Agent Technologies and Web Engineering: Applications and by Ghazi Alkhatib

By Ghazi Alkhatib

Lately, the rising box of agent applied sciences has turn into mainstream in net engineering. With consistent box advancements and updates, a reference resource is required that displays the elevated scope of agent know-how software domain names and improvement practices and instruments. Agent applied sciences and net Engineering: purposes and platforms provides the newest instruments and purposes addressing serious concerns concerned with details know-how and internet engineering examine. masking subject matters corresponding to next-generation networks, XML question processing, and Semantic net prone, this e-book offers state-of-the-art study for practitioners and academicians keen on agent know-how and internet engineering fields.

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Three of them are Consumer Agent (CA), Provider Agent (PA), and Network Agent (NA), which represent their principals in the transaction in B2B and B2C e-markets and whose role is already specified above. The fourth one is the Matching Agent (MA), which does not participate in interactions on e-markets, but is “hidden” in the network operators’ infrastructure. A brief description of all the agents follows. The Network Agent (NA) The NA is a representative of one network operator for PAs and CAs.

Finally, we intend to assess the performance of the presented ranking metrics and ranking Employing Graph Network Analysis for Web Service Composition categories under different experimental settings within composition networks that follow different link distributions (the composition network of the experiments presented in this article follows a uniform link distribution) and different link density levels. , & Milnor, W. (2004). Constraint driven Web service composition in METEOR-S. In Proceedings of the 2004 IEEE International Conference on Services Computing (pp.

Org/TR/rdf-schema) is a vocabulary used to describe the properties and classes of RDF resources. It includes semantics for generalization-hierarchies of such properties and classes. org/TR/owl-features) provides a larger vocabulary for describing prop- erties and classes. , exactly one) and equality. , symmetry) and introduces enumerated classes. Therefore, OWL is a rich semantic language based on Description Logics (DL). DL is a formalism that can be used for knowledge representation and reasoning.

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