CN111311450B - Big data management platform and method for legal consultation service - Google Patents
Big data management platform and method for legal consultation service Download PDFInfo
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- CN111311450B CN111311450B CN202010131116.4A CN202010131116A CN111311450B CN 111311450 B CN111311450 B CN 111311450B CN 202010131116 A CN202010131116 A CN 202010131116A CN 111311450 B CN111311450 B CN 111311450B
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- 238000013523 data management Methods 0.000 title claims abstract description 24
- 238000000034 method Methods 0.000 title claims abstract description 16
- 238000012545 processing Methods 0.000 claims abstract description 31
- 238000013500 data storage Methods 0.000 claims abstract description 17
- 238000007781 pre-processing Methods 0.000 claims abstract description 15
- 230000008014 freezing Effects 0.000 claims description 19
- 238000007710 freezing Methods 0.000 claims description 19
- 238000012217 deletion Methods 0.000 claims description 18
- 230000037430 deletion Effects 0.000 claims description 18
- 238000013499 data model Methods 0.000 claims description 17
- 238000004140 cleaning Methods 0.000 claims description 15
- 238000010606 normalization Methods 0.000 claims description 14
- 238000012986 modification Methods 0.000 claims description 12
- 230000004048 modification Effects 0.000 claims description 12
- 238000006243 chemical reaction Methods 0.000 claims description 10
- 230000014759 maintenance of location Effects 0.000 claims description 7
- 238000013524 data verification Methods 0.000 claims description 6
- 238000012795 verification Methods 0.000 claims description 2
- 238000009223 counseling Methods 0.000 description 6
- 230000007704 transition Effects 0.000 description 5
- 230000000694 effects Effects 0.000 description 4
- 230000008569 process Effects 0.000 description 3
- 238000010586 diagram Methods 0.000 description 2
- 230000033228 biological regulation Effects 0.000 description 1
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- 238000007726 management method Methods 0.000 description 1
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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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- 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
- G06F16/31—Indexing; Data structures therefor; Storage structures
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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
- G06F16/35—Clustering; Classification
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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 relates to the technical field of legal consultation systems, in particular to a big data management platform and a method for legal consultation services, wherein the system comprises the following components: the data acquisition module is used for acquiring original data; the data processing module is used for processing and storing the original data; the expansion storage module is used for storing non-core data; the data service module comprises an operation module, a data statistics module and a data preprocessing module, wherein the operation module is used for processing and operating the data stored in the data storage module by a user, the data statistics module is used for counting the operation times of the operation module on each type of data, and the data preprocessing module is used for adjusting and expanding the data content stored in the data storage module. The big data management platform and the method for legal consultation service provided by the invention can automatically predict the hot spot of the consultation of the user, store and prepare the data in advance, improve the accuracy of the consultation result and further reduce the operation cost of the platform.
Description
Technical Field
The invention relates to the technical field of legal consultation systems, in particular to a big data management platform and a method for legal consultation services.
Background
Along with the continuous perfection of national legal system, the legal consciousness of citizens is continuously enhanced, people increasingly feel the importance of solving problems by legal means, and the demands of people for obtaining legal knowledge and solving legal problems are continuously increased.
Because of the messy information sources in the traditional legal service industry, the parties generally lack an effective way to find the proper lawyers, and generally need to go to the lawyers of people who are known by the law affairs or the lawyers recommended by the law, so that a great deal of time and energy are consumed, and satisfactory answers of the parties cannot be obtained.
At present, some electronic consultation systems exist, and the problems of legal consultation of users can be solved to a certain extent by means of a preset question-answering mechanism and a question-answering database, so that the problems usually preset by the system are relatively general, and the problems are difficult to answer aiming at specific problems or cases, and the quality of the consultation results has a great relationship with the detail degree of data in the question-answering database. Ideally, the platform needs to provide a very detailed question-answer database for all aspects of the problem, but this greatly increases the storage space and thus the cost required for the platform to store the data.
Disclosure of Invention
The invention provides a big data management platform and a big data management method for legal consultation service, which can automatically predict the hot spot of the consultation of a user, store and prepare data in advance, improve the accuracy of the consultation result and further reduce the operation cost of the platform.
In order to solve the technical problems, the application provides the following technical scheme:
a big data management platform for legal consultation services, comprising:
the data acquisition module is used for acquiring original data;
the data processing module is used for carrying out standardization processing on the original data and storing the processed data;
the data storage module is used for storing core data;
the expansion storage module is used for storing non-core data;
the data service module comprises an operation module, a data statistics module and a data preprocessing module, wherein the operation module is used for processing and operating the data stored in the data storage module by a user, the data statistics module is used for counting the operation times of the operation module on each type of data, and the data preprocessing module is used for predicting consultation hotspots according to the counting result of the data statistics module and adjusting and expanding the data content stored in the storage module according to the consultation hotspots.
In the technical scheme of the invention, the core data refer to data necessary for ensuring the operation of the counseling service, such as laws and regulations, law interpretation and the like, if the counseling is lost, the data cannot be completed, and the non-core data refer to data capable of improving the counseling effect in the counseling process, such as the counseling result can be enriched by related cases of laws, image data corresponding to cases and the like, and the counseling effect is improved. The expansion storage module is equivalent to expanding the storage space of the data storage module, but the non-core data stored by the module is stored into the data storage module according to a conventional method, the non-core data is stored into the expansion storage module, the data in the expansion storage module can be changed in real time under the running condition of the platform, and the data can be updated according to specific use scenes, so that the expansion cost of the data storage of the platform side is reduced. The data service module can provide data operation service to the outside, so that a user can conveniently process data, the data service module can record the data processing operation, further, the data which are frequently operated can be judged and predicted, then the content in the expansion storage module is adjusted through the data preprocessing module, the utilization rate of the expansion storage module is improved, and the storage cost of a platform side is reduced on the premise that the consulting service effect and experience are not reduced.
Further, the processing operations include consulting retrieval, data addition, data deletion, and data modification; the operation module comprises a consultation retrieval module, a data modification module, a data addition module and a data deletion module, wherein the consultation retrieval module is used for retrieving data in the data storage module according to an input consultation problem and generating a consultation result, and the data modification module, the data addition module and the data deletion module are respectively used for carrying out data modification, data addition and data deletion on the data by a user.
The data in the data storage module is conveniently edited and operated by a manager through the consultation and retrieval module, the data modification module, the data addition module and the data deletion module.
Further, the data processing module comprises a data model generating module and a data normalization processing module, wherein the data model generating module is used for generating a data model according to user configuration and original data, the data model comprises a storage position, data classification, a data format, a storage mode, a storage position, an index keyword and a normalization rule, and the data normalization processing module is used for performing normalization processing on data according to the data model.
By constructing the data model, different types of data have different data models, so that the management of different types of data is convenient.
Further, the data statistics module is used for counting the consultation retrieval times corresponding to the data under each data classification; the data preprocessing module comprises a consultation hot spot prediction module and a data pre-adding module, wherein the consultation hot spot prediction module is used for predicting the consultation hot spot according to the statistical result of the data statistics module, the data pre-adding module is used for generating a data pre-acquisition keyword according to the predicted consultation hot spot, the data acquisition module is used for acquiring corresponding original data according to the data pre-acquisition keyword, and the data pre-adding module is also used for adding the data acquired according to the data pre-acquisition keyword into the expansion storage module.
And predicting a consultation hot spot according to the data statistics result, acquiring new data according to the hot spot, and adding the new data into the expansion storage, so as to ensure that the consultation aiming at the hot spot has enough data support and ensure the consultation experience of a user.
Further, the data acquisition module comprises a search engine data acquisition module, a client data acquisition module, a data importing module and a cooperation platform data acquisition module, wherein the search engine data acquisition module is used for acquiring data content related to a data pre-acquisition keyword through a third-party search engine; the client data acquisition module is used for submitting data for a user, the data importing module is used for manually importing data for a manager, and the cooperation platform data acquisition module is used for acquiring related data content according to the data pre-acquisition keywords.
Acquiring data through multiple aspects ensures that a sufficient source of data is available.
Further, the data preprocessing module further comprises a data freezing point prediction module and a deletion module, wherein the data freezing point prediction module is used for generating a predicted freezing point according to the statistical result of the data statistics module, and the deletion module is used for deleting relevant data in the expansion storage module according to the predicted freezing point.
The data with smaller access possibility is predicted by the data freezing point prediction module, so that the data is timely deleted from the expansion storage module, and the occupied storage space is reduced.
Further, the deleting module comprises a marking module, the marking module is used for marking the data related to the predicted freezing point in the expansion storage module according to the predicted freezing point, and the deleting module is used for deleting the data in the expansion storage module according to the marking.
And the data are marked through the marking module, so that the data are convenient to clean.
The marking module is further used for cleaning marks of corresponding data after the operation module operates the data, the deleting module is further used for recording mark retention time length of each marked data, and the deleting module is used for deleting marked data with the mark retention time length larger than a preset value in the expansion storage module.
Judging whether to delete according to the mark retention time length, and avoiding false deletion.
Further, the data standardization processing module comprises a data verification module, a data cleaning module and a data conversion module, wherein the data conversion module is used for converting data according to standardization rules, the data verification module is used for verifying the data according to the standardization rules, and the data cleaning module is used for repairing or cleaning the data with verification errors.
And the data normalization processing module is used for converting, checking and cleaning the acquired original data, so that the data normalization is ensured.
Further, the application also discloses a big data management method for legal consultation services, and the big data management platform for legal consultation services is used in the method.
By using the big data management platform for legal consultation service, the content in the expansion storage module can be adjusted, so that the utilization rate of the expansion storage module is improved, and the storage cost of the platform side is reduced on the premise of not reducing the data service experience.
Drawings
FIG. 1 is a logic block diagram of a big data management platform and method embodiment one for legal consultation services of the present invention;
FIG. 2 is a logic block diagram of a big data management platform and method embodiment two for legal consultation services according to the present invention.
Detailed Description
The following is a further detailed description of the embodiments:
example 1
As shown in fig. 1, the big data management platform for legal consultation service of the present embodiment includes a data acquisition module, a data processing module, a data storage module, an expansion storage module and a data service module.
Specifically, in this embodiment, the data acquisition module is configured to acquire original data according to an acquired keyword, where the data acquisition module includes a search engine data acquisition module, a client data acquisition module, a data importing module, and a collaboration platform data acquisition module, and the search engine data acquisition module is configured to acquire data content related to the acquired keyword through a third party search engine such as a hundred degrees search engine, a dog search engine, and the like; the client data acquisition module is used for submitting data to a user, for example, sending related information to a user client, in this embodiment, a mobile phone APP, so as to collect user cases or related insights; the data importing module is used for importing data manually by a manager, and the collaboration platform data acquiring module is used for acquiring related data content from a third party sharing platform, such as a collaboration media platform, a third party database platform and the like, according to an acquisition keyword, wherein the acquisition keyword comprises a data pre-acquisition keyword, and in the embodiment, the original data comprises but is not limited to cases, laws, documents, statistical data and the like, and the form of the original data can be text, images or video.
The data processing module is used for carrying out standardization processing on the original data and carrying out classified storage on the processed data; the data processing module includes a data model generating module and a data normalization processing module, the data model generating module is configured to generate a data model according to user configuration and original data, in this embodiment, the data model includes a storage location, a data classification, a data format, a storage mode, a storage location, an index keyword, and a normalization rule, and the normalization rule includes a data conversion rule, a data cleaning rule, and a data verification rule. The data normalization processing module is used for normalizing the data according to the data model. The data standardization processing module comprises a data verification module, a data cleaning module and a data conversion module, wherein the data conversion module is used for converting data according to a data conversion rule, such as unit conversion, and converting the data into standard units through conversion. The data checking module is used for checking the data according to the data checking rule, such as range checking, judging whether the value of the compensation data of one case is in a reasonable range or has conflict with other values, whether the value is repeated, and the like, the data cleaning module is used for repairing or cleaning the data with checking errors, the data cleaning module is used for removing the repeated data, repairing the data with errors according to the cleaning rule, such as deducing the current data according to other values, and cleaning if the data cannot be repaired.
The data storage module is used for storing core data, and the expansion storage module is used for storing uncore data, wherein in the embodiment, the uncore data does not influence consultation.
The data service module comprises an operation module, a data statistics module and a data preprocessing module, wherein the operation module is used for a user to process the data stored in the data storage module, and the processing operation comprises consultation retrieval, data addition, data deletion and data modification; the operation module comprises a consultation and retrieval module, a data modification module, a data addition module and a data deletion module, wherein the consultation and retrieval module is used for retrieving data in the data storage module according to an input consultation problem and generating a consultation result, and the data modification module, the data addition module and the data deletion module are respectively used for a user to modify, add and delete the data.
The data statistics module is used for counting the operation times of the operation module on each type of data, and the data preprocessing module is used for predicting the consultation hot spot according to the statistical result of the data statistics module and adjusting and expanding the data content stored in the storage module according to the consultation hot spot.
The data statistics module is used for counting the consultation retrieval times corresponding to the data under each data classification. The data preprocessing module comprises a consultation hot spot prediction module and a data pre-adding module, wherein the consultation hot spot prediction module is used for predicting consultation hot spots according to the statistical result of the data statistics module, namely, hot spot problems or hot spot fields which are possibly intensively consulted by a user in a near period of time, the data pre-adding module is used for generating data pre-acquisition keywords according to the predicted consultation hot spots, the data acquisition module is used for acquiring corresponding original data according to the data pre-acquisition keywords, and the data pre-adding module is also used for adding the data acquired according to the data pre-acquisition keywords into the expansion storage module.
In this embodiment, the data collection module is further configured to collect social hotspots that occur recently, the data statistics module is further configured to count consultation hotspots in a historical period, and the consultation hotspot prediction module predicts the consultation hotspots according to statistics of the number of times of query operations of users in a current period, if a large number of people consult legal problems of removal reimbursement in the recent period, predicts the content related to the consultation hotspots as the consultation hotspots in the recent period, and predicts the current consultation hotspots according to the consultation hotspots in the historical period, if the current time is at the end of year, and counts the legal consultation problems of the hotspots in the past year end period and uses the same as the consultation hotspots predicted in the present year; meanwhile, the consultation hot spot prediction module is also used for predicting the current consultation hot spot according to the social hot spot, if a transition occurs in a certain place recently, the problem related to the transition is predicted to become the consultation hot spot, the data pre-adding module forms data pre-acquisition keywords according to the consultation hot spot predicted by the consultation hot spot prediction module, keywords related to each type of consultation hot spot are stored in the data storage module, and if the pre-acquisition keywords related to the transition are transition compensation, transition arrangement and the like, the data acquisition module acquires related cases, laws, documents, statistical data and the like according to the pre-acquisition keywords. And the data are stored in an expansion storage module, so that the data are stored and prepared in advance according to the related data required by the predicted hot spot, and the user experience can be improved. The embodiment also discloses a big data management method for legal consultation services, which uses the big data management platform for legal consultation services.
Example two
As shown in fig. 2, the difference between the present embodiment and the first embodiment is that in this embodiment, the data preprocessing module further includes a data freezing point prediction module and a deletion module, where the data freezing point prediction module is configured to generate a predicted freezing point according to the statistical result of the data statistics module, and the deletion module is configured to delete relevant data in the expansion storage module according to the predicted freezing point. The deleting module comprises a marking module, wherein the marking module is used for marking data related to the predicted freezing point in the expansion storage module according to the predicted freezing point, the marking module is also used for clearing marks of corresponding data after the operation module operates the data, the deleting module further comprises a timing module, the timing module is used for recording mark retention time of each marked data, and the deleting module is used for deleting marked data with the mark retention time longer than a preset value in the expansion storage module.
The foregoing is merely an embodiment of the present invention, the present invention is not limited to the field of this embodiment, and the specific structures and features well known in the schemes are not described in any way herein, so that those skilled in the art will know all the prior art in the field before the application date or priority date, and will have the capability of applying the conventional experimental means before the date, and those skilled in the art may, in light of the teaching of this application, complete and implement this scheme in combination with their own capabilities, and some typical known structures or known methods should not be an obstacle for those skilled in the art to practice this application. It should be noted that modifications and improvements can be made by those skilled in the art without departing from the structure of the present invention, and these should also be considered as the scope of the present invention, which does not affect the effect of the implementation of the present invention and the utility of the patent. The protection scope of the present application shall be subject to the content of the claims, and the description of the specific embodiments and the like in the specification can be used for explaining the content of the claims.
Claims (7)
1. The big data management platform for legal consultation service is characterized in that: comprising the following steps:
the data acquisition module is used for acquiring original data;
the data processing module is used for carrying out standardization processing on the original data and storing the processed data;
the data storage module is used for storing core data;
the expansion storage module is used for storing non-core data;
the data service module comprises an operation module, a data statistics module and a data preprocessing module, wherein the operation module is used for processing and operating the data stored in the data storage module by a user, the data statistics module is used for counting the operation times of the operation module on each type of data, and the data preprocessing module is used for predicting consultation hotspots according to the counting result of the data statistics module and adjusting and expanding the data content stored in the storage module according to the consultation hotspots;
the processing operations include consulting retrieval, data addition, data deletion, and data modification; the operation module comprises a consultation retrieval module, a data modification module, a data addition module and a data deletion module, wherein the consultation retrieval module is used for retrieving data in the data storage module according to an input consultation problem and generating a consultation result, and the data modification module, the data addition module and the data deletion module are respectively used for a user to modify, add and delete the data;
the data processing module comprises a data model generation module and a data normalization processing module, wherein the data model generation module is used for generating a data model according to user configuration and original data, the data model comprises a storage position, data classification, a data format, a storage mode, a storage position, index keywords and a normalization rule, and the data normalization processing module is used for performing normalization processing on data according to the data model;
the data statistics module is used for counting the consultation retrieval times corresponding to the data under each data classification; the data preprocessing module comprises a consultation hot spot prediction module and a data pre-adding module, wherein the consultation hot spot prediction module is used for predicting the consultation hot spot according to the statistical result of the data statistics module, the data pre-adding module is used for generating a data pre-acquisition keyword according to the predicted consultation hot spot, the data acquisition module is used for acquiring corresponding original data according to the data pre-acquisition keyword, and the data pre-adding module is also used for adding the data acquired according to the data pre-acquisition keyword into the expansion storage module;
the data statistics module is also used for counting the consultation hotspots in the historical time period, and the consultation hotspot prediction module is also used for predicting the current consultation hotspots according to the consultation hotspots in the historical time period; the data acquisition module is also used for acquiring social hotspots, and the consultation hotspot prediction module is also used for predicting the current consultation hotspots according to the social hotspots.
2. The big data management platform for legal consultation services of claim 1, further comprising: the data acquisition module comprises a search engine data acquisition module, a client data acquisition module, a data importing module and a cooperation platform data acquisition module, wherein the search engine data acquisition module is used for acquiring data content related to a data pre-acquisition keyword through a third-party search engine; the client data acquisition module is used for submitting data for a user, the data importing module is used for manually importing data for a manager, and the cooperation platform data acquisition module is used for acquiring related data content according to the data pre-acquisition keywords.
3. The big data management platform for legal consultation services of claim 2, further comprising: the data preprocessing module further comprises a data freezing point prediction module and a deletion module, wherein the data freezing point prediction module is used for generating a predicted freezing point according to the statistical result of the data statistics module, and the deletion module is used for deleting relevant data in the expansion storage module according to the predicted freezing point.
4. The big data management platform for legal consultation services of claim 3, further comprising: the deleting module comprises a marking module, the marking module is used for marking the data related to the predicted freezing point in the expansion storage module according to the predicted freezing point, and the deleting module is used for deleting the data in the expansion storage module according to the marking.
5. The big data management platform for legal consultation services of claim 4, further comprising: the marking module is also used for removing marks of corresponding data after the operation module operates the data, the deleting module is also used for recording mark retention time length of each marked data, and the deleting module is used for deleting marked data with the mark retention time length larger than a preset value in the expansion storage module.
6. The big data management platform for legal consultation services of claim 5, further comprising: the data standardization processing module comprises a data verification module, a data cleaning module and a data conversion module, wherein the data verification module is used for verifying data according to standardization rules, the data conversion module is used for converting the data according to the standardization rules, and the data cleaning module is used for repairing or cleaning data with verification errors.
7. The big data management method for legal consultation service is characterized in that: use of the big data management platform for legal consultation services of any of claims 1-6.
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