CN110222669A - A kind of case evidence intelligence checking method and system - Google Patents
A kind of case evidence intelligence checking method and system Download PDFInfo
- Publication number
- CN110222669A CN110222669A CN201910523597.0A CN201910523597A CN110222669A CN 110222669 A CN110222669 A CN 110222669A CN 201910523597 A CN201910523597 A CN 201910523597A CN 110222669 A CN110222669 A CN 110222669A
- Authority
- CN
- China
- Prior art keywords
- evidence
- case
- true
- model
- testing
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 44
- 238000012360 testing method Methods 0.000 claims abstract description 48
- 238000003058 natural language processing Methods 0.000 claims description 3
- 235000013399 edible fruits Nutrition 0.000 claims description 2
- 206010039203 Road traffic accident Diseases 0.000 description 27
- 230000007547 defect Effects 0.000 description 21
- 238000012545 processing Methods 0.000 description 9
- 238000004458 analytical method Methods 0.000 description 7
- 230000008569 process Effects 0.000 description 7
- 239000000047 product Substances 0.000 description 6
- 238000005516 engineering process Methods 0.000 description 5
- 238000012797 qualification Methods 0.000 description 5
- 230000000694 effects Effects 0.000 description 4
- 238000011835 investigation Methods 0.000 description 4
- 230000015572 biosynthetic process Effects 0.000 description 3
- 238000007405 data analysis Methods 0.000 description 3
- 239000000463 material Substances 0.000 description 3
- 230000000246 remedial effect Effects 0.000 description 3
- 238000010276 construction Methods 0.000 description 2
- 230000007812 deficiency Effects 0.000 description 2
- 201000010099 disease Diseases 0.000 description 2
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 description 2
- 230000006870 function Effects 0.000 description 2
- 238000007689 inspection Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 210000000056 organ Anatomy 0.000 description 2
- 238000012795 verification Methods 0.000 description 2
- 101000911390 Homo sapiens Coagulation factor VIII Proteins 0.000 description 1
- 239000006227 byproduct Substances 0.000 description 1
- 230000008094 contradictory effect Effects 0.000 description 1
- 230000002950 deficient Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000000556 factor analysis Methods 0.000 description 1
- 102000057593 human F8 Human genes 0.000 description 1
- 230000010354 integration Effects 0.000 description 1
- 230000002452 interceptive effect Effects 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 239000000203 mixture Substances 0.000 description 1
- 239000004081 narcotic agent Substances 0.000 description 1
- 230000008520 organization Effects 0.000 description 1
- 230000000135 prohibitive effect Effects 0.000 description 1
- 230000000506 psychotropic effect Effects 0.000 description 1
- 229940047431 recombinate Drugs 0.000 description 1
- 230000001105 regulatory effect Effects 0.000 description 1
- 239000000126 substance Substances 0.000 description 1
Classifications
-
- 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
-
- 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—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/18—Legal services
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V30/00—Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition
- G06V30/40—Document-oriented image-based pattern recognition
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V30/00—Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition
- G06V30/10—Character recognition
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Tourism & Hospitality (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Artificial Intelligence (AREA)
- Economics (AREA)
- Strategic Management (AREA)
- General Business, Economics & Management (AREA)
- Primary Health Care (AREA)
- Marketing (AREA)
- Human Resources & Organizations (AREA)
- Audiology, Speech & Language Pathology (AREA)
- Computational Linguistics (AREA)
- General Engineering & Computer Science (AREA)
- Technology Law (AREA)
- Multimedia (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The embodiment of the invention discloses a kind of case evidence intelligence checking method and systems, which comprises scans and identifies the case evidence in case folder；Building case includes multiple true nodes in the fact structural model by true structural model；It obtains the common evidence for proving the true node and establishes correlation model with the true node；Establish Evidence testing judgment models；The case evidence is compared with the common evidence of acquisition, according to the correlation model of comparison result and common evidence and true node, determines the Concrete facts that the case evidence proves；The Concrete facts proved according to the case evidence and the Evidence testing judgment models, obtain the Evidence testing result of the case, automatic degree is high, reduce manually-operated workload, it really realizes and " intelligence " of evidence is examined, the working efficiency for improving judge, meets the greater demand of user.
Description
Technical field
The present embodiments relate to case Evidence testing technical fields, and in particular to a kind of case evidence intelligence checking method
And system.
Background technique
" Civil Procedure Law of The People's Republic 0f China " the 63rd article of regulation: " evidence includes: the statement of (one) party；
(2) documented evidence；(3) material evidence；(4) audiovisuals；(5) electronic data；(6) testimony of witnesses；(7) expert opinion；(8) it surveys
Test notes.The necessary verified evidence of evidence, could be as the basis for assert the fact."
Existing case evidence intelligently examines that product when carrying out evidence association, is generally required and is manually associated, pass through
The result of artificial judges that evidence relevance and evidence are guided.For example, party mentions in vehicle traffic accident responsibility dispute
The evidences such as identification papers of traffic accident, the inpatient cases of friendship are specifically used for proving traffic accident process or party's damaged condition,
All it then could need to specifically assert which evidence does not have relevance, or which evidence lacked by manually carrying out examination identification.This
1. kind mode, which has the following deficiencies:, excessively relies on artificial judgment, intelligence degree is relatively low；2. in merit complexity, evidence is more
When, working efficiency is not high；3. artificial judgment has limitation in itself, in the indefinite situation of legal provisions, manually sentence
Disconnected standard is excessively subjective, and the examination result of mistake is easily caused to occur.
In addition, traditional evidence intelligently examines that examination center is more placed in single evidence verification by product, focus on from
Evidence form, examination of the source evidence certificate dint, and result is pushed with this and is referred to for judge.For example, vehicle traffic accident responsibility
In dispute, for the expert opinion that party submits, evidence intelligently examines that product can be from surveyor, appraisal organization qualification etc.
Judge the authenticity legitimacy of expert opinion.This mode has the following deficiencies: and 1. only examines in terms of evidence form and source
The breadth and depth of single evidence, examination cannot fully meet user demand；2. ignoring interdependence between evidence and the fact
Relationship, it is difficult to help user's quick lock in evidence and true central issue；Party's cross-examination opinion is mentioned 3. ignoring
It takes, is unable to satisfy the needs that judge obtains party's opinion immediately in court trial process.
Summary of the invention
For this purpose, the embodiment of the present invention provides a kind of case evidence intelligence checking method and system, to solve existing case
Evidence intelligently examines that manual operation heavy workload existing for product, judge's working efficiency is low, is unable to satisfy more users demand
Problem.
To achieve the goals above, the embodiment of the present invention provides the following technical solutions:
According to a first aspect of the embodiments of the present invention, a kind of case evidence intelligence checking method, the method packet are proposed
It includes:
It scans and identifies the case evidence in case folder；
Building case includes multiple true nodes in the fact structural model by true structural model；
It obtains the common evidence for proving the true node and establishes correlation model with the true node；
Establish Evidence testing judgment models；
The case evidence is compared with the common evidence of acquisition, according to comparison result and common evidence with
The correlation model of true node determines the Concrete facts that the case evidence proves；
The Concrete facts proved according to the case evidence and the Evidence testing judgment models, obtain the case
Evidence testing result.
It further, include that case occurs, case is passed through and lawsuit is related in the true structural model
Multiple true nodes.
Further, the Evidence testing judgment models include that cross-examination opinion states interpretation model, fact to be proved judges mould
Type and Evidence testing logical model.
Further, the method also includes:
Identify the cross-examination opinion of party；
Interpretation model is stated according to the cross-examination opinion, determines the cross-examination examination result of party.
Further, the method also includes:
According to the fact to be proved judgment models, the range of fact to be proved is determined.
Further, the Evidence testing logical model include model judgement data source, the condition of model running and
The conclusion of model judgement.
Further, the Evidence testing result of the case includes flaw evidence, illegal evidence, unrelated evidence, omits card
According to, contradiction evidence, evidence without demur and other objection classification of evidence examination results.
It is further, described to scan and identify the case evidence in case folder, comprising:
Using OCR technique, canonical matching, participle and natural language processing technique to the case evidence in case folder into
Row is scanned and is identified.
It is further, described to establish Evidence testing judgment models, comprising:
According to the form of evidence, source, appearance, formed ground, acquisition modes, submit main body, submission time, collection main body,
Proof mode and original part reason is not submitted to carry out comprehensive and multi-angle single Evidence testing.
According to a second aspect of the embodiments of the present invention, a kind of case evidence intelligence auditing system, the system packet are proposed
It includes:
Evidences collection module, for scanning and identifying the case evidence in case folder；
True structural model constructs module, for constructing case by true structural model, includes in the fact structural model
Multiple fact nodes；
Relating module proves the common evidence of the true node and establishes with the true node to be associated with mould for obtaining
Type；
Rule establishes module, for establishing Evidence testing judgment models；
Evidence comparison module, for the case evidence to be compared with the common evidence of acquisition, according to comparison
As a result and the correlation model of common evidence and true node, the Concrete facts that the case evidence proves are determined；
As a result module is obtained, the Concrete facts and the Evidence testing for proving according to the case evidence judge mould
Type obtains the Evidence testing result of the case.
The embodiment of the present invention has the advantages that
(1) for the problem that the comprehensive examination of evidence, judge can be assisted to determine various levels and loophole, carried out related
Prompt and recommendation, judge can satisfy the greater demand of user.
(2) pass through folder scanning analysis, true configuration model and various relationships, rule and other data preparation
Previous work can greatly improve automatic degree of the invention, reduce manually-operated workload, really realize to evidence
" intelligence " examines, improves the working efficiency of judge.
(3) inspection result of the invention is the achievement of the analysis and summary from a large amount of cases, can help judge's positive evidence
Standard widens evidence and assert that thinking, the uniformity of standard can also effectively reduce the generation of misjudged case.
Detailed description of the invention
It, below will be to embodiment party in order to illustrate more clearly of embodiments of the present invention or technical solution in the prior art
Formula or attached drawing needed to be used in the description of the prior art are briefly described.It should be evident that the accompanying drawings in the following description is only
It is merely exemplary, it for those of ordinary skill in the art, without creative efforts, can also basis
The attached drawing of offer, which is extended, obtains other implementation attached drawings.
Fig. 1 is a kind of flow diagram for case evidence intelligence checking method that the embodiment of the present invention 1 provides.
Specific embodiment
Embodiments of the present invention are illustrated by particular specific embodiment below, those skilled in the art can be by this explanation
Content disclosed by book is understood other advantages and efficacy of the present invention easily, it is clear that described embodiment is the present invention one
Section Example, instead of all the embodiments.Based on the embodiments of the present invention, those of ordinary skill in the art are not doing
Every other embodiment obtained under the premise of creative work out, shall fall within the protection scope of the present invention.
Embodiment 1
As shown in Figure 1, the present embodiment proposes a kind of case evidence intelligence checking method, this method comprises:
S100, scanning simultaneously identify case evidence in case folder.
Further, it scans and identifies the case evidence in case folder, comprising: using OCR technique, canonical matching, divide
The technologies such as word and natural language processing are scanned and identify to the case evidence in case folder.It can use above-mentioned technology
The documents such as indictment, billof defence, the cross-examination opinion submitted to party and evidence are scanned and analyze, and therefrom extract and are used for
Judge the Related Cases element information and evident information of legal evidence, reasonability, relevance, and the data for carrying out related information are torn open
Divide, integrate and recombinate, to derive the element information that can not be directly acquired.
After evidence scanning is completed, image comparison technology can be used, the evidence submitted for party is compared comprehensively
It is right, using the completely the same evidence of wherein format, content as evidence is repeated, is prompted to user and exclude to judge it in other function
Outside.
S200, building case include multiple true nodes by true structural model, in true structural model.
Using big data analysis technology, by searching for legal material, Combining law book is adjudicated with reference to the practice of law court,
The characteristics of comprehensive each case is by (charge), formation case is by true structural model exclusive under (charge), fixed.
It further, include that case occurs, case is passed through and lawsuit is relevant more in true structural model
A fact node.
Specifically, distinguishing true element and result element in true structural model, the content of true element is mainly case
Relevant information, as a result the content of element is divided into two parts, and a part belongs to this case due processing result, another part under and is
The fact that will lead to each processing result factor combination.Illustratively, true structural model established at present includes that motor vehicle is handed over
The fact that multiple cause of civil lawsuit such as logical accident responsibility dispute, divorce dispute, house-leasing contract dispute structural model and traffic
Cause trouble guilty criminal charge fact structural model.
By taking vehicle traffic accident responsibility dispute as an example, the fact it is established in structural model, true element structure group
Include following traffic accident situation in: lease motor vehicle borrows motor vehicle, transfers the possession of motor vehicle but do not handle registration, Mai Fangbao
Stay the vehicle of purchase by stages of ownership, unlicensed motor vehicles, drive other people motor vehicles without permission, driving school student drives to cause traffic
Accident, motor vehicle examination multiply during occur traffic accident cause examination multiply people damage, employee traffic accident occurs in employing activity
Cause people damage, employee occurs in employing activity traffic thing by damage to person, robbery of motor vehicle, because road management maintenance defect
Cause motor vehicle occur traffic accident, must not enter highway vehicle enter highway occur traffic accident cause itself
Damage, pedestrian enter highway occur traffic accident cause itself damage, there are send out in product defects, friendship activity for motor vehicle
Traffic accident, which occurs, for raw traffic accident, tourism process, special vehicle carries out an urgent task occurs traffic accident, contractor completes work
Traffic accident etc. occurs in work.
It is refined as multiple true nodes under every kind of accident situation as the case may be again, for example in lease motor vehicle or borrows
It under motor vehicle situation, can distinguish are as follows: motor vehicle owner knows or should appreciate that motor vehicle existing defects and the defect is
One of traffic accident occurrence cause, motor vehicle owner know or should appreciate that driver is all without driving qualification, motor vehicle
People knows or should appreciate that driver takes the psychotropic substances of national regulatory, motor vehicle owner knows or should appreciate that and drives
It sails people and knows or should appreciate that driver with the disease for interfering safe driving motor vehicle using narcotics, motor vehicle owner
Disease, motor vehicle owner know or should appreciate that driver do not obtain it is corresponding drive qualification, motor vehicle owner knows or
Should appreciate that drive artificial over fatigue influence safe driving, etc..For another example in motor vehicle there are under product defects situation,
Can be distinguished according to defect producing cause are as follows: because the mistake of the producer make motor vehicle existing defects, because the mistake of sellers make it is motor-driven
Vehicle existing defects make motor vehicle existing defects, etc. because of the mistake of the third party.
It is included under the above traffic accident situation in the result element structure composition of vehicle traffic accident responsibility dispute and answers
Some processing results and the fact that lead to processing result factor combination, such as in motor vehicle there are under product defects situation,
There are following processing results: the third party undertakes liability for tort, and (true element includes: to lack because the mistake of the producer has motor vehicle
Fall into), the producer undertakes liability for tort (true element includes: situation one, because of the mistake of the third party makes motor vehicle existing defects, is sold
The person of selling can indicate that the producer and supplier of defect motor vehicle；Situation two makes motor vehicle existing defects because of the mistake of sellers, pin
The person of selling can indicate that the producer and supplier of defect motor vehicle；Situation three finds motor vehicle existing defects, production after there is circulation
Person, sellers adopt remedial measures not in time；Situation four finds motor vehicle existing defects after there is circulation, and remedial measure is ineffective
Damage), sellers undertake liability for tort (true element include: situation one, exist motor vehicle because of the mistake of the producer to lack
It falls into, sellers not can indicate that the producer and supplier of defect motor vehicle；There is motor vehicle because of the mistake of sellers in situation two
Defect, sellers not can indicate that the producer and supplier of defect motor vehicle；There is discovery motor vehicle presence after circulation in situation three
Defect, the producer, sellers adopt remedial measures not in time；Situation four finds motor vehicle existing defects after there is circulation, remedies
It takes effective measures and damages).Occur under traffic accident situation for another example in friendship activity, processing result has: being held with companion is multiplied
Counterindemnity responsibility is carried on a shoulder pole, true element includes: that multiplying companion does not discharge reasonable attention task together, does not discharge reasonable attention with companion is multiplied
There are suitable causalities with traffic accident Factual Damage for task.For another example in the case where traffic accident situation occurs for tourism process, place
Reason result has: tourism society undertakes corresponding responsibility, and true element includes: that travel agency does not discharge security obligation.Etc..
S300, it obtains the common evidence for proving true node and establishes correlation model with true node.
With big data analysis technology, collected and arranged by large batch of case data, therefrom integrate, analyze case by
Under common evidence title, content of evidence or prove purpose, by the evidence title analyzed, prove content and prove purpose, press
The fact that prove according to its correspondence, is associated construction with the true element in above-mentioned the fact that establish structural model and is associated with mould
Type.
S400, Evidence testing judgment models are established.
Further, Evidence testing judgment models include cross-examination opinion statement interpretation model, fact to be proved judgment models with
And Evidence testing logical model.
Cross-examination opinion states judgment rule: by the analysis to cross-examination opinion, billof defence in a large amount of practice data, extracting
Defendant submits the opinion of evidence to plaintiff out, according to opinion type summary for flaw evidence, illegal evidence, unrelated evidence, something lost
The common statement for leaking evidence, contradiction evidence, evidence without demur and other objection evidences totally seven class examination results, according to what is summarized
Statement establishes corresponding statement judgment rule to seven class examination results.
Further, method further include:
Identify the cross-examination opinion of party；
Interpretation model is stated according to cross-examination opinion, determines the cross-examination examination result of party.
Fact to be proved judgment models: by the analysis to evidence in high-volume case and the fact, in conjunction with right in Jurisprudence
In evidence and true mutual verifying relationship and law for the relevant regulations of evidence identification, the range of fact to be proved is obtained
And judgment method, and the judgment rule of fact to be proved is established accordingly.
Further, method further include:
According to fact to be proved judgment models, the range of fact to be proved is determined.
Evidence testing logical model: after the data preparation and part rule for carrying out early period are established, to the whole of Evidence testing
Body decision logic establishes judgment rule.Further, Evidence testing logical model includes the data source of model judgement, model fortune
Capable condition and the conclusion of model judgement.
In vehicle traffic accident responsibility dispute, Evidence testing logical model content example is as follows:
1, rule description: by being vehicle traffic accident responsibility dispute, current evidence is entitled judicial to be reflected current case case
Determine position paper, there is no its corresponding judicial expertise licensing in current case folder；
Examination result: the judicial expertise position paper that current case plaintiff ××/defendant's ×× submission/judicial investigation is collected
For flaw evidence, lack its corresponding judicial expertise licensing.
2, rule description: by being vehicle traffic accident responsibility dispute, current evidence is entitled judicial to be reflected current case case
Determine position paper, there is no its corresponding judicial expertise people operation card in current case folder；
Examination result: the judicial expertise position paper that current case plaintiff ××/defendant's ×× submission/judicial investigation is collected
For flaw evidence, lack its corresponding judicial expertise people operation card.
3, rule description: by being vehicle traffic accident responsibility dispute, current evidence is entitled judicial to be reflected current case case
Determine position paper, there is no its corresponding identification organ qualification certification certificate in current case folder；
Examination result: the judicial expertise position paper that current case plaintiff ××/defendant's ×× submission/judicial investigation is collected
For flaw evidence, lack its corresponding identification organ qualification certification certificate.
4, rule description: current case case is by being vehicle traffic accident responsibility dispute, the current entitled insurance public affairs of evidence
Estimate Co., Ltd's public affairs and estimate report, there is no its corresponding insurance loss assessment Co., Ltd operation license in current case folder；
Examination result: the limited public affairs of insurance loss assessment that current case plaintiff ××/defendant's ×× submission/judicial investigation is collected
Department's public affairs, which are estimated, is reported as flaw evidence, lacks its corresponding insurance loss assessment Co., Ltd operation license.
Further, described to establish Evidence testing judgment models, comprising: according to the form of evidence, source, appearance, formation
Ground, acquisition modes, submit main body, submission time, collect main body, proof mode and do not submit original part reason carry out it is comprehensive and
The single Evidence testing of multi-angle.
In checking process, form and source in addition to evidence, the present embodiment is also from the appearance of evidence, formation ground, acquisition
Mode, submit main body, submission time, collect main body, proof mode, do not submit many aspects such as original part reason to single evidence into
Comprehensive, multi-angle the examination of row, and the examination result of comprehensive many aspects provides evidence processing mode suggestion for user.
S500, case evidence is compared with the common evidence of acquisition, according to comparison result and common evidence and thing
The correlation model of physical node determines the Concrete facts that case evidence proves.
S600, the Concrete facts proved according to case evidence and Evidence testing judgment models, the evidence for obtaining case are examined
Come to an end fruit.
Further, the Evidence testing result of case includes flaw evidence, illegal evidence, unrelated evidence, omits evidence, lance
Shield evidence, evidence without demur and other objection classification of evidence examination results.
Specific Evidence testing realizes that process logic is as follows:
For unrelated Evidence testing: judge current ×× evidence whether the card corresponding to all facts to be proved of current case
According to name scope, if not existing, current ×× evidence is unrelated evidence；
For omitting Evidence testing: judging that whether ×× evidence is current corresponding to the ×× fact to be proved of current case
Within the scope of all evidence materials of case folder, if not existing, ×× fact to be proved there are evidence omission, omit evidence be ×
× evidence；
For contradiction Evidence testing: ×× fact to be proved the evidence of relevant Same Latitude common information point ×× it
Between whether there is contradiction, and if it exists, then evidence associated by current case ×× fact to be proved is there are contradiction, contradictory information is ×
×；
For flaw Evidence testing: whether the source of ×× evidence or the evidence form of expression associated by ×× fact to be proved
Defective or doubtful point, and if it exists, then there are flaws for ×× evidence associated by current case ×× fact to be proved；
Illegal evidence is examined: whether ×× evidence associated by ×× fact to be proved belongs to prohibitive rule contrary to law
Surely evidence that other people legitimate rights and interests of the evidence that obtains, serious infringement obtain, the evidence for seriously violating public order and good custom acquisition or forgery
Evidence, if belonged to, ×× evidence associated by current case ×× fact to be proved is illegal evidence；
For evidence and the Evidence testing without demur of having objection: being demonstrate,proved according to party ×× associated by ×× fact to be proved
According to cross-examination opinion whether be without demur, if it is, ×× evidence associated by current case ×× fact to be proved is nothing
Objection evidence；If it is not, and cross-examination opinion corresponding to the evidence is not illegal evidence, flaw evidence, unrelated evidence, contradiction card
According to equal cross-examinations opinion, then ×× evidence associated by current ×× fact to be proved is the evidence that has objection.
It is completed in factor analysis, and after having established judgment rule, program goes parsing evidence to examine according to the data source of acquisition
The rule configuration looked into obtains flaw evidence by algorithm, illegal evidence, unrelated evidence, omits evidence, contradiction evidence, without demur
Evidence and other objection evidences totally seven class examination result, to realize the intelligent decision of Evidence testing.
A kind of case evidence intelligence checking method that the present embodiment proposes, has implemented the following contents by this method:
(1) comprehensive, multi-angle carries out single evidence verification
Form and source in addition to evidence, the present embodiment also from the appearance of evidence, formed ground, acquisition modes, submission main body,
Submission time, collect main body, proof mode, do not submit many aspects such as the reason of original part to single evidence carried out it is comprehensive,
The examination of multi-angle, and the examination result of comprehensive many aspects provides evidence processing mode suggestion for user.
(2) evidence and true intelligent association
The present embodiment is summarized by the analytical integration of a large amount of legal provisions and the theory of various legal literature
Each case passes through careful, comprehensive, the complete true structural model of processing result from case generation, merit under out, then leads to
It crosses big data analysis and show that each case by being commonly used for proving the category of evidence of the node under, each true node, and is closed therewith
Connection.
For the evidence that party submits, by being compared with the evidence collected, and the fact that construction node with
The correlation model of evidence can obtain its Concrete facts proved.
(3) intellectual analysis party cross-examination opinion
The present embodiment can be to oral to party in the papery cross-examination opinion and court trial process that party before court's trial submits
The cross-examination opinion of statement identified, can analyze party for the opinion and view of evidence by the judgment rule of setting,
And it arranges and is referred to for judge.
A kind of case evidence intelligence checking method that the present embodiment proposes can be assisted for the comprehensive examination of evidence
Judge determines the problem of various levels and loophole, carries out related prompt and recommends, judge can satisfy the greater demand of user；It is logical
The previous work of folder scanning analysis, true configuration model and various relationships, rule and other data preparation is crossed, it can be with
Automatic degree of the invention is greatly improved, manually-operated workload is reduced, really realizes and " intelligence " of evidence is examined, improve
The working efficiency of judge；Inspection result of the invention is the achievement of the analysis and summary from a large amount of cases, and judge can be helped clear
Proof standard widens evidence and assert that thinking, the uniformity of standard can also effectively reduce the generation of misjudged case.
Embodiment 2
Corresponding with above-described embodiment 1, the present embodiment proposes a kind of case evidence intelligence auditing system, the system packet
It includes:
Evidences collection module, for scanning and identifying the case evidence in case folder；
True structural model constructs module, includes multiple in true structural model for constructing case by true structural model
True node；
Relating module, for obtaining the common evidence of the true node of proof and establishing correlation model with true node；
Rule establishes module, for establishing Evidence testing judgment models；
Evidence comparison module, for case evidence to be compared with the common evidence of acquisition, according to comparison result and
The correlation model of common evidence and true node determines the Concrete facts that case evidence proves；
As a result module is obtained, Concrete facts and Evidence testing judgment models for proving according to case evidence obtain
The Evidence testing result of case.
Function performed by each component is above-mentioned in a kind of case evidence intelligence auditing system provided in this embodiment
It is discussed in detail in embodiment 1, therefore does not do excessively repeat here.
Although above having used general explanation and specific embodiment, the present invention is described in detail, at this
On the basis of invention, it can be made some modifications or improvements, this will be apparent to those skilled in the art.Therefore,
These modifications or improvements without departing from theon the basis of the spirit of the present invention are fallen within the scope of the claimed invention.
Claims (10)
1. a kind of case evidence intelligence checking method, which is characterized in that the described method includes:
It scans and identifies the case evidence in case folder；
Building case includes multiple true nodes in the fact structural model by true structural model；
It obtains the common evidence for proving the true node and establishes correlation model with the true node；
Establish Evidence testing judgment models；
The case evidence is compared with the common evidence of acquisition, according to comparison result and common evidence and the fact
The correlation model of node determines the Concrete facts that the case evidence proves；
The Concrete facts proved according to the case evidence and the Evidence testing judgment models, obtain the evidence of the case
Examination result.
2. a kind of case evidence intelligence checking method according to claim 1, which is characterized in that the fact structural model
In include that case occurs, case is passed through and the relevant multiple true nodes of lawsuit.
3. a kind of case evidence intelligence checking method according to claim 1, which is characterized in that the Evidence testing judgement
Model includes cross-examination opinion statement interpretation model, fact to be proved judgment models and Evidence testing logical model.
4. a kind of case evidence intelligence checking method according to claim 3, which is characterized in that the method also includes:
Identify the cross-examination opinion of party；
Interpretation model is stated according to the cross-examination opinion, determines the cross-examination examination result of party.
5. a kind of case evidence intelligence checking method according to claim 3, which is characterized in that the method also includes:
According to the fact to be proved judgment models, the range of fact to be proved is determined.
6. a kind of case evidence intelligence checking method according to claim 3, which is characterized in that the Evidence testing logic
Model includes the conclusion of data source, the condition of model running and the model judgement of model judgement.
7. a kind of case evidence intelligence checking method according to claim 1, which is characterized in that the evidence of the case is examined
The fruit that comes to an end includes flaw evidence, illegal evidence, unrelated evidence, omits evidence, contradiction evidence, evidence without demur and other objections card
According to classification examination result.
8. a kind of case evidence intelligence checking method according to claim 1, which is characterized in that the scanning simultaneously identifies case
Case evidence in part folder, comprising:
The case evidence in case folder is swept using OCR technique, canonical matching, participle and natural language processing technique
It retouches and identifies.
9. a kind of case evidence intelligence checking method according to claim 1, which is characterized in that described to establish Evidence testing
Judgment models, comprising:
According to the form of evidence, source, appearance, form ground, acquisition modes, submission main body, submission time, collection main body, proof
Mode and original part reason is not submitted to carry out comprehensive and multi-angle single Evidence testing.
10. a kind of case evidence intelligence auditing system, which is characterized in that the system comprises:
Evidences collection module, for scanning and identifying the case evidence in case folder；
True structural model constructs module, includes multiple in the fact structural model for constructing case by true structural model
True node；
Relating module, for obtaining the common evidence of the proof true node and establishing correlation model with the true node；
Rule establishes module, for establishing Evidence testing judgment models；
Evidence comparison module, for the case evidence to be compared with the common evidence of acquisition, according to comparison result
And the correlation model of common evidence and true node, determine the Concrete facts that the case evidence proves；
As a result module is obtained, Concrete facts and the Evidence testing judgment models for being proved according to the case evidence,
Obtain the Evidence testing result of the case.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910523597.0A CN110222669A (en) | 2019-06-17 | 2019-06-17 | A kind of case evidence intelligence checking method and system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910523597.0A CN110222669A (en) | 2019-06-17 | 2019-06-17 | A kind of case evidence intelligence checking method and system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN110222669A true CN110222669A (en) | 2019-09-10 |
Family
ID=67817579
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910523597.0A Pending CN110222669A (en) | 2019-06-17 | 2019-06-17 | A kind of case evidence intelligence checking method and system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110222669A (en) |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111597307A (en) * | 2020-05-18 | 2020-08-28 | 山西大学 | Judicial judgment reasoning method based on interpretable causal model |
| CN112434138A (en) * | 2021-01-28 | 2021-03-02 | 北京睿企信息科技有限公司 | Syndrome contradiction extraction method and system based on key comparison |
| CN112581324A (en) * | 2019-09-30 | 2021-03-30 | 北京国双科技有限公司 | Case handling assisting method, device, equipment and storage medium |
| CN112861757A (en) * | 2021-02-23 | 2021-05-28 | 天津汇智星源信息技术有限公司 | Intelligent record auditing method based on text semantic understanding and electronic equipment |
| US11995733B2 (en) | 2021-09-17 | 2024-05-28 | Motorola Solutions, Inc. | Method and system for linking unsolicited electronic tips to public-safety data |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106650799A (en) * | 2016-12-08 | 2017-05-10 | 重庆邮电大学 | Electronic evidence classification extraction method and system |
| CN107358550A (en) * | 2017-06-08 | 2017-11-17 | 上海市高级人民法院 | Criminal case intelligence evidence method of calibration, checking method and there is its storage medium and terminal device |
| CN107358558A (en) * | 2017-06-08 | 2017-11-17 | 上海市高级人民法院 | Criminal case intelligently handle a case method by auxiliary, system and has its storage medium and terminal device |
| CN108182248A (en) * | 2017-12-28 | 2018-06-19 | 贵州小爱机器人科技有限公司 | Information processing method and information processing unit |
| CN108763485A (en) * | 2018-05-25 | 2018-11-06 | 南京大学 | A kind of chain of evidence relational model construction method of the judgement document based on text similarity |
| CN109409625A (en) * | 2018-08-16 | 2019-03-01 | 上海绿狮智能信息科技股份有限公司 | The method that a kind of pair of legal affairs carries out quantitative evaluation |
-
2019
- 2019-06-17 CN CN201910523597.0A patent/CN110222669A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106650799A (en) * | 2016-12-08 | 2017-05-10 | 重庆邮电大学 | Electronic evidence classification extraction method and system |
| CN107358550A (en) * | 2017-06-08 | 2017-11-17 | 上海市高级人民法院 | Criminal case intelligence evidence method of calibration, checking method and there is its storage medium and terminal device |
| CN107358558A (en) * | 2017-06-08 | 2017-11-17 | 上海市高级人民法院 | Criminal case intelligently handle a case method by auxiliary, system and has its storage medium and terminal device |
| CN108182248A (en) * | 2017-12-28 | 2018-06-19 | 贵州小爱机器人科技有限公司 | Information processing method and information processing unit |
| CN108763485A (en) * | 2018-05-25 | 2018-11-06 | 南京大学 | A kind of chain of evidence relational model construction method of the judgement document based on text similarity |
| CN109409625A (en) * | 2018-08-16 | 2019-03-01 | 上海绿狮智能信息科技股份有限公司 | The method that a kind of pair of legal affairs carries out quantitative evaluation |
Non-Patent Citations (1)
| Title |
|---|
| 崔亚东: "《人工智能与司法现代化》", 31 March 2019, 上海人民出版社 * |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112581324A (en) * | 2019-09-30 | 2021-03-30 | 北京国双科技有限公司 | Case handling assisting method, device, equipment and storage medium |
| CN111597307A (en) * | 2020-05-18 | 2020-08-28 | 山西大学 | Judicial judgment reasoning method based on interpretable causal model |
| CN112434138A (en) * | 2021-01-28 | 2021-03-02 | 北京睿企信息科技有限公司 | Syndrome contradiction extraction method and system based on key comparison |
| CN112861757A (en) * | 2021-02-23 | 2021-05-28 | 天津汇智星源信息技术有限公司 | Intelligent record auditing method based on text semantic understanding and electronic equipment |
| CN112861757B (en) * | 2021-02-23 | 2022-11-22 | 天津汇智星源信息技术有限公司 | Intelligent record auditing method based on text semantic understanding and electronic equipment |
| US11995733B2 (en) | 2021-09-17 | 2024-05-28 | Motorola Solutions, Inc. | Method and system for linking unsolicited electronic tips to public-safety data |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110222669A (en) | A kind of case evidence intelligence checking method and system | |
| Amankwaa et al. | The effectiveness of the UK national DNA database | |
| CN107358558B (en) | Intelligent auxiliary criminal case handling method and system, storage medium with intelligent auxiliary criminal case handling system and terminal device with intelligent auxiliary criminal case handling system | |
| Faigman et al. | Group to individual (G2i) inference in scientific expert testimony | |
| Garrett et al. | The proficiency of experts | |
| Langenburg et al. | Informing the judgments of fingerprint analysts using quality metric and statistical assessment tools | |
| Ulery et al. | Understanding the sufficiency of information for latent fingerprint value determinations | |
| Giannelli | The Supreme Court's Criminal Daubert Cases | |
| Cole | Where the rubber meets the road: Thinking about expert evidence as expert testimony | |
| Rai | Allocating Power over Fact-Finding in the Patent System | |
| Edmond et al. | Conjectures and exhumations: citations of history, philosophy and sociology of science in US federal courts | |
| Edmond et al. | Expert reports and the forensic sciences. | |
| Thompson | Daubert gatekeeping for eyewitness identifications | |
| Giannelli | Expert Testimony and the Confrontation Clause | |
| Coglianese et al. | From negative to positive algorithm rights | |
| Lave et al. | The problem with assumptions: Revisiting “The dark figure of sexual recidivism” | |
| Boddington et al. | Validating digital evidence for legal argument | |
| La Morte | Sleeping gatekeepers: United States v. Llera Plaza and the unreliability of forensic fingerprinting evidence under Daubert | |
| Moreno | Eyes Wide Shut: Hidden Problems and Future Consequences of the Fact-Based Validity Standard | |
| Flores et al. | Examining the Effects of the Daubert Trilogy on Expert Evidence Practices in Federal Civil Court: An Empirical Analysis | |
| Kaye | The Relevance of Matching DNA: Is the Window Half Open Or Half Shut | |
| Solensten et al. | Drug recognition experts in trials: perspectives from criminal justice system actors | |
| Friedman et al. | It is now up to the courts: forensic science in criminal courts: ensuring scientific validity of feature-comparison methods | |
| Liu | Legal guidelines for identifying online illegal fund-raising crimes in China | |
| Miller et al. | The expert as educator. |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20190910 |
|
| RJ01 | Rejection of invention patent application after publication |