CN109726215B - Legal knowledge intelligent query system for legal consultation service - Google Patents
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Abstract
The invention discloses a legal knowledge intelligent query system for legal advisory service, which relates to the technical field of legal advisory service and comprises a database, a database and a query module, wherein the database stores legal related cases and the association degree of each case and each keyword in advance; legal provisions and the association degrees of each legal provision and each keyword are stored in advance; the information acquisition module is used for acquiring the consultation questions input by the students through the student terminals; the keyword extraction module is used for extracting keywords in the consultation problem; and the calling module is used for calling the case and the legal provision with the highest correlation degree with the keyword from the database according to the extracted keyword and sending the case and the legal provision to a lawyer end capable of providing services for students. The invention not only can match lawyers for students, but also can intelligently inquire legal knowledge related to the consultation questions provided by the students, provide suggestions and decisions for solving the problems of the students for the lawyers and assist the lawyers in providing higher-quality consultation services for the students.
Description
Technical Field
The invention relates to the technical field of legal consultation service, in particular to a legal knowledge intelligent query system for the legal consultation service.
Background
With the continuous improvement of the national legal system and the continuous enhancement of the legal consciousness of the citizen, people increasingly feel the importance of solving problems by legal means, more and more cheats exist in the existing society, the means of cheating is more and more obvious, and especially for students who do not go out of a campus, the students are very easy to be cheated, so the demands of the students on obtaining legal knowledge and solving legal problems are continuously increased.
Because of the messy information source of the traditional legal service industry, a party generally lacks an effective way for finding a proper lawyer, and usually needs to go to a person known by a law firm or a lawyer recommended by the law firm, so that a great deal of time and energy are consumed, and a satisfactory answer cannot be obtained necessarily; moreover, different lawyers are different in good field, so that when the lawyers are in poor field, the lawyers cannot give accurate suggestions to students, and when some lawyers with less experience are in trouble, the lawyers cannot give good suggestions, so that a system which can not only match lawyers to students but also query legal knowledge for the lawyers is urgently needed.
Disclosure of Invention
The invention aims to provide a legal knowledge intelligent query system for legal consultation service, which can not only match lawyers for students, but also provide suggestions and decisions for solving the problems of the students for the lawyers.
In order to solve the technical problems, the basic scheme provided by the invention is as follows:
legal knowledge intelligent query system facing legal consultation service comprises a cloud server, a lawyer end and a student end which are connected through a network, wherein the cloud server comprises:
the database is stored with law-related cases and the association degree of each case and each keyword in advance; legal provisions and the association degrees of each legal provision and each keyword are stored in advance;
the information acquisition module is used for acquiring the consultation questions input by the students through the student terminals;
the keyword extraction module is used for extracting keywords in the consultation problem;
and the calling module is used for calling the case and the legal provision with the highest correlation degree with the keyword from the database according to the extracted keyword and sending the case and the legal provision to a lawyer end capable of providing services for students.
According to the technical scheme, the calling module can call the case and the law provision with the highest correlation degree with the keyword according to the keyword in the consultation problem and send the case and the law provision to the lawyer end capable of providing service for the student, so that the lawyer receiving the case and the law provision provides consultation service for the student, and the problem that the student consumes a large amount of energy and cannot find a satisfied lawyer is solved by automatically matching the lawyer with the student; and the system can intelligently inquire related cases and legal provisions according to the consultation problems provided by the students and can assist lawyers in answering and making decisions on the consultation problems provided by the students, so that higher-quality consultation services are provided for the students.
Furthermore, the database also stores lawyer information and information labels of each lawyer in advance;
the cloud server further comprises:
the matching module is used for matching the information tags corresponding to the keywords from the database according to the extracted keywords, matching lawyers according to the information tags and sending lawyer information of the lawyers to the calling module;
and the calling module is also used for sending the called cases and legal provisions to the corresponding lawyer ends according to the lawyer information.
Lawyer information and information labels of all lawyers are stored in the database in advance, the lawyer information comprises the field of excellence, qualification certificate, working years and the like, students input consultation problems through student terminals, the keyword extraction module extracts keywords of the consultation problems, the system matches the information labels corresponding to the keywords according to the keywords and matches proper lawyers according to the information labels, and the system can intelligently match lawyers according to the problems provided by the students and provides an effective channel for the students to find the lawyers.
Further, the cloud server includes:
the service evaluation module is used for enabling the students to score the services of the matched lawyers through student ends;
the total score evaluation module is used for evaluating the total score of the lawyer according to the scores of all students to the lawyer in history to obtain a service total score;
and the matching module is used for matching lawyers according to the information labels and the service total scores.
By adopting the design, the matching module not only matches lawyers according to the information labels, but also selects the lawyers according to the service scores of the lawyers, so that the optimal lawyers can be selected and pushed to students.
Further, the cloud server includes:
the online evaluation module is used for evaluating the online time of the lawyer;
and the matching module is used for matching lawyers according to the information labels, the service total points and the online time of the lawyers.
Assuming that a lawyer possibly conforms to the field of the consultation problem proposed by the student and has a high total service score, but the lawyer is often not online, so that the matching module can select the field conforming to the consultation problem proposed by the student, the lawyer with a high total service score and a long online time is selected, and by adopting the design, the matching module can analyze and judge the lawyer from three dimensions, so that the lawyer with a relatively high quality is matched for the student.
Further, the information acquisition module is also used for acquiring newly added cases and newly added legal provisions corresponding to the consultation problems, which are input by lawyers through lawyers;
the cloud server further comprises:
the display module is used for displaying the cases and the legal provisions called by the consultation problem calling module and displaying the newly added cases and the newly added legal provisions input by lawyers;
the evaluation module is used for evaluating and selecting the best case and legal provision for solving the consultation problem by other lawyers to obtain an evaluation result;
and the score modification module is used for carrying out point deduction or point deduction operation on lawyers inputting the newly added cases and the newly added legal provision according to the evaluation result.
When the system is matched with a lawyer and relevant cases and legal provisions are pushed to the lawyer, if the lawyer considers that the cases and the legal provisions pushed by the system are not good, the new cases and the new legal provisions corresponding to the consultation problem can be input through the lawyer end, when the system receives the new cases and the new legal provisions sent by the lawyer end, the new cases and the new legal provisions are displayed through the display module, the cases and the legal provisions called by the consultation problem calling module are displayed, and the cases and the legal provisions called by the consultation problem calling module are equivalent to the same PK as the cases and the legal provisions called by the system and the new cases and the new legal provisions, the method comprises the steps that other lawyers registered with the system are allowed to evaluate cases and legal provisions called out by the system and new cases and new legal provisions through an evaluation module, for example, voting evaluation is carried out, an evaluation result is obtained, for example, the evaluation result can be winning with high ticket winning, then a score modification module carries out score deduction or score adding operation on lawyers inputting the new cases and the new legal provisions according to the evaluation result, for example, when the number of tickets obtained for the new cases and the new legal provisions input by the lawyers is lower than the number of cases and legal provisions called out by the system, the total service score of the lawyers is carried out score deduction operation, and when the number of tickets obtained for the new cases and the new legal provisions input by the lawyers is higher than the number of tickets obtained for the cases and the legal provisions called out by the system, the total service score adding operation of the lawyers is carried out.
Further, the cloud server further includes:
the adding judgment module is used for judging whether to store the newly added cases and the newly added legal provisions input by the lawyer into the database according to the evaluation result;
and the association degree distribution module is used for distributing the association degree of the new cases and the new law provisions with the consultation problems according to the voting results on the basis of the association degree of the cases and the law provisions called by the calling module and the consultation problems when the new cases and the new law provisions are stored in the database.
The adding judgment module can judge whether to store the newly added cases and the newly added legal provisions input by the lawyer into the database according to the evaluation result, for example, when the number of tickets obtained for the newly added cases and the newly added legal provisions input by the lawyer is higher than that of the cases and the legal provisions called by the system, the newly added cases and the newly added legal provisions are explained to be more due to the cases and the legal provisions matched by the system, and the newly added cases and the newly added legal provisions are stored into the database, so that the storage capacity of the cases and the legal provisions of the database can be enriched; when the new cases and the new law provisions are stored in the database, on the basis of the association degree of the cases and the law provisions called by the calling module and the consultation problem, the association degree distribution module distributes the association degree of the cases and the law provisions and the consultation problem according to the voting result, namely, the association degree of the new cases and the new law provisions is improved, so that the adjustment of the association degree of the cases and the new law provisions is realized, the self-adaptive optimization of the database is continuously realized, and more accurate and high-quality cases and law provisions are provided for students.
Further, the database also stores domain information in advance;
the cloud server further comprises:
the field matching module is used for matching field information corresponding to the keywords from the database according to the extracted keywords;
the collecting module is used for collecting historical case processing information of each lawyer in each field, and the historical case processing information comprises the number of case processing pieces, the total service score of each case after processing and the processing duration of each case;
and the grading module is used for grading qualification grades of various fields of various lawyers according to the historical case processing information.
Because some lawyers are good in more than one field, with the design, each lawyer has a corresponding qualification grade aiming at each field, and the qualification grade is obtained according to the historical case processing information of each lawyer, and the professionality and the case processing capability of the lawyer can be evaluated more objectively through the historical case processing information.
Further, the evaluation module specifically includes:
the voting recording submodule is used for voting for the cases and the legal provisions called by the calling module, the newly added cases and the newly added legal provisions by other lawyers and recording voting results;
the qualification grade recording submodule is used for acquiring the qualification grade of the lawyer in the consultation problem field when the lawyer votes;
and the statistic submodule is used for evaluating and selecting the best case and legal provision for solving the consultation problem according to the voting result and the qualification grade of the voting lawyer aiming at the field to which the consultation problem belongs, so as to obtain an evaluation result.
The evaluation module obtains a final evaluation result according to the voting result and the qualification grade of the voting attorneys aiming at the consultation problem, and because attorneys with better grades vote more authoritatively, the evaluation result is more consistent with the consultation problem proposed by students, and attorneys can be assisted to propose better suggestions for the consultation problem.
Drawings
FIG. 1 is a schematic block diagram of a legal knowledge intelligent query system facing legal advisory services according to a second embodiment of the present invention;
FIG. 2 is a schematic block diagram of a third embodiment of legal knowledge intelligent query system facing legal advisory services in accordance with the present invention.
Detailed Description
The following is further detailed by way of specific embodiments:
example one
The invention relates to a legal knowledge intelligent query system facing legal consultation service, which comprises a cloud server, a lawyer end used by lawyer and a student end used by student, wherein the cloud server comprises:
the information acquisition module is used for acquiring the consultation questions input by the students through the student terminals; the consult questions include a natural language description of the question, location requirements requiring attorneys, age requirements, etc.
A database, in which lawyer information and information labels of each lawyer are stored in advance; keyword information is stored in advance; legal related cases and the association degree of each case and each keyword are also stored in advance; legal provisions and the association degrees of each legal provision and each keyword are stored in advance; lawyer information includes name, field of excellence, certificate of qualification, age of employment, etc.; the information label is an element word for characterizing the characteristics of lawyers, and comprises the following elements: the location, the field of excellence, the year of employment, and the rate of victory complaints, for example, label information of a certain uniform 1 is: shenzhen, intellectual property, trademark, 20 years of employment, victory appeal rate 60%, label information of a certain attorney 2 is: beijing, divorced, 10 years of employment, 80% of victory percentage; the relevance in the embodiment is a number between 0 and 1, and the greater the relevance, the stronger the relevance;
the keyword extraction module is used for extracting keywords in the consultation problem;
the service evaluation module is used for scoring the service of the matched lawyer by the student end;
the total score evaluation module is used for evaluating the total score of the lawyer according to the scores of all historical students on the lawyer to obtain a service total score; specifically, the scoring criterion of the embodiment is to calculate the average score of all historical students on the score of lawyers as the total service score;
the online evaluation module is used for evaluating the online time of the lawyer; specifically, the online time of the lawyer is calculated when the lawyer logs in the system; a first integral comparison table is also stored in advance, and the total score of the online duration can be obtained according to the first integral comparison table;
the matching module is used for matching the information tags corresponding to the keywords from the database according to the extracted keywords, matching lawyers according to the information tags, the service total points and the online time of the lawyers and sending lawyer information of the lawyers to the calling module; specifically, the database stores keyword information and an information tag table corresponding to the keyword in advance; a second integral comparison table is also stored in advance, and corresponding label scores are divided in the second integral comparison table according to the matching rate of the information labels of the lawyers and the information labels of the consultation problems; the matching module searches the information tags corresponding to the keywords from the information tag table according to the extracted keywords, and then matches lawyers according to the information tags, the total service score and the online time lengths of lawyers, for example, if the matching rate of the information tags of a lawyer 1 and the information tags of the consulting questions is 50%, the corresponding tag score is a1, the total service score of the lawyer 1 is b1, and the online time length of the lawyer 1 is c1, the matching score of the lawyer 1 is: w1 a1+ w2 b1+ w3 c1 (where w1, w2, w3 are weights for the information label, the total score of the service, and the online duration of the attorney, respectively, which may be preset); the matching rate of the information label of a certain lawyer 2 and the information label of the consultation question is 70%, the corresponding label score is a2, the service total of the lawyer 2 is b2, the online time of the lawyer 2 is c2, and the matching score of the lawyer 2 is: w1 a2+ w2 b2+ w3 c2, the final attorney, i.e., the attorney with the higher match score, can be obtained by comparing the matching scores of attorney 1 and attorney 2.
And the calling module is used for calling the case and the legal provision with the highest correlation degree with the keyword from the database according to the extracted keyword, and sending the called case and the legal provision to the corresponding lawyer end according to lawyer information. Specifically, the keywords extracted from the consulting question relate to the keyword 1, the keyword 2 and the keyword 3, each keyword has a degree of association with each case and legal provision, and the case and legal provision with the highest degree of association mean: cases and legal provisions with the highest sum of the association degrees with all keywords of the consultation questions.
The student inputs a consultation problem through the student end, the keyword extraction module extracts keywords of the consultation problem, the system matches an information label corresponding to the keywords according to the keywords and matches a proper lawyer according to the information label, the system can intelligently match the lawyer according to the problem proposed by the student, an effective channel for searching the lawyer is provided for the student, and the problem that the student consumes a great deal of energy and cannot find a satisfied lawyer is solved; and the system can intelligently inquire related cases and legal provisions according to the consultation problems provided by the students and can assist lawyers in answering and making decisions on the consultation problems provided by the students, so that higher-quality consultation services are provided for the students.
Example two
1. Rating lawyers
As shown in fig. 1, the difference between the present embodiment and the first embodiment is that the database further stores domain information in advance;
the cloud server further comprises:
the domain matching module is used for matching domain information corresponding to the keywords from the database according to the extracted keywords; for example: keywords 1, 2 and 3 correspond to the intellectual property field; the keywords 4 and 5 correspond to the economic law field; the keywords 6, 7 and 8 correspond to the field of the civil commerce law;
the collecting module is used for collecting historical case processing information of each lawyer in each field, and the historical case processing information comprises the number of case processing pieces, the total service score of each case after processing and the processing duration of each case; specifically, the number of case processing pieces, the total service score after each case processing and the processing time length of each case have respective integral comparison table and weight, and the total score of the lawyer for a certain field can be obtained by weighting and summing the number of case processing pieces, the total service score after each case processing and the score of the processing time length of each case;
the ranking module is used for ranking qualification grades of various fields of lawyers according to the historical case processing information; specifically, assuming that there are five qualification grades in total in the present embodiment, each qualification grade has a score interval, when the total score of a lawyer in a certain field falls into a certain score interval, it represents that the lawyer belongs to the qualification grade of the score interval in the certain field, and the higher the qualification grade, the better the lawyer is in the field; specifically, as shown in table one:
watch 1
Because some lawyers are good in more than one field, with the design, each lawyer has a corresponding qualification grade aiming at each field, and the qualification grade is obtained according to the historical case processing information of each lawyer, and the professionality and the case processing capability of the lawyer can be evaluated more objectively through the historical case processing information.
2. Feedback information of public selection lawyer and suggestion information pushed by system
In this embodiment, the information obtaining module is further configured to obtain a new case and a new legal provision, namely feedback information, which are input by the lawyer through the lawyer end and correspond to the consultation problem; when the system is matched with a lawyer and the lawyer is pushed with related cases and legal provisions, the information is suggested, and if the lawyer considers that the cases and the legal provisions pushed by the system are not good, new cases and new legal provisions corresponding to the consultation problems can be input through the lawyer end;
the cloud server further comprises:
the display module is used for displaying the cases and the legal provisions called by the consultation problem calling module and displaying the newly added cases and the newly added legal provisions input by lawyers;
the selection module is used for allowing other lawyers to select the best case and legal provision for solving the consultation problem, and a selection result is obtained; the system is also equivalent to the same PK of the cases and the legal provisions taken out from the system, the newly added cases and the newly added legal provisions, other lawyers registered with the system can evaluate the cases and the legal provisions taken out from the system, the newly added cases and the newly added legal provisions through the evaluation module, and the cases and the legal provisions with higher quality aiming at the consultation problem can be obtained through the evaluation of the masses;
in this embodiment, the selecting module specifically includes:
the voting recording submodule is used for voting for the cases and the legal provisions called by the calling module, the newly added cases and the newly added legal provisions by other lawyers and recording voting results;
the qualification grade recording submodule is used for acquiring the qualification grade of the lawyer in the consultation question field when the lawyer votes;
and the statistic submodule is used for evaluating and selecting the best case and legal provision for solving the consultation problem according to the voting result and the qualification grade of the voting lawyer aiming at the field to which the consultation problem belongs, so as to obtain an evaluation result. For example, suppose the qualification grade corresponding to the lawyer is the score contributed by voting, that is, suppose the consultation question proposed by the student belongs to the field of economic law, if lawyer 1 votes for the feedback information, the score contributed by the feedback information is 4, and if lawyer 2 votes for the suggestion information pushed by the system, the score contributed by the suggestion information is 1; assume that the voting result is: the total number of votes obtained by the lawyers through the feedback information is m, the total number of votes obtained by the suggestion information pushed by the system is n, the total voting score of the feedback information is the sum of the scores of the voting contributions of the m lawyers, the total voting score of the suggestion information pushed by the system is the sum of the scores of the voting contributions of the n lawyers, and finally, the party with the larger voting score wins the result by comparing the total voting scores of the two. The evaluation module obtains a final evaluation result according to the voting result and the qualification grade of the voting attorneys aiming at the consultation problem, and because attorneys with better grades vote more authoritatively, the evaluation result is more consistent with the consultation problem proposed by students, and attorneys can be assisted to propose better suggestions for the consultation problem.
The score modification module is used for carrying out score deduction or score adding operation on lawyers inputting the newly added cases and the newly added legal provision according to the evaluation result; specifically, if a new case and a new legal provision input by a lawyer win, the service total score of the lawyer in the field is subjected to point adding operation, and if a case and a legal provision pushed by the system win, the service total score of the lawyer in the field is subjected to point subtracting operation, and the qualification grade of the lawyer in the field is influenced by the change of the service total score;
the adding judgment module is used for judging whether the new cases and the new legal provisions input by lawyers are stored in the database or not according to the evaluation result; for example, when the new cases and the new legal provisions input by the lawyer win, the new cases and the new legal provisions are stored in the database; the newly added cases and the newly added legal provisions are stored in the database, so that the storage capacity of the database is enriched, the range of legal knowledge inquiry is expanded, and the retrieval precision is improved;
and the association degree distribution module is used for distributing the association degree of the new cases and the new law provisions with the consultation problems according to the voting results on the basis of the association degree of the cases and the law provisions called by the calling module and the consultation problems when the new cases and the new law provisions are stored in the database. Specifically, the relevance of the case and the legal provision to the consultation problem is embodied on the keywords of the case and the legal provision to the consultation problem; for example, the keywords related to the keywords 1, 2, and 3 extracted from the consultation problem, the association degrees of the keywords 1, 2, and 3 with the cases pushed by the system are a1, b1, and c1, the association degrees of the keywords 1, 2, and 3 with the legal provisions pushed by the system are a2, b2, and c2, respectively, in order to ensure that the association degrees are always greater than or equal to zero and less than or equal to 1, it is assumed that the association degrees are collectively referred to as Q, and the modification formula of the association degrees is: (1-Q) × (m/m + n) - (n/m + n) | + Q, that is, the degree of association between the keyword 1 and the new case is: (1-a 1) | (m/m + n) - (n/m + n) | + a1, the degree of association between the keyword 2 and the newly added case is as follows: (1-b 1) | (m/m + n) - (n/m + n) | + b1, the association between other keywords and the newly added case and the newly added legal provision can be calculated by modifying a formula, which is not exemplified here.
The method comprises the following steps that a PK is shared by a case and a legal provision taken out by a system, a newly added case and a newly added legal provision, other lawyers registered with the system can evaluate the case and the legal provision taken out by the system, the newly added case and the newly added legal provision through an evaluation module, and the case and the legal provision with higher quality aiming at consultation problems are obtained through evaluation by the masses; the evaluation module obtains a final evaluation result according to the voting result and two dimensions of qualification grades of voting attorneys aiming at the consultation problem, and because attorneys with better grades vote more authoritatively, the evaluation result is more fair and convincing; the system can store newly-added cases and legal provisions of lawyers in the database, and the database is enriched continuously; and the association degree distribution module distributes the association degree of the new cases and the new legal provisions and the consultation problem according to the voting result, namely, the association degree of the new cases and the new legal provisions is improved or reduced, so that the adjustment of the association degree of the new cases and the new legal provisions is realized, the self-adaptive optimization of the database is continuously realized, and more accurate and high-quality cases and legal provisions are provided for students.
EXAMPLE III
As shown in fig. 2, the difference between the present embodiment and the second embodiment is that the cloud server further includes:
the comment module is used for commenting the newly added cases, the newly added legal provisions and the cases and the legal provisions called by the system by other lawyers;
the extracting module is also used for extracting newly added keywords with the occurrence frequency higher than a frequency threshold value from the comments;
the semantic analysis module is used for comparing and analyzing the newly added keywords with keywords stored in the database in advance and judging whether the newly added keywords different from the keywords in the database exist or not;
and the association degree assignment module is used for storing the newly added keywords into the database when judging that the newly added keywords are different from the keywords in the database, and assigning the association degree between the newly added keywords and cases and legal provisions pushed by the system according to the occurrence frequency of the newly added keywords. Specifically, assuming that the related key words 4, 5 and 6 of the newly added key words with the occurrence frequency higher than the frequency threshold are extracted from the comments, the association degrees between the key words 4, 5 and 6 and the cases and legal provisions pushed by the system are assigned according to the occurrence frequencies of the key words 4, 5 and 6, for example, the association degrees between the key words 4, 5 and 6 and the cases and legal provisions pushed by the system are e1, f1 and g1, and the association degrees between the key words 4, 5 and 6 and the legal provisions pushed by the system are e2, f2 and g2.
And the association degree distribution module is also used for distributing the association degree of the new cases and the new law provisions with the consultation problems according to the voting results on the basis of the association degree of the cases and the law provisions called by the calling module and the consultation problems when new keywords are stored in the database. Specifically, the modification formula of the degree of association in the second embodiment is used to assign the degree of association between the new keyword and the new case and the new legal provision, for example, the degree of association between the new keyword 4 and the new legal provision is: (1-e 2) | (m/m + n) - (n/m + n) | + e2.
The method has the advantages that new keywords are extracted from feedback information of lawyers for evaluation and comments of suggestion information pushed by a system and stored in the database, storage capacity of the database keywords can be enriched, the association degree between the new keywords and cases and legal provisions participating in evaluation is assigned according to the occurrence frequency of the new keywords in the comments, query precision and range between consultation problems and the cases and the legal provisions can be expanded, and more reliable decision suggestions can be provided for the lawyers through continuous adaptive adjustment and optimization of legal knowledge in the database.
The above description is only an example of the present invention, and the common general knowledge of the known specific structures and characteristics in the schemes is not described herein. It should be noted that, for those skilled in the art, without departing from the structure of the present invention, several changes and modifications can be made, which should also be regarded as the protection scope of the present invention, and these will not affect the effect of the implementation of the present invention and the practicability of the patent. The scope of the claims of the present application shall be determined by the contents of the claims, and the description of the embodiments and the like in the specification shall be used to explain the contents of the claims.
Claims (4)
1. Legal knowledge intelligent query system facing legal consultation service is characterized by comprising a cloud server, a lawyer end and a student end which are connected through a network, wherein the cloud server comprises:
the database is used for storing law-related cases and the association degree of each case and each keyword in advance; legal provisions and the association degree of each legal provision and each keyword are also stored in advance;
the information acquisition module is used for acquiring the consultation questions input by the students through the student terminals;
the keyword extraction module is used for extracting keywords in the consultation problem;
the calling module is used for calling the case and the legal provision with the highest correlation degree with the keyword from the database according to the extracted keyword and sending the case and the legal provision to a lawyer end capable of providing services for students;
the database also stores lawyer information and information labels of each lawyer in advance;
the cloud server further comprises:
the matching module is used for matching the information tags corresponding to the keywords from the database according to the extracted keywords, matching lawyers according to the information tags and sending lawyer information of the lawyers to the calling module;
the calling module is also used for sending the called cases and legal provisions to the corresponding lawyer ends according to lawyer information;
the information acquisition module is also used for acquiring newly added cases and newly added legal provisions corresponding to the consultation problems, which are input by lawyers through lawyers;
the cloud server further comprises:
the display module is used for displaying the cases and the legal provisions called by the consultation problem calling module and displaying the newly added cases and the newly added legal provisions input by lawyers;
the evaluation module is used for evaluating and selecting the best case and legal provision for solving the consultation problem by other lawyers to obtain an evaluation result;
the score modification module is used for carrying out score deduction or score adding operation on lawyers inputting the newly added cases and the newly added legal provision according to the evaluation result;
the database also prestores field information;
the cloud server further comprises:
the domain matching module is used for matching domain information corresponding to the keywords from the database according to the extracted keywords;
the collecting module is used for collecting historical case processing information of each lawyer in each field, and the historical case processing information comprises the number of case processing pieces, the total service score of each case after processing and the processing duration of each case;
the ranking module is used for ranking qualification grades of various fields of lawyers according to the historical case processing information;
the selecting module specifically comprises:
the voting recording submodule is used for voting for the cases and the legal provisions called by the calling module, the newly added cases and the newly added legal provisions by other lawyers and recording voting results;
the qualification grade recording submodule is used for acquiring the qualification grade of the lawyer in the consultation problem field when the lawyer votes;
and the statistic submodule is used for evaluating and selecting the best case and legal provision for solving the consultation problem according to the voting result and the qualification grade of the voting lawyer aiming at the field to which the consultation problem belongs, so as to obtain an evaluation result.
2. The legal knowledge intelligent query system for legal consultancy service as claimed in claim 1, wherein said cloud server comprises:
the service evaluation module is used for enabling the students to score the services of the matched lawyers through student ends;
the total score evaluation module is used for evaluating the total score of the lawyer according to the scores of all historical students on the lawyer to obtain a service total score;
and the matching module is used for matching lawyers according to the information labels and the service total scores.
3. The legal knowledge intelligent query system for legal advisory services according to claim 2, wherein the cloud server comprises:
the online evaluation module is used for evaluating the online time of the lawyer;
and the matching module is used for matching lawyers according to the information labels, the service total points and the online time of the lawyers.
4. The legal knowledge intelligent query system for legal consultancy service as claimed in claim 1, wherein said cloud server further comprises:
the adding judgment module is used for judging whether to store the newly added cases and the newly added legal provisions input by the lawyer into the database according to the evaluation result;
and the association degree distribution module is used for distributing the association degree of the new cases and the new law provisions with the consultation problems according to the voting results on the basis of the association degree of the cases and the law provisions called by the calling module and the consultation problems when the new cases and the new law provisions are stored in the database.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811642178.0A CN109726215B (en) | 2018-12-29 | 2018-12-29 | Legal knowledge intelligent query system for legal consultation service |
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| CN110232138B (en) * | 2019-05-20 | 2022-05-20 | 中国银行股份有限公司 | Service guiding method, device and storage medium |
| CN111159355A (en) * | 2019-12-31 | 2020-05-15 | 中国银行股份有限公司 | Customer complaint order processing method and device |
| CN111581327A (en) * | 2020-04-08 | 2020-08-25 | 华迪计算机集团有限公司 | Administrative law enforcement assisting method and device |
| CN111797212A (en) * | 2020-06-10 | 2020-10-20 | 宁波真了么知识产权服务有限公司 | Legal service system |
| CN116777696B (en) * | 2023-06-30 | 2024-04-30 | 黑龙江大学 | Legal knowledge automatic learning system and method |
| CN116662374B (en) * | 2023-07-31 | 2023-10-20 | 天津市扬天环保科技有限公司 | Information technology consultation service system based on correlation analysis |
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| CN101853449A (en) * | 2010-06-18 | 2010-10-06 | 上海百事通信息技术有限公司 | Legal question intelligent diagnosis method and system |
| CN103164764A (en) * | 2011-12-14 | 2013-06-19 | 杭州律动信息技术有限公司 | Device combining case detail consultation function and lawyer entrustment function |
| 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 |
| US20170046805A1 (en) * | 2015-08-11 | 2017-02-16 | Salman Al-Saud | Lawyer App |
| CN109101512B (en) * | 2017-06-21 | 2021-05-28 | 北京国双科技有限公司 | Construction method of legal database, legal data query method and device |
| CN108920706A (en) * | 2018-07-20 | 2018-11-30 | 吴怡 | A kind of legal advice consulting Database and its construction method |
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