CN107391658A - A kind of product information management system and method based on RDF data model - Google Patents
A kind of product information management system and method based on RDF data model Download PDFInfo
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- CN107391658A CN107391658A CN201710586577.9A CN201710586577A CN107391658A CN 107391658 A CN107391658 A CN 107391658A CN 201710586577 A CN201710586577 A CN 201710586577A CN 107391658 A CN107391658 A CN 107391658A
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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
- G06F16/21—Design, administration or maintenance of databases
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- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F16/36—Creation of semantic tools, e.g. ontology or thesauri
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Abstract
The present invention relates to a kind of product information management system and method based on RDF data model, belong to semantic web technologies field.The system includes：User management, there is provided the basic access and control management of the system；Product Information Management：The various operations of product information attribute, including attribute increase, modification, inquiry, deletion etc. are provided；Order management：Propose basic function for users to use, including order generation, information modification, status inquiry etc.；Facility information：The information of relevant environment attribute in process of producing product is provided；Log recording：There is provided important operation performs record.Technical scheme provided by the invention is based on RDF data model, can simplify product and its building process of periphery relation, and the reasoning about property value is performed under the ontology rule of formulation, obtains the information outside data.
Description
Technical field
The invention belongs to semantic web technologies field, be related to a kind of product information management system based on RDF data model and
Method.
Background technology
Semantic net is considered as following latticed form, is proposed by father Di Mubainasi-Lee of WWW.Semantic web
Technology using RDF as foundation stone, it both can from text drawing-out structure data, formed RDF data, can also be by relationship type number
According to RDF data, and the use of combination body is converted into, data well define, the intelligible implication of machine is assigned.It thinks substantially
Think it is well to define the relation between the vocabulary and vocabulary in a field in a manner of unambiguously so that computer can be with
The resource gone to understand on network similar to the mode of human brain, so as to by it is a kind of it is intelligent in a manner of handle information on network.Product
Information management system is a kind of approach of enterprise internal management product information, and its important component is database, and excellent
Database is designed to the key of Product Information Management.However, attempt to be modeled these relations using relevant database
When, we represent a series of tables (customer table, product table, equipment list, operator's table etc.) of various entities firstly the need of establishing, so
Establish the contingency table of relation between each entity one by one afterwards.And after more entities and its relation is introduced, such inter-entity
Contingency table can exceed that entity table in itself, cause the storage efficiency of information to reduce.In order to build these complicated and diversified objects
Between relation, we may be referred to realize the structure of above-mentioned relation model using Semantic Web Technology.
The content of the invention
In view of this, it is an object of the invention to provide a kind of product information management system based on RDF data model and
Method, solve the problems, such as that relation structure is cumbersome, while information storage efficiency can be improved.
To reach above-mentioned purpose, the present invention provides following technical scheme：
A kind of product information management system based on RDF data model, the system include system login management module, product
Information management module, order management module, environmental unit information module, logger module, wherein：
The system login management module be based on resource description framework (Resource Description Framework,
RDF) data model structure User-ontology, function include user's login/registration, user property addition, user profile modification, user
Nullify；System access and the basic credential information used are provided；In the system login, the log-on message of user passes through encryption
Mode is stored in the chart database for supporting RDF data storage；During user logs in, it will enter with the data in diagram data
Row checking；
The Product Information Management module is based on RDF data model construction product information body, function include product addition,
Product is deleted, product attribute adds, product attribute is changed, product attribute is inquired about, product attribute is deleted, and production is provided for management user
The more New function of product information attribute and value；Wherein, the attribute information after renewal will be directly stored in RDF graph database for browsing
Device or application requests；
The order management module is based on RDF data model construction order body, for receiving subscription client browser
Or the order request that application program is submitted, and complete the storage and information updating of Order Instance data, there is provided the visitor belonging to order
Family information and affiliated product information；
The environmental unit information module is based on RDF data model construction environmental information body, for collecting and recording production
Equipment working environment in product production process；
The logger module is based on RDF data model construction daily record body, completes manager or user's important operation
Record；Wherein, important operation does two-way inquiry according to date, operator or other attributes.
Further, the system login is divided into management user and customer users；Wherein, user is managed to carry out product information
Addition and modification, customer users, which are realized, to be browsed commodity, chooses property value, completes order and perform the inquiry related to commodity.
Applied to a kind of product information management method based on RDF data model of the system, this method includes following
Step：
The subordinate relation on product and its periphery is modeled, understands for data and application service provides ontology model；Institute
Stating subordinate relation includes：The relation between the relation between relation, product and production equipment, order and client between product and order；
Product-centered relational model is built, abundant product is acquired by the joint to more bodies and reasoning
Knowledge；
Application program or browser are sent to web server asks, and the corresponding functional module in rear end is to ontology database
In body and example perform operation, both realized inquiry order and product directly related property value, further through request body push away
The existing more useful informations of haircut.
Further, methods described also includes：
RDF modelings are carried out to user data information using semantic web technologies, unified body mould is provided for user data
Type；
The domestic consumer is by client browser to specified web site, in the specification of described User-ontology model
Registration before lower completion use；
The interface that web server provides records user data up to database, and it is whether occupied that it will be detected by user name
With；If occupied, by refusal this time registration behavior；If it is unoccupied, and meet corresponding conditionses, it is accomplished to personal information and arrives
The registration of database；
The part private data of registered user is stored in RDF graph database by way of encryption, and other data pass through
Literal Literal or Uniform Resource Identifier (Uniform Resource Identifier, URI) directly deposit in number
According to storehouse；
User, which logs in, will access RDF graph database, and user name and password are verified, by then entering user circle
Face；Otherwise, return and log in again, and prompt relevant error information.
Further, methods described also includes：
RDF modelings are carried out to order data information using semantic web technologies, unified body mould is provided for order data
Type；
Order model is associated with the user profile by BelongsTo attributes；
In the case where user logs in and completes to place an order, user's order data is associated with user data information automatically,
And form example and be updated in database；
Order body and associating between User-ontology, two sides are supported using query language and data acquisition protocols SPARQL
Upward mutual inquiry.
Further, methods described also includes：
RDF modelings are carried out to product data information using semantic web technologies, unified body mould is provided for product data
Type；
Product data model is associated with sequence information by BelongsTo attributes；
Associating between product data model and sequence information, two are supported using query language and data acquisition protocols SPARQL
Mutual inquiry on individual direction.
Further, methods described also includes：
RDF modelings are carried out to production equipment information using semantic web technologies, unified sheet is provided for the production equipment of product
Body Model；
Production equipment information is associated with product data information by Use attributes；
Production equipment information and associating between product data information, use query language and data acquisition protocols SPARQL branch
Hold the mutual inquiry in both direction.
Further, the production equipment information includes device geographical location information, operating personnel's information, normative reference letter
Breath, manufacturer's information；Wherein, dynamic information will be updated in corresponding instance data on time.
Further, the attribute definition of the association is inferred attribute, under set rule, is inferred implicit between example
Information.
The beneficial effects of the present invention are：The present invention is based on RDF data model, simplifies product and its structure of periphery relation
Process；Compared with traditional relational data are built, it is not necessary to the object relationship table of complexity is established, so that development and application becomes
Must be simpler effective, developer focuses more on the application of data；Meanwhile a large amount of contacted for foundation is stored in actual database
Entity relationship scheme easily causes the redundancy of information so that storage efficiency reduces；, can be in formulation based on the reasoning of RDF property values
The reasoning about property value is performed under ontology rule, obtains the information outside database, improves the utilization rate of database.
Brief description of the drawings
In order that the purpose of the present invention, technical scheme and beneficial effect are clearer, the present invention provides drawings described below and carried out
Explanation：
Fig. 1 is Product Information Management functional structure chart；
Fig. 2 is product information and its attributed relational graph；
Fig. 3 is product information management system B/S structure charts；
Fig. 4 is information query flow chart；
Fig. 5 is that user logs in rate-determining steps.
Embodiment
Below in conjunction with accompanying drawing, the preferred embodiments of the present invention are described in detail.
As shown in figure 1, the application embodiment party tries to provide a kind of product information management system based on RDF data model, institute
Product Information Management packet is stated to contain：System login management, Product Information Management, order management, environmental unit information, daily record note
Record module.
The system login management is based on RDF data model construction user profile body, and function includes user's login/note
Volume, user property addition, user profile modification, user log off；Essential information is shown in " user " arrow definition on the right side of Fig. 2；
The Product Information Management is based on RDF data model construction product information body, and function is added including product, product
Delete；Product attribute is added, product attribute modification, product attribute inquiry, and product attribute is deleted；Product essential information such as Fig. 2 " productions
Arrow defines in product "；
The order management is based on RDF data model construction sequence information body, for receiving subscription client browser
Or the order request that application program is submitted, order essential information are shown in Fig. 2 that " order " arrow defines；
The facility environment information is based on RDF data model construction environmental information body, for collecting and record product life
Equipment working environment (humiture, air pressure) during production.Sensor using 2.4GHz radio frequency transceiving modules UZ2400 and
The gateway of STM32F103 controllers sensor network and interconnection net interconnecting, which uses, raises wound S3C2440 development boards.
Log recording is based on RDF data model construction daily record body, completes the record of manager or user's important operation.
In the present embodiment, intend above-mentioned function is realized using B/S structures, it is necessary to the equipment and software used such as
Under：
Ontology edit tool：TopBraidComposer；
Web server：Tomcat Web servers；
Programming development environment：MyEclipse；
Semantic graphic data base：AllegroGraph(AGGraph)；
Database running environment：CentOS6.0；
Hardware environment：Dawn A840-G10.
Ontology model shown in functional module shown in Fig. 1 and Fig. 2 respectively at Tomcat Web servers end and
Completed on TopBraidComposer client softwares.The instance data as caused by user will be sent to server by web and enter
Row processing；
TopBraidComposer this volume visualization structure softwares can quickly realize ontology development, be used in combination
AGGraph graphic data bases, the ontology file of establishment can be disposed；
AGGraph graphic data bases provide a variety of exploitation API, wherein the DLL based on Java --- JenaAPI,
It is fully able to support Tomcat Web server development environments on programming language.Meanwhile AGGraph is also supported based on HTTP's
Basic query and data upload.
In the present embodiment, management method includes the B/S information management structures shown in Fig. 3, and user uses browser side
Formula accesses web server, completes user's checking first；
Corresponding management of product function --- subscriber information management, the product pipe performed by choosing specific position
Reason, order management etc.；
By the web technology based on Servlet, application server termination is asked by subscription client, performs user behaviour
Make (login/registration/place an order/inquire about /)；
Build the object (Domain) and its SPARQL query statements required for user's operation；
Java DLLs --- the Jena API provided by performing AG databases to the sentence, by operation data or reality
Example data feedback (SELECT-/CONSTRUCT-/UPDATE/INSERT) is into AG graphic data bases；
Application service is packaged as required for display interface by parsing database implementing result (ResultsSet)
Domain objects return to TomcatWeb servers；
The data for needing to show are returned to by client browser by using HTML technologies.
In the present embodiment, management method uses RDF++ inference engines (primitive rule is enumerated such as table 1).Product is related
Main object and its between relation all employ the description that concept in body carries out specification, the correlation between them
More detailed concept explanation (needing to define dependency inference rule) can be obtained by reasoning so that the mutual understanding between man-machine
It is more abundant.
The RDFs fundamental inference rules of table 1 are enumerated
In table 1, a rule commonly used in reasoning is illustrated --- subclass rule and attribute transitivity rule.
In SubClassOf items, the 1st, 2 is that type is declared, i.e. classV isW subclass,W isU subclass, refer in RDF Schema
Fix, it can be deduced thatV isThis inference of u subclass.And in Transitive items, "p rdf:type owl:
TransitiveProperty " is customized to have declared a transitivity attribute ---P, so in known two realities
Example --- "vpW " andw pIn the presence of u, can be obtained using Jena inference engines "vpU " this does not deposit in itself
It is stored in the information of database.
The transitivity attribute product information reasoning example of table 2
In table 2, based on the product information ontology model shown in Fig. 2, the instance data of one specific product of setting：Product 1
Belong to order 1, order 1 belongs to client 1；Product 1 uses the first process, and the first process has used production equipment 1；Declare simultaneously
BelongsTo and use is transitivity attribute.The ownership client that product 1 can be obtained through reasoning is client 1, and product 1 uses
Production equipment 1, in table 2 " the reasoning results " item is shown.
In the present embodiment, when user is logged in using web and accesses resource, ID will be with number with code data information
Matching checking is carried out according to the instance data based on User-ontology stored in storehouse, checking flow is as shown in Figure 4.
1) after user inputs ID and password, whether can meet that the specification of literal in body checks to its ID first；
2) check that the form by ciphertext is passed to corresponding user au-thentication procedure by the password passed through；
3) proving program performs SELECT by constructing SPARQL query statements into AG databases；
If 4) returning result performed is false, authentication failed is represented, will be returned to login interface；If it is returned as
True, jump to main interface (MainFrame).
In the present embodiment, include the basic procedure of user's inquiry product information of Fig. 5 displayings, enter in given inquiry
Under mouthful：
1) by the ID of input product, input checking is carried out to it first, the input for not meeting specification is filtered；
2) legal ID inputs will be passed to background application；
3) background application calls JenaAPI to perform database manipulation using the ID construction inquiry SPARQL sentences of input；
4) according to the result of JenaAPI execution, object Domain decorations are carried out to the product data for needing loopback to show；
5) result is shown.
Finally illustrate, preferred embodiment above is merely illustrative of the technical solution of the present invention and unrestricted, although logical
Cross above preferred embodiment the present invention is described in detail, it is to be understood by those skilled in the art that can be
Various changes are made to it in form and in details, without departing from claims of the present invention limited range.
Claims (9)
- A kind of 1. product information management system based on RDF data model, it is characterised in that：The system includes system login management Module, Product Information Management module, order management module, environmental unit information module, logger module, wherein：The system login management module is based on resource description framework (Resource Description Framework, RDF) Data model builds User-ontology, and function includes user's login/registration, user property addition, user profile modification, user's note Pin；System access and the basic credential information used are provided；In the system login, the log-on message of user passes through encryption side Formula is stored in the chart database for supporting RDF data storage；During user logs in, it will be carried out with the data in diagram data Checking；The Product Information Management module is based on RDF data model construction product information body, and function includes product addition, product Deletion, product attribute addition, product attribute modification, product attribute inquiry, product attribute are deleted, and product letter is provided to manage user Cease attribute and the more New function of value；Wherein, the attribute information after renewal will be directly stored in RDF graph database for browser or Person's application requests；The order management module is based on RDF data model construction order body, for receiving subscription client browser or answering The order request submitted with program, and complete the storage and information updating of Order Instance data, there is provided client's letter belonging to order Breath and affiliated product information；The environmental unit information module is based on RDF data model construction environmental information body, for collecting and record product life Equipment working environment during production；The logger module is based on RDF data model construction daily record body, completes the note of manager or user's important operation Record；Wherein, important operation does two-way inquiry according to date, operator or other attributes.
- A kind of 2. product information management system based on RDF data model according to claim 1, it is characterised in that：Institute State system login and be divided into management user and customer users；Wherein, management user is added and changed to product information, Ke Huyong Family, which is realized, to be browsed commodity, chooses property value, completes order and perform the inquiry related to commodity.
- 3. it is applied to a kind of product information management method based on RDF data model of system as claimed in claim 1 or 2, its It is characterised by：This method comprises the following steps：The subordinate relation on product and its periphery is modeled, understands for data and application service provides ontology model；It is described from Category relation includes：The relation between the relation between relation, product and production equipment, order and client between product and order；Product-centered relational model is built, acquiring abundant product with reasoning by the joint to more bodies knows Know；Application program or browser are sent to web server asks, and the corresponding functional module in rear end is in ontology database Body and example perform operation, have both realized the directly related property value of inquiry order and product, further through request ontology inference hair Now more useful informations.
- A kind of 4. product information management method based on RDF data model according to claim 3, it is characterised in that：Institute Stating method also includes：RDF modelings are carried out to user data information using semantic web technologies, unified ontology model is provided for user data；The domestic consumer is complete under the specification of described User-ontology model by client browser to specified web site Into the registration before use；The interface that web server provides records user data up to database, and it is whether occupied that it will be detected by user name；Such as Fruit is occupied, by refusal this time registration behavior；If it is unoccupied, and meet corresponding conditionses, personal information is accomplished to data The registration in storehouse；The part private data of registered user is stored in RDF graph database by way of encryption, and other data pass through literal Amount Literal or Uniform Resource Identifier (Uniform Resource Identifier, URI) directly deposit in database；User, which logs in, will access RDF graph database, and user name and password are verified, by then entering user interface； Otherwise, return and log in again, and prompt relevant error information.
- A kind of 5. product information management method based on RDF data model according to claim 3, it is characterised in that：Institute Stating method also includes：RDF modelings are carried out to order data information using semantic web technologies, unified ontology model is provided for order data；Order model is associated with the user profile by BelongsTo attributes；In the case where user logs in and completes to place an order, user's order data is associated with user data information automatically, and shape It is updated into example in database；Order body and associating between User-ontology, supported using query language and data acquisition protocols SPARQL in both direction Mutual inquiry.
- A kind of 6. product information management method based on RDF data model according to claim 3, it is characterised in that：Institute Stating method also includes：RDF modelings are carried out to product data information using semantic web technologies, unified ontology model is provided for product data；Product data model is associated with sequence information by BelongsTo attributes；Associating between product data model and sequence information, two sides are supported using query language and data acquisition protocols SPARQL Upward mutual inquiry.
- A kind of 7. product information management method based on RDF data model according to claim 3, it is characterised in that：Institute Stating method also includes：RDF modelings are carried out to production equipment information using semantic web technologies, unified body mould is provided for the production equipment of product Type；Production equipment information is associated with product data information by Use attributes；Production equipment information and associating between product data information, two are supported using query language and data acquisition protocols SPARQL Mutual inquiry on individual direction.
- A kind of 8. product information management method based on RDF data model according to claim 7, it is characterised in that：Institute Stating production equipment information includes device geographical location information, operating personnel's information, normative reference information, manufacturer's information；Wherein, Dynamic information will be updated in corresponding instance data on time.
- 9. a kind of product information management method based on RDF data model according to any one of claim 5-7, it is special Sign is：The attribute definition of the association is inferred attribute, under set rule, infers the implicit information between example.
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| CN112685482A (en) * | 2019-10-17 | 2021-04-20 | Mhp管理和It咨询有限公司 | Manufacturing control system and method for manufacturing control |
| CN112487133A (en) * | 2020-11-25 | 2021-03-12 | 国网辽宁省电力有限公司信息通信分公司 | Equipment discovery and identification method and system for power grid |
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Application publication date: 20171124 |