CN108241723A - A kind of application-oriented business data resource polymerization method - Google Patents
A kind of application-oriented business data resource polymerization method Download PDFInfo
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- CN108241723A CN108241723A CN201611269839.0A CN201611269839A CN108241723A CN 108241723 A CN108241723 A CN 108241723A CN 201611269839 A CN201611269839 A CN 201611269839A CN 108241723 A CN108241723 A CN 108241723A
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- 238000006116 polymerization reaction Methods 0.000 title claims abstract description 36
- 238000004458 analytical method Methods 0.000 claims abstract description 8
- 238000007726 management method Methods 0.000 abstract description 9
- 230000008520 organization Effects 0.000 abstract description 2
- 238000013523 data management Methods 0.000 abstract 1
- 238000005516 engineering process Methods 0.000 description 6
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/28—Databases characterised by their database models, e.g. relational or object models
- G06F16/284—Relational databases
- G06F16/288—Entity relationship models
Abstract
The invention discloses a kind of application-oriented business data resource polymerization methods, are related to data management field, include the following steps:Establish business entity library (internal organization, enterprise staff, Party A's unit, engineering project, affiliated industry specialized dictionary) and business data resources bank;Analysis entities and business data resources relationship establish data resource guiding query path model for enterprise query application demand;By input inquiry keyword, query entity is matched, then by the way that interrogation model is guided to obtain the data resource for needing to inquire.Advantages of the present invention:Based on business data resource management and application demand, by establishing enterprise key entity library, establish application query and data resource associations model, contact will be established between the data resource of kernel business system, application demand and dynamic change, it can be according to the data asset information being oriented to needed for quick obtaining in enterprise.
Description
Technical field
The present invention relates to the retrievals of inside data of enterprise resource query to apply, especially for self-defined complex relationship type data
Guiding, correlation inquiry use.The lookup of inside data of enterprise resource often has certain purpose and regularity, by this
A little rules are analyzed, are modeled, and by computer information technology, us can be helped fast from numerous business data resources
Speed finds the data of oneself needs, improves the accuracy of data query.
Background technology
Data are considered as the basic means of livelihood and elements of market of the new period, and significance level is no less than material assets and people
Power capital.In recent years, the data volume that enterprise generates exponentially increases, the explosive surge of data resource, wherein non-structured
Data information reaches 85% or so.
The data resource that most enterprises grasp is chronically at extensive management state.Inside is generated for enterprise and external feedback
Mass data information be only to store or even all do not store very much, lack the examination of information, classification, integration and plus
Work is seldom managed decision using data, and the utilization rate of data resource is very low.The effective method of most enterprises shortage,
Means and mechanism are managed data resource, and timely and effectively data resource can not be extracted, integrate and analyzed, and repeat
Producing level is very low.
Traditional data resource querying method one kind is accurately searched by specified data and condition, and one kind is not refer to
Fixed condition carries out full-text search, and the association that both modes can not be shown from the perspective of business administration between data is closed
System can not accurately judge that the data that inquiry is actually needed in user are.Such as:Traditional directory mode inputs a name and " opens
Three ", system may find a lot of information for including " Zhang San ", but user may be intended to see that " Zhang San " this people undertook
The information such as project, prize-winning situation.
It actually wants to the data resource of inquiry so how to go out user according to the keyword intelligent decision of input or provides
Multiple data candidate items select to be the critical issue for solving precisely to obtain data resource in enterprise for user.
Invention content
To solve the problems, such as precisely to obtain data resource in enterprise, the embodiment of the present invention provides a kind of application-oriented enterprise
Industry data resource polymerization, including following steps:
Establish business entity library:By combing enterprise internal management entity, foundation include tissue, personnel, project, Party A,
Business entity library including place name and industry professional technique;
Establish business data resources bank:By combing business data Resource TOC, to business data resource carry out classification and
Coding establishes the business data resources bank including technological achievement data and business administration data;
Establish the guiding query path of business data resource:Between analysis entities and entity, entity and data, data and data
Relationship, establish the incidence relation between entity and entity, entity and data, data and data, establish business data resource and draw
Lead query path model;
Perform guiding inquiry:The keyword to be inquired is inputted, the entity of key representations is automatically identified, is looked into according to guiding
It askes path model Auto-matching and goes out the data candidate item to be inquired, user can voluntarily select the data that need to be inquired.
A kind of application-oriented business data resource polymerization method, wherein,
The business entity library of establishing includes:By combing enterprise internal management entity, foundation includes tissue, personnel, item
Mesh, Party A, place name and enterprise 6 kernel entities of affiliated industry professional technique.Wherein each entity need to include title, abbreviation,
5 fundamental information such as alias, historical name, code.
A kind of application-oriented business data resource polymerization method, wherein, the business entity library can be in 6 core realities
It is deleted or is expanded based on different enterprise demands on the basis of body;
A kind of application-oriented business data resource polymerization method, wherein, the fundamental information that the entity includes can
To be deleted or be expanded according to actual demand on the basis of 5 fundamental information.
A kind of application-oriented business data resource polymerization method, wherein,
The business data resources bank of establishing includes:Unified data resource classification and coding standard are established, in enterprise
Various types of data resource combed, establish business data including various technological achievement data and business administration data including and provide
Content can be not limited to technological achievement data and business administration data in source library, wherein data repository.
A kind of application-oriented business data resource polymerization method, wherein,
It is described to establish the guiding query path of business data resource:Analysis entities and entity, entity and data, data and data
Between relationship, establish the incidence relation between entity and entity, entity and data, data and data, establish business data money
Source guides query path model;
A kind of application-oriented business data resource polymerization method, wherein, entity and entity, entity and data, data with
Relationship between data include 1 pair 1, more than 1 pair, multipair 1 and multi-to-multi;
A kind of application-oriented business data resource polymerization method, wherein, guide at least needs to include in interrogation model
With score value, data (entity) code of input, data to be checked (entity) mark, data to be checked (entity) query expression;
A kind of application-oriented business data resource polymerization method, wherein, matching score value is used to determine of interrogation model
With priority, data (entity) code and data to be checked (entity) mark of input determine two associated data;
A kind of application-oriented business data resource polymerization method, wherein, data to be checked (entity) query expression is used
Data query is carried out in data in determining how, expression formula can use SQL expression, LINQ expression formulas etc. are analysable to look into
Ask expression formula.
A kind of application-oriented business data resource polymerization method, wherein,
It is described to perform guiding inquiry:The keyword to be inquired is inputted, key representations are automatically identified from entity library
Entity (data) goes out the data candidate item to be inquired according to guiding query path model Auto-matching, and user can voluntarily select
The data that need to be inquired.
A kind of application-oriented business data resource polymerization method, wherein, the entity for automatically identifying key representations (counts
According to) can determine also determine come fuzzy by fuzzy search come accurate by SQL query;Wherein user has selected required inquire
Data after the score value of corresponding guiding interrogation model is added 1 automatically.
A kind of application-oriented business data resource polymerization method, wherein,
It is described according to guiding query path model Auto-matching go out the data candidate item to be inquired the specific steps are:
Traversal guiding query path model library:In established business data resource guides query path model library, time
It goes through and searches the entity (data) comprising representated by key word of the inquiry;
It is sorted from high to low to guiding interrogation model according to score value:Will traverse out guiding interrogation model according to point
Value is ranked up from high to low, lists the data candidate item to be inquired;
It can be seen that:
Application-oriented business data resource polymerization method in the embodiment of the present invention can meet:
By upper purpose and rule being applied to be analyzed, modeled in inquiry inside data of enterprise resource, by calculating
Machine information technology, global search technology and data digging method, by carrying out Entities Matching to search key, according to guiding
Query path model can help us to quickly find the data of oneself needs from numerous business data resources, improve number
It is investigated that the accuracy ask.
Description of the drawings
Fig. 1 is the flow diagram of application-oriented business data resource polymerization method provided in the embodiment of the present invention;
Fig. 2 is to establish business data in the application-oriented business data resource polymerization method provided in the embodiment of the present invention
The flow diagram of resources bank step;
Fig. 3 is to establish business data in the application-oriented business data resource polymerization method provided in the embodiment of the present invention
Resource guides the flow diagram of query path model step;
Fig. 4 is that guiding inquiry is performed in the application-oriented business data resource polymerization method provided in the embodiment of the present invention
The flow diagram of step;
Specific embodiment
In order to which those skilled in the art is made to more fully understand the present invention program, below in conjunction with attached drawing and specific implementation
Example is next, and the present invention will be described in detail, and illustrative examples of the invention and explanation are used for explaining the present invention, but be not intended as herein
Limitation of the invention.
Fig. 1 is the flow diagram of application-oriented business data resource polymerization method provided in this embodiment, such as Fig. 1 institutes
Show, this method following steps:
A kind of application-oriented business data resource polymerization method, which is characterized in that include the following steps:
Establish business entity library:By combing enterprise internal management entity, foundation include tissue, personnel, project, Party A,
Business entity library including place name and industry professional technique;
Establish business data resources bank:By combing business data Resource TOC, to business data resource carry out classification and
Coding establishes the business data resources bank including technological achievement data and business administration data;
Establish the guiding query path of business data resource:Between analysis entities and entity, entity and data, data and data
Relationship, establish the incidence relation between entity and entity, entity and data, data and data, establish business data resource and draw
Lead query path model;
Perform guiding inquiry:The keyword to be inquired is inputted, the entity of key representations is automatically identified, is looked into according to guiding
It askes path model Auto-matching and goes out the data candidate item to be inquired, user can voluntarily select the data that need to be inquired.
As shown in Fig. 2, a kind of application-oriented business data resource polymerization method, wherein:
It is described to establish business data resources bank:By combing business data Resource TOC, business data resource is divided
Class and coding establish the business data resources bank including technological achievement data and business administration data;
It is described establish business data resources bank the specific steps are:
Establish data resource classification and coding:The standard of data resource classification and coding is established according to hierarchical structure;
Comb data resource in enterprise:Data resource all in enterprise is combed;
Data resource is screened, classification and coding:Data resource out will be combed to screen, reject miscellaneous number
According to;Collating sort is carried out to data resource, and assign per item data according to its generic according to data resource classification and coding
The corresponding classification coding of resource.
As shown in figure 3, a kind of application-oriented business data resource polymerization method, wherein:
Establish the guiding query path of business data resource:Between analysis entities and entity, entity and data, data and data
Relationship, establish the incidence relation between entity and entity, entity and data, data and data, establish business data resource and draw
Lead query path model;
It is described establish business data resource guiding query path the specific steps are:
Analyze enterprise query application demand:Enterprise internal management inquiry application demand is investigated, these demands are analyzed,
Determine need which guiding interrogation model established;
Establish incidence relation between data:Incidence relation between data include 1 pair 1, more than 1 pair, multipair 1 and multi-to-multi.
Establish guiding interrogation model:According to every class data actual queries application demand, guiding interrogation model is established, guiding is looked into
It askes at least to need to include in model to match score value, data (entity) code of input, data to be checked (entity) and identifies, is to be checked
Data (entity) query expression;
Provide guiding interrogation model initial matching score value:Each guiding interrogation model need to provide one initial as desired
With score value, for determining the matching priority of interrogation model, score value value range is > 1.
Provide query expression:According to inquiry application demand, the incidence relation between data is used and is identified convenient for computer
The language of parsing, which is indicated, establishes query expression, and expression formula can use SQL expression, LINQ expression formulas.
As shown in figure 4, a kind of application-oriented business data resource polymerization method, wherein:
Perform guiding inquiry:The keyword to be inquired is inputted, the entity of key representations is automatically identified, is looked into according to guiding
It askes path model Auto-matching and goes out the data candidate item to be inquired, user can voluntarily select the data that need to be inquired.
It is described perform guiding inquiry the specific steps are:
Input inquiry keyword:User needs the keyword of data inquired by input equipment input.
The entity that identidication key represents:System parses keyword, from the title in entity library, abbreviation, alias, goes through
Identify the entity for meeting querying condition in history title, code fundamental information, meet the entity of condition may have it is multiple.
Traversal guiding interrogation model library:The entity that will identify that is put into guiding interrogation model library and is traversed, traversal
The coding for the entity that the foundation matched is is consistent with data (entity) code inputted in model.
Find out matched guiding interrogation model:Matched guiding interrogation model is saved in a Matching Model set.
According to Model Matching score value sorting data candidate item:To the guiding interrogation model in Matching Model set according to matching
Score value is sorted from high to low, user is supplied to carry out as data candidate item data (entity) to be checked in each model
Selection.
Such as:Name is inputted, if matching unit personnel, guiding inquiry occurs:Employee's personal information, the employee are responsible for
Project, which wins a prize situation etc.;If it is department to match, there is guiding inquiry, department's situation, department in input department
The project of completion, sector budget, department's index performance, department's index variation etc.;Cuit title may occur in which that guiding is looked into
It askes:Project information, Project contract situation, project income, project expenditure, project achievement, project filing situation etc.;Input matches
Place name may occur in which guiding inquiry:Place name position, the project near the place name etc..
Case is embodied with one to elaborate using the application-oriented business data resource polymerization method below.
The practical data for thinking inquiry of user can more accurately be captured using the application-oriented business data resource polymerization method.
Establish business entity library:Due to the difference of each enterprise internal management situation, the entity library of required foundation is also
Different.In present case, the business entity library of foundation includes all employees of institutional framework, enterprises of enterprises, enterprise
The entities such as place name, the affiliated industry professional technique of enterprise in city where the production project that undertakes, project Party A unit, enterprise.Often
A entity all includes 5 fundamental information such as title, abbreviation, alias, historical name, code.Institutional framework in present case
Code is A01, employee code A02, item code A03, and Party A's Unit code is A04, and urban place name code is B01, institute
It is C01 to belong to industry professional technique code.
Establish data resource classification and coding:Data resource situation is grasped according to enterprise and management requires, according to level pipe
Enterprise Data resource classification and coding standard are established in the requirement of reason, each classification is required for giving a unique encodings.This case
Using four major class, middle class, group, group classification levels in example, classification is encoded using 7 Arabic numerals,
In the 1st be major class, the 2nd, 3 be middle class, the 4th, 5 be group, the 6th, 7 be small group.
Comb data resource in enterprise:All technological achievement data and the enterprise operation pipe in enterprise have been combed in present case
Reason data, 382 altogether.
Data resource is screened, classification and coding:Data resource out will be combed to screen, reject miscellaneous number
According to;Collating sort is carried out to data resource, and assign per item data according to its generic according to data resource classification and coding
The corresponding classification coding of resource.Employee's essential information data encoding is 9010501 in present case, employee's contract information data encoding
It is 9010502, employee's winning information data encoding is 9010503.
Analyze enterprise query application demand:Enterprise internal management inquiry application demand is investigated, these demands are analyzed,
Determine need which guiding interrogation model established.It is to input employee's name, bootable use that application demand is inquired in present case
Essential information, contract information, prize-winning situation, the responsible engineering project of the employee is checked at family.
Establish incidence relation between data:Incidence relation between data is established in analysis, organization and employee in present case
Relationship be more than 1 pair, the relationship of employee and project is more than 1 pair, and the relationship of employee and employee's essential information is 1 pair 1, employee and member
The relationship of work contract information is 1 pair 1, and the relationship of employee and employee's winning information is more than 1 pair.
Establish guiding interrogation model:According to every class data actual queries application demand, guiding interrogation model is established, guiding is looked into
It askes at least to need to include in model to match score value, data (entity) code of input, data to be checked (entity) and identifies, is to be checked
Data (entity) query expression.Established in present case 4 guiding interrogation models, respectively the essential information of employee and employee,
Contract information, prize-winning situation, responsible engineering project.
Provide guiding interrogation model initial matching score value:Each guiding interrogation model need to provide one initial as desired
With score value, for determining the matching priority of interrogation model, score value value range is > 1.Employee and responsible work in present case
Journey project query Model score is 5, and other interrogation model score values are 1.
Provide query expression:According to inquiry application demand, the incidence relation between data is used and is identified convenient for computer
The language of parsing, which is indicated, establishes query expression, and expression formula can use SQL expression, LINQ expression formulas.In present case
Query expression uses SQL expression.
Input inquiry keyword:User needs the keyword of data inquired by input equipment input, defeated in present case
Enter key word of the inquiry " Zhang San ".
The entity that identidication key represents:System parses keyword, from the title in entity library, abbreviation, alias, goes through
Identify the entity for meeting querying condition in history title, code fundamental information, meet the entity of condition may have it is multiple.This
Employee's entity that name is " Zhang San " can be inquired in case from entity library.
Traversal guiding interrogation model library:The entity that will identify that is put into guiding interrogation model library and is traversed, traversal
The coding for the entity that the foundation matched is is consistent with data (entity) code inputted in model.
Find out matched guiding interrogation model:Matched guiding interrogation model is saved in a Matching Model set.
4 guiding interrogation models can be matched in present case.
According to Model Matching score value sorting data candidate item:To the guiding interrogation model in Matching Model set according to matching
Score value is sorted from high to low, user is supplied to carry out as data candidate item data (entity) to be checked in each model
Selection.The data candidate item actually obtained in present case is followed successively by " project that Zhang San is responsible for ", " essential information of Zhang San ", " opens
Three labour contract information ", " the prize-winning situation of Zhang San ".
It can be seen that:
Application-oriented business data resource polymerization method in the embodiment of the present invention can meet:
By upper purpose and rule being applied to be analyzed, modeled in inquiry inside data of enterprise resource, by calculating
Machine information technology, global search technology and data digging method, by carrying out Entities Matching to search key, according to guiding
Query path model can help us to quickly find the data of oneself needs from numerous business data resources, improve number
It is investigated that the accuracy ask.
Although depicting the embodiment of the present invention by embodiment, it will be appreciated by the skilled addressee that there are many present invention
Deformation and variation are without departing from spirit of the invention, it is desirable to which appended claim includes these deformations and changes without departing from originally
The spirit of invention.
Claims (7)
- A kind of 1. application-oriented business data resource polymerization method, which is characterized in that include the following steps:Establish business entity library:By combing enterprise internal management entity, foundation includes tissue, personnel, project, Party A, place name With the business entity library including industry professional technique;Establish business data resources bank:By combing business data Resource TOC, classification and coding is carried out to business data resource, Establish the business data resources bank including technological achievement data and business administration data;Establish business data resource guiding query path model:Between analysis entities and entity, entity and data, data and data Relationship, establish the incidence relation between entity and entity, entity and data, data and data, establish business data resource and draw Lead query path model;Perform guiding inquiry:The keyword to be inquired is inputted, automatically identifies the entity of key representations, road is inquired according to guiding Diameter model Auto-matching goes out the data candidate item to be inquired, and user can voluntarily select the data that need to be inquired.
- 2. a kind of application-oriented business data resource polymerization method according to claim 1, it is characterised in that:The business entity library of establishing includes:By combing enterprise internal management entity, foundation includes tissue, personnel, project, first Side, place name and enterprise 6 kernel entities of affiliated industry professional technique;Wherein each entity need to include title, abbreviation, alias, 5 historical name, code fundamental information.
- 3. a kind of application-oriented business data resource polymerization method according to claim 1,2, it is characterised in that:It is deleted or is expanded based on different enterprise demands on the basis of 6 kernel entities in the business entity library;The fundamental information that the entity includes deleted on the basis of 5 fundamental information according to actual demand or Expand.
- 4. a kind of application-oriented business data resource polymerization method according to claim 1, it is characterised in that:The business data resources bank of establishing includes:Unified data resource classification and coding standard are established, to each in enterprise Class data resource is combed, and establishes the business data resource including various technological achievement data and business administration data Content can be not limited to technological achievement data and business administration data in library, wherein data repository.
- 5. a kind of application-oriented business data resource polymerization method according to claim 1, it is characterised in that:It is described to establish business data resource guiding query path model:Analysis entities and entity, entity and data, data and data Between relationship, establish the incidence relation between entity and entity, entity and data, data and data, establish business data money Source guides query path model;Wherein, the relationship between entity and entity, entity and data, data and data include 1 pair 1,1 To more, multipair 1 and multi-to-multi;Wherein, guiding at least needs to include matching score value in interrogation model, the data code inputted, treat The Data Identification looked into, data query expression formula to be checked;Wherein matching score value is used to determine the matching priority of interrogation model, defeated The data code and Data Identification to be checked entered determines two associated data, and data query expression formula to be checked is used to determine such as Where data query is carried out in data, and expression formula can use the analysable query express such as SQL expression, LINQ expression formulas Formula.
- 6. a kind of application-oriented business data resource polymerization method according to claim 1, it is characterised in that:It is described to perform guiding inquiry:The keyword to be inquired is inputted, the entity of key representations is automatically identified from entity library, The data candidate item to be inquired is gone out according to guiding query path model Auto-matching, user can voluntarily select the number that need to be inquired According to.Wherein, automatically identify key representations entity can by SQL query come it is accurate determine also can by fuzzy search come It is fuzzy to determine;Wherein the score value of corresponding guiding interrogation model is added 1 by user automatically after having selected the required data inquired.
- 7. a kind of application-oriented business data resource polymerization method according to claim 1, it is characterised in that:Described According to guiding query path model Auto-matching go out the data candidate item to be inquired the specific steps are:Traversal guiding query path model library:In established business data resource guides query path model library, traversal is looked into It looks for comprising the entity representated by key word of the inquiry;It is sorted from high to low to guiding interrogation model according to score value:Will traverse out guiding interrogation model according to score value from It is high to Low to be ranked up, list the data candidate item to be inquired.
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