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Semantics-based context-aware dynamic service composition

Semantics-based context-aware dynamic service composition This article presents a semantics-based context-aware dynamic service composition framework that composes an application through combining distributed components based on the semantics of components and contexts of users. The proposed framework consists of Component Service Model with Semantics (CoSMoS), Component Runtime Environment (CoRE), and Semantic Graph based Service Composition (SeGSeC). CoSMoS models the semantics of components and contexts of users. CoRE is a middleware to support CoSMoS on various distributed computing technologies. SeGSeC is a mechanism to compose an application by synthesizing its workflow based on the semantics of components and contexts of users. The proposed framework is capable of composing applications requested in a natural language by leveraging the semantic information of components. The proposed framework composes applications differently to individual users based on their contexts and preferences. The proposed framework acquires user preferences from user-specified rules and also via learning. The proposed framework also adapts to dynamic environments by autonomously composing a new application upon detecting context change. This article describes the design and mechanism of the proposed framework, and also presents simulation experiments to evaluate the proposed framework. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png ACM Transactions on Autonomous and Adaptive Systems (TAAS) Association for Computing Machinery

Semantics-based context-aware dynamic service composition

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References (45)

Publisher
Association for Computing Machinery
Copyright
Copyright © 2009 by ACM Inc.
ISSN
1556-4665
DOI
10.1145/1516533.1516536
Publisher site
See Article on Publisher Site

Abstract

This article presents a semantics-based context-aware dynamic service composition framework that composes an application through combining distributed components based on the semantics of components and contexts of users. The proposed framework consists of Component Service Model with Semantics (CoSMoS), Component Runtime Environment (CoRE), and Semantic Graph based Service Composition (SeGSeC). CoSMoS models the semantics of components and contexts of users. CoRE is a middleware to support CoSMoS on various distributed computing technologies. SeGSeC is a mechanism to compose an application by synthesizing its workflow based on the semantics of components and contexts of users. The proposed framework is capable of composing applications requested in a natural language by leveraging the semantic information of components. The proposed framework composes applications differently to individual users based on their contexts and preferences. The proposed framework acquires user preferences from user-specified rules and also via learning. The proposed framework also adapts to dynamic environments by autonomously composing a new application upon detecting context change. This article describes the design and mechanism of the proposed framework, and also presents simulation experiments to evaluate the proposed framework.

Journal

ACM Transactions on Autonomous and Adaptive Systems (TAAS) – Association for Computing Machinery

Published: May 1, 2009

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