110 results about "Web service composition" patented technology

The invention discloses a web service combination method based on depth reinforcement learning for overcoming the problems of long time consumption, poor flexibility and non-ideal combination effect of the traditional service combination method in large-scale service scenes. The depth reinforcement learning technology and the heuristic thought are applied to the service combination problem. In addition, by considering the partial observability of the real environment, the service combination process is converted into a partially-observable Markov decision process POMDP, the solution problem of the POMDP is solved by using a recurrent neural network, and the method still expresses high efficiency encountering the challenge of curse of dimensionality. By adoption of the method provided by the invention, the solution speed can be effectively improved, the dynamic service combination environment is automatically adapted on the basis of ensuring the quality of the service combination scheme, and the adaptability and the flexibility of the service combination efficiency is effectively improved in a large-scale dynamic service combination scene.

Business processes are constructed and/or modified utilizing system knowledge including a folksonomy that stores information regarding a group of services usable by composition applications that collects system monitored services usage information and user inputs. In one aspect, candidate services are recommended and/or automatically updated/replaced, which can implement aspects of a business process from the group of services based upon information derived from the system knowledge. In another aspect, a composition design component interacts with a user to build and/or modify services based upon identified aspect of business processes to be implemented by services, wherein the component design component recommends candidate services that can implement the aspects of the business processes from the group of services based upon information derived from the system knowledge.

The invention discloses a service quality customized Web service combination method which comprises the steps of: receiving a user demand and analyzing the user demand into a function demand and a service quality demand; constructing a Web service combination network according to the function demand; obtaining a Web service combination set matched with the function demand; selecting a Web service combination from the obtained Web service combination set, calculating service quality of sub targets of all Web services included in the Web service combination set; according to the service quality demand, figuring out a shortest key path of the Web service combination, then obtaining the service quality of the sub targets in the Web service combination on the basis of the shortest key path; obtaining one group in closest to service quality; and combining the Web services in the obtained Web service combination set to be used as a result matched with the user demand to be fed back to a user. The method provided by the invention can ensure that the Web service combination meets the individualized service quality demand.

The invention discloses an optimization method for a QoS (Quality of Servie)-based trusted Web service composition. The method comprises the following steps: firstly, evaluating the credibility of the services by analyzing a historical behavior of the services, so as to remove bad services that do not meet the requirement, and obtain the QoS-based trusted Web service as an alternative service for the global optimization of the subsequent service composition; and then using an improved multi-objective Cuckoo search algorithm to realize the multi-objective optimization of the Web service composition, so as to improve the optimization efficiency of the service composition, and finally obtain a composite service that meets the user need and ensures the credibility of the service.

The invention discloses a method for providing Web service based on a user preference. The method comprises the following steps: establishing a Web service composition template library which at least comprises a Web service composition template profile as well as a list and a process for abstract service, which are all described by an ontology concept in an ontology library; ensuring the preference degree of a user to the ontology concept; and searching a Web service composition template which is matched with a Web service request according to the Web service request of the user, if the Web service request is matched with the Web service composition template, the Web service composition template is provided to the user, otherwise, new service composition is constructed, and the constructed new service composition is provided to the user. The invention collects and analyzes preference information of the user in a quantized way and recommends the most suitable Web service to the user according to the obtained preference information of the user, therefore, the needs of the user are satisfied with the rapidest speed.

The invention discloses a method for Web service clustering which comprises a Web service library, a main control device and a tag library. The method comprises the following the steps: step 1, using a vector space model (VSM) method to convert Web services into vector sets; step 2, according to an application demand, determining the weight of the Web services; and step 3, using a locality sensitive Hashing (LSH) method to cluster the vector sets. Compared with the prior art, the method provided by the invention has the beneficial effects that: 1, the compatibility with the exiting protocols and technologies is maintained aiming at the clustering for web services description language (WSDL) files; 2. compared with the Kmeans method and the like, the efficiency of the method provided by the invention is very high; and the higher the vector space dimension of the Web service is, the more obvious the high efficiency of the method provided by the invention is; and 3, the Web service clustering result can be used for finding out the Web services and combining the Web services, thus having stronger universality and causing the method provided by the invention to have strong backward compatibility.

The invention discloses a Web service combination method based on a dependency relationship. A Web service dependency relationship model which is not limited by a specific Web service description model and language and is only used for describing data dependency information of Web services is provided; the model supports statement of a dependency relationship between a semantics mark of a service interface and the interface; a Web service combination method based on dynamic programming is provided on the basis of the dependency relationship model; and in the method, Web service combination is converted into an issue on dynamic programming by using the dependency relationship of the Web services in a service matching process, and an optimal service combination method is found out. According to the method, problems related to the dependency relationship among the Web services are solved, the service combination efficiency is increased effectively, the requirement of user service combination is better met, and automatic execution of Web applications is realized.

The invention provides a recommendation method and a device for Web service combinations. The method includes obtaining a Web service combination requirement of a user, wherein the Web service combination requirement comprises at least two Web service function requirements; determining candidate service combinations corresponding to each Web service function; performing association rules analysis on historically called service combinations, determining candidate Web service with a frequency index larger than that of a preset standard in the candidate service combinations, and generating a frequency service combination including the candidate Web service with the frequency index larger than that of the preset standard; performing service combination relation analysis on the Web service combinations to obtain at least two combination relations between the Web service combination requirements; and determining recommendation Web service corresponding to each Web service function requirement to form recommendation Web service combinations according to the frequency indexes of each candidate Web service in the frequency service combination and global quality of service (QoS) attribute which uses the candidate Web service on the basis of the combination relations.

The invention provides a Web service combined system. A service combined bus is established in the system; each combined part establishes communications through service combination; each combined part comprises a service demander, a service provider, a combined agent and a combination evaluator; and the service combination bus establishes a two-dimensional theme event matrix and delivers theme events related to the service combination among each combined part on the basis of the two-dimensional theme event matrix through a subscribe/publish mechanism and a request/reply mechanism. The invention further provides a service combined method which ensures that four phases of service combination are completely realized, so that an overall support from user demand to final combination result is realized. The invention is particularly suitable for supporting competitive bidding of a multiple combination agency; each combined party can know problems well in time in the combination; and the mix strategy can be adjusted in time, so as to help to improve the combination quality greatly and obtain a combined service with a highest performance-to-price ratio.

The invention discloses a service combination method combining a Gaussian process with reinforcement learning. The method comprises the following steps: 1, modeling a service combination problem as a tetrad Markov decision process; 2, solving the tetrad Markov decision process by using a reinforcement learning method based on Q-learning to obtain an optimal strategy, wherein a Q value Gaussian prediction model is established to update a Q value; and 3, mapping the optimal strategy into working flow of web service combination. According to the method, the learning of the Q value is modeled by using the Gaussian process, so that the accuracy and universality are better.

The invention provides a web service combination evolution method based on Petri network. By utilizing the web service combination evolution method, evolution operation can be executed on Web service combination according to evolution requirement on the basis of atom Web service global dependent Petri network model and Web service combination control structure Petri network model, positive evolution reasoning and reverse evolution reasoning are executed from each evolution point, and a final Web service combination evolution result is generated. By utilizing the web service combination evolution method, the software development efficiency can be improved, and changeful requirements of users can be quickly responded.

The invention discloses a method for selecting web services guided by a user certainty degree in a Cloud environment. The method includes the following steps: (1) modeling according to requirements of a user, (2) carrying out discretization processing on a reference weight WA of the user, (3) filtering an available candidate web service set for the first time by means of non-numeric quality constraint, (4) processing data in the step (3) by means of a hierarchical iteration pairwise combination method, (5) processing a combination weight of each set in the step (2) to obtain a web service Comp Service List recommended for the user, (6) choosing a web service combination scheme by the user in the web service Comp Service List, and choosing the corresponding web service according to the web service combination scheme.

An apparatus and method for providing a development environment of a heterogeneous web service composite application are provided. The apparatus searches and combines multiple heterogeneous web services to make composite application, generates an executable code of the composite application, and generates and renders the executable code on any web browser to execute the composite application.

The invention discloses a service combining and replacing method based on a service cluster. The service cluster is constructed with an existing service clustering method, and a formal description method of services and the service cluster is put forward based on a Petri network; and the input and output parameters of the services are represented in an abstract way, and the input and output parameters of the services are described through a parameter matrix. Through adoption of a service matching method in the invention, universality and individuality can be fully realized among the services in the service cluster, and the service discovery and combining efficiencies are increased by narrowing of a service discovery range. A Web service combining and replacing method is provided through improvements on a service cluster model. Parallel combination and serial combination of the services in the service cluster are described respectively, and rapid service combination is realized in the service cluster, so that efficient service combination and replacement are realized. Through adoption of the service replacing method in the invention, single service replacement in the service cluster can be realized, and service combination and replacement in the service cluster can be realized.

The invention discloses a web service combination method based on searching space reduction. The web service combination method based on the searching space reduction comprises steps as below: pretreatment; generating a dependency graph of the web service; adding a virtualized web service; removing the web service which has no contribution for outputting required by a user; building a virtualized tree; traversing the virtualized tree to find a path. The web service combination method based on the searching space reduction is capable of obtaining a good web service combination group in quality of service (QoS) in large-scaled web service combination groups, and has a good usage value in the large-scaled web service combination group problem.

A method for model, based verification of security policies for web service composition. The method includes corresponding to a verification generated by an information Row analysis. The method further includes obtaining an abstracted security qualifier. The method proceeds by presenting the abstracted security qualifier to an application model. The abstracted, security qualifier being presented to the application model as a security requirement. Subsequently, the method proceeds by farther including removing the data security requirement on data utilized in the service from the compliance rule. The method proceeds by processing flow in the application model, such processing being based upon the data security requirement. The method further includes verifying the consistency in response to the processing flow.

The present invention discloses a Web service recommending method based on association rules. Although association rules are introduced into an existing Web service recommending method and execution efficiency and service quality of a Web service composition are improved, only recommendation of strongly associated services can be generated and a part of services that are uncommon but have high association capabilities are ignored due to a low usage rate. According to the present invention, the association rule mining is improved, i.e. the support degree for the association rules is modified. The improved association rule recommending method guarantees association strength between all atomic services in the service composition not to be reduced due to the increase of the length of the service composition and is improved in stability and accuracy compared with a conventional recommending method. According to the Web service recommending method based on the association rules, which is disclosed by the present invention, historical data of the service composition is analyzed and an implicit internal relationship between individual Web services is mined, so that a potential demand of a user can be found and a system selects the optimal service composition to recommend to the user. The Web service recommending method based on the association rules, which is provided by the present invention, provides a convenient and efficient service recommending method to users and has a wide application prospect.

The invention discloses a Web service combination method based on dependence graph reducing and quality of service (QoS) holding. The Web service combination method based on dependence graph reducing and QoS holding comprises the following steps: preprocessing; generating a Web service dependence graph by adding Web services layer by layer from input given by a user to output obtaining by the user until obtaining all output needed by the user; adding virtual Web service by traversing the Web service dependence graph layer by layer from an input layer to an output layer; removing the Web services having no contribution to output; calculating QoS value by traversing the Web service dependence graph from the input layer to the output layer, calculating the QoS value of each Web service, and each Web service saving Web service assembling which can provide the highest QoS value in a previous layer; reducing redundant Web services; choosing the Web services by traversing the Web service dependence graph from the input layer to the output layer and choosing Web service combination which can obtain the highest QoS value.