The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
The composition of distributed resources is a pervasive challenge facing almost all modern application fields, especially for large-scale scientific applications. In most of these applications, several resources need to be integrated in order to fulfill the requirements of a complex scientific task. However, even though current Web Services have emerged as a paradigm for managing complex distributed...
Considering service semantic association degree, service quality and service composition efficiency, we used bipartite graph optimal matching algorithm to calculate the degree of semantic association and gave QoS (Quality of Service) model. On this basis, we proposed a Web service automatic composition algorithm AL-CWS and proved its validity. The test simulation proved that AL-CWS can automatically...
This paper presents a new technique for semantic Web service composition inspired by the swarm behavior. The proposed technique combines a service composition graph model with a hybrid particle swarm optimization algorithm to identify the optimal composition solution. The following criteria are considered to select the optimal composition solution: the QoS attributes of the services and the semantic...
Based on an AI enhanced planning graph, this paper presents a new method for semantic Web service composition. The main enhancement focuses on the state layer of planning graph. First, we cluster the state parameters by their semantic in each state layer, then we use a backward indexing method to find the Web services composition chain according to services' QoS(quality of service). Using this method,...
This paper presents a new Web service composition method which combines the AI planning graph technique with an immune-inspired algorithm to find the optimal composition solution. Simultaneously with the planning graph construction, a matrix of semantic links is built to store the semantic links established between the services on different layers of the graph. The planning graph and the matrix of...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.