CN103631882B - Semantization service generation system and method based on graph mining technique - Google Patents
Semantization service generation system and method based on graph mining technique Download PDFInfo
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Abstract
The invention provides a semantization service generation system and method based on a graph mining technique. The system is built based on a traditional server and comprises multiple techniques including natural language participles, graph mining, clustering, semantization analysis, service procedure generation and service execution. After a user collects and analyzes application requirements with a natural language or text description, key words are naturally extracted, service requirements are analyzed, usable services and combination modes thereof are mined in a built Web service tree graph, and ultimately, in a system integration operation environment, the services are automatically carried out and execution results are fed back. The system and method have the advantages that operations are directly carried out on the requirements of the user for the natural language or the text description, semantization features are emphasized, the service execution environment is integrated, the service operation results are directly obtained, use habits and requirements of the user are met, widening of a user range is facilitated, automatic operation and maintenance of the system are achieved, and the system and method are suitable for the distributive execution environment.
Description
Technical field
The present invention relates to a kind of semantization web service generation system and method based on figure digging technology, belong to computer
Technical field with network.
Background technology
Web services (web service) are a kind of SOA soa (service-oriented
Architecture technology), provides various application services by the web protocol of standard it is therefore an objective to ensure answering of different platform
Can be interoperated with service.Web services are that a kind of have self-contained, self-described, modular nature and new based on internet
Type distributed computing platform.According to Simple Object Access Protocol between master-slave architecture (client-server) in web services
Soap (simple object access protocol) transmits xml format messages, in web services, provides one by server
Individual machine-readable description (being typically based on wsdl description language), to recognize the web services that server is provided.Due to each
Web services are often used for completing individual event or single task, can not cater to the multiple demand of user, therefore how will be multiple
Web services are combined executing the focus having become as academia research.
In prior art, relevant web services combination technique problem mainly has following three kinds of implementations:
The first prior art: document " study on semantic web service composition based
On petri net " (publish in journal of hebei university of engineering natural science
Edition, 2009) achieve a kind of web services generating mode based on petri web frame: by petri net to semantic hierarchies
On web services combination be described and model, and petri web form element is added in web services, then right
Petri pessimistic concurrency control is described with xml, makes it to apply in practice.Finally, give the web services group based on petri net
Close application example.
This technology is to be realized based on the structure of petri net, and form is medelling, the input and output series connection of procedure, and
Thought by petri net forms the mode of flow chart.This model is more used for checking and the analysis of web services combination,
And it is not suitable for web combination construction process from scratch.
Second prior art: document " web service composition algorithm based on qos
Relation " (publishing in computer engineering, vol.37, no.18,2011) propose a kind of web based on qos association
Service creation method, reflects the relatedness servicing between class in web services anabolic process and client to service nonfunctional space
Preference, and different service quality qos attribute in service invocation procedure.During evaluating Services Composition quality degree, examine
Consider service incidence relation on qos attribute for the class, unified specification and comprehensive assessment are carried out to qos data.It is demonstrated experimentally that the party
Method has preferable execution efficiency and stability.
This technical method need by service qos information as web services combine referring especially to object.Qos is net
The mass parameter of network service, its parameter of measurement is the transmission bandwidth of service network, transfer delay, data packetloss rate etc..Therefore should
Scheme, more suitable for determining after path combination, in function identical web services, is entered according to the service of qos Attributions selection optimization
Row combination.For flow scheme design and determination, help less.
The third prior art: document " an approach to constructing web service workflow
Based on business spanning graph " (publish in journal of software, vol.18, no.8, august
2007) the most close with method with apparatus of the present invention, it proposes a kind of construction of the web services workflow based on business spanning graph
Model.Same or analogous for function Services Aggregation is become a class set of service by this model, and every class set of service adopts spanning tree
Mode is organized, and forms business spanning graph according to the industry logical relation of workflow.Meanwhile, in the position redefining particle cluster algorithm
Put, on the basis of speed, plus/minus method and multiplication, in conjunction with the intersection in genetic algorithm and mutation operation.This model can be effectively
The web services change physically of shielding composition workflow and difference, are preferably combined with the web services money in internet
Source, is suitable for the application requirement of virtual computation environmental.
The web services of the service generation in figure of this technology generate building method, and the service flow diagram being used is a kind of half
Automatic service combination mode: first have to be set up the workflow service logic mould of suitable concrete application demand according to demand by user
Type.For the automatization of web services generates application, the service logic model of workflow should be transparent for user,
And the restricted application of the method, is only applicable to the user possessing corresponding rudimentary knowledge.And for domestic consumer,
Demand on its simply natural language that can describe is it is impossible to also will not remove constitutive logic model.
In a word, above-mentioned prior art is unable to solve the relevant issues of web services generation technique well.
Content of the invention
In view of this, it is an object of the invention to provide a kind of semantization web service generation system based on figure digging technology
And method, for solving following multiple technical problems: 1, the demand of the natural language for user or word description provides automatization
Service creation pattern support, realize extracting keyword from natural language or word, and then decompose demand, then held by demand
Row service search, finally automatically generates the process of web services.2nd, the input of this system is sensu lato natural language or word,
Therefore it is applied to various input interfaces, the network terminal and mobile terminal can be carried out being adapted to.3rd, the service generation note of web services
Weight natural language or the semantization characteristic of word, rather than single mating by the input and output in service definition.4th, in clothes
After business generates, add the direct executable portion of service, the feedback obtaining is not single Services Composition flow process, but directly holds
The feedback of row result.
In order to achieve the above object, the invention provides a kind of semantization web service generation system based on figure digging technology
System it is characterised in that: this system is built-up based on traditional server, system using includes natural language participle, figure excavation,
Cluster, the multinomial technology of semantization analysis, service procedure metaplasia one-tenth and service execution, are retouched using natural language or word to user
After the application demand stated is collected and analyzes, automatically extract key word and parse its demand for services, then the web services in construction
In figure excavates available service and combinations thereof mode, finally in this system integration running environment, completes automatically holding of service
OK, and feed back return implementing result；This system is provided with following five composition components: natural language collects component, natural language divides
Destructed part, network service excavate organization component, network service generates component and network service execution component；Wherein:
Natural language collects component, for having the network terminal of general-purpose interface and development function, as the input of this system
End, for obtaining the input information of user's natural language or word: include by webpage, ARIXTRA or ios system client software
The natural language of formatted field and unformatted or word, with the requirement description collected with obtain user, and by language or literary composition
Word passes to natural language analysis component；This natural language is collected component and can be adapted to multiple terminal, to meet the difference of user
Demand, and provide exploitation and expansion platform for other developers；
Natural language analysis component, as the front end directly accepting user profile, is responsible for the natural language to user input
Or the demand of word description executes robotic analysis and learns, know the intention of user input information, and then analyze user's request,
Generating component for network service provides machine recognizable formatted message；It is sequentially with: data base is connected with part-of-speech tagging
Part-of-speech tagging module, long sentence logic cutting module, keyword abstraction module, synonymicon mapping block and information model take out
Delivery block, and build module with the sentence part of speech semantic information of aftermentioned four module interactive information respectively；
Network service excavates organization component, is responsible for the technology of the reptile, index and cluster by vertical search field, adopts
The tissue thinking of figure digging technology, the various available service that user is used on network are captured, excavated and are collected, and
After carrying out the preliminary analyses of system, it is configured to forest formula service organization tree graph, and is stored in service database, for network service
Generate component to use；It is provided with: module, graphic operation are built in network service reptile module, network service cluster module, semantization service
Interface module and service database；
Network service generates component, be responsible for user's request made accordingly, timely service identify and service creation, and shape
Become a set of feasible service plan: its input excavates organization component respectively from natural language analysis component and network service: by
Natural language analysis component obtains the structurized word demand analyses judging including matching result and the meaning of a word, the part of speech of key word
As a result, organization component is excavated by network service and obtain unified graphic operation interface and the service database that can inquire about；Again to carrying
The User Format demand information taking carries out machine and judges and semantization analysis, is formed and has targetedly service-seeking demand,
And execute associative operation, generate the network service of corresponding form；It is provided with: the input parsing module being linked in sequence, rule searching are given birth to
Become module, graphic operation module, information extraction modules and BPEL bpel (business process
Execution language) service template generation module；
Network service execution component, the applied environment designing for the open principle of application, responsible utilization includes bpel form
The network service generated with the performing environment of all support bpel format adaptation execution adaptation, and execute this service entirety side
Case；And the occupation mode with reference to user and form, implementing result is fed back in time user；This component as the output of system,
Also corresponding operating can be completed by other components meeting output interface standard and return implementing result.
In order to achieve the above object, present invention also offers a kind of semantization web industry based on figure digging technology for present invention
The method of work of business generation system it is characterised in that: methods described includes following operative step:
(1) system by natural language collect component, i.e. terminal using all kinds of forms catcher receive adopt from user
With the application demand of natural-sounding or word input, and collected after component processes to user input by natural language, send
To natural language analysis component；
(2) demand that natural language analysis component is collected to natural language after component process carries out machine recognition process, from
The structurized web network application demand of dynamic formation, and it is transferred to network service generation component；
(3) network service excavates thought and the technology that organization component utilizes search engine, after the service in crawl network, will
Web services data is stored in service database；Service cluster module is entered to each scattered web services of crawl using clustering algorithm
The information cluster based on content for the row is processed, and extracts key word as the foundation sorted out in each cluster block, then extracts key
Word, constitutes cluster data and is stored in service database；Semantization service builds module according to the original service in service database
Information and cluster data, the tissue thought excavated by figure, structured organization is carried out to web services, sets up the service of forest formula
Tissue tree graph；Simultaneously according to system needs, after adding the service that other are self-defining, can be recognized by the system, by service organization tree
Figure is permanently stored in service database；And generate the unified interface using graphic operation for the component offer to network service；
(4) network service generates component and receives the analysis result being derived from natural language analysis component, and digs with network service
Pick organization component cooperative cooperating, carries out service search and tissue, forms a set of overall service execution scheme, that is, generate bpel lattice
The network service tissue result of formula；
(5) network service executes the web services side of execution that component receives the bpel form generating component from network service
Case, and will run in the bpel execution container in service processing node for the bpel file distributing of this web services, and according to user
Occupation mode and form, final implementing result is fed back to user.
The present invention is based on the think of that the semantization web service generation system and method for figure digging technology are based on figure digging technology
Think, with technology such as cluster, Interface Matching, semantization analysis, service execution, web services are analyzed, to user using certainly
So the application demand of language or word description carries out parsing and corresponding machine learning, is dug by service organization's tree graph structure and figure
Pick algorithm is combined to network english teaching, finally completes automatic execution the returning result servicing in performing environment.Its
Key technology includes:
The present invention is the service generation system being processed based on the application demand that natural language or word directly describe, its
Service generation process had both been independent of the understanding to systems technology for the user, was also independent of the implementation of user terminal, but directly
The daily behavior being close to the users and the expression way of custom, shield the dependency to search word structure for the usual search engine.
Present system adopts a kind of storage organization of the service organization's tree graph based on forest formula, introduces trunk node, branch
The organizational form that dry contact and leaf (service) node coexist, shields and is sentenced by qos information or input/output structure merely
Fixed one-sidedness, starts with from semantization characteristic, in conjunction with input/output argument coupling and the feature such as qos information, construct complete whole
The web services combination of body application demand.
The present invention is proposed a kind of combination network service and generates the solution being integrated with execution, focuses only on traditional
The research in service generation direction is different.The present invention is additionally provided with performing environment, can automatically execute whole operation flow process, and
Direct feedback operation result, shields web services and the internal procedure of combination execution to user, more friendly to user.
Compared with immediate prior art, the advantage of system and method for the present invention is:
Compared with the first prior art, the present invention proposes a kind of web services based on tree graph organizational structure and generates
Method, is directed not only to the input and output workflow in flow process, more focuses on the construction of semantization characteristic.Cut industry from semantic angle
Business tissue and generating process, more press close to and meet the demand of user.
Compared with second prior art, the present invention not merely with service qos alternatively with reference to it is also contemplated that service language
Grading information is commented in justice, user feedback, and selection standard is more comprehensively.It has been simultaneously introduced service execution environment part, completed web business
After construction, just automatically execute it.User can be not directly contacted with service qos information, and only focuses on implementing result；Be conducive to fitting
Use wider customer group, be also applied for distributed performing environment.
Compared with the third prior art, present system is the direct demand to user's natural language or word description
Operated.Not only avoid user the craft of workflow is constructed, other realize technology also to shield user's directly contact,
It is applied to multiple terminal and access form.Meanwhile, it is integrated with service execution environment part, shield user to internal web services
The contact of generating process, directly obtains service operation result.So both having met domestic consumer adopts natural language or word defeated
Enter its application demand and the result demand directly obtaining natural language or word description, also achieve the integrated automation fortune of system
Row and maintenance.
Brief description
Fig. 1 is the semantization web service generation system structure composition schematic diagram based on figure digging technology for the present invention.
Fig. 2 is the natural language analysis element structure composition schematic diagram in present system.
Fig. 3 is that the network service in present system excavates organization component structure composition schematic diagram.
Fig. 4 is the service organization's tree graph structure composition schematic diagram in present system.
Fig. 5 is that the network service in present system generates element structure composition schematic diagram.
Fig. 6 is the service generation sequential chart based on the semantization web service generation system of figure digging technology for the present invention.
Fig. 7 is the operation based on the semantization web service generation system generative semantics business of figure digging technology for the present invention
Flow chart of steps.
Specific embodiment
For making the object, technical solutions and advantages of the present invention clearer, below in conjunction with the accompanying drawings the present invention is made further
Detailed description.
The semantization web service generation system based on figure digging technology for the present invention is built-up based on traditional server
, system is multinomial using natural language participle, figure excavation, cluster, semantization analysis, service procedure metaplasia one-tenth and service execution etc.
Technology, after user is collected and is analyzed using the application demand of natural language or word input, automatically extracts key word simultaneously
Parse its demand for services, then excavate available service and combinations thereof mode in the web services in figure constructing, finally in this system
In integrated operation environment, complete the automatic execution servicing, and feed back return implementing result.
Referring to Fig. 1, introduce five composition components of this system setting: natural language collects component, natural language analysis structure
Network service after part, network service excavate organization component, network service generation component and generate network service executes component.This
The innovation concentrated reflection natural language analysis component of invention, network service excavate organization component and network service generates component.System
After natural language in system framework is collected component and generated, service execution component is then with reference to unitized Interface design, can be by any
It is suitable for the part of interface or device replaces it.Wherein:
A () natural language collects component is the network terminal with general-purpose interface and development function, defeated as this system
Enter end, for obtaining the input information of user's natural language or word: bag by webpage, ARIXTRA or ios system client software
Include natural language or the word of formatted field and unformatted, with the application demand collected with obtain user's description, and by language
Speech or word pass to natural language analysis component.This natural language is collected component and can be adapted to multiple terminal, to meet user
Different demands, and for other developers provide exploitation and expansion platform.
B () natural language analysis component, as the front end directly accepting user profile, is responsible for the natural language to user input
The robotic analysis of application demand execution of speech or word description and study, know the intention of user input information, and then analysis is used
The each side demand at family, generating component for network service provides machine recognizable formatted message.
Referring to Fig. 2, introduce seven comprising modules of natural language analysis component order setting: with part-of-speech tagging data base even
Part-of-speech tagging module, long sentence logic cutting module, keyword abstraction module, synonymicon mapping block and the information model connecing
Abstraction module, and build module with the sentence part of speech semantic information of aftermentioned four module interactive information respectively.These module work(
Can be as follows:
Part-of-speech tagging module: be responsible for the information according to storage in part-of-speech tagging data base, language or word are utilized to user
After each word marks its part of speech and connotation in the application demand of description, pass to long sentence logic cutting module.
Part-of-speech tagging data base: for storing each word, word and its multiple different part of speech and connotation, so that according to being located at
The word of diverse location, word, and give the word of diverse location, the current difference of word with reference to the enterprise schema of context and natural sentence
Part of speech and connotation (for example: the noun connotation of English word " place " is " place ", verb connotation is " placement ").Close extracting
During keyword, in part-of-speech tagging data base, also inquire about its corresponding connotation.The type of organization of each natural sentence includes subject, predicate
With object etc., carry different parts of speech positioned at the word of diverse location, for example: be noun in subject, be verb in predicate.System
System can judge each word in sentence, the current part of speech of word, then take out in conjunction with the enterprise schema of context and natural sentence
Take key word, and inquire about its corresponding meaning in part-of-speech tagging data base.
Long sentence logic cutting module: be responsible for carrying out machine judgement to the overall architecture completing the sentence after part-of-speech tagging, press
According to SVO structure extraction main clause and subordinate clause, and carry out long sentence logic cutting, cutting is multiple SVO structures, to determine each
The part of speech of word and connotation, and by connotation information transmission to keyword abstraction module, provide convenient bar for later extracting keywords
Part.
Keyword abstraction module: the configuration file providing according to different field and user is provided, chooses wherein different passes
Keyword；Because this system is particularly well-suited to the operational requirements in vertical field, that is, towards the application of one or more specific areas, use
Family has clear and definite field to divide, and wishes that system output result meets its suitable application area.Therefore the key word selected by this module
For the emphasis word of this application, word, and there is the clear and definite connotation in this field.
Synonymicon mapping block: be responsible for the key word chosen according to keyword abstraction module, extract from information model
Extract matched or related word in module, carry out subsequent treatment so that sentence part of speech semantic information builds module；
Sentence part of speech semantic information builds module: for receiving long sentence logic cutting, keyword abstraction and synonymicon
Map the result of totally three modules, judge each word, the part of speech of word and connotation, and its position in sentence, respectively
Calculate its weight, to judge according to weight whether the word in user's natural language or the demand of word description is key word,
Carry out equipment analysis so that information model abstraction module extracts again；
Information model abstraction module: be responsible for receiving synonymicon mapping block and sentence part of speech semantic information builds module
The key word chosen and result, using each key word and with reference to its word connotation and information model, generating machine can know
Other formatting structure information model, then export to network service generation component, so that the result generating is with application demand more
Coupling, it is to avoid produce the unwanted junk information of user.
C () network service excavates organization component, be responsible for the technology of the reptile, index and cluster by vertical search field,
Using the tissue thinking of figure digging technology, the various available service that user is used on network are captured, excavated and are collected,
And after the preliminary analyses carrying out system, be configured to forest formula service organization tree graph, and be stored in service database, for network
Service creation component uses.It is provided with (shown in Figure 3): network service reptile module, network service cluster module, semantization clothes
Module, graphic operation interface module and service database are built in business.These functions of modules are as follows:
Network service reptile module: for being captured to web services present in network using web crawlers and being collected,
And the raw information of web services is stored in service database, for subsequent module for processing.
Network service cluster module: for extracting original service information from service database, and to network service reptile
Each scattered web services of module crawl carry out semantization information retrieval, then after carrying out clustering processing for semantic information, general
After the service of semantic similarity is polymerized to a class, therefrom extract key word, constitute cluster data；Then cluster data is stored in service
In data base.
Module is built in semantization service: for according to the original service information in service database and cluster data, by
Web services are carried out structured organization, thus web services are arranged according to the structure of tree graph by the tissue thought that figure excavates
And classification, form service organization's tree graph of forest formula, then this service organization's tree graph is stored in service database, for network clothes
Business generates component and uses；
Graphic operation interface module: for the unified interface providing for standard operation service database, for network service
Generate component and use service database.
Service database: for storing the file data in this system, comprising: net is utilized by network service reptile module
Network reptile is directed to the service document of the web services feature crawl on the Internet, and network service cluster module is from network service reptile
The service document of module crawl extracts semantization information and carries out the cluster data of storage after clustering processing；And semantization clothes
Service organization's tree graph of the forest formula that module is set up is built in business according to semantization information and the figure thought of web services.
Referring to Fig. 4, introduce the structure composition of service organization's tree graph of forest formula: using semantization characteristic as guiding, in clothes
The subtree formation of multiple different field and different range is extracted in business data base.This service organization's tree graph is stored in the clothes of system
Business data base, generates component for network service and uses；It is sequentially with three kinds of nodes in each service organization's tree graph: trunk node,
Branch node and leaf node, wherein trunk node and branch node belong to conceptual node, and the semanteme being abstract of representative is general
Read.Leaf node is specific web services node, and each leaf node represents unique web services.Leaf node root
It is branch node (representing the polymerization concept of a service cluster), between each web services node and its branch node of being belonged to
It is provided with a undirected side, represent the branch node that this service belongs to this polymerization concept.Each leaf node connect one or
Multiple branch nodes, each branch node also can comprise one or more service nodes.Branch node root is to connect multiple branches
The trunk node of dry contact, as the root node of higher level abstract conception in this tree graph, each trunk node connects one or many
Individual branch node, also can be directly connected to leaf node, show that the web services that this leaf represents directly belong to this trunk semantically
Node.Extract the subtree of multiple different field, different range from service database, just constitute this service organization of forest formula
Tree graph, and be stored in the service database of system, generate component for network service and use.Different from prior art, this service
Tissue tree graph is using the semantization characteristic of web services as guiding, and introduces conceptual node, and with specific web services altogether
It is stored in service organization's tree graph.
D () network service generates component, responsible user's request is made accordingly, timely services identification and service organization's life
Become, and form a set of feasible service plan: its input excavates tissue respectively from natural language analysis component and network service
Component: obtained the structurized word judging including matching result and the meaning of a word, the part of speech of key word by natural language analysis component
Demand analyses result, excavates organization component by network service and obtains unified graphic operation interface and the service data that can inquire about
Storehouse；Again the User Format demand information extracting is carried out with machine judgement and semantization analysis, formed and have and targetedly service
Query demand, and execute associative operation, generate the network service of corresponding form.Its structure composition is as shown in figure 5, be provided with: sequentially
Input parsing module, rule searching generation module, graphic operation module, information extraction modules and the BPEL connecting
Bpel (business process execution language) service template generation module；Modules function declaration is such as
Under:
Graphic operation module is inquired about using the service database that network service excavates organization component, inquires about according to corresponding
Rule, filters querying condition, and the web services inquiring information is carried out respective organization, give information extraction modules.Information carries
Delivery block receives after the web services information of graphic operation module, and service, operation domain in web information is carried out
Coupling and screening, available interface message is given bpel service template generation module, forms the structuring execution of bpel form
Unit, is supplied to network service execution component.
Input parsing module: for sentencing to the matching result of the inclusion key word from natural language analysis component and the meaning of a word
Disconnected structurized word demand is analyzed processing, then excavates, from network service, the information on services that tissue part obtains inquiring about
After database information, send into rule searching generation module together；
Rule searching generation module: for semantization is carried out to the information in User Format demand according to service database
Analysis and machine judge, and on the basis of the demand that user whether there is certain aspect, delete the use that wherein can not be adopted by machine
Family demand, build have targetedly, closer to user's request each search request (or routing iinformation), because of routing iinformation
Represent handling process in broad sense, and be related to the condition of service data each node of in figure and route, therefore referred to as route letter
Breath, to carry out omnibearing extraction and storage to user's request.It is for the application of vertical field because network service generates component
Service is provided, and analyzes the formatting demand of user according to the usual demand in vertical field: be first general to user's request and field
Thought is mated, then judges whether user has the demand of concrete concept.For example for tourist service field, can be according to general in field
Read the formatting demand that (place, time, travel mode etc.) analyzes user, judge user whether to tourist destination, travel time
With particular requirement is had on mode of tourism, thus formed for Concept of Tourism search request.Rule searching generation module is according to master
Branch node under passive node, to judge which search request machine can process, to extract corresponding information, passes to graphic operation
Module；And search request information is analyzed, obtain the weights of each search request, constitute each basic search request.
This search request extracts from user's request, the description method of the user's request of suitable machine identification and operation, clearly
Point out to need the weights of the concept and corresponding concepts searched for during graph search；Basic search request is directly to apply
Inquiry operation in graphic operation module.Then, the service database just excavating organization component from network service is inquired about, and will
Query Result carries out respective organization, forms the fabric interface of bpel form, is supplied to the operation ring of any support bpel form
Border.
Graphic operation module: be responsible for the conventional requirement according to vertical field, the formatting demand of analysis user, comparing user needs
The matching degree of summation field concept, judges whether user's request has clear and definite concept, to form accordingly clearly search request
After description, then the service database excavating organization component from network service is inquired about, and Query Result is organized: according to
The search request information of configuration, from the beginning of the coupling of trunk node, successively travels through and screens each branch node and leaf node；
And tree graph is organized according to weights search service, when same branch node has multiple similar functions and semantic web services, then
Compare different leafy nodes, i.e. the user feedback scoring of concrete web services and qos score value, extraction and configuration wherein score value are relatively
High leaf node.
Information extraction modules: be responsible for the return information according to modules, find the bag of network service reptile module crawl
Include wsdl file and the service raw information of other forms mark file is parsed, extracted according to semantization coupling wherein available
And the operation operation information list of the web services mating.
Bpel service template generation module: be responsible for the operation operation information list obtaining according to information extraction modules
Type type of inquiry use, the information of network address url, construct the bpel flow process deployment literary composition being capable of automatic running in performing environment
Part.
The execution component of (e) network service, the applied environment designing for the open principle of application, responsible utilization includes bpel
The network integrity service scheme that the performing environment execution adaptation of form and all support bpel format adaptation generates；And combine user
Occupation mode and form, implementing result is fed back in time user；This component, also can be defeated by meeting used as the output of system
Other components of outgoing interface standard complete corresponding operating and return implementing result.
Referring to Fig. 6 and Fig. 7, introduce the work side based on the semantization web service generation system of figure digging technology for the present invention
Following five concrete operation steps of method:
Step 1, system is by natural language collection component, i.e. terminal adopts the catcher of all kinds of forms to receive from user
Using the application demand of natural-sounding or word input, and collected after component processes to user input by natural language, send out
Deliver to natural language analysis component.
Step 2, natural language analysis component is collected the demand after component is processed and is carried out machine recognition process to natural language,
Automatically form structurized web network application demand, and be transferred to network service and generate component.
This step 2 includes following operation content: the reception of natural language analysis component collects oneself of component from natural language
So after the application demand of language or word description, part-of-speech tagging module by the existing information in part-of-speech tagging service database,
Part-of-speech tagging is carried out to each vocabulary in application demand.The overall architecture of long sentence logic cutting module distich carries out machine and sentences
Disconnected, according to the application of the domain requirement setting, build the structure of SVO, and extract main clause and subordinate clause；Keyword abstraction module
Also the key word in this field is extracted according to this setting application.Synonymicon mapping block extract with Keywords matching or
Related word, and calculate its weight.Information model abstraction module, by with reference to the connotation of each word above-mentioned and information model, generates
After formatting structure, export and generate component to network service.
Step 3, network service excavates thought and the technology that organization component utilizes search engine, the service in crawl network
Afterwards, web services data is stored in service database.Service cluster module utilizes clustering algorithm each scattered web to crawl
The information cluster that service is carried out based on content is processed, and extracts key word as the foundation sorted out in each cluster block, then carries
Take key word, constitute cluster data and be stored in service database.Semantization service builds module according to former in service database
Beginning information on services and cluster data, the tissue thought excavated by figure, structured organization is carried out to web services, sets up forest formula
Service organization's tree graph；Simultaneously according to system needs, after adding the service that other are self-defining, can be recognized by the system, will service
Tissue tree graph is permanently stored in service database.These service organization's figures are created when starting, and the later stage can at any time more
Newly.Finally, generating component to network service provides the unified interface using graphic operation.
Step 4, network service generates component and receives the analysis result being derived from natural language analysis component, and and network service
Excavate organization component cooperative cooperating, the lookup being serviced and tissue, form a set of overall service execution scheme, that is, generate
The network service tissue result of bpel form.
This step 4 includes following operation content:
(41) input parsing module is analyzed to the formatting demand from natural language analysis component processing.
(42), on the basis of rule searching generation module whether there is the demand of certain aspect according to user, deletion wherein machine is not
The user's request that can adopt, builds each search request closer to user's request content, to carry out entirely to user's request
The extraction in orientation and storage.According to the branch node under trunk node, rule searching generation module judges that machine can process user
Which search request, to extract corresponding Query Information, search request is analyzed simultaneously, obtains each search request
Weights, constitute each basic search request.
(43) graphic operation module, according to each basic search request of configuration, starts to mate from trunk node, successively time
Go through and screen each branch node and leaf node；And tree graph is organized according to weights search service, can in same branch node
When having multiple similar functions and semantic web services, more different leafy nodes, i.e. the user of concrete web services anti-
Feedback scoring and qos score value, extract and configure wherein k higher leaf node of score value and return.
(44) information extraction modules are according to return information, find the crawl of network service reptile module include use xml language
The web services of description and wsdl (the web services description illustrating how to communicate with web services with interface message
Language) the service raw information of file and other forms mark file is parsed, and extracts it further according to semantization coupling
In the available and operation operation information list of web services that mates, the type using further according to operation inquiry
The information such as type, network address url, construct in performing environment can automatic running bpel flow process deployment file.
Step 5, network service executes the web services execution that component receives the bpel form generating component from network service
Scheme, and by the bpel file distributing of this web services in service processing node bpel execution container in run, and according to
The occupation mode at family and form, final implementing result is fed back to user.Any bpel form supported by network service execution component
Performing environment be adapted to.
Inventions have been the test of multiple embodiment, and test is successful it is achieved that goal of the invention, also illustrates
The structure composition of present system and its method of work are all feasible.
The foregoing is only presently preferred embodiments of the present invention, not in order to limit the present invention, all essences in the present invention
Within god and principle, any modification, equivalent substitution and improvement done etc., should be included within the scope of protection of the invention.
Claims (8)
1. a kind of semantization web service generation system based on figure digging technology it is characterised in that: this system be based on tradition clothes
Business device built-up, system using includes natural language participle, figure excavate, cluster, semantization analysis, service procedure metaplasia one-tenth and
The multinomial technology of service execution, after user is collected and is analyzed using the application demand of natural language or word description, from
Dynamic extraction key word simultaneously parses its demand for services, then excavates available service and combinations thereof side in the web services in figure constructing
Formula, finally in this system integration running environment, completes the automatic execution servicing, and feeds back return implementing result；This system sets
Form component by following five: natural language collects component, natural language analysis component, network service excavation organization component, net
Network service execution component after network service creation component and network service generation；Wherein:
Natural language collects component, for having the network terminal of general-purpose interface and development function, as the input of this system, uses
In the input information obtaining user's natural language or word by webpage, ARIXTRA or ios system client software: include formatting
The natural language of field and unformatted or word, with the requirement description collected with obtain user, and language or word are transmitted
To natural language analysis component；This natural language is collected component and can be adapted to multiple terminal, to meet the different demands of user, and
There is provided exploitation and expansion platform for other developers；
Natural language analysis component, as the front end directly accepting user profile, is responsible for the natural language to user input or literary composition
The robotic analysis of demand execution of WD and study, know the intention of user input information, and then analyze user's request, be net
Network service creation component provides machine recognizable formatted message；It is sequentially with: the word being connected with part-of-speech tagging data base
Property labeling module, long sentence logic cutting module, keyword abstraction module, synonymicon mapping block and information model extract mould
Block, and build module with the sentence part of speech semantic information of aftermentioned four module interactive information respectively；
Network service excavates organization component, is responsible for the technology of the reptile, index and cluster by vertical search field, is dug using figure
The tissue thinking of pick technology, the various available service that user is used on network are captured, excavated and are collected, and are carrying out
After the preliminary analyses of system, it is configured to forest formula service organization tree graph, and is stored in service database, so that network service generates
Component uses；It is provided with: module, graphic operation interface are built in network service reptile module, network service cluster module, semantization service
Module and service database；
Network service generates component, be responsible for user's request made accordingly, timely service identify and service creation, and form one
Cover feasible service plan: its input excavates organization component respectively from natural language analysis component and network service: by nature
Linguistic analysiss component obtains the structurized word demand analyses knot judging including matching result and the meaning of a word, the part of speech of key word
Really, organization component is excavated by network service and obtain unified graphic operation interface and the service database that can inquire about；Again to extraction
User Format demand information carry out machine judge and semantization analysis, formed there is targetedly service-seeking demand, and
Execution associative operation, generates the network service of corresponding form；It is provided with: the input parsing module being linked in sequence, rule searching generate
Module, graphic operation module, information extraction modules and BPEL bpel (business process execution
Language) service template generation module；
Network service execution component, the applied environment designing for the open principle of application, responsible utilization includes bpel form and institute
There is the performing environment execution supporting bpel format adaptation to be adapted to generated network service, and execute this service overall plan；And
Occupation mode in conjunction with user and form, implementing result are fed back in time user；This component, also can mat used as the output of system
Complete corresponding operating by other components meeting output interface standard and return implementing result.
2. system according to claim 1 it is characterised in that: seven comprising modules in described natural language analysis component
Function is as follows:
Part-of-speech tagging module, is responsible for the information according to storage in part-of-speech tagging data base, utilizes language or word description to user
Demand in after each word marks its part of speech and connotation, pass to long sentence logic cutting module；
Part-of-speech tagging data base, for storing word, word and its multiple different part of speech and connotation, so that according to positioned at diverse location
Word, word, and combine context and the enterprise schema of natural sentence gives the word of diverse location, the currently different parts of speech of word and culvert
Justice；In extracting keywords, in part-of-speech tagging data base, also inquire about its corresponding connotation；The type of organization bag of described natural sentence
Include subject, predicate and object；
Long sentence logic cutting module, is responsible for carrying out machine judgement to the overall architecture completing the sentence after part-of-speech tagging, according to master
Meaning guest's structure extraction main clause and subordinate clause, and carry out long sentence logic cutting, cutting is multiple SVO structures, to determine each word
Part of speech and connotation, and by connotation information transmission to keyword abstraction module；
Keyword abstraction module, is responsible for the configuration file providing according to different field and user, chooses wherein different key words,
Generate machine recognizable information model；Because this system is particularly well-suited to the operational requirements in vertical field, that is, towards one or
The application of multiple specific areas, therefore the key word selected by this module is the emphasis word of this application, word, and there is this field
Clear and definite connotation；
Synonymicon mapping block, is responsible for the key word chosen according to keyword abstraction module, from information model abstraction module
The matched or related word of middle extraction, carries out subsequent treatment so that sentence part of speech semantic information builds module；
Sentence part of speech semantic information builds module, for receiving long sentence logic cutting, keyword abstraction and synonymicon mapping
The result of totally three modules, judges each word, the part of speech of word and connotation, and its position in sentence, calculates respectively
Its weight, to judge according to weight whether the word in user's natural language or the demand of word description is key word, for
Information model abstraction module extracts again and carries out equipment analysis；
Information model abstraction module, is responsible for receiving synonymicon mapping block and sentence part of speech semantic information builds module and chooses
Key word and result, using each key word and combine its word connotation and information model, generate machine recognizable
Formatting structure information model, then export to network service generation component, so that the result generating more is mated with demand, it is to avoid produce
The raw unwanted junk information of user.
3. system according to claim 1 it is characterised in that: described network service excavates the modules in organization component
Function is as follows:
Network service reptile module, for being captured to web services present in network using web crawlers and being collected, and will
The raw information of web services is stored in service database, for subsequent module for processing；
Network service cluster module, for extracting original service information, and to network service reptile module from service database
Each scattered web services of crawl carry out semantization information retrieval, then after carrying out clustering processing for semantic information, by semanteme
After close service is polymerized to a class, therefrom extract key word, constitute cluster data；Then cluster data is stored back to service database
In；
Module is built in semantization service, for according to the original service information in service database and cluster data, digging by figure
Web services are carried out structured organization by the tissue thought of pick, thus web services being arranged according to the structure of figure and being classified,
Form service organization's tree graph of forest formula, then this service organization's tree graph is stored in service database, so that network service generates
Component uses；
Graphic operation interface module, for for the specification ground unified interface that operates service database and provide, for network service life
Component is become to use service database；
Service database, for storing the file data in this system, comprising: is climbed using network by network service reptile module
Worm is directed to the service document of the web services feature crawl on the Internet, and network service cluster module is from network service reptile module
The service document of crawl extracts semantization information and carries out the cluster data of storage after clustering processing；And semantization service builds
Service organization's tree graph of the forest formula that module is set up according to semantization information and the figure thought of web services.
4. system according to claim 1 it is characterised in that: service organization's tree graph structure of described forest formula is with semanteme
Change characteristic as guiding, service database extracts the subtree formation of multiple different field and different range；This service group
Knit the service database that tree graph is stored in system, generate component for network service and use；Sequentially set in each service organization's tree graph
Have: trunk node, branch node and leaf node, wherein: leaf node is specific web services node, each leaf node
Represent unique web services, leaf node root is the branch node of the polymerization representing a service cluster, each web takes
It is provided with a undirected side between business node and its branch node of being belonged to, represent the branch that this service belongs to this polymerization concept
Dry contact；Each leaf node connects one or more branch nodes, and each branch node comprises one or more service nodes；
Branch node root is the trunk node connecting multiple branch nodes, as the root node of higher level abstract conception in this tree graph,
Each trunk node connects one or more branch nodes, also can be directly connected to leaf node, shows the web clothes that this leaf represents
Business directly belongs to this trunk node semantically；Different from prior art, this service organization's tree graph is the semantization with web services
Characteristic is as guiding, and introduces conceptual node, and coexists in service organization's tree graph with specific web services.
5. system according to claim 1 it is characterised in that: described network service generates the modules function in component
As follows:
Input parsing module is used for judging from the inclusion matching result of key word of natural language analysis component and the meaning of a word
Structurized word demand is analyzed processing, and carries out machine judgement to the formatting demand of user, then excavates from network service
After tissue part obtains the service information data storehouse information that can inquire about, send into rule searching generation module together；
Rule searching generation module, for carrying out semantization analysis according to service database to the information in User Format demand
Judge with machine, and on the basis of the demand that user whether there is certain aspect, deleting the user that wherein can not be adopted by machine needs
Ask, build have targetedly, closer to user's request each search request to carry out omnibearing to user's request
Extract and store；According to the branch node under trunk node, rule searching generation module judges which inquiry machine can process
Require, to extract corresponding information, and search request information is analyzed, obtains the weights of each search request, constitute each
Basic search request；This search request extracts from user's request, the user's request of suitable machine identification and operation
Description method, explicitly points out the weights needing the concept and corresponding concepts searched for during graph search；Basic search request
It is the inquiry operation that can directly apply to graphic operation module；
Graphic operation module, is responsible for according to the conventional requirement in vertical field, the formatting demand of analysis user, compare user's request and
The matching degree of field concept, judges whether user's request has clear and definite concept, to form accordingly clearly search request description
Afterwards, then from network service the service database excavating organization component is inquired about, and Query Result is organized: according to configuration
Search request information, from the beginning of the coupling of trunk node, successively travel through and screen each branch node and leaf node；And root
Organize tree graph according to weights search service, when same branch node has multiple similar functions and semantic web services, then compare
The user feedback scoring of different leaf node, i.e. concrete web services and qos score value, extract and configuration wherein score value is higher
Leaf node；
Information extraction modules, are responsible for the return information according to modules, find the inclusion of network service reptile module crawl
The service raw information that wsdl file and other forms mark file is parsed, according to semantization coupling extract wherein available and
The operation operation information list of the web services of coupling；
BPEL bpel service template generation module, is responsible for the operation obtaining according to information extraction modules
Type type of operation information list query use, the information of network address url, construct and are capable of automatic running in performing environment
Bpel flow process deployment file.
6. the method for work of the semantization web service generation system based on figure digging technology described in a kind of employing claim 1, its
It is characterised by: methods described includes following operative step:
(1) system by natural language collect component, i.e. terminal adopt all kinds of forms catcher receive from user using from
So application demand of voice or word input, and being collected after component processes to user input by natural language, be sent to from
So linguistic analysiss component；
(2) demand that natural language analysis component is collected to natural language after component process carries out machine recognition process, automatic shape
Become structurized web network application demand, and be transferred to network service and generate component；
(3) network service excavates thought and the technology that organization component utilizes search engine, after the service in crawl network, by web
Service data is stored in service database；Service cluster module is carried out to each scattered web services of crawl using clustering algorithm
Information cluster based on content is processed, and extracts key word as the foundation sorted out in each cluster block, then extracts key word,
Constitute cluster data and be stored in service database；Semantization service builds module according to the original service information in service database
And cluster data, the tissue thought excavated by figure, structured organization is carried out to web services, sets up the service organization of forest formula
Tree graph；Simultaneously according to system needs, after adding the service that other are self-defining, can be recognized by the system, by service organization's tree graph forever
It is stored in service database to property long；And generate the unified interface using graphic operation for the component offer to network service；
(4) network service generate component receive from natural language analysis component analysis result, and with network service excavation group
Texture part cooperative cooperating, carries out service search and tissue, forms a set of overall service execution scheme, that is, generate bpel form
Network service organizes result；
(5) web services that network service execution component receives from the bpel form of network service generation component carry into execution a plan, and
To run in the bpel execution container in service processing node for the bpel file distributing of this web services, and making according to user
With mode and form, final implementing result is fed back to user.
7. method according to claim 6 it is characterised in that: described step (2) includes following operation content: natural language
After analysis component receives the natural language collecting component from natural language or the application demand of word description, part-of-speech tagging module
By the existing information in part-of-speech tagging service database, part-of-speech tagging is carried out to each vocabulary in application demand；Long sentence is patrolled
The overall architecture collecting cutting module distich carries out machine judgement, according to the application of the domain requirement setting, builds SVO
Structure, and extract main clause and subordinate clause；Keyword abstraction module also extracts the key word in this field according to this setting application；
Synonymicon mapping block extracts and Keywords matching or related word, and calculates its weight；Information model abstraction module will
Connotation in conjunction with each word above-mentioned and information model, after generating formatting structure, export and generate component to network service.
8. method according to claim 6 it is characterised in that: described step (4) includes following operation content:
(41) input parsing module is analyzed to the formatting demand from natural language analysis component processing；
(42), on the basis of rule searching generation module whether there is the demand of certain aspect according to user, deleting wherein can not be by machine
Using user's request, build closer to user's request content each search request so that full side is carried out to user's request
The extraction of position and storage；According to the branch node under trunk node, rule searching generation module judges that machine can process user's
Which search request, to extract corresponding information, is analyzed to search request simultaneously, obtains the weights of each search request, structure
Become the search request that each is basic；
(43) graphic operation module, according to each basic search request of configuration, from the beginning of the coupling of trunk node, successively travels through
With each branch node of screening and leaf node；And tree graph is organized according to weights search service, can have in same branch node
When multiple similar functions and semantic web services, more different leaf nodes, i.e. the user feedback of concrete web services comment
Divide and qos score value, extract and the configuration wherein higher leaf node of score value；
(44) information extraction modules, according to return information, find including with the description of xml language of network service reptile module crawl
Web services and illustrating how communicate with web services wsdl file with interface message and other forms mark file service former
Beginning information is parsed, and extracts the operation operation information row of web services that are wherein available and mating according to semantization coupling
Table, type type using further according to operation inquiry, the information of network address url, constructing can automatic running in performing environment
Bpel flow process deployment file.
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Families Citing this family (21)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104598609B (en) * | 2015-01-29 | 2017-12-08 | 百度在线网络技术（北京）有限公司 | A kind of concept treating method and apparatus for vertical field |
| CN105354180B (en) * | 2015-08-26 | 2019-01-04 | 欧阳江 | A kind of method and system for realizing open Semantic interaction service |
| CN105447158A (en) * | 2015-12-02 | 2016-03-30 | 北京信息科技大学 | Graph based automatic mining method for synonym set in patent search log |
| CN105528423B (en) * | 2015-12-07 | 2018-08-17 | 中国科学院遥感与数字地球研究所 | Take the adaptive same bit pattern acquisition methods and device of space instances distance weighting into account |
| CN106919542B (en) * | 2015-12-24 | 2020-04-21 | 北京国双科技有限公司 | Rule matching method and device |
| CN107885747B (en) * | 2016-09-29 | 2022-06-28 | 西门子公司 | Semantic relation generation method and equipment |
| CN108280091B (en) * | 2017-01-06 | 2022-05-17 | 阿里巴巴集团控股有限公司 | Task request execution method and device |
| CN107680588B (en) * | 2017-05-10 | 2020-10-20 | 平安科技（深圳）有限公司 | Intelligent voice navigation method, device and storage medium |
| CN107256260A (en) * | 2017-06-13 | 2017-10-17 | 浪潮软件股份有限公司 | A kind of intelligent semantic recognition methods, searching method, apparatus and system |
| CN107766556B (en) * | 2017-11-03 | 2021-07-30 | 福建工程学院 | Interactive ontology matching method based on evolutionary algorithm and computer equipment |
| CN108984294B (en) * | 2018-05-25 | 2022-03-29 | 中国科学院计算机网络信息中心 | Resource scheduling method, device and storage medium |
| CN109213846A (en) * | 2018-09-13 | 2019-01-15 | 山西卫生健康职业学院 | A kind of natural language processing system |
| CN109495556B (en) * | 2018-10-31 | 2021-04-16 | 深圳高灯计算机科技有限公司 | File processing method and device |
| CN110287987B (en) * | 2019-05-16 | 2021-06-25 | 北京交通大学 | Method for discovering hierarchical organization structure of business system with hierarchical network structure |
| CN110222194B (en) * | 2019-05-21 | 2022-10-04 | 深圳壹账通智能科技有限公司 | Data chart generation method based on natural language processing and related device |
| CN110232177B (en) * | 2019-05-23 | 2023-05-02 | 广东鼎义互联科技股份有限公司 | Bidding document generation system and method in government field |
| CN110413267B (en) * | 2019-08-08 | 2023-05-26 | 四川爱创科技有限公司 | Self-adaptive business process modeling method based on business rules |
| CN110569396B (en) * | 2019-09-03 | 2022-05-06 | 上海赜睿信息科技有限公司 | Data searching method, electronic equipment and computer readable storage medium |
| CN111639189B (en) * | 2020-04-29 | 2023-03-21 | 西北工业大学 | Text graph construction method based on text content features |
| CN115529256A (en) * | 2021-06-24 | 2022-12-27 | 中兴通讯股份有限公司 | Obstacle avoidance method, system, electronic device and computer-readable storage medium |
| CN113379581B (en) * | 2021-08-16 | 2021-11-02 | 迅管(深圳)科技有限公司 | Special service pushing method and system based on user portrait |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101206648A (en) * | 2006-12-20 | 2008-06-25 | 鸿富锦精密工业（深圳）有限公司 | Network service generating system and method |
| CN101237333A (en) * | 2007-01-31 | 2008-08-06 | 北京邮电大学 | An universal service platform for supporting multiple services based on multi-network fusion |
| CN101375247A (en) * | 2006-01-24 | 2009-02-25 | 阿尔卡特朗讯 | Service creation method, computer program product and computer system for implementing said method |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20070005739A1 (en) * | 2005-06-30 | 2007-01-04 | International Business Machines Corporation | Method and apparatus for dynamically controlling the selection and redundancy of web service components |
-
2013
- 2013-11-14 CN CN201310566235.2A patent/CN103631882B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101375247A (en) * | 2006-01-24 | 2009-02-25 | 阿尔卡特朗讯 | Service creation method, computer program product and computer system for implementing said method |
| CN101206648A (en) * | 2006-12-20 | 2008-06-25 | 鸿富锦精密工业（深圳）有限公司 | Network service generating system and method |
| CN101237333A (en) * | 2007-01-31 | 2008-08-06 | 北京邮电大学 | An universal service platform for supporting multiple services based on multi-network fusion |
Non-Patent Citations (1)
| Title |
|---|
| 基于流程挖掘的流程建模方法研究;孔继利等;《中国管理信息化》;20081001(第21期);58-61 * |
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