CN111611387B - Civil case consultation method and device, computer equipment and storage medium - Google Patents
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Abstract
The invention relates to a method, a device, a computer device and a storage medium for consultation of civil cases, wherein the method comprises the steps of obtaining relevant information of the consultation of the civil cases so as to obtain case basic information; preprocessing case basic information to obtain a consultation item library; searching matched expert information in a prestored expert database according to the case basic information so as to push the case basic information to corresponding experts and acquire reply information from the experts; scoring the corresponding expert according to the reply information, and integrating the scored score, the reply information and the consultation item library to form an initial database; and feeding back the reply information to the terminal so as to display the reply information on the terminal. The invention can realize that professional consultation can be carried out at any time, improves the consultation efficiency, can directly push the consulted problems to the expert processing in the professional scope, and improves the accuracy of consultation reply.
Description
Technical Field
The invention relates to a legal consultation method, in particular to a civil case consultation method, a device, computer equipment and a storage medium.
Background
With the progress of society, legal consciousness of people is continuously improved, judicial approaches are continuously adopted to solve the problem, and simultaneously, accumulated judicial cases in the society are increased, and information related to laws is also increased in an explosive manner.
Legal information such as laws and regulations, judicial interpretation and judicial cases is increasing, and demands for legal consultation are also increasing in society. The civil administration complaint cases in the inspection link also have an increasing trend, and higher requirements are put forward for the civil administration inspection work. At present, civil administration complaints in the inspection link still need to use an internet means to carry out expert consultation of professional cases, and the process of the expert consultation generally comprises on-line consultation, telephone consultation and network-based consultation; the on-the-surface consultation is that the consultant directly carries out the consultation to legal consultation institutions, and the consultation mode is beneficial to the consultant to fully express the problem of the consultation to the consultant, but is often limited to time and places, and the consultant need to meet at places fixed in fixed time. Telephone consultation refers to the fact that a consultant calls a consultant or a mechanism to carry out related legal consultation in working time, and the consultation mode is not limited by space, but is limited by time and the expression capability of consultation problems, and the consultant needs to carry out telephone consultation in fixed time and can clearly express the consultation problems; when the consultant answers the questions, the consultant firstly needs to distinguish whether the legal field related to the consultation questions is the field familiar to the consultant, secondly refers to similar cases in the field, and then responds differently, and the expert has insufficient legal information utilization caused by the limitation of the professional scope of the consultant in the process of answering the consultation questions.
Therefore, a new method is necessary to be designed, so that professional consultation can be carried out at any time, the consultation efficiency is improved, the consulted problems can be directly pushed to an expert in a professional range for processing, and the accuracy of consultation reply is improved.
Disclosure of Invention
The invention aims to overcome the defects of the prior art and provide a method, a device, computer equipment and a storage medium for consultation of civil cases.
In order to achieve the above purpose, the present invention adopts the following technical scheme: the civil case consultation method comprises the following steps:
acquiring relevant information of civil case consultation to obtain case basic information;
preprocessing case basic information to obtain a consultation item library;
searching matched expert information in a prestored expert database according to the case basic information so as to push the case basic information to corresponding experts and acquire reply information from the experts;
scoring the corresponding expert according to the reply information, and integrating the scored score, the reply information and the consultation item library to form an initial database;
and feeding back the reply information to the terminal so as to display the reply information on the terminal.
The further technical scheme is as follows: the preprocessing of the case basic information to obtain the consultation item library comprises the following steps:
The case type, the case route, the field and the consultation items in the case basic information are associated;
and classifying and summarizing the case basic information, each service type and the consultation matters in each professional field to obtain a consultation matters library.
The further technical scheme is as follows: searching matched expert information in a pre-stored expert database according to the consultation item database to push case basic information to corresponding experts and obtain reply information from the experts, wherein the method comprises the following steps:
and selecting expert information in the corresponding field from the expert database according to the consultation field of the case basic information, and screening the matched expert information according to a comprehensive average allocation principle so as to push the case basic information to the corresponding expert and acquire reply information from the expert.
The further technical scheme is as follows: the feedback of the reply information to the terminal, after the terminal displays, further comprises:
acquiring a file with a consultation case and case data, and acquiring a consultation title and a corresponding keyword;
integrating consultation questions, keywords, files and case data to form a question block;
searching matched expert from the initial database according to the question block to obtain the answer related to the consultation question, and continuously tracking the answer and judicial progress.
The further technical scheme is as follows: the keywords comprise the case type, the field to which the case belongs and the counseling question emphasis point.
The further technical scheme is as follows: the integrating the consultation questions, keywords, files and case data to form a question block includes:
analyzing the file and the case data by using a natural language analysis tool to obtain a text vector;
the consultation questions, keywords and text vectors are integrated to form a question block.
The invention also provides a civil case consultation device, which comprises:
the information acquisition unit is used for acquiring the related information of the civil event consultation so as to obtain the case basic information;
the preprocessing unit is used for preprocessing the case basic information to obtain a consultation item library;
the searching unit is used for searching matched expert information in a prestored expert database according to the case basic information so as to push the case basic information to the corresponding expert and acquire reply information from the expert;
the scoring unit is used for scoring the corresponding expert according to the reply information, and integrating the scored score, the reply information and the consultation item library to form an initial database;
and the feedback unit is used for feeding back the reply information to the terminal so as to display the reply information on the terminal.
The further technical scheme is as follows: the preprocessing unit includes:
the association subunit is used for associating the case types, the case borders, the fields and the consultation matters in the case basic information;
the classifying sub-unit is used for classifying and summarizing the consultation matters in each business type and each professional field of the case basic information so as to obtain a consultation matters library.
The invention also provides a computer device which comprises a memory and a processor, wherein the memory stores a computer program, and the processor realizes the method when executing the computer program.
The present invention also provides a storage medium storing a computer program which, when executed by a processor, performs the above-described method.
Compared with the prior art, the invention has the beneficial effects that: according to the invention, the information of the experts in each professional field is integrated to form the prestored expert database, the case basic information of the consultation of the civil cases is obtained, then the pretreatment is carried out, the corresponding expert is matched from the prestored expert database, the reply information is obtained from the expert, and then the reply information is fed back to the terminal, so that the professional consultation can be carried out at any time, the consultation efficiency is improved, the consulted problems can be directly pushed to the expert processing in the professional range, and the accuracy of the consultation reply is improved.
The invention is further described below with reference to the drawings and specific embodiments.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic diagram of an application scenario of a civil case consultation method provided by an embodiment of the present invention;
FIG. 2 is a schematic flow chart of a method for consultation of civil cases according to an embodiment of the present invention;
FIG. 3 is a schematic sub-flowchart of a method for consultation of civil cases according to an embodiment of the present invention;
FIG. 4 is a flow chart of a method for consultation of civil cases according to another embodiment of the present invention;
FIG. 5 is a schematic sub-flowchart of a method for consultation of civil cases according to another embodiment of the present invention;
FIG. 6 is a schematic block diagram of a civil case consultation apparatus provided by an embodiment of the present invention;
FIG. 7 is a schematic block diagram of a preprocessing unit of the civil case consultation apparatus provided by the embodiment of the present invention;
FIG. 8 is a schematic block diagram of a civil case consultation apparatus provided in another embodiment of the present invention;
fig. 9 is a schematic block diagram of an integrating unit of a civil case consultation apparatus according to another embodiment of the present invention;
fig. 10 is a schematic block diagram of a computer device according to an embodiment of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are some, but not all embodiments of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
It should be understood that the terms "comprises" and "comprising," when used in this specification and the appended claims, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
It is also to be understood that the terminology used in the description of the invention herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used in this specification and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.
It should be further understood that the term "and/or" as used in the present specification and the appended claims refers to any and all possible combinations of one or more of the associated listed items, and includes such combinations.
Referring to fig. 1 and fig. 2, fig. 1 is a schematic application scenario diagram of a civil case consultation method according to an embodiment of the present invention. Fig. 2 is a schematic flow chart of a civil case consultation method provided by an embodiment of the present invention. The civil case consultation method is applied to the server. The server performs data interaction with the first terminal and the second terminal, wherein the first terminal is held by consultants such as inspection officials, the second terminal is held by an expert, after relevant contents of consultation are input through the first terminal, the server performs analysis and pushes the content to the expert in a corresponding professional range so as to acquire the reply of the expert, so that the professional consultation can be developed at any time, the consultation efficiency is improved, the consulted problems can be directly pushed to the expert in the professional range for processing, and the accuracy of the consultation reply is improved.
A sound consultation expert base is established, an expert and a inspector can communicate and exchange the examination of the case through a server, the expert gives consultation comments for auxiliary reference of case handling staff of the inspector, and the problem of limitation of the former on-line organization consultation meeting in terms of staff, space and the like is solved. And on-line consultation modes are innovated by using the technologies such as Internet, intelligent recognition and the like, consultation is initiated on line by the inspector, and the expert receives the consultation and gives a reply opinion for the inspector to review the case and provide a reference opinion.
Fig. 2 is a flow chart of a method for consultation of civil cases according to an embodiment of the present invention. As shown in fig. 2, the method includes the following steps S110 to S150.
S110, acquiring relevant information of the civil case consultation to obtain case basic information.
In this embodiment, the case basic information includes information such as a case type, case information, and an attribute of the consulting case field, and the case type includes civil affairs and administration.
In this embodiment, the relevant information of the consultation of the civil cases may be completely filled by the consultant, and of course, the relevant information may also be obtained by the consultant through the consultation questions and the fields, and the data such as the files may also be obtained through crawling the relevant information. The on-line consultation through the Internet can dynamically develop case consultation in real time, solves the problem that an off-line organization expert holds a conference flow complex and inconvenient, and can perform on-line real-time interaction and communication through functions of a discussion room, a message board and the like, thereby improving the actual effect of consultation.
S120, preprocessing the case basic information to obtain a consultation item library.
In the present embodiment, the consultation item library refers to a database in which consultation items under each service type and each professional field are integrated.
In one embodiment, referring to fig. 3, the step S120 may include steps S121 to S122.
S121, associating the case types, the case borders, the fields and the consultation matters in the case basic information.
On one hand, the case types, the field and the consultation matters are associated and used for pushing the subsequent similar consultation, on the other hand, the data are counted and used for analyzing and applying the consultation situation.
S122, classifying and summarizing the consultation matters in each business type and each professional field of the case basic information to obtain a consultation matters library.
And flexibly establishing a courtyard-level item library, a provincial courtyard-level item library and a national-level item library according to authority control.
According to the analysis and processing of the case basic information, the consultation matters under each service type and each professional field are classified, and further analyzed to form a consultation matters library with detailed purposes. In a consultation case such as civil business type, a plurality of matters in professional fields are consulted, wherein the consultation matters proposed by the company and contract professional fields are "whether the labor contract signed by the company and the reported labor contract has legal benefits? "is the consultation provided in the economic field" is the reported economic loss of reimbursement reasonable? The system firstly associates and stores two consultation matters with corresponding fields in a background database, then combines historical consultation data to classify the two problems and similar historical problems respectively to form similar key word consultation matters, and the two consultation matters are stored in a consultation matters library under the key words of company and contract-labor contract and in a consultation matters library of economic-reimbursement/economic loss.
After the reply comments given by the expert for each consultation item are combined in the subsequent consultation process, a complete consultation knowledge base is formed, and the intelligent recommendation method can be used for intelligent recommendation of the consultation of the same type of business. After the two consultation matters are recovered by the expert, the system stores the consultation questions and the recovery contents into the knowledge base under the corresponding category, searches similar recovery in the consultation knowledge base of the similar purpose according to the recovery contents of the expert, classifies the expert recovery with high similarity for the second time, and the more similar recovery with high similarity indicates that the reliability of the recovery is correspondingly stronger, so that the recovery can be preferentially matched for reference to a transactor during intelligent pushing or searching.
S130, searching matched expert information in a prestored expert database according to the case basic information so as to push the case basic information to the corresponding expert and acquire reply information from the expert.
In this embodiment, expert information includes the area of expertise, the province to which it belongs, the score accumulation, the name of the proxy agent or lawyer, and the entity at which it is located.
The pre-stored expert database integrates the experts such as universities, study students, doctor students, lawyers, inspection officers, judges, inspection experts and the like with legal backgrounds for providing sufficient resource support for the consultation expert database, so that the problem of lack of local expert resources and limited consultation people can be solved, and the information of the experts in each professional field is integrated to form the pre-stored expert database.
Specifically, expert information in the corresponding field is selected from the expert database according to the consultation field of the case basic information, and matched expert information is screened according to the comprehensive average distribution principle, so that the case basic information is pushed to the corresponding expert, and reply information from the expert is obtained.
The reply information refers to reply contents made by the expert about the questions of the case consultation.
The expert database is matched with the expert database, the personnel in the expert database have the attributes of professional fields, provinces, score accumulation and the like, consultation experts in the corresponding fields are automatically selected from the expert database according to the consultation fields of the case basic information, and the situation that a certain part of consultants transact the consultation cases excessively and another part of consultants do not consult the cases is avoided according to the principle of comprehensive average allocation when the experts are allocated. Meanwhile, the commission agent or lawyer and the unit where the commission agent or lawyer is located are obtained through intelligent identification and analysis of the file materials in the case basic information, and consultants in the same unit are intelligently filtered when consultants are automatically distributed, so that the avoidance requirement and the transparency of case handling in on-line are met.
The principle of comprehensive average allocation refers to that the priority of the expert with more consultants in charge of the present allocation of consultants is lower than that of the expert with less consultants in charge of the present allocation of consultants.
In the process of handling consultation, the inspector checks consultation comments of the specialists and evaluates the consultation comments, performs accumulated calculation on the evaluation score of each specialist, and updates the score information in the specialist library in real time. The score is mainly applied to the updating of the subsequent expert database personnel, if the expert with the too low score considers the qualification of canceling consultation, the expert with the higher score can be awarded in an online or offline mode.
And S140, scoring the corresponding expert according to the reply information, and integrating the scored score, the reply information and the consultation item library to form an initial database.
In this embodiment, the initial database includes a consultation item library, analysis of corresponding expert accumulation, and expert reply information corresponding to the consultation of the civil cases, that is, expert reply information corresponding to the consultation content in the consultation item library.
And S150, feeding back the reply information to the terminal so as to display the reply information on the terminal.
For the transacted consultation cases, the basic information of the cases, the reply comments of the expert and other contents are acquired to form a consultation result report, and the consultant can download and print the report, for example, the consultation result can be transferred to the national court after adopting the consultation comments by the inspection agency to make anti-complaint decisions. The consultation results of the expert network can be automatically summarized and integrated to form a consultation result report, and expert examination comments are provided for the case handling of the inspector. In addition, the matching situation of the inspector and the external expert can be analyzed and displayed in real time, the data situation and analysis situation of the core index are displayed, the search result is automatically converted into a statistical chart through a high-performance calculation engine and a rich visual configuration component, and the distribution situation and trend change of case consultation are visually displayed.
For example: the Hangzhou city institute inspector creates business types of civil affairs, case by loan disputes, consultation professional fields of civil affairs including infringement, material right, marital family, and the like and company contracts, and proposes the consultation item as' whether anti-complaints should be proposed? "a consultation case.
The server acquires key fields, such as ' civil affairs ', namely service types, from the case types in the unified service system, borrowing disputes, namely case types, is extracted from the case types in the unified service system, and simultaneously extracts contents of inquiry strokes, complaints and the like through NLP (artificial intelligence, natural Language Processing) for secondary proofreading, civil affairs contain corresponding fields of infringement, physical rights, marital family, and the like, the server can automatically analyze the case data, form a knowledge graph by the contents of the past judgment books, such as civil affairs infringement, marital, and the like, can automatically analyze the content of the case and match corresponding results when a new consultation is initiated, finally, the inspector confirms whether the content is correct, namely the field of the company, the server automatically matches the key contents, extracts the related fields, and displays that the inspector can select operations, and the consultation item is ' should be proposed? The server combines the contents of the file, such as case handling, principal written information, and the conventional case handling operation, and associates the contents to form a consultation chain, and the chain storage style can refer to a blockchain but is not in an encryption state, and the chain connection weights are equal and have no forced association relationship, so that the consultation chain is stored in a consultation event library.
The server carries out intelligent analysis on uploaded paperwork materials, extracts the proxy agent and the unit of the server as 'Zhang Zhi', 'Shanghai and peace institute', and when consultation specialists are automatically distributed, the system intelligently filters all consultation specialists of 'Shanghai and peace firm', and selects a plurality of people of 'civil infringement, right of things, marital family, and the like' and 'company contract' from a specialist library, and the extraction link is an important guarantee that the server can obtain good effect of consultation activities. The consultation chain mentioned before can match all expert fields in the expert library, past judicial case works, past consultation participation questions and other contents at this time, and provide scoring of consultation matching degree for the consultation participated in the matching, the scoring standard is based on subjective examination conditions of the staff, the expert replying to the proposal with higher reference value is considered to be high in scoring value, the higher the score is to indicate that the expert is more specialized in answering the consultation matters, and the effect of the consultation chain is better finally applied to judicial practice. As in the Shanghai national institute, a law Li Gang was sought, which was once dedicated to civil infringement cases, and therefore gives a high score to some extent. When the matching of the content related in all chains with all the experts in the expert database is completed, a matching score from high to low is formed, but only the matching degree is produced at this time. The consultation event also requires the expert to answer in the next step, and the answer belongs to voluntary behaviors. In view of this, the server may count the contents of each expert in a plurality of scenarios including but not limited to the system for solving the problem, loving heart, municipal activities, etc., obtain a single column, score the degree of effect of the consulting reply, and the standard of scoring considers that the relevant reply has a good effect on the contents, quality, serious degree and legal reference according to the subjective examination condition of the staff, so that a higher score can be obtained, and the inspector can comprehensively evaluate whether to select the expert for consulting through the two scores.
After the expert gives the reply opinion, the server integrates the opinion of the expert and the consultation matters and stores the opinion and the consultation matters into a consultation matters library. The inspector carries out score evaluation on the expert, the given evaluation score and the historical evaluation score are accumulated and averaged, and the expert database is updated in real time. Since the response of the consultant is not within a controllable range, the effect of the response can be judged, and thus a score can be provided. On one hand, the server calculates the coverage condition of the node matching node in the corresponding consultation chain through extracting the answer content, and on the other hand, extracts and displays the key result in each node. Through the operations of the two layers, the summarization of expert solutions is realized, meanwhile, the association degree seen by each node in the information chain forms an intensity comparison table, such as the property right delivery mentioned in a company contract, and secondary infringement is easy to form when an infringement subject goes wrong, so that the content such as strong association infringement and the like can appear under the company contract matters in civil matters, and the judgment standards of several dimensions such as the matching degree of the expert and the consultation problem, the association degree between the expert solutions and the matters and the like can be formed, the scoring by a inspector can be more conveniently provided, and the conventional score can be compared, so that an initial database is formed.
According to the permission configuration situation, if the configured permission is a consultation knowledge base within the scope of the present province, when other inspectors in the Zhoushan market create consultation, a consultation case with business types of civil affairs, cases of civil affairs including infringement, physical rights, marital family, and the like and company contracts is created by the consultation professional field, and the server can intelligently push out consultation matters proposed by other inspectors, such as' whether anti-complaints should be proposed? According to the intelligent push consultation item, the user can select to replace, and the inspector can check details, such as the situation handling similar to the user and the application of the expert consultation result to the user can be performed similarly, so that the repeated consultation is not needed, the efficiency of the inspector in inspecting the case is improved, and similar case push operation is provided according to the determination of each link in the consultation chain and the analysis of the past consultation item and the expert answer.
According to the civil case consultation method, the information of the experts in each professional field is integrated to form the prestored expert database, the case basic information of the civil case consultation is obtained, then the preprocessing is carried out, the corresponding expert is matched from the prestored expert database, the reply information is obtained from the expert, and then the reply information is fed back to the terminal, so that the professional consultation can be carried out at any time, the consultation efficiency is improved, the consulted problems can be directly pushed to the expert in the professional range for processing, and the accuracy of consultation reply is improved.
Fig. 4 is a schematic flow chart of a method for consultation of civil cases according to another embodiment of the present invention. As shown in fig. 4, the civil case consultation method of the present embodiment includes steps S210 to S280. Steps S210 to S250 are similar to steps S110 to S150 in the above embodiment, and are not described herein. Steps S260 to S280 added in the present embodiment are described in detail below.
S260, acquiring the file with the consultation case and the case data, and acquiring the consultation questions and the corresponding keywords.
In this embodiment, the keywords include a case type, a field to which the case belongs, and a counseling topic emphasis point.
When the inspector determines that a certain case is to be consulted, the server automatically synchronizes the downloading of the file information from the unified service application system to a database corresponding to the server; the inspector writes related consultation questions according to the case to be consulted, and determines the problem to be consulted; when selecting keywords, the content to be determined is as follows:
first, the case of consultation is classified into different types, such as civil and administrative cases. Secondly, the case required to be consulted by the inspector is different in the field, such as lending disputes and company contracts; finally: the problems to be inquired by the inspector have emphasis, such as whether anti-complaints should be proposed, whether judge examination should be initiated, and the like; according to the above, the query case problem keywords are determined as follows: civil, lending disputes, corporate contracts, whether anti-complaints.
Meanwhile, the server extracts keywords related to the case according to the document data acquired by the file and the case data, and provides references for inspectors, such as: huge amount of money, suspected counterfeiting of company contracts, fictive transaction records and the like; and the inspector can adjust the keywords to finally form a keyword list for the consultation.
S270, integrating the consultation questions, keywords, files and case data to form a question block.
In this embodiment, the question block refers to all information related to the civil case that needs to be consulted, including the question of the question, related keywords, files, and case data.
In one embodiment, referring to fig. 5, the step S270 may include steps S271 to S272.
S271, analyzing the file and the file data by using a natural language analysis tool to obtain a text vector.
In this embodiment, the text vector refers to a result obtained by analyzing a document, such as a core document of asking for arrest, approving for arrest, prosecution, etc., by using a natural language analysis tool according to the content of a specific paragraph in the document.
S272, integrating the consultation questions, the keywords and the text vectors to form a question block.
The text is characterized in that the text is provided with a 'case fact identification' paragraph, which is a text description paragraph of which the public security organization and the inspection organization transact different stages in the case, and the text description paragraph refers to a natural language analysis tool along with the gradual deep refinement of the case details of the case, so that a text vector mode is formed for the paragraph. Then combining the question blocks with the previous keywords to form question blocks; forms the basis for the subsequent work.
S280, searching matched experts from the initial database according to the question block to obtain answers related to the consultation questions, and continuously tracking the answering and judicial progress.
The server stores the questions asked by the inspector and the solutions given by the expert in the form of question blocks. For the answer of a consultation question, the inspector finally hopes to obtain some guide from the answer of the expert, so that a feedback model is formed for the past question from the following angles, and a summary is formed on the four aspects of answer quality, judicial effect, influence degree and applicable condition.
The answer quality refers to the accumulated scores of the experts in the initial database, and some experts reply to the original database to be very underivated, only reply to the content such as yes or no, and the like, and effective suggestions or comments cannot be formed at all, so that the number of words in the answer quality becomes important judgment marks, such as 50 words or less, 5 points, 10 points in 50-200 words and 15 points in 200-500 words; 500 to 800 words of 20 minutes, more than 25 minutes than 800 words; of course, the inspector can judge whether the expert answer is valid or not, if not, the expert answer is 0, and if so, the expert answer is scored according to the number of words;
The judicial effect refers to the reply information of the expert in the initial database, and the content of the response of some experts is good, but the judicial effect in the scheme is poor, so that a inspector is required to judge how much the response of the expert answer to the question is, and the grade is 5/10/15/20/25; the manual scoring can be manually judged by a inspector at the beginning, and along with the increase of consultation questions, the server can automatically form automatic scoring according to the matching degree between answers of the question blocks, and the inspector only needs manual calibration;
similarly, the influence degree is reflected in the reply information of the expert in the initial database, and the problem solutions provided by the expert are judged for the cases, but the integral promotion and the advance of the legal process can be more hopefully formed through individual cases, so that the judicial effect of the solution of the expert can be judged; the evaluation is realized through the automatic recommendation function of the server, when the inspector needs to consult a certain case, the server extracts the case, extracts keywords from questions written by the inspector and analyzes the document in natural language, and can search matched cases and relevant expert answers in the past question-answer library. If the matching degree is found to be higher, the matching degree is automatically pushed to a inspector, the inspector is enabled to judge whether the matching is a similar case or a similar problem, if the inspector determines that the matching is similar, the inspector can directly quote without reinitiating consultation, and the inspector can score the quoted questions and answers with 5-level scores 5/10/15/20/25 at the same time, so that judgment on the influence degree index is formed;
The application condition is represented in the response information of the expert in the initial database, because most of the legal questions are formed based on specific legal conditions and judicial behaviors, each answer has a specific application range, each answer can possibly provide accurate answers in a certain direction, the index has no absolute good or bad condition, but has the limitation of the application condition, the index is automatically judged by the above content, if some answers only appear under certain specific keywords, the application condition of the expert is harsh, therefore, when the keywords do not appear, the score of the application condition of the expert is lower, and when the keywords appear, the score of the response condition of the expert is higher, so that dynamic adjustment can be formed. The most favorable answer is provided to the inspector.
According to the content, a dynamic scoring model is formed for all solutions in the expert database, and a dynamic scoring database is formed for the initial database at the same time, so that the most pertinent scoring basis is formed in the face of question-answer consultation newly set by the inspector.
Obtaining the relevant answers of the consultation questions, continuously tracking the solutions and judicial processes, mainly providing the relevant answers which exist in the past for a inspector, inquiring whether the answers are suitable or not and scoring the satisfaction degree of the pushed answers, and feeding back the expert scoring in the initial database; if the answer provided by the initial database is not satisfied, the server pushes out relevant experts according to the initial database, and the inspector can select the relevant experts, and the inspector can manually adjust or select the experts pushed by the server. The interrogation request is thus sent to the expert, who, after giving the solutions, the inspector scores the solutions and proceeds back to the original database. Therefore, a working mode of intelligent pushing, flexible calculation and long-growing learning for the consultation platform is formed.
Fig. 6 is a schematic block diagram of a civil case consultation apparatus 300 provided by an embodiment of the present invention. As shown in fig. 6, the present invention also provides a civil case consultation apparatus 300 corresponding to the above civil case consultation method. The civil case consultation apparatus 300 includes means for performing the above-described civil case consultation method, and may be configured in a server. Specifically, referring to fig. 6, the civil case consultation apparatus 300 includes an information acquiring unit 301, a preprocessing unit 302, a searching unit 303, a scoring unit 304, and a feedback unit 305.
An information obtaining unit 301, configured to obtain information related to a civil event consultation, so as to obtain case basic information; a preprocessing unit 302, configured to preprocess case basic information to obtain a consultation item library; the searching unit 303 is configured to search for matched expert information in a pre-stored expert database according to the case basic information, so as to push the case basic information to a corresponding expert and obtain reply information from the expert; the scoring unit 304 is configured to score the corresponding expert according to the reply information, and integrate the scored score, the reply information and the consultation item library to form an initial database; and the feedback unit 305 is configured to feed back the reply information to the terminal, so as to display the reply information on the terminal.
In an embodiment, as shown in fig. 7, the preprocessing unit 302 includes an association subunit 3021 and a categorizing subunit 3022.
A correlation subunit 3021, configured to correlate the case type, the case route, the field, and the consultation item in the case basic information; the classifying subunit 3022 is configured to classify and summarize the case basic information for each service type and the consultation matters in each professional field, so as to obtain a consultation matters library.
The searching unit 303 is configured to select expert information in a corresponding field from the expert database according to the consultation field of the case basic information, and screen the matched expert information according to a comprehensive average allocation principle, so as to push the case basic information to a corresponding expert and obtain reply information from the expert.
Fig. 8 is a schematic block diagram of a civil case consultation apparatus 300 according to another embodiment of the present invention. As shown in fig. 8, the civil case consultation apparatus 300 of the present embodiment is an addition to the above-described embodiment, in which a data acquisition unit 306, an integration unit 307, and a search unit 308 are added.
The data obtaining unit 306 is configured to obtain a file with a consultation case and case data, and obtain a consultation topic and a corresponding keyword; an integrating unit 307 for integrating the consultation questions, keywords, files and case data to form a question block; the searching unit 308 is configured to search the matched expert from the initial database according to the question block, so as to obtain the answer related to the consultation question, and continuously track the answer and judicial progress.
In one embodiment, as shown in fig. 9, the integration unit 307 includes an analysis subunit 3071 and a problem block formation subunit 3072.
An analysis subunit 3071, configured to analyze the file and the case data by using a natural language parsing tool, so as to obtain a text vector; the question block forming subunit 3072 is configured to integrate the counseling questions, keywords, and text vectors to form a question block.
It should be noted that, as those skilled in the art can clearly understand, the specific implementation process of the above-mentioned civil case consulting device 300 and each unit may refer to the corresponding descriptions in the foregoing method embodiments, and for convenience and brevity of description, the detailed description is omitted here.
The above-described civil case consultation apparatus 300 may be implemented in the form of a computer program that can be run on a computer device as shown in fig. 10.
Referring to fig. 10, fig. 10 is a schematic block diagram of a computer device according to an embodiment of the present application. The computer device 500 is a server, where the final server may be a stand-alone server or may be a server cluster formed by a plurality of servers.
With reference to FIG. 10, the computer device 500 includes a processor 502, memory, and a network interface 505 connected by a system bus 501, where the memory may include a non-volatile storage medium 503 and an internal memory 504.
The non-volatile storage medium 503 may store an operating system 5031 and a computer program 5032. The computer program 5032 includes program instructions that, when executed, cause the processor 502 to perform a civil event consultation method.
The processor 502 is used to provide computing and control capabilities to support the operation of the overall computer device 500.
The internal memory 504 provides an environment for the execution of a computer program 5032 in the non-volatile storage medium 503, which computer program 5032, when executed by the processor 502, causes the processor 502 to perform a civil case consultation method.
The network interface 505 is used for network communication with other devices. Those skilled in the art will appreciate that the architecture shown in fig. 10 is merely a block diagram of a portion of the architecture in connection with the present application and is not intended to limit the computer device 500 to which the present application is applied, and that a particular computer device 500 may include more or fewer components than shown, or may combine certain components, or have a different arrangement of components.
Wherein the processor 502 is configured to execute a computer program 5032 stored in a memory to implement the steps of:
Acquiring relevant information of civil case consultation to obtain case basic information; preprocessing case basic information to obtain a consultation item library; searching matched expert information in a prestored expert database according to the case basic information so as to push the case basic information to corresponding experts and acquire reply information from the experts; scoring the corresponding expert according to the reply information, and integrating the scored score, the reply information and the consultation item library to form an initial database; and feeding back the reply information to the terminal so as to display the reply information on the terminal.
In one embodiment, when the processor 502 performs the preprocessing on the case basic information to obtain the consulting event library, the following steps are specifically implemented:
the case type, the case route, the field and the consultation items in the case basic information are associated; and classifying and summarizing the case basic information, each service type and the consultation matters in each professional field to obtain a consultation matters library.
In an embodiment, when the step of searching the pre-stored expert database for the matched expert information according to the consultation item database to push the case basic information to the corresponding expert and obtain the reply information from the expert is implemented by the processor 502, the following steps are specifically implemented:
And selecting expert information in the corresponding field from the expert database according to the consultation field of the case basic information, and screening the matched expert information according to a comprehensive average allocation principle so as to push the case basic information to the corresponding expert and acquire reply information from the expert.
In an embodiment, after the processor 502 performs the step of feeding back the reply message to the terminal, the following steps are further performed:
acquiring a file with a consultation case and case data, and acquiring a consultation title and a corresponding keyword; integrating consultation questions, keywords, files and case data to form a question block; searching matched expert from the initial database according to the question block to obtain the answer related to the consultation question, and continuously tracking the answer and judicial progress.
The keywords comprise case types, the fields to which the cases belong and the emphasis points of consultation questions.
In one embodiment, when the processor 502 implements the step of integrating the consultation questions, keywords, files and case data to form a question block, the following steps are specifically implemented:
analyzing the file and the case data by using a natural language analysis tool to obtain a text vector; the consultation questions, keywords and text vectors are integrated to form a question block.
It should be appreciated that in embodiments of the present application, the processor 502 may be a central processing unit (Central Processing Unit, CPU), the processor 502 may also be other general purpose processors, digital signal processors (Digital Signal Processor, DSPs), application specific integrated circuits (Application Specific Integrated Circuit, ASICs), off-the-shelf programmable gate arrays (Field-Programmable Gate Array, FPGAs) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or the like. Wherein the general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
Those skilled in the art will appreciate that all or part of the flow in a method embodying the above described embodiments may be accomplished by computer programs instructing the relevant hardware. The computer program comprises program instructions, and the computer program can be stored in a storage medium, which is a computer readable storage medium. The program instructions are executed by at least one processor in the computer system to implement the flow steps of the embodiments of the method described above.
Accordingly, the present invention also provides a storage medium. The storage medium may be a computer readable storage medium. The storage medium stores a computer program which, when executed by a processor, causes the processor to perform the steps of:
Acquiring relevant information of civil case consultation to obtain case basic information; preprocessing case basic information to obtain a consultation item library; searching matched expert information in a prestored expert database according to the case basic information so as to push the case basic information to corresponding experts and acquire reply information from the experts; scoring the corresponding expert according to the reply information, and integrating the scored score, the reply information and the consultation item library to form an initial database; and feeding back the reply information to the terminal so as to display the reply information on the terminal.
In one embodiment, when the processor executes the computer program to perform the preprocessing on the case basic information to obtain the step of consulting a transaction library, the following steps are specifically implemented:
the case type, the case route, the field and the consultation items in the case basic information are associated; and classifying and summarizing the case basic information, each service type and the consultation matters in each professional field to obtain a consultation matters library.
In an embodiment, when the processor executes the computer program to realize the step of searching the pre-stored expert database for the matched expert information according to the consultation item database to push the case basic information to the corresponding expert and obtain the reply information from the expert, the specific implementation steps are as follows:
And selecting expert information in the corresponding field from the expert database according to the consultation field of the case basic information, and screening the matched expert information according to a comprehensive average allocation principle so as to push the case basic information to the corresponding expert and acquire reply information from the expert.
In one embodiment, the processor, after executing the computer program to implement the feeding back the reply message to the terminal, further implements the following steps:
acquiring a file with a consultation case and case data, and acquiring a consultation title and a corresponding keyword; integrating consultation questions, keywords, files and case data to form a question block; searching matched expert from the initial database according to the question block to obtain the answer related to the consultation question, and continuously tracking the answer and judicial progress.
The keywords comprise case types, the fields to which the cases belong and the emphasis points of consultation questions.
In one embodiment, when the processor executes the computer program to integrate the consultation questions, keywords, files and case data to form a question block, the processor specifically implements the following steps:
Analyzing the file and the case data by using a natural language analysis tool to obtain a text vector; the consultation questions, keywords and text vectors are integrated to form a question block.
The storage medium may be a U-disk, a removable hard disk, a Read-Only Memory (ROM), a magnetic disk, or an optical disk, or other various computer-readable storage media that can store program codes.
Those of ordinary skill in the art will appreciate that the elements and algorithm steps described in connection with the embodiments disclosed herein may be embodied in electronic hardware, in computer software, or in a combination of the two, and that the elements and steps of the examples have been generally described in terms of function in the foregoing description to clearly illustrate the interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
In the several embodiments provided by the present invention, it should be understood that the disclosed apparatus and method may be implemented in other manners. For example, the device embodiments described above are merely illustrative. For example, the division of each unit is only one logic function division, and there may be another division manner in actual implementation. For example, multiple units or components may be combined or may be integrated into another system, or some features may be omitted, or not performed.
The steps in the method of the embodiment of the invention can be sequentially adjusted, combined and deleted according to actual needs. The units in the device of the embodiment of the invention can be combined, divided and deleted according to actual needs. In addition, each functional unit in the embodiments of the present invention may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit.
The integrated unit may be stored in a storage medium if implemented in the form of a software functional unit and sold or used as a stand-alone product. Based on such understanding, the technical solution of the present invention is essentially or a part contributing to the prior art, or all or part of the technical solution may be embodied in the form of a software product stored in a storage medium, comprising several instructions for causing a computer device (which may be a personal computer, a terminal, a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present invention.
While the invention has been described with reference to certain preferred embodiments, it will be understood by those skilled in the art that various changes and substitutions of equivalents may be made and equivalents will be apparent to those skilled in the art without departing from the scope of the invention. Therefore, the protection scope of the invention is subject to the protection scope of the claims.
Claims (7)
1. The civil case consultation method is characterized by comprising the following steps:
acquiring relevant information of civil case consultation to obtain case basic information;
preprocessing case basic information to obtain a consultation item library;
searching matched expert information in a prestored expert database according to the case basic information so as to push the case basic information to corresponding experts and acquire reply information from the experts;
scoring the corresponding expert according to the reply information, and integrating the scored score, the reply information and the consultation item library to form an initial database;
feeding back the reply information to the terminal so as to display the reply information on the terminal;
the preprocessing of the case basic information to obtain the consultation item library comprises the following steps:
the case type, the case route, the field and the consultation items in the case basic information are correlated,
classifying and summarizing the case basic information, each service type and the consultation matters in each professional field to obtain a consultation matters library;
searching matched expert information in a prestored expert database according to the case basic information so as to push the case basic information to a corresponding expert and acquire reply information from the expert, wherein the method comprises the following steps:
Selecting expert information in the corresponding field from an expert database according to the consultation field of the case basic information, and screening matched expert information according to a comprehensive average allocation principle so as to push the case basic information to the corresponding expert and acquire reply information from the expert;
the feedback of the reply information to the terminal, after the terminal displays, further comprises:
acquiring a file with a consultation case and case data, and acquiring a consultation title and a corresponding keyword;
integrating consultation questions, keywords, files and case data to form a question block;
searching matched expert from the initial database according to the question block to obtain the answer related to the consultation question, and continuously tracking the answer and judicial progress.
2. The civil case consultation method of claim 1, wherein the keywords include a case type, a case area, and a consultation topic emphasis point.
3. The civil case consultation method of claim 1, wherein the integrating consultation topics, keywords, files and case data to form a problem block includes:
analyzing the file and the case data by using a natural language analysis tool to obtain a text vector;
The consultation questions, keywords and text vectors are integrated to form a question block.
4. The civil case consultation device is characterized by comprising:
the information acquisition unit is used for acquiring the related information of the civil event consultation so as to obtain the case basic information;
the preprocessing unit is used for preprocessing the case basic information to obtain a consultation item library;
the searching unit is used for searching matched expert information in a prestored expert database according to the case basic information so as to push the case basic information to the corresponding expert and acquire reply information from the expert, specifically, selecting expert information in the corresponding field from the expert database according to the consultation field of the case basic information, and screening the matched expert information according to a comprehensive average allocation principle so as to push the case basic information to the corresponding expert and acquire the reply information from the expert;
the scoring unit is used for scoring the corresponding expert according to the reply information, and integrating the scored score, the reply information and the consultation item library to form an initial database;
the feedback unit is used for feeding back the reply information to the terminal so as to display the reply information on the terminal;
the preprocessing unit includes:
A correlation subunit, configured to correlate the case type, the case route, the field and the consultation item in the case basic information,
the classifying sub-unit is used for classifying and summarizing the consultation matters in each business type and each professional field of the case basic information so as to obtain a consultation matters library;
the data acquisition unit is used for acquiring the file with the consultation case and the case data, and acquiring the consultation questions and the corresponding keywords;
the integration unit is used for integrating the consultation questions, the keywords, the files and the file data to form a question block;
and the searching unit is used for searching the matched expert from the initial database according to the question block so as to acquire the answer related to the consultation question, and continuously tracking the answer and judicial progress.
5. The civil case consultation apparatus of claim 4, wherein the integration unit includes:
the analysis subunit is used for analyzing the files and the case data by adopting a natural language analysis tool so as to obtain text vectors;
and the question block forming subunit is used for integrating the consultation questions, the keywords and the text vectors to form a question block.
6. A computer device, characterized in that it comprises a memory on which a computer program is stored and a processor which, when executing the computer program, implements the method according to any of claims 1-3.
7. A storage medium storing a computer program which, when executed by a processor, performs the method of any one of claims 1 to 3.
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| US20060041546A1 (en) * | 2002-07-18 | 2006-02-23 | Ki Soon Ahn | Consulting system using network, content making method and recording medium for storing a program to perform the system and method |
| CN109325132A (en) * | 2018-12-11 | 2019-02-12 | 平安科技（深圳）有限公司 | Expertise recommended method, device, computer equipment and storage medium |
| CN110059193A (en) * | 2019-06-21 | 2019-07-26 | 南京擎盾信息科技有限公司 | Legal advice system based on law semanteme part and document big data statistical analysis |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| US20060041546A1 (en) * | 2002-07-18 | 2006-02-23 | Ki Soon Ahn | Consulting system using network, content making method and recording medium for storing a program to perform the system and method |
| CN109325132A (en) * | 2018-12-11 | 2019-02-12 | 平安科技（深圳）有限公司 | Expertise recommended method, device, computer equipment and storage medium |
| CN110059193A (en) * | 2019-06-21 | 2019-07-26 | 南京擎盾信息科技有限公司 | Legal advice system based on law semanteme part and document big data statistical analysis |
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