Storage Retrieval

Download PDF by Sandeep Kumar: Agent-Based Semantic Web Service Composition

By Sandeep Kumar

Agent-based Semantic internet provider Composition heavily examines a number of the facets of SWS composition, and explores the idea that a Multi-Agent method can function an SWS composition process within which its brokers can have interaction with each other to fulfill a high-level aim. as well as surveying a number of proposed multi-agent-based SWS composition versions, the publication additionally highlights the cognitive parameter-based semantic net provider choice types that may be utilized in multi-agent-based SWS composition, and descriptions a brand new negotiation agreement-based SWS composition that could outperform current ideas. Agent-based Semantic net provider Composition is meant for researchers and practitioners as a reference consultant for optimizing SWS composition and imposing multi-agent platforms. teachers and different teachers operating in a similar box also will locate the e-book invaluable.

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Extra resources for Agent-Based Semantic Web Service Composition

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They have performed the negotiation in the multiple auctions simultaneously with the customer as well as with the service providers to dynamically generate the composite service. But, they have mainly presented the various negotiation aspects for performing negotiation in multiple auctions simultaneously. A very limited discussion has been found on the selection and composition of services and no formalization for service selection has been presented. The works by Kungas et al. (2004), and Kungas and Matskin (2005) have shown the use of symbolic negotiation for the discovery process in service composition.

Wn à GainðAn Þ W1 þ W2 þ . . þ Wn ð5:2Þ 44 5 A Multi-Agent Negotiation-Based Approach OR n P IoS ¼ Wi à GainðAi Þ i¼1 n P ð5:3Þ Wi i¼1 Now, the calculation for GainðAi Þ can be done as follows: Various attributes of a service can have user-tendency of either ‘lower the better’ or ‘higher the better’. For example, for the attribute such as price, lower the value of this attribute more favorable this will be to the requester, so it has usertendency ‘lower the better’, while for the attribute such as quality, higher the value of this attribute more favorable this will be to the requester, so it has user-tendency ‘higher the better’.

For each of the decomposed tasks, the same process is followed for the selection of corresponding SPA. After SPAs for all the tasks have been selected, interfacing and communication is established between them to aggregate them into a composite service. NASM has been presented in detail in the forthcoming section. 4 Negotiation-Agreement Based Selection Model Based upon the concepts described in the Chap. 3 on multi-attribute negotiation, two methods for selection of SPA are possible: (1) Using the values of utility-factors of various candidate SPAs.

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