CN109614467A - A kind of knowledge connection based on segment-similarity and dynamic organization's method and system - Google Patents
A kind of knowledge connection based on segment-similarity and dynamic organization's method and system Download PDFInfo
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Abstract
The embodiment of the present application provides a kind of knowledge connection based on segment-similarity and dynamic organization's method and system, wherein the step of this method includes: the partial structured segment for obtaining structural knowledge, is filled in based on application scenarios to the segment；Keyword is segmented and obtained to structuring segment based on specialized dictionary, using crucial Word similarity, determines knowledge information associated with the structuring segment filled in；Based on the associated knowledge information, static knowledge classification system is traversed, generates and checks the dynamic link with the matched knowledge information of application scenarios for user.Herein described technical solution carries out efficient association by carrying out similarity calculation to the knowledge segment of offer, to the comprehensive stronger knowledge for being difficult simply to be sorted out, and realizes the effective integration of dynamic knowledge tissue and static knowledge classification system.
Description
Technical field
This application involves big data technical field, in particular to a kind of knowledge connection and dynamic group based on segment-similarity
Organization method and system.
Background technique
For complex product development, knowledge enumerates document (such as report, text for developing total system, Life cycle
Offer, standard), the contents of model and data etc..Usual knowledge is point library to be managed, including file store (such as achievement library,
Document databse, java standard library), model library, database etc..In order to will develop it is that each level of total system, Life cycle each stage generate,
The effective management and use of the knowledge being distributed in each library are usually divided according to product form, professional composition, stage/baseline etc.
Class easily can carry out tissue to the knowledge in each library according to classification, search.As product data management (PDM) system is usual
Can establish corresponding tree-shaped administration view according to product form, and according to stage (being divided into design, technique, manufacture etc.) and baseline into
Row effectively management.
But for some comprehensive stronger knowledge, such as product quality, the relevant report of maintenance, case, be difficult by
It is simply sorted out, thus is difficult efficiently to be organized and searched, while being also difficult itself and static knowledge classified body
The lower knowledge connection that can clearly sort out of system.By taking product quality as an example, the Quality Analysis Report of complex product would generally be simultaneously
Including multiple product forms level involved in quality phenomenon, multiple professions can be related to, can be also related to more in development process
A stage.It is difficult for Quality Analysis Report to be included into certain one kind, and recommends or find the quality analysis of similar problems under the category
Report, and then have access to relevant design report, design a model, calculate analysis/reality (examination) and test data etc..
Usual this kind of knowledge can add the mark of keyword, and can be searched with keyword search.But this side
Formula is the problem is that the selection of keyword is frequently not very comprehensively；The keyword and contribution that the person for searching knowledge simultaneously takes are known
The keyword of people's setting of knowledge is often inconsistent.If can not find maximally related knowledge, it is also difficult to from the knowledge, find it
The exact natures such as product type, referred to have access to relevant document further progress by static knowledge classification system.
Summary of the invention
One of in order to solve the above problem, this application provides a kind of knowledge connection based on segment-similarity and dynamic organizations
Method and system.
According to the first aspect of the embodiment of the present application, a kind of knowledge connection based on segment-similarity and dynamic are provided
The step of method for organizing, this method includes:
The partial structured segment for obtaining structural knowledge, fills in the segment based on application scenarios；
Keyword is segmented and obtained to structuring segment based on specialized dictionary, using crucial Word similarity, determine with
The associated knowledge information of structuring segment filled in；
Based on the associated knowledge information, static knowledge classification system is traversed, is generated and is checked and apply for user
The dynamic link of the knowledge information of scene matching.
Preferably, the partial structured segment for obtaining structural knowledge, and the step of segment is filled in packet
It includes:
The application scenarios of knowledge based information, the determining structured stencil to match with the knowledge information；
Under the structured stencil, the structuring segment that the situation under the scene is described is chosen；
Based on application scenarios, the structuring segment is filled in.
Preferably, described to traverse pre-stored Knowledge information library, based on crucial Word similarity, the segment for determining and having filled in
The step of associated knowledge information includes:
Structuring segment is segmented based on specialized dictionary, determines the keyword in whole section of content of structuring segment；
Keyword and its semantic related keyword are retrieved, determination is relevant other to the structuring segment filled in
The frequency that keyword occurs in knowledge information；
Based on the frequency that keyword occurs, relevant knowledge information is determined, and the sequence of similarity is carried out to it.
Preferably, the frequency occurred based on keyword, determines relevant knowledge information, and the row of similarity is carried out to it
The step of sequence includes: that the frequency occurred to key is weighted summation, and acquisition is according to sequencing of similarity and the structure filled in
Change the associated knowledge information of segment.
Preferably, described to be based on the associated knowledge information, relevant knowledge is carried out in static knowledge classification system
The lookup of information, generating the step of checking the dynamic link of knowledge information for user includes:
According to certain of selection associated knowledge information, static knowledge classification system is traversed, is determined and where display
The position of static knowledge classification system；
Since the position, into the navigating lists of static knowledge classification system, checks and relevant to the knowledge information know
Know information.
According to the second aspect of the embodiment of the present application, a kind of knowledge connection based on segment-similarity and dynamic are provided
Organization system, the system include:
Module is obtained, the partial structured segment of structural knowledge is obtained, the segment is filled in based on application scenarios；
Relating module is segmented to structuring segment based on specialized dictionary and is obtained keyword, similar using keyword
Degree determines knowledge information associated with the structuring segment filled in；
Generation module is based on the associated knowledge information, traverses static knowledge classification system, and generation is looked into for user
See the dynamic link with the matched knowledge information of application scenarios.
Preferably, the acquisition module specifically executes following steps:
The application scenarios of knowledge based information, the determining structured stencil to match with the knowledge information；
Under the structured stencil, the structuring segment that the situation under the scene is described is chosen；
Based on application scenarios, the structuring segment is filled in.
Preferably, the relating module specifically executes following steps:
Structuring segment is segmented based on specialized dictionary, determines the keyword in whole section of content of structuring segment；
Keyword and its semantic related keyword are retrieved, determination is relevant other to the structuring segment filled in
The frequency that keyword occurs in knowledge information；
The frequency occurred to key is weighted summation, and acquisition is according to sequencing of similarity and the structuring segment filled in
Associated knowledge information.
Preferably, the generation module specifically executes following steps:
According to certain of selection associated knowledge information, static knowledge classification system is traversed, is determined and where display
The position of static knowledge classification system；
Since the position, into the navigating lists of static knowledge classification system, checks and relevant to the knowledge information know
Know information.
Preferably, the static classification system includes: design report, designs a model, calculates analysis/reality (examination) and test data point
Class system it is one or more.
Herein described technical solution is by carrying out similarity calculation to the knowledge segment of offer, to being difficult simply to be returned
The comprehensive stronger knowledge of class carries out efficient association, realizes that dynamic knowledge tissue melts with the effective of static knowledge classification system
It closes.
Herein described technical solution can fast and easy find product quality, the relevant similar report of maintenance, case
Etc. knowledge, then the relevant design report of the knowledge further had access to by traditional static classification system, designs a model, calculate point
Data etc. are tested in analysis/reality (examination), are helped to avoid the generation of similar problems or are used for reference existing processing method, for being related to complexity
The complex product development of product form, profession composition and stage composition has great importance.
Detailed description of the invention
The drawings described herein are used to provide a further understanding of the present application, constitutes part of this application, this Shen
Illustrative embodiments and their description please are not constituted an undue limitation on the present application for explaining the application.In the accompanying drawings:
Fig. 1 shows the schematic diagram of herein described knowledge connection Yu dynamic organization's method.
Specific embodiment
In order to which technical solution in the embodiment of the present application and advantage is more clearly understood, below in conjunction with attached drawing to the application
Exemplary embodiment be described in more detail, it is clear that described embodiment be only the application a part implement
Example, rather than the exhaustion of all embodiments.It should be noted that in the absence of conflict, embodiment and reality in the application
The feature applied in example can be combined with each other.
The core ideas of this programme is by carrying out similarity calculation to the knowledge segment of offer, to being difficult simply to be returned
The comprehensive stronger knowledge of class carries out efficient association, realizes that dynamic knowledge tissue melts with the effective of static knowledge classification system
It closes, to solve the association and knowledge of comprehensive stronger knowledge (such as product quality, the relevant report of maintenance, case)
The effective integration problem of tissue and static knowledge classification system.
Embodiment 1
As shown in Figure 1, this example discloses a kind of knowledge connection based on segment-similarity and dynamic organization's method, the party
The step of method includes:
Step 1, the partial structured segment for obtaining structural knowledge, fill in the segment based on application scenarios.It should
In step, firstly, the application scenarios of knowledge based information, the determining structured stencil to match with the knowledge information；Then, exist
Under the structured stencil, the structuring segment that the situation under the scene is described is chosen；Finally, application scenarios are based on,
The structuring segment is filled in.
Step 2 is segmented to structuring segment based on specialized dictionary and is obtained keyword, using crucial Word similarity,
Determine knowledge information associated with the structuring segment filled in.In the step, firstly, based on specialized dictionary to structuring piece
Duan Jinhang participle, determines the keyword in whole section of content of structuring segment；Then, to keyword and its semantic related keyword into
Row retrieval, determines the frequency that keyword occurs in other knowledge informations relevant to the structuring segment filled in；Finally, being based on
The frequency that keyword occurs, determines relevant knowledge information, and the sequence of similarity is carried out to it.It is described based on pass in this example
The frequency that keyword occurs determines relevant knowledge information, and the step of carrying out the sequence of similarity to it is the frequency occurred to key
It is secondary to be weighted summation, obtain the knowledge information associated with the structuring segment filled according to sequencing of similarity.
Step 3 is based on the associated knowledge information, traverses static knowledge classification system, and generation is checked for user
With the dynamic link of the matched knowledge information of application scenarios.In the step, firstly, being believed according to certain of selection associated knowledge
Breath traverses static knowledge classification system, determines the position of simultaneously static knowledge classification system where display；Then, from the position
Start, into the navigating lists of static knowledge classification system, checks knowledge information relevant to the knowledge information.
Based on above-mentioned steps, application scenarios can be set as to accident analysis scene in this example, utilize accident analysis report
The materials such as announcement choose the structuring segment that the situation under the scene is described as structured stencil；Finally, in failure point
Under the scene of analysis, the structuring segment such as failure-description is filled in.
Herein described technical solution is by carrying out similarity calculation to the knowledge segment of offer, to being difficult simply to be returned
The comprehensive stronger knowledge of class carries out efficient association, realizes that dynamic knowledge tissue melts with the effective of static knowledge classification system
It closes.
Herein described technical solution can fast and easy find product quality, the relevant similar report of maintenance, case
Etc. knowledge, then the relevant design report of the knowledge further had access to by traditional static classification system, designs a model, calculate point
Data etc. are tested in analysis/reality (examination), are helped to avoid the generation of similar problems or are used for reference existing processing method, for being related to complexity
The complex product development of product form, profession composition and stage composition has great importance.
In this example, a kind of knowledge connection based on segment-similarity and dynamic organization's system are further disclosed, this is
System includes:
Module is obtained, the partial structured segment of structural knowledge is obtained, the segment is filled in based on application scenarios.
The acquisition module specifically executes following steps: the application scenarios of knowledge based information, what the determining and knowledge information matched
Structured stencil；Under the structured stencil, the structuring segment that the situation under the scene is described is chosen；Based on answering
With scene, the structuring segment is filled in.
Relating module is segmented to structuring segment based on specialized dictionary and is obtained keyword, similar using keyword
Degree determines knowledge information associated with the structuring segment filled in.The relating module specifically executes following steps: being based on
Specialized dictionary segments structuring segment, determines the keyword in whole section of content of structuring segment；To keyword and its language
Adopted related keyword is retrieved, and determines keyword appearance in other knowledge informations relevant to the structuring segment filled in
The frequency；The frequency occurred to key is weighted summation, and acquisition is according to sequencing of similarity and the structuring segment phase filled in
Associated knowledge information.
Generation module is based on the associated knowledge information, traverses static knowledge classification system, and generation is looked into for user
See the dynamic link with the matched knowledge information of application scenarios.The generation module specifically executes following steps: traversal static state is known
Know classification system, finds the content comprising the associated knowledge information in certain classification；By the content, generation can directly into
Enter the link that the knowledge content of the classification is checked under knowledge background attribute.Wherein, the static classification system includes: design report
It accuses, design a model, calculating analysis/reality (examination) and test the one or more of data.
Embodiment 2
A kind of knowledge connection based on segment-similarity and dynamic organization's method are present embodiments provided, this method can lead to
It crosses electronic equipment and realizes its corresponding function, which includes: memory, one or more processors；Memory and processing
Device is connected by communication bus；Processor is configured as executing the instruction in memory；It is stored with and is used in the storage medium
Execute the instruction of each step in method as described above.This method can also realize the corresponding function of device by computer storage medium
Can, it is stored with computer program on this computer readable storage medium, is realized when which is executed by processor as described above
Each step of method.Specifically, the step of this method, is as follows:
The first step chooses a part of structuring segment of certain type of structured knowledge, fills in the content of the segment.
When needing the scene using certain class knowledge, the structured stencil of such knowledge is provided for the demand；Based on the knot
Structure template chooses the structuring segment that the situation under the scene is described, allows user as far as possible comprehensively to the structure
Change segment to be filled in.The content for the segment that will fill in is submitted, and is calculated.
Second step calculates the similarity for submitting segment contents and such other knowledge, is known according to sequencing of similarity by associated
User is recommended in knowledge.
From the keyword found in specialized dictionary in whole section of content of structuring segment, one by one to each keyword and its semantic phase
It closes keyword to be retrieved, finds the frequency that each keyword occurs in such other knowledge, and carry out weighted sum, obtain similar
Degree sequence, and relevant knowledge is associated, by ranking results knowledge recommendation to user.
Third step user checks the knowledge of recommendation, and is linked into static knowledge classified body according to the background attribute of the knowledge
Other class association knowledges are searched by system
User is set out using the knowledge navigation column provided in electronic equipment or program with the background attribute of the knowledge, clear
It lookes at static knowledge classification system, searches, into other class association knowledges.If in knowledge text including static knowledge classification system
In some classification text, the link of the knowledge of the classification under knowledge background attribute can be directly entered by generating, and clicked and looked into for user
It sees.
This programme by carrying out similarity calculation to the knowledge segment of offer, to be difficult simply to be sorted out it is comprehensive compared with
Strong knowledge carries out efficient association, realizes the effective integration of dynamic knowledge tissue and static knowledge classification system.This programme can
Fast and easy finds the knowledge such as product quality, the relevant similar report of maintenance, case, then passes through traditional static classification system
The relevant design report of the knowledge is further had access to, designed a model, calculated analysis/reality (examination) and test data etc., is helped to avoid similar
Existing processing method is used for reference in the generation of problem, for being related to complicated product form, profession composition and stage composition
Complex product development has great importance.
The application is referring to method, the process of equipment (system) and computer program product according to the embodiment of the present application
Figure and/or block diagram describe.It should be understood that every one stream in flowchart and/or the block diagram can be realized by computer program instructions
The combination of process and/or box in journey and/or box and flowchart and/or the block diagram.It can provide these computer programs
Instruct the processor of general purpose computer, special purpose computer, Embedded Processor or other programmable data processing devices to produce
A raw machine, so that being generated by the instruction that computer or the processor of other programmable data processing devices execute for real
The device for the function of being specified in present one or more flows of the flowchart and/or one or more blocks of the block diagram.
These computer program instructions, which may also be stored in, is able to guide computer or other programmable data processing devices with spy
Determine in the computer-readable memory that mode works, so that it includes referring to that instruction stored in the computer readable memory, which generates,
Enable the manufacture of device, the command device realize in one box of one or more flows of the flowchart and/or block diagram or
The function of being specified in multiple boxes.
These computer program instructions also can be loaded onto a computer or other programmable data processing device, so that counting
Series of operation steps are executed on calculation machine or other programmable devices to generate computer implemented processing, thus in computer or
The instruction executed on other programmable devices is provided for realizing in one or more flows of the flowchart and/or block diagram one
The step of function of being specified in a box or multiple boxes.
The above is only the embodiment of the present invention, are not intended to restrict the invention, all in the spirit and principles in the present invention
Within, any modification, equivalent substitution, improvement and etc. done, be all contained in apply pending scope of the presently claimed invention it
It is interior.
Claims (10)
1. a kind of knowledge connection based on segment-similarity and dynamic organization's method, which is characterized in that the step of this method includes:
The partial structured segment for obtaining structural knowledge, fills in the segment based on application scenarios；
Keyword is segmented and obtained to structuring segment based on specialized dictionary, using crucial Word similarity, determines and fills in
The complete associated knowledge information of structuring segment；
Based on the associated knowledge information, static knowledge classification system is traversed, generation is checked for user and application scenarios
The dynamic link of matched knowledge information.
2. knowledge connection according to claim 1 and dynamic organization's method, which is characterized in that the acquisition structural knowledge
Partial structured segment, the step of being filled in based on application scenarios to the segment includes:
The application scenarios of knowledge based information, the determining structured stencil to match with the knowledge information；
Under the structured stencil, the structuring segment that the situation under the scene is described is chosen；
Based on application scenarios, the structuring segment is filled in.
3. knowledge connection according to claim 2 and dynamic organization's method, which is characterized in that described to be based on specialized dictionary pair
Structuring segment is segmented and is obtained keyword, and using crucial Word similarity, determination is related to the structuring segment filled in
The step of knowledge information of connection includes:
Structuring segment is segmented based on specialized dictionary, determines the keyword in whole section of content of structuring segment；
Keyword and its semantic related keyword are retrieved, determine other knowledge relevant to the structuring segment filled in
The frequency that keyword occurs in information；
Based on the frequency that keyword occurs, relevant knowledge information is determined, and the sequence of similarity is carried out to it.
4. knowledge connection according to claim 3 and dynamic organization's method, which is characterized in that described to be occurred based on keyword
The frequency, determine relevant knowledge information, and the step of sequence of similarity is carried out to it include: the frequency that occurs to keyword into
Row weighted sum obtains the knowledge information associated with the structuring segment filled according to sequencing of similarity.
5. knowledge connection according to claim 3 and dynamic organization's method, which is characterized in that described based on described associated
Knowledge information, traverse static knowledge classification system, generate checked for user it is dynamic with the matched knowledge information of application scenarios
State link the step of include:
According to certain of selection associated knowledge information, static knowledge classification system is traversed, is determined and static where display
The position of knowledge classification system；
Since the position, into the navigating lists of static knowledge classification system, knowledge letter relevant to the knowledge information is checked
Breath.
6. a kind of knowledge connection based on segment-similarity and dynamic organization's system, which is characterized in that the system includes:
Module is obtained, the partial structured segment of structural knowledge is obtained, the segment is filled in based on application scenarios；
Relating module is segmented to structuring segment based on specialized dictionary and is obtained keyword, using crucial Word similarity, really
Fixed knowledge information associated with the structuring segment filled in；
Generation module, be based on the associated knowledge information, traverse static knowledge classification system, generate for user check with
The dynamic link of the matched knowledge information of application scenarios.
7. knowledge connection according to claim 6 and dynamic organization's system, which is characterized in that the acquisition module is specifically held
Row following steps:
The application scenarios of knowledge based information, the determining structured stencil to match with the knowledge information；
Under the structured stencil, the structuring segment that the situation under the scene is described is chosen；
Based on application scenarios, the structuring segment is filled in.
8. knowledge connection according to claim 7 and dynamic organization's system, which is characterized in that the relating module is specifically held
Row following steps:
Structuring segment is segmented based on specialized dictionary, determines the keyword in whole section of content of structuring segment；
Keyword and its semantic related keyword are retrieved, determine other knowledge relevant to the structuring segment filled in
The frequency that keyword occurs in information；
Summation is weighted to the frequency that key occurs, is obtained according to the related to the structuring segment filled in of sequencing of similarity
The knowledge information of connection.
9. knowledge connection according to claim 8 and dynamic organization's system, which is characterized in that the generation module is specifically held
Row following steps:
According to certain of selection associated knowledge information, static knowledge classification system is traversed, is determined and static where display
The position of knowledge classification system；
Since the position, into the navigating lists of static knowledge classification system, knowledge letter relevant to the knowledge information is checked
Breath.
10. knowledge connection according to claim 9 and dynamic organization's system, which is characterized in that the static classification system
Include: design report, design a model, calculate analysis/reality (examination) and test the one or more of data classification system.
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