Agent-Based Semantic Web Service Composition (SpringerBriefs in Electrical and Computer Engineering)

Agent-Based Semantic Web Service Composition (SpringerBriefs in Electrical and Computer Engineering)

Sandeep Kumar

Language: English

Pages: 100

ISBN: 1461446627

Format: PDF / Kindle (mobi) / ePub

Agent-based Semantic Web Service Composition closely examines the various aspects of SWS composition, and explores the concept that a Multi-Agent system can serve as an SWS composition system in which its agents can interact with one another to satisfy a high-level goal. In addition to surveying various proposed multi-agent-based SWS composition models, the book also highlights the cognitive parameter-based semantic web service selection models that can be used in multi-agent-based SWS composition, and outlines a new negotiation agreement-based SWS composition that can outperform existing techniques. Agent-based Semantic Web Service Composition is intended for researchers and practitioners as a reference guide for optimizing SWS composition and implementing multi-agent systems. Instructors and other academics working in a related field will also find the book invaluable.

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A SPA is shown below. 5.4.1 Calculation of Index of Selection After the successful negotiation of a SRA with a SPA, a set of values of various involved attributes is resulted at which both SRA and SPA agree. This set of values of various attributes can be called as agreement-set of SRA with respect to SPA. A SRA, before performing the negotiation, usually has some expectations about the values of various attributes of the service. This set of values of various attributes can be called as.

Support. NACM, in addition to checking the desire of agent before performing selection using CPBSM, can also perform the selection of SPAs for different decomposed tasks in parallel using NASM. So, after the selection process is over, the realization of composition process can be easily checked. Thus, all the four criteria described in the benchmark for evaluation of service composition approaches by Feenstra et al. (2007) are satisfied by the presented composition model. Further, the NACM has.

Intuition that the SRA is losing in the case of quality by value 20 i.e. gain of -20 and is gaining in case of cost and duration by values 20 and 28 respectively. The quality-gain, cost-gain, and duration-gain calculated using the formulation by Zhang et al. (2005) result into values 0.6, 0.4, and 0.509 respectively. On the other hand, by using Eq. (5.5) of our proposed model, NASM, for calculation of quality-gain and using Eq. (5.4) for calculation of cost-gain and duration-gain results into.

Highest IoS and hence it get selected as the provider for transportation-booking services. The same process, as depicted above and shown by Figs. 5.5 and 5.6, is performed for each of the simple services involved in education planning process i.e. counseling and preparation service, institute-tracking service, admission-consultancy service, financing service, transportation-booking service, and map and weather information service. Figure 5.7 shows the result of NACM in the form of blocks,.

The activities performed by the Semantic Web agent are (Antoniou and Harmelen 2004): • • • • • • Receiving some tasks and preferences from the service requester. Seeking information from the Web sources. Communicating with other agents. Comparing information about user requirements and preferences. Selecting certain choices. Giving answer to the service requester or user. Some of the technologies used by Semantic Web agent are (Antoniou and Harmelen 2004): • Ontologies are used to assist in Web.

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