for airport safety inspection lithium batteries"), reasoning on sufficient or insufficient conditions in a certain scenario ("I am a solitary son, old woman has a sister, can be born a second fetus", "milk cannot be carried on an airplane"), and other regulatory-related requirements. When the user puts forward the problems, the problems can be disposable or can be added continuously in multiple rounds; the answer acquisition can be the ultimate goal, and the subsequent service or the requirement of deeper level can be expected.
For example, referring to fig. 2, the system corresponding to the present embodiment may further include: a subsystem 23, the subsystem 23 having one or more of querying, reasoning, service matching capabilities. For example, the subsystem may be a search engine, a service engine, and the like.
Through the processing, the selectable data is not the characters piled up in a carved board any more, but can be understood by a machine and can be used as a substrate for automatically solving the problem, so that the requirements of users are better met, and the problem caused by the fact that the users select information by themselves is avoided.
Specifically, the subsystem may be subdivided into engine units respectively corresponding to query, inference and service matching, and may be subdivided into a query engine and an inference engine, where the query engine is configured to process query-like problems (query) and the inference engine is configured to process inference-like problems, taking query and inference as examples. The query engine and the inference engine can respectively have a query algorithm or an inference algorithm and the like which meet the requirements of the query engine and the inference engine.
In some embodiments, the query result may be obtained from the above processing for the regulatory issues entered by the user, and the query result may be returned to the user. Or,
in some embodiments, when the user input problem is complex, multiple rounds of interaction may be invoked, and the situations of insufficient conditions or ambiguous expression and the like are converted into situations that can be calculated and result obtained by clarifying the user query purpose step by step and guiding the user to better express the requirement, and the situations are returned to the user as multiple rounds of interaction information. For example, when the user asks "how can the milk take an airplane", the system will provide some key questions for reasoning, in the form of selection, etc., according to the relevant regulations, asking him to continue to replenish the conditions, such as if the individual packages exceed 100ml, if the total exceeds 1L, if it is not sealed … …, etc.
S13: and displaying the query result or the multiple rounds of interactive information to a user through a user interface.
For example, referring to fig. 2, the system corresponding to the present embodiment may further include: and the user interface 24 is used for receiving the regulation problems input by the user and displaying the regulation problems to the user by the user interface when the sub-system obtains the query result or the multiple rounds of interaction information. When inputting the regulation problem, the user can input the regulation problem in the modes of text, voice, pictures and the like.
Taking the presentation of the query results as an example, the query results corresponding to different types of regulatory issues may be presented in different styles.
Different classes of regulatory issues may include, for example: the regulatory class of questions for partial queries, the regulatory class of questions for full-text queries, and the regulatory class of questions for inferences. The query may be a query of "second-child policy in Guiyang city", a query of full text may be a query of "latest labor contract law", and an inference may be a query of "second-child policy in inner Mongolian city".
Specifically, for example, when the regulatory issue 41 is a partial query regulatory issue, the corresponding query result 42 may be as shown in FIG. 4. As another example, when the regulatory issue 51 is a full text query regulatory issue, the corresponding query result 52 may be as shown in FIG. 5. As another example, when the regulatory issue 61 is a reasoning-class regulatory issue, the corresponding query result 62 may be as shown in FIG. 6. As another example, when the regulatory class problem 71 is another inference class of regulatory problems, the corresponding query result 72 may be as shown in FIG. 7. As can be seen from fig. 6 and 7, even though both are inference-type regulatory questions, there may be a definite answer (fig. 7) or no definite answer (fig. 6) in the query result depending on the specific content of the regulatory questions.
Through the processing, a more direct query result can be provided for the user, or multiple rounds of interaction information can be provided for the user, so that the user requirements can be met through multiple rounds of interaction. It is understood that one or more of the following processes may be included in addition to the above-described flow: question (query) resolution, voice retrieval, recommendation, personalization, payment, user management, and the like.
In some embodiments, referring to fig. 8, S12 may specifically include:
s81: receiving a user input of a regulatory issue.
S82: a subsystem providing a service is determined.
Wherein the subsystem providing the service can be determined according to different use scenes and/or different users.
Subsystems such as search engines, service engines, etc.
S83: performing, by the subsystem providing services, one or more of the following based on the regulatory issues and the alternative data: and inquiring, reasoning and service matching to obtain an inquiry result or multiple rounds of interactive information.
The different subsystems can acquire the regulation data from different publishing sources, and can process the acquired regulation data in different processing modes to meet the personalized requirements of different use scenarios and/or different users.
Different subsystems can be located in different products, and accordingly, the query result or multiple rounds of interaction information can be displayed by the user interface of the product where the subsystem providing the service is located during displaying (S84).
In this embodiment, the data acquisition and construction effect and the effect of satisfying the user's needs are further optimized by constructing a platform with rich types and a product echelon with definite division of labor.
In some embodiments, different products can be combined, so that products designed for different use scenes and different user groups have different emphasis but are not single, and can be organically and smoothly combined to fully exert respective advantages. For example, query results appear in the form of search cards, which guide vertical search channels, featured middle pages, and drive the user population of APPs and other products and services to grow.
In this embodiment, by acquiring the optional data from different ways and performing the processing in different manners according to the regulatory issues and the optional data, the regulatory issues input by the user can be better understood, so as to better meet the user requirements. Specifically, by integrating data construction in the field of regulation data, advanced reasoning and calculation capability research and development, flexible, concise and interactive interface design and a customer service system containing experts, the regulation problems closely related to the daily life of people are changed from complexity to conciseness and from mechanization to intelligence, and a solution is presented in a more elegant, reliable and efficient manner.
Fig. 9 is a schematic structural diagram of a query device for proposing a regulation-type question according to another embodiment of the present invention, where the device 90 includes: an acquisition module 91, a processing module 92 and a presentation module 93.
An obtaining module 91, configured to obtain alternative data, where the alternative data includes one or more of the following: data provided by a regulation knowledge base and data provided by a customer service system;
the present embodiment includes the following optional data: data provided by the regulatory knowledge base and data provided by the customer service system are examples.
For example, referring to fig. 2, the system corresponding to the present embodiment may include: a regulatory knowledge base 21 and a customer service system 22.
In some embodiments, referring to fig. 10, the apparatus 90 further comprises:
a data construction module 94 for obtaining the regulatory class data from a source of release of the regulatory class data; performing knowledge production processing on the regulation class data; the processed regulatory class data is stored in a regulatory knowledge base.
Regulatory data refers to official policy and regulations, and to applicable axiom and common knowledge, instructions for use and maintenance, etc. Each of the above categories may be subdivided into a number of branches, such as "policy and regulation," which is defined as follows: policy-government agencies make promulgated systems, regulations, documents, standards, etc.; rules-referring to constitution, laws, administrative laws, local laws, autonomic and unibody regulations, etc. Further, as the "instructions for use", it is a branch very close to the life of the user, and includes instructions for use, maintenance, and repair of products issued by the official entities such as the manufacturer. In addition to the two categories of examples described above, there are many other categories of regulatory content, and in short, any reliable source, official writing and distribution of the nature of things, corrective actions, treatment or use methods, procedures, penalties, contact … …, etc. can be considered as "regulatory-like data" in the present application.
The regulation data may be obtained by automatically monitoring and capturing the release source from a government, an organization, or a manufacturer via the internet, or may be obtained by manually collating the regulation data in electronic form or paper form of the release source.
Specifically, when the regulation data is acquired from the release source, the handling control of indexes such as timeliness, accuracy and coverage rate can be concerned, so that the timely and accurate regulation data with abundant items can be acquired.
The knowledge production process performs processes such as availability, structuring, knowledge mapping, security management, etc. on the acquired regulatory data.
For example, different formats (e.g., scans of government documents and electronic versions containing forms, etc.) may be processed to unify the available specifications in terms of availability.
Through knowledge production processing of the regulatory-class data, high quality, highly available regulatory-class processing may be obtained, after which such data may be saved in a regulatory knowledge base.
Through the knowledge production processing, the regulation knowledge base is not only a massive database for storing data in the traditional sense, but also a system capable of properly processing, effectively applying and safely keeping the data by using a knowledge map or other advanced ideas and technologies.
After obtaining the above-mentioned regulation knowledge base, at the time of information inquiry, the inquiry result corresponding to the regulation problem input by the user can be inquired in the regulation knowledge base.
In some embodiments, another source of providing data is a customer service system, which may provide more intelligent answers to the user.
The customer service system may include one or more of the following:
the system comprises an expert system, an artificial customer service system and an intelligent robot system.
The expert system is accessed to authoritative persons in corresponding fields and organizations, and provides online or offline consultation support, information distribution, or periodic special activities and the like, so that the understanding of the regulation data is facilitated.
The manual customer service system helps the user to complete the query more quickly and accurately by manual work so as to provide more detailed, personalized and secretarial services, such as switching over a specific department which is locally responsible for a certain affair for the user, helping the user to arrange needed procedures and materials, answering more complex questions which are difficult to process by a machine, and the like.
The intelligent robot system can automatically interact with people based on the technical core of the application, and the problem is solved.
A processing module 92, configured to receive a user-entered regulatory issue, and perform one or more of the following processes according to the regulatory issue and the alternative data: inquiring, reasoning and service matching to obtain an inquiry result or multiple rounds of interactive information;
for example, referring to fig. 2, the system corresponding to the present embodiment may further include: a subsystem 23, the subsystem 23 having one or more of querying, reasoning, service matching capabilities. The subsystems are, for example, search engines, service engines, etc.
Through the processing, the selectable data is not the characters piled up in a carved board any more, but can be understood by a machine and can be used as a substrate for automatically solving the problem, so that the requirements of users are better met, and the problem caused by the fact that the users select information by themselves is avoided.
Specifically, the subsystem may be subdivided into engine units respectively corresponding to query, inference and service matching, and may be subdivided into a query engine and an inference engine, where the query engine is configured to process query-like problems (query) and the inference engine is configured to process inference-like problems, taking query and inference as examples. The query engine and the inference engine can respectively have a query algorithm or an inference algorithm and the like which meet the requirements of the query engine and the inference engine.
In some embodiments, the query result may be obtained from the above processing for the regulatory issues entered by the user, and the query result may be returned to the user. Or,
in some embodiments, when the user input problem is complex, multiple rounds of interaction may be invoked, and the situations of insufficient conditions or ambiguous expression and the like are converted into situations that can be calculated and result obtained by clarifying the user query purpose step by step and guiding the user to better express the requirement, and the situations are returned to the user as multiple rounds of interaction information. For example, when the user asks "how can the milk take an airplane", the system will provide some key questions for reasoning, in the form of selection, etc., according to the relevant regulations, asking him to continue to replenish the conditions, such as if the individual packages exceed 100ml, if the total exceeds 1L, if it is not sealed … …, etc.
And the display module 93 is configured to display the query result or the multiple rounds of interaction information to a user through a user interface.
Optionally, the display module is specifically configured to:
and displaying the query results corresponding to the different types of regulation problems to the user in different styles through the user interface.
Optionally, the different categories of regulatory issues include:
a partial query, a full query, or an inference class.
Optionally, the receiving of the user input of a regulatory issue includes:
receiving a regulation problem input by a user in a text, voice or picture form.
For example, referring to fig. 2, the system corresponding to the present embodiment may further include: and the user interface 24 is used for receiving the regulation problems input by the user and displaying the regulation problems to the user by the user interface when the sub-system obtains the query result or the multiple rounds of interaction information. When inputting the regulation problem, the user can input the regulation problem in the modes of text, voice, pictures and the like.
Taking the presentation of the query results as an example, the query results corresponding to different types of regulatory issues may be presented in different styles.
Different classes of regulatory issues may include, for example: the regulatory class of questions for partial queries, the regulatory class of questions for full-text queries, and the regulatory class of questions for inferences. The query may be a query of "second-child policy in Guiyang city", a query of full text may be a query of "latest labor contract law", and an inference may be a query of "second-child policy in inner Mongolian city".
Specifically, for example, when the regulatory issue 41 is a partial query regulatory issue, the corresponding query result 42 may be as shown in FIG. 4. As another example, when the regulatory issue 51 is a full text query regulatory issue, the corresponding query result 52 may be as shown in FIG. 5. As another example, when the regulatory issue 61 is a reasoning-class regulatory issue, the corresponding query result 62 may be as shown in FIG. 6. As another example, when the regulatory class problem 71 is another inference class of regulatory problems, the corresponding query result 72 may be as shown in FIG. 7.
Through the processing, a more direct query result can be provided for the user, or multiple rounds of interaction information can be provided for the user, so that the user requirements can be met through multiple rounds of interaction. It is understood that one or more of the following processes may be included in addition to the above-described flow: question (query) resolution, voice retrieval, recommendation, personalization, payment, user management, and the like.
In some embodiments, the receiving the user-entered regulatory issue, and based on the regulatory issue and the alternative data, performing one or more of the following: inquiring, reasoning and service matching to obtain an inquiry result or multiple rounds of interactive information, wherein the inquiry result or the multiple rounds of interactive information comprises the following steps:
receiving a user input of a regulatory issue;
determining a subsystem providing a service;
performing, by the subsystem providing services, one or more of the following based on the regulatory issues and the alternative data: and inquiring, reasoning and service matching to obtain an inquiry result or multiple rounds of interactive information.
Wherein the subsystem providing the service can be determined according to different use scenes and/or different users.
The different subsystems can acquire the regulation data from different publishing sources, and can process the acquired regulation data in different processing modes to meet the personalized requirements of different use scenarios and/or different users.
Different subsystems can be located in different products, and accordingly, the user interface of the product where the subsystem providing the service is located can be displayed when the subsystem providing the service is displayed (S84).
In this embodiment, the data acquisition and construction effect and the effect of satisfying the user's needs are further optimized by constructing a platform with rich types and a product echelon with definite division of labor.
In some embodiments, different products can be combined, so that products designed for different use scenes and different user groups have different emphasis but are not single, and can be organically and smoothly combined to fully exert respective advantages. For example, query results appear in the form of search cards, which guide vertical search channels, featured middle pages, and drive the user population of APPs and other products and services to grow.
In this embodiment, by acquiring the optional data from different ways and performing the processing in different manners according to the regulatory issues and the optional data, the regulatory issues input by the user can be better understood, so as to better meet the user requirements. Specifically, by integrating data construction in the field of regulation data, advanced reasoning and calculation capability research and development, flexible, concise and interactive interface design and a customer service system containing experts, the regulation problems closely related to the daily life of people are changed from complexity to conciseness and from mechanization to intelligence, and a solution is presented in a more elegant, reliable and efficient manner.
It should be noted that the terms "first," "second," and the like in the description of the present invention are used for descriptive purposes only and are not to be construed as indicating or implying relative importance. Further, in the description of the present invention, the meaning of "a plurality" means at least two unless otherwise specified.
Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing specific logical functions or steps of the process, and alternate implementations are included within the scope of the preferred embodiment of the present invention in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the present invention.
It should be understood that portions of the present invention may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the various steps or methods may be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
It will be understood by those skilled in the art that all or part of the steps carried by the method for implementing the above embodiments may be implemented by hardware related to instructions of a program, which may be stored in a computer readable storage medium, and when the program is executed, the program includes one or a combination of the steps of the method embodiments.
In addition, functional units in the embodiments of the present invention may be integrated into one processing module, or each unit may exist alone physically, or two or more units are integrated into one module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode. The integrated module, if implemented in the form of a software functional module and sold or used as a stand-alone product, may also be stored in a computer readable storage medium.
The storage medium mentioned above may be a read-only memory, a magnetic or optical disk, etc.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
Although embodiments of the present invention have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present invention, and that variations, modifications, substitutions and alterations can be made to the above embodiments by those of ordinary skill in the art within the scope of the present invention.
Claims (12)
1. A method for querying a regulatory issue, comprising:
obtaining alternative data, the alternative data including one or more of: data provided by a regulation knowledge base and data provided by a customer service system;
receiving a user input of a regulatory issue, and based on the regulatory issue and the alternative data, performing one or more of the following: inquiring, reasoning and service matching to obtain an inquiry result or multiple rounds of interactive information;
and displaying the query result or the multiple rounds of interactive information to a user through a user interface.
2. The method of claim 1, further comprising:
obtaining the regulation class data from a publishing source of the regulation class data;
performing knowledge production processing on the regulation class data;
the processed regulatory class data is stored in a regulatory knowledge base.
3. The method of claim 1, wherein the customer service system comprises one or more of:
the system comprises an expert system, an artificial customer service system and an intelligent robot system.
4. The method of claim 1, wherein presenting the query results to the user via a user interface comprises:
and displaying the query results corresponding to the different types of regulation problems to the user in different styles through the user interface.
5. The method of claim 4, wherein the different categories of regulatory issues include:
a partial query, a full query, or an inference class.
6. The method of claim 1, wherein receiving a user input of a regulatory issue comprises:
receiving a regulation problem input by a user in a text, voice or picture form.
7. The method of any of claims 1-6, wherein the receiving a user-entered regulatory issue, based on the regulatory issue and the alternative data, performs one or more of the following: inquiring, reasoning and service matching to obtain an inquiry result or multiple rounds of interactive information, wherein the inquiry result or the multiple rounds of interactive information comprises the following steps:
receiving a user input of a regulatory issue;
determining a subsystem providing a service;
performing, by the subsystem providing services, one or more of the following based on the regulatory issues and the alternative data: and inquiring, reasoning and service matching to obtain an inquiry result or multiple rounds of interactive information.
8. A query device for a regulatory issue, comprising:
an obtaining module, configured to obtain alternative data, where the alternative data includes one or more of the following: data provided by a regulation knowledge base and data provided by a customer service system;
a processing module for receiving the regulation problem input by the user, and performing one or more of the following processes according to the regulation problem and the alternative data: inquiring, reasoning and service matching to obtain an inquiry result or multiple rounds of interactive information;
and the display module is used for displaying the query result or the multiple rounds of interactive information to a user through a user interface.
9. The apparatus of claim 8, further comprising:
the data construction module is used for acquiring the regulation data from the release source of the regulation data; performing knowledge production processing on the regulation class data; the processed regulatory class data is stored in a regulatory knowledge base.
10. The device of claim 8, wherein the display module is specifically configured to:
and displaying the query results corresponding to the different types of regulation problems to the user in different styles through the user interface.
11. The apparatus of claim 8, wherein the processing module is configured to receive a user input of a regulatory issue comprising:
receiving a regulation problem input by a user in a text, voice or picture form.
12. The apparatus according to any one of claims 8 to 11, wherein the processing module is specifically configured to:
receiving a user input of a regulatory issue;
determining a subsystem providing a service;
performing, by the subsystem providing services, one or more of the following based on the regulatory issues and the alternative data: and inquiring, reasoning and service matching to obtain an inquiry result or multiple rounds of interactive information.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201510729112.5A CN105354286B (en) | 2015-10-30 | 2015-10-30 | The querying method and device of regulations class problem |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201510729112.5A CN105354286B (en) | 2015-10-30 | 2015-10-30 | The querying method and device of regulations class problem |
Publications (2)
Publication Number | Publication Date |
---|---|
CN105354286A true CN105354286A (en) | 2016-02-24 |
CN105354286B CN105354286B (en) | 2019-05-03 |
Family
ID=55330258
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201510729112.5A Active CN105354286B (en) | 2015-10-30 | 2015-10-30 | The querying method and device of regulations class problem |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN105354286B (en) |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109543044A (en) * | 2018-10-22 | 2019-03-29 | 杭州叙简科技股份有限公司 | A kind of event and legal provision automatic patching system and matching process |
Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN1707487A (en) * | 2004-06-09 | 2005-12-14 | 袁玉宇 | Legal information intelligent analysing and processing method and system |
CN101076061A (en) * | 2007-03-30 | 2007-11-21 | 腾讯科技(深圳)有限公司 | Robot server and automatic chatting method |
CN104240164A (en) * | 2014-09-29 | 2014-12-24 | 南京提坦信息科技有限公司 | Legal consulting method and legal consulting system based on big data analysis |
-
2015
- 2015-10-30 CN CN201510729112.5A patent/CN105354286B/en active Active
Patent Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN1707487A (en) * | 2004-06-09 | 2005-12-14 | 袁玉宇 | Legal information intelligent analysing and processing method and system |
CN101076061A (en) * | 2007-03-30 | 2007-11-21 | 腾讯科技(深圳)有限公司 | Robot server and automatic chatting method |
CN104240164A (en) * | 2014-09-29 | 2014-12-24 | 南京提坦信息科技有限公司 | Legal consulting method and legal consulting system based on big data analysis |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109543044A (en) * | 2018-10-22 | 2019-03-29 | 杭州叙简科技股份有限公司 | A kind of event and legal provision automatic patching system and matching process |
CN109543044B (en) * | 2018-10-22 | 2021-06-18 | 杭州叙简科技股份有限公司 | Automatic matching system and matching method for event and legal provision |
Also Published As
Publication number | Publication date |
---|---|
CN105354286B (en) | 2019-05-03 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
US20200160224A1 (en) | Machine learning approach for query resolution via a dynamic determination and allocation of expert resources | |
CN109859812B (en) | Intelligent child-care cloud service system | |
US8805713B2 (en) | Interface for project and task submission for automated delegation | |
US10235452B1 (en) | Expert recommendation leveraging topic clusters derived from unstructured text data | |
KR102228117B1 (en) | Method and device for work capability evaluation based on online history data | |
US10599760B2 (en) | Intelligent form creation | |
CN111324740B (en) | Dispute event identification method, identification device and identification system | |
US20210350330A1 (en) | Systems and methods for machine learning to analyze student profiles | |
US11392757B2 (en) | Management of annotation jobs | |
WO2021260431A1 (en) | Advance text tagging using key phrase extraction and key phrase generation | |
CN111369290A (en) | Method and system for automatically generating data acquisition module | |
CN114238584A (en) | Information search method, device and storage medium | |
CN104408189B (en) | The methods of exhibiting and device of keyword ranking | |
Gray et al. | Ghosts in the machine: identifying the digital health information workforce | |
Kortum et al. | Dissection of AI job advertisements: A text mining-based analysis of employee skills in the disciplines computer vision and natural language processing | |
Vogt | eScience and the need for data standards in the life sciences: in pursuit of objectivity rather than truth | |
CN105354286B (en) | The querying method and device of regulations class problem | |
CN113870998A (en) | Interrogation method, device, electronic equipment and storage medium | |
CN116186089A (en) | Intelligent matching method, system, medium and equipment for industrial resources | |
CN116957882A (en) | Policy hotspot analysis method, device, medium and equipment based on intelligent model | |
KR101462858B1 (en) | Methods for competency assessment of corporation for global business | |
CN111881270B (en) | Intelligent dialogue method and system | |
CN113641903B (en) | Service matching method based on artificial intelligence and server | |
CN115660580A (en) | Data analysis management system based on whole-process engineering consultation platform | |
Liyanagamage et al. | Descriptive analytics methods in big data: a systematic literature review |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
C06 | Publication | ||
PB01 | Publication | ||
C10 | Entry into substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant |