CN104298784A - Die design implicit knowledge acquiring and searching method - Google Patents
Die design implicit knowledge acquiring and searching method Download PDFInfo
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- CN104298784A CN104298784A CN201410627538.5A CN201410627538A CN104298784A CN 104298784 A CN104298784 A CN 104298784A CN 201410627538 A CN201410627538 A CN 201410627538A CN 104298784 A CN104298784 A CN 104298784A
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Abstract
The invention belongs to the technical field of die design knowledge management and relates to a die design implicit knowledge acquiring and searching method. The die design implicit knowledge acquiring and searching method comprises the following steps: (1) expression of die design implicit knowledge; (2) acquisition of the die design implicit knowledge; (3) similarity calculation of the die design implicit knowledge; (4) searching of the die design implicit knowledge; (5) service workflow of the die design implicit knowledge. The die design implicit knowledge acquiring and searching method uses a designer knowledge structure model as a core, combines a body implicit knowledge base to express the die design implicit knowledge, organically combines the implicit knowledge with a knowledge owner, provides a comprehensive die design implicit knowledge life cycle processing method and means and helps an enterprise to promote value of knowledge resources. By statistics and analysis on data, the participation degree and the contribution degree of a user can be known; by virtue of a corresponding accumulated point counting and ranking mechanism, activity and the sense of honor of the user can be greatly stimulated.
Description
Technical field
The invention belongs to Design of Dies Knowledge Management Technology field, relate to the collection of a kind of Design of Dies implicit knowledge and searching method.
Background technology
Along with the development of infotech, the era of knowledge-driven economy arrives, and knowledge has become the promotion key factor of enterprise development and the assets of enterprise-essential.In the era of knowledge-driven economy, the root of enterprise core competence is just the competitive power of knowledge and knowledge.
According to Knowledge Management Theory, by the attribute of knowledge, the complexity obtaining, transmit, can be divided into Explicit Knowledge and implicit knowledge.Its concept is as follows:
Explicit Knowledge: the knowledge of general purpose language written record on certain material carrier can be utilized.
Implicit knowledge: the experience of being accumulated by practice in the past, skill, tricks of the trade and inspiration etc.
For enterprise, Explicit Knowledge coding is convenient, easily links up, shares, but also easily acquired by rival, is difficult to form the competitive edge continued; The value of implicit knowledge is general to be all implicit far above Explicit Knowledge and to be difficult to imitate, therefore not easily copied by other enterprises or steal, that enterprise carries out the basis of knowledge innovation and forms the key of core competitive, therefore enterprise needs effectively to manage implicit knowledge, can improve the competitive power of self.
Tacit knowledge management supports the core competitiveness of enterprise, and its vital role is embodied in each link of tacit knowledge management process.
In Design of Dies, implicit knowledge major embodiment is the ability solving and process various design problem, comprising: design experiences, technical ability and process customer complaint, solve rework issues etc.The carrier of Design of Dies implicit knowledge is deviser (design specialist), in daily design effort, when designer runs into design problem, is all that the expert by seeking to have relevant implicit knowledge assists, thus finally Resolving probiems.Because the time at delivery date of mould is shorter, therefore, quick and precisely find the people dealt with problems, achieve a solution method, most important with production to Design of Dies.
The state of development of theory and technology is obtained according to current information management, modern enterprise is to the management of implicit knowledge, generally use following method (that is: the general management method of modern implicit knowledge): (1) adopts various incentive mechanism, make implicit knowledge domination, build internal network and external network, use knowledge management software, realize the management of implicit knowledge; (2) according to the propagation trajectories of implicit knowledge in enterprise, from implicit knowledge generation, the acquisition of knowledge, knowledge precipitation, knowledge reuse, knowledge innovation double teacher, implicit knowledge is managed; (3) building with knowledge is what lead, tolerant, the corporate culture of equality and trust; (4) inner Mentor system; (5) in-house training; (6) e-learning.
Comprehensive analysis method above, the management mode of these methods to implicit knowledge mainly contains: the management mode of (1) modern implicit knowledge; (2) SECI pattern; (3) manage based on ontological Enterprises ' Tacit Knowledge; (4) based on the project team tacit knowledge management of affinity; (5) Knowledge Map; (6) based on the knowledge sharing incentive mode of ERG theory.
These differ from one another to the management mode of implicit knowledge, and obtain certain effect in actual applications, and because the method used is different, its scope of application also has a definite limitation, comes with some shortcomings and limitation.
(1) feature of SECI pattern is with not enough: in the process of Enterprise Innovation Activities, implicit knowledge and Explicit Knowledge interact therebetween, transform mutually, and in fact the process of knowledge transformation is exactly the process of Knowledge Creation.Knowledge transformation has four kinds of basic models---and subtle (Socialization), outside are expressed (Externalization), are gathered combination (Combination) and inner distillation (Internalization).According to SECI model, Company Knowledge finally must distil becomes the implicit knowledge of members, makes it " conscious behavior " that become employee.In other words, the carrier of enterprise key knowledge organizes members.But we can find in actual life, the employee turnover speed of a lot of enterprise is extremely frequent, flowing amplitude is also quite large.
(2) based on ontological mode feature with not enough: builds body, to the concept of association area, axiom, etc. knowledge be described and modeling, utilize the ontology model of structure to realize the collection of knowledge and acquisition, the retrieval of knowledge and reasoning.In this pattern, the quality of the body of structure is the key point realizing effective knowledge management, therefore needs field Senior Expert and ontology development personnel to work in concert and could set up satisfactory body.
(3) based on the feature of the project team pattern of affinity with not enough: in project team, member communicates with each other, exchange, and the finished item task that cooperates.In this course, Team Member carries out knowledge sharing, mutually learns in close contact, and carries out the creation of knowledge in the process.By this bridge of team, program member's personal knowledge is converted into organization knowledge.This method extremely depends on the level of intimate between Team Member, and in the enterprise that establishment officer's framework is more open, the degree of depth of affinity and the validity of affinity cannot effectively be ensured.
(4) feature of Knowledge Map is with not enough: the total score Butut of knowledge resource, specifically comprises two parts content: one is the association between the composite catalog of knowledge resources and each knowledge point; Two is personnel's network of experts.Because knowledge is dynamic change, Knowledge Map has certain structure control to knowledge, and its dynamic and expandability are short of to some extent, and causing in use needs to constantly update, and maintenance cost is higher.
(5) based on feature and the deficiency of the knowledge sharing incentive mode of ERG theory: construct a knowledge excited modes management type from survivability requirement (Existence), relation demand (Relatedness) and Growing Demand (Growth) three dimensions, by optimizing remuneration system, improving labor and social security, authorization within measure, moulding the methods such as harmonious organizational culture, realize information management.The method is to the implementation effect of system, and corporate culture relies on comparatively large, needs the supvr having certain management level and the awareness of well-publicized knowledge arrangement participate in and provide safeguard.
Summary of the invention
The object of the invention is to the shortcomings and limitations existed for the management mode of existing implicit knowledge.The collection of a kind of Design of Dies implicit knowledge and searching method are proposed, to solve following technical matters:
A) implicit knowledge represents and obtains.The implicit knowledge of Design of Dies may be present in the carriers such as business system database, image, video recording, voice, map file.How by these implicit knowledge dominations, and refine and arrange, becoming a kind of data layout that can allow computer understanding and process, is the technical matters that the present invention will solve.
B) search of implicit knowledge.Because implicit knowledge is present in the brain of people, and the knowledge of people is dynamic change, the personnel of enterprise dynamically change, therefore how which kind of implicit knowledge which people clear and definite grasps, and the most appropriate assessment is carried out to the Grasping level of implicit knowledge, when designer encounters problems in the design process, by searching for relevant implicit knowledge, most probable can be found to solve the design specialist of this problem, and this is another technical matters that the present invention will solve.
The present invention, is achieved mainly through following technological means: the expression of (1) Design of Dies implicit knowledge; (2) acquisition of Design of Dies implicit knowledge; (3) Similarity Measure of Design of Dies implicit knowledge; (4) search of Design of Dies implicit knowledge; (5) Design of Dies implicit knowledge Service Workflow.
The present invention, the expression of described Design of Dies implicit knowledge, the knowledge representation method based on the collaborative work of Semantic Web Based on Networked is adopted to represent implicit knowledge, it is by ontology-driven, in conjunction with the thought that semantic network and XML represent, to adapt to the feature of the distributed and isomerism of Enterprises ' Tacit Knowledge, make the process of implicit knowledge more flexible, for the shared of implicit knowledge provides the foundation; After domain ontology repository is set up, RDF framework is utilized to be described knowledge resource, ultimate sequence changes into XML format representation of file data knowledge, play the good characteristic that XML has as web data, in conjunction with semantic tagger during instances of ontology, computing machine is easier to understand and processes relevant knowledge.
The present invention, the acquisition of described Design of Dies implicit knowledge, comprise server end direction and client-side to two parts, wherein, server end direction comprises the steps:
Step 1: the database server of each system of enterprise and acquisition server are coupled together by TCP/IP interface and the switch that realizes data interaction;
Step 2: run the service of collection on acquisition server, according to the time interval of setting, sends the request of connection data storehouse server;
Step 3: after the server of successful connection data storehouse, knowledge acquisition service sends the request of image data to database server;
Step 4: after database server response, the parameter imported into according to collector and instruction, copy data in original knowledge database;
Step 5: service data collates program, carries out pre-service to the data collected, and data is converted to the data layout of stated type;
Step 6: pretreated Data Integration is filled instances of ontology model according to the model of predefined;
Step 7: knowledge data corresponding in model is encoded, makes data convert the file of (RDF) form to, for search;
Step 8: the data upload handled well is preserved by knowledge acquisition device in main acquisition server;
Client-side is to comprising the steps:
Step 9: the knowledge of individual, by knowledge services workflow engine, is uploaded by user;
Step 10: through examination & approval and other treatment schemees, knowledge is uploaded in knowledge acquisition server;
Step 11: repeat previous step 5,6 and 7;
By previous step, the personal knowledge that database server and user are uploaded is kept in main acquisition server.
The present invention, the Similarity Measure of described Design of Dies implicit knowledge, adopt Words similarity Model Calculating Method, weigh the relation of two words by the distance of word, the distance between word is less, represents that its similarity degree is larger, otherwise less, two words
similarity use
represent:
，
Wherein
be
level respectively,
when be similarity being 0.5
between distance,
it is a parameter that can regulate.
The present invention, the search of described Design of Dies implicit knowledge, comprises the steps:
Step 1: set inquiry service in query engine, query engine climbs net service according to the time cycle of setting in database server execution;
Step 2: climb net service and start, reptile device is collected knowledge data in database server;
Step 3: index engine is that the data of collecting set up index, generating indexes file;
Step 4: index file is kept in database server;
Step 5: user connects search module by interface, the content of inputted search;
Step 6: the content of the text identification service for user input in search module carries out pre-service, comprising: part-of-speech tagging, participle, synonym are replaced, named entity recognition;
Step 7: the method adopting chunk parsing and statement law template, carries out deep semantic analysis to input content further, analyzes the syntactic structure of input content, extracts keyword, and expands keyword;
Step 8: the result according to the semantic analysis of previous step carries out query conversion, converts the query statement of SPAROL type to;
Step 9: according to the query contents of SPAROL, utilizes in JENA indexed file and finds and infer relevant content, and carry out sequencing display from high to low according to matching degree;
Step 10: according to the object information checked out, and the related personnel that object information maps, show complete Search Results, return the related personnel's information and related content that have ability to solve problem.
The present invention, described Design of Dies implicit knowledge Service Workflow, comprises knowledge and uploads and knowledge requirement application two parts, wherein: knowledge is uploaded and comprised the steps:
Step 1: user fills in knowledge and uploads application form;
Step 2: upload multimedia knowledge annex;
Step 3: knowledge manager or expert's examination & approval;
Step 4: knowledge is shared by issuing;
Knowledge requirement application comprises the steps:
Step 1: after user search goes out relevant knowledge, if the content of search is not sufficient to deal with problems, user can propose knowledge requirement application directly to knowledge owners;
Step 2: fill in the relevant information of knowledge requirement and submit to;
Step 3: relevant knowledge owner receives knowledge requirement application;
Step 4: knowledge owners processes demand.
The present invention, owing to managing multifarious Design of Dies implicit knowledge, manages from multiple angle your implicit knowledge of Design of Dies, generally speaking has following four advantages:
1, innovation implicit knowledge method for expressing: the present invention with designer's knowledge structure models for core, in conjunction with body implicit knowledge storehouse, Design of Dies implicit knowledge is represented, implicit knowledge and knowledge owners are combined, provide comprehensive Design of Dies implicit knowledge life cycle disposal route and means, help enterprise to promote the value of knowledge resource;
2, comprehensively knowledge apply is experienced: the present invention, by people, flow process and Design of Dies implicit knowledge being combined, makes Design of Dies implicit knowledge be easier to preserve and share;
3, relaxedly and rapidly knowledge is obtained: the present invention has taken into full account that user obtains agility, ease for use, the Accuracy and high efficiency of knowledge, by directly connecting the acquisition of the database realizing knowledge of each system, in conjunction with semantic retrieving method, the former Similarity Measure of concept justice, user is helped to obtain object knowledge like a cork;
4, effective information management stimulation tool: the present invention builds knowledge work fluid system, by to the statistics of data and analysis, participation and the contribution degree of user can be understood, by integration statistics and the rank mechanism of correspondence, enthusiasm and the sense of honour of user can greatly be stimulated.In addition, the foundation of integration system, can also observe user to the percentage contribution of knowledge and level of application, in conjunction with enterprise performance evaluation, makes information management become the routine work of user, is able to sustainable development.
Accompanying drawing explanation
Fig. 1 is concept attribute and the graph of a relation of Design of Dies body (part); Fig. 2 is conceptual entity and relation on attributes table thereof; Fig. 3 is that distribution system services device end (client) knowledge acquisition obtains schematic diagram; Fig. 4 is word tree derivation; Fig. 5 is the process flow diagram that user searches for Design of Dies implicit knowledge in systems in which; Fig. 6 is that knowledge uploads issue workflow diagram; Fig. 7 is knowledge requirement process flow diagram.
Embodiment
With reference to Fig. 1-Fig. 7, a kind of Design of Dies implicit knowledge gathers and searching method, comprises following 5 parts: the expression of (1) Design of Dies implicit knowledge; (2) acquisition of Design of Dies implicit knowledge; (3) Similarity Measure of Design of Dies implicit knowledge; (4) search of Design of Dies implicit knowledge; (5) Design of Dies implicit knowledge Service Workflow.
(1) expression of Design of Dies implicit knowledge
Because implicit knowledge is present in the middle of human brain with multiple memory forms of expression such as natural language, figure, formula, icon, images, in addition the dominant carrier of implicit knowledge is also various, comprising: data, image, video recording, voice, map file etc. that business system produces.Current artificial intelligence technology can not realize the information directly processing human brain, therefore, needs to use the intelligible special symbol of computing machine (coding) to describe Design of Dies implicit knowledge, could store, retrieve, revise and the intelligent processing method such as reasoning to it.
This method adopts the knowledge representation method based on the collaborative work of Semantic Web Based on Networked to represent implicit knowledge.It is by ontology-driven, in conjunction with the thought that semantic network and XML represent, adapts to the feature of the distributed and isomerism of current Enterprises ' Tacit Knowledge well, makes the process of implicit knowledge more flexible, for the shared of implicit knowledge provides the foundation.
After domain ontology repository is set up, RDF framework is utilized to be described knowledge resource, ultimate sequence changes into XML format representation of file data knowledge, play the good characteristic that XML has as web data, in conjunction with semantic tagger during instances of ontology, computing machine (application program) is made to be easier to understand and to process knowledge.
Fig. 1 is concept attribute and the graph of a relation of Design of Dies body (part), and Fig. 2 is conceptual entity and relation on attributes table thereof;
According to the concept of Design of Dies ontology definition above, attribute and relation, when instances of ontology, various factural information carried out owl language mark and is embedded in the middle of annotation, identifying the example of each conceptual entity with unique URI.After mark, factural information just can by Computer Analysis and process.
Design of Dies personnel be expressed as follows:
<?rdf:RDF?xmlns:rd?f?=?"http://www.w3.org/1999/02/22‐rdf‐syntax‐ns#?"；
xmlns:xsd?=?"http://www.w3.org/2001/XMLSchema#"；
xmlns:rdfs?=?"http://www.w3.org/2000/01/rdf‐schema#"；
xmlns:webmanu?=?"?http://191.1.0.15/cims/WebManu.owl#?"；
xmlns?=?"http://www.JLMoude‐design.com/personal.html#">；
Below <--is described Design of Dies personnel-->:
<webmanu: Design of Dies personnel rdf:ID=" Design of Dies expert " >;
<webmanu: name > slip-stick artist A</webmanu: name >;
<webmanu: phone >136XXXXXXXX</webmanu: phone >;
<webmanu: > technology department of department </webmanu: department >;
<webmanu: group > font set </webmanu: group >;
<webmanu: obtain rdf:resource=" http://www.JLMoude ?design.com/personal.html# certificate technical ability prove "/>;
<webmanu: serve as rdf:resource=" http://www.JLMoude ?design.com/personal.html# position "/>;
<webmanu: participate in rdf:resource=" http://www.JLMoude ?design.com/personal.html# training record "/>;
<webmanu: bear rdf:resource=" http://www.JLMoude ?design.com/personal.html# work "/>;
</webmanu: Design of Dies personnel >;
</rdf:RDF>。
Design of Dies implicit knowledge has following source:
The various certificate that designer obtains or grade of skill prove;
The post of designer, occupational information;
The design objective etc. of the cases of design that designer participated in, the design problem of process, execution;
The training record of designer;
Customer complaint record;
Record is reprocessed in production.
There is following characteristics in the source of Design of Dies implicit knowledge:
Source diversity: technical ability certificate, post information, training record are from manpower system; Cases of design, executes the task from Design of Dies management system; Customer complaint record, production reprocess record from ERP system.
The type disunity of information: the information had is stored in database with charting form, has plenty of several field informations of certain form.
Conclusion: therefore need to carry out pre-service, Uniform data format to Design of Dies implicit knowledge.Need to formulate unified standard, according to standard Extracting Information from various data source.
Shown in Fig. 3 is that distribution system services device end (client) knowledge acquisition obtains schematic diagram.
Introduce the step obtaining Design of Dies implicit knowledge below:
Server end direction:
Step 1: the database server of each system of enterprise and acquisition server are coupled together by TCP/IP interface and the switch that realizes data interaction;
Step 2: run the service of collection on acquisition server, according to the time interval of setting, sends the request of connection data storehouse server;
Step 3: after the server of successful connection data storehouse, knowledge acquisition service sends the request of image data to database server;
Step 4: after database server response, the parameter imported into according to collector and instruction, copy data in original knowledge database;
Step 5: service data collates program, carries out pre-service to the data collected, and data is converted to the data layout of stated type;
Step 6: pretreated Data Integration is filled instances of ontology model according to the model of predefined;
Step 7: knowledge data corresponding in model is encoded, makes data convert the file of (RDF) form to, for search;
Step 8: the data upload handled well is preserved by knowledge acquisition device in main acquisition server.
Client-side to:
Step 9: the knowledge of individual, by knowledge services workflow engine, is uploaded by user;
Step 10: through examination & approval and other treatment schemees, knowledge is uploaded in knowledge acquisition server;
Step 11: repeat 5,6 above, 7 steps.
By previous step, the personal knowledge that database server and user are uploaded is kept in main acquisition server.
(3) Similarity Measure of Design of Dies implicit knowledge
a) Word similarity
Implicit knowledge is matched in order to can accurately retrieve, except the previously described description by body, Design of Dies implicit knowledge being carried out to generalities, beyond semanteme computing machine being appreciated that be labeled content, also need to carry out computational analysis to the similarity of the semantic concept of Ontological concept.
The present invention adopts Words similarity Model Calculating Method to the Similarity Measure of implicit knowledge, and weigh the relation of two words by the distance of word, the distance between word is less, represents that its similarity degree is larger, otherwise less.Two words
similarity use
represent:
，
Wherein
be
level respectively,
when be similarity being 0.5
between distance,
it is a parameter that can regulate.
As shown in Figure 4:
with
between distance be
, therefore similarity is
, and
with
between distance be
, so its similarity is
,
Visible, the word of two same distances, its similarity increases along with the increase of the summation of level residing for word, reduces along with the increase of level difference.
B)
word is encoded:
The coding of word is the coding of a kind of 4 layers, and its rule is: ground floor 26 capitalization English letters represent, the second layer 26 small English alphabet represent, third layer two tens digits represent, the 4th layer represents with 26 small English alphabet.Coding as " internal porosity " is " Cb02c ", and department's word coding is as shown in the table:
| Word | Coding | Word | Coding | Word | Coding |
| Clamp-off | Cg03a | Bubble | Cc02c | Be full of cracks | Cg02a |
| Nip | Cb01a | Frosting | Cc03a | Gloss | Ca04a |
| Impression | Cg06d | Bubble | Cc02a | Scratch | Cg06a |
| Chipping | Ci01a | Holes | Cb02b | Score | Cg06e |
| Check | Cg01a | Inclined mould | Ci03a | Corrosion | Cj01a |
| Mist degree | Cc03b | Distortion | Cf01c | Scrap jam | Ck02a |
| Stain | Cl01c | Internal porosity | Cb02c | Waste material | Ck01a |
| Fade | Ca01b | Polishing scratch | Cg06c | Whiting | Ca02a |
| Blacking scab | Cc01a | Film bubble | Cc02b | Shattered crack | Cg01d |
| Flange wrinkle | Cd01c | Shock line | Cg06j | Acne spot | Cl01f |
| Streak | Cg06k | Plate mark | Cg06f | Tubercular corrosion | Cj01b |
| Filler speak | Cl01b | Rising head band meat | Ce01a | Insufficient fill | Ci02c |
| Subside | Ci02a | Burr | Ce02b | Body wrinkle | Cd01a |
| Necking down | Ci04a | Pit | Cl01e | Peel off | Ci05a |
| Cracked | Cg04a | Current mark | Cg06b | Ripple mark | Cg06l |
| Scale | Cc04a | Crackle | Cg01c | Skin inclusion | Cd01d |
| Resin wear | Ci07a | Slight crack | Cg01b | Center buckle | Cd01b |
| Resin streak | Cd02b | Slight crack | Cg01e | Alligatoring | Cg01f |
| Scuffing | Cg06i | Raw edges | Cg05a | Distortion | Cf01b |
| Wound/cut | Cg06h | Hole (foundry defect) | Cb02a | Spot | Cl01d |
| Aberration | Ca01a | Hole | Ci06a | Albefaction | Ca02b |
| Color spot | Ca03a | Surface roughening | Cd02c | Scar | Cg06g |
| Melt and collapse | Ci02d | Orange peel | Cd02a | Depression | Ci02b |
| Edge | Ce02a | Stick with paste spot | Cl01a | Shrinkage pool | Cb02d |
| Warpage | Cf01a | Weldering trace | Cg06m | Indenture | Cg03b |
When carrying out knowledge concepts search, first the txt file of the thesaurus having set up Design of Dies is loaded, according to the coding of each word can calculate this word place position and and word between distance, find the word higher with search terms similarity to search in the lump, thus improve the recall ratio of information search.
(4) search of Design of Dies implicit knowledge
Fig. 5 is the process flow diagram that user searches for Design of Dies implicit knowledge in systems in which.Design of Dies personnel are when running into design bottleneck, and input in search module and search for the description of problem or the correlated knowledge point that uses, system realizes the display of Search Results according to following steps:
Step 1: set inquiry service in query engine, query engine climbs net service according to the time cycle of setting in database server execution;
Step 2: climb net service and start, reptile device is collected knowledge data in database server;
Step 3: index engine is that the data of collecting set up index, generating indexes file;
Step 4: index file is kept in database server;
Step 5: user connects search module by interface, the content of inputted search;
Step 6: the content of the text identification service for user input in search module carries out pre-service, comprising: part-of-speech tagging, participle, synonym are replaced, named entity recognition;
Step 7: the method adopting chunk parsing and statement law template, carries out deep semantic analysis to input content further, analyzes the syntactic structure of input content, extracts keyword, and expands keyword;
Step 8: the result according to the semantic analysis of previous step carries out query conversion, converts the query statement of SPAROL type to;
Step 9: according to the query contents of SPAROL, utilizes in JENA indexed file and finds and infer relevant content, and carry out sequencing display from high to low according to matching degree;
Step 10: according to the object information checked out, and the related personnel that object information maps, show complete Search Results, return the related personnel's information and related content that have ability to solve problem.
(5) Design of Dies implicit knowledge Service Workflow
Design of Dies implicit knowledge Service Workflow comprises knowledge and uploads and knowledge requirement application two parts, and Fig. 6 is that knowledge uploads issue workflow diagram, and Fig. 7 is knowledge requirement process flow diagram, wherein: knowledge is uploaded and comprised the steps:
Step 1: user fills in knowledge and uploads application form;
Step 2: upload multimedia knowledge annex;
Step 3: knowledge manager or expert's examination & approval;
Step 4: knowledge is shared by issuing;
Knowledge requirement application comprises the steps:
Step 1: after user search goes out relevant knowledge, if the content of search is not sufficient to deal with problems, user can propose knowledge requirement application directly to knowledge owners;
Step 2: fill in the relevant information of knowledge requirement and submit to;
Step 3: relevant knowledge owner receives knowledge requirement application;
Step 4: knowledge owners processes demand.
Claims (6)
1. Design of Dies implicit knowledge gathers and a searching method, comprising: the expression of (1) Design of Dies implicit knowledge; (2) acquisition of Design of Dies implicit knowledge; (3) Similarity Measure of Design of Dies implicit knowledge; (4) search of Design of Dies implicit knowledge; (5) Design of Dies implicit knowledge Service Workflow.
2. Design of Dies implicit knowledge according to claim 1 gathers and searching method, it is characterized in that: the expression of described Design of Dies implicit knowledge, the knowledge representation method based on the collaborative work of Semantic Web Based on Networked is adopted to represent implicit knowledge, it is by ontology-driven, in conjunction with the thought that semantic network and XML represent, to adapt to the feature of the distributed and isomerism of Enterprises ' Tacit Knowledge, make the process of implicit knowledge more flexible, for the shared of implicit knowledge provides the foundation; After domain ontology repository is set up, RDF framework is utilized to be described knowledge resource, ultimate sequence changes into XML format representation of file data knowledge, play the good characteristic that XML has as web data, in conjunction with semantic tagger during instances of ontology, computing machine is easier to understand and processes relevant knowledge.
3. Design of Dies implicit knowledge according to claim 1 gathers and searching method, it is characterized in that: the acquisition of described Design of Dies implicit knowledge, and comprise server end direction and client-side to two parts, wherein, server end direction comprises the steps:
Step 1: the database server of each system of enterprise and acquisition server are coupled together by TCP/IP interface and the switch that realizes data interaction;
Step 2: run the service of collection on acquisition server, according to the time interval of setting, sends the request of connection data storehouse server;
Step 3: after the server of successful connection data storehouse, knowledge acquisition service sends the request of image data to database server;
Step 4: after database server response, the parameter imported into according to collector and instruction, copy data in original knowledge database;
Step 5: service data collates program, carries out pre-service to the data collected, and data is converted to the data layout of stated type;
Step 6: pretreated Data Integration is filled instances of ontology model according to the model of predefined;
Step 7: knowledge data corresponding in model is encoded, makes data convert the file of (RDF) form to, for search;
Step 8: the data upload handled well is preserved by knowledge acquisition device in main acquisition server;
Client-side is to comprising the steps:
Step 9: the knowledge of individual, by knowledge services workflow engine, is uploaded by user;
Step 10: through examination & approval and other treatment schemees, knowledge is uploaded in knowledge acquisition server;
Step 11: repeat previous step 5,6 and 7;
By previous step, the personal knowledge that database server and user are uploaded is kept in main acquisition server.
4. Design of Dies implicit knowledge according to claim 1 gathers and searching method, it is characterized in that: the Similarity Measure of described Design of Dies implicit knowledge, adopt Words similarity Model Calculating Method, the relation of two words is weighed by the distance of word, distance between word is less, represent that its similarity degree is larger, on the contrary less, two words
similarity use
represent:
，
Wherein
be
level respectively,
when be similarity being 0.5
between distance,
it is a parameter that can regulate.
5. Design of Dies implicit knowledge according to claim 1 gathers and searching method, it is characterized in that: the search of described Design of Dies implicit knowledge, comprises the steps:
Step 1: set inquiry service in query engine, query engine climbs net service according to the time cycle of setting in database server execution;
Step 2: climb net service and start, reptile device is collected knowledge data in database server;
Step 3: index engine is that the data of collecting set up index, generating indexes file;
Step 4: index file is kept in database server;
Step 5: user connects search module by interface, the content of inputted search;
Step 6: the content of the text identification service for user input in search module carries out pre-service, comprising: part-of-speech tagging, participle, synonym are replaced, named entity recognition;
Step 7: the method adopting chunk parsing and statement law template, carries out deep semantic analysis to input content further, analyzes the syntactic structure of input content, extracts keyword, and expands keyword;
Step 8: the result according to the semantic analysis of previous step carries out query conversion, converts the query statement of SPAROL type to;
Step 9: according to the query contents of SPAROL, utilizes in JENA indexed file and finds and infer relevant content, and carry out sequencing display from high to low according to matching degree;
Step 10: according to the object information checked out, and the related personnel that object information maps, show complete Search Results, return the related personnel's information and related content that have ability to solve problem.
6. Design of Dies implicit knowledge according to claim 1 gathers and searching method, it is characterized in that: described Design of Dies implicit knowledge Service Workflow, comprises knowledge and upload and knowledge requirement application two parts, wherein: knowledge is uploaded and comprised the steps:
Step 1: user fills in knowledge and uploads application form;
Step 2: upload multimedia knowledge annex;
Step 3: knowledge manager or expert's examination & approval;
Step 4: knowledge is shared by issuing;
Knowledge requirement application comprises the steps:
Step 1: after user search goes out relevant knowledge, if the content of search is not sufficient to deal with problems, user can propose knowledge requirement application directly to knowledge owners;
Step 2: fill in the relevant information of knowledge requirement and submit to;
Step 3: relevant knowledge owner receives knowledge requirement application;
Step 4: knowledge owners processes demand.
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| CN104966145A (en) * | 2015-04-20 | 2015-10-07 | 广东工业大学 | Die design personnel tacit knowledge capability automatic assessment method based on historical data |
| CN106203632A (en) * | 2016-07-12 | 2016-12-07 | 中国科学院科技政策与管理科学研究所 | A kind of limited knowledge collection recombinant is also distributed the study of extraction and application system method |
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| CN109359355A (en) * | 2018-09-05 | 2019-02-19 | 重庆创速工业有限公司 | A kind of design implementation method of normal structure module |
| CN109471939A (en) * | 2018-10-24 | 2019-03-15 | 山东职业学院 | A kind of system of knowledge classification and implicit knowledge domination |
| CN109471939B (en) * | 2018-10-24 | 2021-05-11 | 山东职业学院 | Knowledge classification and implicit knowledge domination system |
| CN109710775A (en) * | 2018-12-29 | 2019-05-03 | 北京航天云路有限公司 | A kind of knowledge mapping dynamic creation method based on more rules |
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