CN112000790A - Legal text accurate retrieval method, terminal system and readable storage medium - Google Patents
Legal text accurate retrieval method, terminal system and readable storage medium Download PDFInfo
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- CN112000790A CN112000790A CN202010855262.1A CN202010855262A CN112000790A CN 112000790 A CN112000790 A CN 112000790A CN 202010855262 A CN202010855262 A CN 202010855262A CN 112000790 A CN112000790 A CN 112000790A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F16/33—Querying
- G06F16/332—Query formulation
- G06F16/3329—Natural language query formulation or dialogue systems
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F16/33—Querying
- G06F16/3331—Query processing
- G06F16/334—Query execution
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F16/33—Querying
- G06F16/335—Filtering based on additional data, e.g. user or group profiles
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F16/33—Querying
- G06F16/338—Presentation of query results
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F40/00—Handling natural language data
- G06F40/20—Natural language analysis
- G06F40/279—Recognition of textual entities
- G06F40/284—Lexical analysis, e.g. tokenisation or collocates
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/18—Legal services; Handling legal documents
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management
Abstract
The invention discloses a legal text accurate retrieval method, a terminal system and a readable storage medium, belonging to the technical field of data processing, wherein the retrieval method comprises the following steps: constructing a background database based on laws and regulations, and performing structural processing on the background database to form a plurality of laws and regulations nodes; inputting a keyword through a user instruction input window; matching and comparing the keywords with the legal rules nodes, and selecting related legal provisions from a background database to form a minimized accurate legal rule cluster; and presenting the minimized accurate law cluster to a user through a retrieval result according to a certain sequence, so as to achieve the purposes of providing an internet tool for accurately retrieving laws and regulations and improving the accuracy of legal inquiry and the efficiency of legal service.
Description
Technical Field
The invention belongs to the technical field of data processing, particularly relates to data operation and processing in the field of legal documents, and particularly relates to a legal text accurate retrieval method, a terminal system and a readable storage medium.
Background
The understanding and cognition of the public society on laws and regulations are basic conditions of the national legislation level, but the reality is that the understanding and mastering degree of a large number of social individuals including small and medium-sized enterprises and small and medium-sized enterprise owners on laws and regulations is low, so that the law and regulation guaranteeing capacity of social interaction is greatly weakened. The nation also spends a lot of force to promote law treatment and publicity, but the accuracy of the general law is seriously insufficient.
Many current legislative activities are the comprehensive recommendation and interpretation of legislation in ministry, but in practice the requirements are far from the public. According to the feedback of social public and general law workers, social individuals (natural people, legal people and other organizations) only concern individual regulations, individual problems or individual key points to a great extent on understanding legal regulations and legal problems, but the general law on the public generally does not have a great effect, but is tired. Meanwhile, the main problem of the conventional legal text retrieval is that the retrieval is not accurate, a large number of legal retrieval results can be presented, but are presented to a user in a full text mode of legal specification, and the user can find required document information in a manual mode from a large number of characters, symbols and information after reading the full text, so that great time is consumed for reading all documents. Especially, some legal texts with huge characters, symbols and information amount occupy too large proportion on the characters, so that people needing to inquire spend a great amount of time and energy to perform 'manual' fine selection to find the information result to be searched. For the general public and the non-professional social individuals, the legal knowledge to be searched and the legal answers to be obtained are very limited, and if the long-time large-scale search needs to be carried out, certain professional knowledge needs to be mastered by self to 'select' the answers, so that the time is greatly wasted. This also results in inadequate accuracy for the use of legal norms.
When the public uses legal knowledge, the public often has difficulty in accurately finding out relevant legal points, so that the kinetic energy for seeking legal assistance by the public is disturbed, and the greatest difficulty of the current general law and legal work is formed. At present, no legal dictionary exists, which is similar to a Xinhua dictionary or a dictionary sea and provides accurate legal knowledge inquiry for a user. When the masses use the law, the masses can only open a whole legal provision to collect corresponding knowledge or a target in the legal provision, like a sea fishing needle, so that the legal service and legal consultation often have the condition that the knowledge of the two parties is obviously unequal, and the legal service efficiency facing the broad public is to be improved urgently. In addition, the science and technology of the general law are poor, law treatment education approaches are separated from the internet society, the internet thinking, technology, tools, achievements and other reconstruction law treatment education means and contents are rarely applied, the education mode which is disjointed from the era is difficult to influence the life value view, the occupation risk view and the law treatment thinking in the soul depth of an educated person, and the network strength and social consensus for forming law treatment are difficult to promote. The common practice process is lack of modern technological means, and is often on-site common, full-space irrigation and professor, so the common practice has very poor effect.
In conclusion, a convenient and accurate technical means for legal publicity and legal service is not provided for the current situation.
Disclosure of Invention
In view of the above, in order to solve the above problems in the prior art, the present invention is directed to providing a method, a terminal system and a readable storage medium for accurately retrieving a legal document, so as to achieve the purpose of providing an internet tool for accurately retrieving legal rules and improving the accuracy of legal inquiry and the efficiency of legal services.
The technical scheme adopted by the invention is as follows: an accurate retrieval method for legal texts is characterized by comprising the following steps:
constructing a background database based on laws and regulations, and performing structural processing on the background database to form a plurality of laws and regulations nodes;
inputting a keyword through a user instruction input window;
matching and comparing the keywords with the legal rules nodes, and selecting related legal provisions from a background database to form a minimized accurate legal rule cluster;
and presenting the minimized accurate regulation cluster to a user through a retrieval result presentation window.
Further, a background database is established through system work of the terminal, and the background database is subjected to structured processing.
Further, the minimized accurate regulation cluster forming method comprises the following steps:
carrying out full-text search in the established background database, positioning legal and legal nodes in a matching and comparing mode and locking legal provisions corresponding to the legal and legal nodes;
all locked legal provisions are aggregated to form a minimized accurate legislative cluster.
Further, the method for matching and aligning comprises the following steps:
preprocessing keywords input by a user through a word segmentation technology to form a node unit;
and traversing all legal and legal nodes and comparing with the node units respectively.
Further, the minimized accurate regulation cluster is ranked according to a ranking rule preset by a user and then presented to the user through a retrieval result presentation window
The present invention also provides a terminal system, which comprises: the system comprises a background database, an instruction input module, a retrieval module and a retrieval result presentation module;
the background database is used for forming a plurality of legal and legal nodes;
the instruction input module is used for inputting key words by a user;
the retrieval module is used for matching and comparing the keywords with the legal regulation nodes and selecting related legal provisions from a background database to form a minimized accurate regulation cluster;
and the retrieval result presenting module is used for presenting the minimized accurate regulation cluster to a user.
Also provided in the present invention is a terminal-readable storage medium having stored thereon a legal text accurate retrieval program, which when executed by a processor implements the steps of the legal text accurate retrieval method as described above.
The invention has the beneficial effects that:
1. by adopting the legal text accurate retrieval method provided by the invention, thousands of legal provisions are decomposed into knowledge segments which can be freely combined through an intelligent word segmentation technology, corresponding legal standard clusters are directly provided for the retrieval content of the masses, and the professional doorways of legal retrieval and legal understanding are reduced, so that the legal text accurate retrieval method has obvious intelligent characteristics; the legal service of accurate inquiry helps both sides of legal service worker and ordinary masses user to promote the accurate inquiry of legal knowledge point, avoided everybody to waste too much time on irrelevant legal knowledge point, improved the directive property and the rate of accuracy of legal service for legal service no longer is the "knowledge hole" that is difficult to understand to ordinary masses, from this to the quality of legal service effectively the promotion that is showing, simultaneously, manpower and materials have been saved greatly, the efficiency and the precision of inquiry have been improved.
Drawings
FIG. 1 is a block diagram of the overall workflow of a legal text accurate retrieval method provided by the present invention;
fig. 2 is a system structure block diagram of a terminal system for legal text accurate retrieval provided by the present invention.
Detailed Description
Reference will now be made in detail to embodiments of the present application, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar modules or modules having the same or similar functionality throughout. The embodiments described below with reference to the drawings are exemplary only for the purpose of explaining the present application and are not to be construed as limiting the present application. On the contrary, the embodiments of the application include all changes, modifications and equivalents coming within the spirit and terms of the claims appended hereto.
Example 1
As shown in fig. 1, the present embodiment specifically provides a legal text accurate retrieval method, and the specific retrieval method includes:
s1: a background database based on laws and regulations is constructed through system work of a terminal, and the background database is subjected to structural processing to form a plurality of laws and regulations nodes; the terminal is a computer, a server and the like, and can perform complex algorithm calculation to construct a background database based on laws and regulations. The background database is subjected to structured processing, and structured data refers to: the data with fixed format or limited length, such as database, metadata, etc., in this embodiment, the database compiles the laws and regulations according to the case of the structure of the department, so that the user can inquire the contents of the laws and regulations.
S2: the keywords are input through a user command input window, and the keywords are legal terms in legal regulations, such as: divorce, robbery, etc.;
s3: matching and comparing the keywords with the legal rules nodes, and selecting related legal provisions from a background database to form a minimized accurate legal rule cluster; in practical application, the method specifically comprises the following steps:
s301: preprocessing the keywords input by a user by a word segmentation technology taking a single 'word' as a unit to obtain a node unit; if the keyword is a single 'word', the keyword is taken as a node unit;
s302: performing full-text search in the established background database, traversing all legal nodes, respectively comparing the legal nodes with the node units, and performing line-by-line keyword (node unit) matching to search legal nodes completely matched with the node units; the working principle is as follows: because the background database is subjected to structuring processing, the characteristic attribute of each line of data is obtained by analyzing each line of data in the structured database, the bytes contained in the keywords (namely the node units obtained by preprocessing) are obtained and are respectively matched with the bytes (the characteristic attribute of each line of data) appearing in each line of data;
s303: and positioning the legal regulation node where the node unit is located by the node unit in a complete matching mode and locking the legal provision corresponding to the legal regulation node. For example, the following steps are carried out: if the keyword input by the user is divorce, the keyword is split into two character nodes of divorce and married through a word segmentation technology; and performing full-text search in a background database, forming a node unit by the divorce and the marriage, matching the node unit with the legal and legal nodes, and if the matching is successful (the divorce appears in the legal and legal nodes), retaining the legal and legal nodes. One implementation principle is listed as follows: firstly, traversing all lawful rule nodes by the word node of 'leaving', matching and screening out the initially selected lawful rule nodes containing the word node of 'leaving', then traversing all the initially selected lawful rule nodes by the word node of 'wedding', positioning the lawful rule nodes continuously appearing in two word nodes of 'leaving' and 'wedding' (namely forming the keyword of 'leaving'), and finally locking the lawful provision corresponding to the lawful rule nodes.
Examples of the "law and regulation nodes" and the "law provisions" are as follows: the eighteenth clause of the fifth chapter of the "marital registration regulations" is charged for "(three) handling marital registration or reissuing a marriage certificate, the divorce certificate exceeding the charging standard. ", then" (three) transact the marriage registration or reissue the marriage certificate, the divorce certificate exceeds the charge standard for a fee. "is a law and regulation node, and the legal provision in which the law and regulation node is located is eighteenth in chapter five of marital registration regulation, and is presented to the user.
S304: all locked legal provisions are aggregated to form a minimized accurate legislative cluster.
S4: and sequencing the minimized accurate rule cluster through a sequencing rule preset by a user, and then presenting the result to the user through a retrieval result presentation window. The preset sort rule by the user can be set in the user instruction input window, for example: sequencing is carried out according to the byte length of the legal provisions in the accurate regulation cluster, or sequencing is carried out according to the relevance of chapters where the legal provisions are located, and the purpose is that the minimized accurate regulation cluster has regularity in the display result of the user so that the user can quickly look up the accurate regulation cluster.
Example 2
As shown in fig. 2, the present embodiment specifically provides a terminal system, which is based on a legal text accurate retrieval method, and the terminal system includes the following steps:
the system comprises: the system comprises a background database, an instruction input module, a retrieval module and a retrieval result presentation module;
the background database is used for forming a plurality of legal and legal nodes, and can be stored in a remote server;
the instruction input module is used for inputting keywords by a user, and is in communication connection with the retrieval module so as to transmit a signal of the keywords input by the user to the retrieval module;
the retrieval module is used for matching and comparing the keywords with the legal regulation nodes and selecting related legal provisions from a background database to form a minimized accurate regulation cluster; the retrieval module is in communication connection with the retrieval result presentation module so as to transmit the minimized accurate rule cluster to the retrieval result presentation module, and is also in communication connection with the background database so as to acquire data in the background database in real time;
the retrieval result presentation module is used for presenting the minimized accurate rule cluster to the user, and the user can quickly acquire all legal provisions related to the key words.
Example 3
In this embodiment, a terminal readable storage medium is provided, which stores thereon a legal text accurate retrieval program, and when executed by a processor, the legal text accurate retrieval program implements the steps of the legal text accurate retrieval method as described in embodiment 1 above. In practical application, the terminal can be selected to adopt a mobile terminal (for example, a smart phone), and the above legal text accurate retrieval program is realized through a WeChat applet, and relevant operations are carried out on the mobile terminal.
It should be noted that, in the description of the present application, the terms "first", "second", etc. are used for descriptive purposes only and are not to be construed as indicating or implying relative importance. Further, in the description of the present application, the meaning of "a plurality" means at least two unless otherwise specified.
Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing specific logical functions or steps of the process, and the scope of the preferred embodiments of the present application includes other implementations in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the present application.
It should be understood that portions of the present application may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the various steps or methods may be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
It will be understood by those skilled in the art that all or part of the steps carried by the method for implementing the above embodiments may be implemented by hardware related to instructions of a program, which may be stored in a terminal readable storage medium, and when executed, the program includes one or a combination of the steps of the method embodiments.
In addition, functional units in the embodiments of the present application may be integrated into one processing module, or each unit may exist alone physically, or two or more units are integrated into one module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode. The integrated module, if implemented in the form of a software functional module and sold or used as a separate product, may also be stored in a terminal-readable storage medium.
The readable storage medium mentioned above may be a read-only memory, a magnetic or optical disk, etc.
In the description herein, reference to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the application. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
Although embodiments of the present application have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present application, and that variations, modifications, substitutions and alterations may be made to the above embodiments by those of ordinary skill in the art within the scope of the present application.
Claims (7)
1. An accurate retrieval method for legal texts is characterized by comprising the following steps:
constructing a background database based on laws and regulations, and performing structural processing on the background database to form a plurality of laws and regulations nodes;
inputting a keyword through a user instruction input window;
matching and comparing the keywords with the legal rules nodes, and selecting related legal provisions from a background database to form a minimized accurate legal rule cluster;
and presenting the minimized accurate regulation cluster to a user through a retrieval result presentation window.
2. The legal text accurate retrieval method according to claim 1, wherein a background database is established through system work of the terminal, and the background database is structured.
3. The method of claim 1, wherein the minimized accurate legislation clustering method comprises:
carrying out full-text search in the established background database, positioning legal and legal nodes in a matching and comparing mode and locking legal provisions corresponding to the legal and legal nodes;
all locked legal provisions are aggregated to form a minimized accurate legislative cluster.
4. The legal text accurate retrieval method according to claim 1 or 3, wherein the method for matching and comparing comprises:
preprocessing keywords input by a user through a word segmentation technology to form a node unit;
and traversing all legal and legal nodes and comparing with the node units respectively.
5. The legal text accurate retrieval method of claim 1, wherein the minimized accurate legal cluster is ranked by a ranking rule preset by a user and then presented to the user through a retrieval result presentation window.
6. A terminal system, characterized in that the system comprises: the system comprises a background database, an instruction input module, a retrieval module and a retrieval result presentation module;
the background database is used for forming a plurality of legal and legal nodes;
the instruction input module is used for inputting key words by a user;
the retrieval module is used for matching and comparing the keywords with the legal regulation nodes and selecting related legal provisions from a background database to form a minimized accurate regulation cluster;
and the retrieval result presenting module is used for presenting the minimized accurate regulation cluster to a user.
7. A terminal-readable storage medium, characterized in that the terminal-readable storage medium has stored thereon a legal text accurate retrieval program, which when executed by a processor implements the steps of the legal text accurate retrieval method according to any one of claims 1-5.
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| CN113779230A (en) * | 2021-09-15 | 2021-12-10 | 广州网律互联网科技有限公司 | Law recommendation method, system and equipment based on law understanding |
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| CN112000790B (en) | 2023-07-25 |
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