在服务组合中采用上下文感知

Lian Yu, S. Su
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引用次数: 2

摘要

服务组合是面向服务的体系结构(Service- oriented Architecture, SOA)最重要的特性之一,在SOA中,必须自动适应环境中不断变化的上下文。本文在服务组合中采用上下文感知来构建基于SOA的系统/应用程序,其中上下文是行为集成的、以用户为中心的和可变化的。建立了上下文代理的总体框架,包括行为解释器、本体上下文存储库、推理引擎、上下文行为序列规划器和评估存储库。我们将上下文实体和服务的行为形式化,并在基于行为规划的服务组合中考虑它们。为了实现知识共享,建立了上下文环境本体模型来描述上下文语义。研究了上下文实体的可预测性和可控性,提出了相应的评价机制和规划算法。将动态描述逻辑应用于上下文行为序列决策中,扩展了动态描述逻辑的满足性检查算法,增强了上下文行为中前提条件的约束能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Adopting context awareness in service composition
Service composition is one of the most important features of Service-Oriented Architecture (SOA), where it is imperative to automatically adapting changing context in the environment. This paper adopts context-awareness to service composition to construct SOA based systems/applications where contexts are behavior-integrated, user-centered and changing-adaptable. An overall framework of a context agent is established, which consists of behavior interpreter, ontology context repository, inference engine, contexture behavior sequence planner and evaluation repository. We formalize behaviors of context entity and services, and take them into consideration in behavior-planning based service composition. An ontology model of context environment is built to describe context semantic in order to enable knowledge sharing. The predictability and controllability of context entities are addressed and corresponding evaluation mechanism and planning algorithm are proposed. Dynamic Description Logic is applied in contextual behavior sequence decision, and its satiability-checking algorithm is extended to enhance the constraining power of pre-conditions in a contextual behavior.
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