A Graph-Based Approach for Semantic Process Model Discovery

A. Gater, Daniela Grigori, M. Bouzeghoub
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引用次数: 17

Abstract

One of the key tasks in the service oriented architecture that Semantic Web services aim to automate is the discovery of services that can fulfill the applications or user needs. OWL-S is one of the proposals for describing semantic metadata about Web services, which is based on the OWL ontology language. Majority of current approaches for matching OWL-S processes take into account only the inputs/outputs service profile. This chapter argues that, in many situations the service matchmaking should take into account also the process model. We present matching techniques that operate on OWL-S process models and allow retrieving in a given repository, the processes most similar to the query. To do so, the chapter proposes to reduce the problem of process matching to a graph matching problem and to adapt existing algorithms for this purpose. It proposes a similarity measure used to rank the discovered services. This measure captures differences in process structure and semantic differences between input/outputs used in the processes.
一种基于图的语义过程模型发现方法
语义Web服务旨在实现自动化的面向服务体系结构中的关键任务之一是发现能够满足应用程序或用户需求的服务。OWL- s是描述Web服务语义元数据的建议之一,它基于OWL本体语言。当前匹配OWL-S流程的大多数方法只考虑输入/输出服务配置文件。本章认为,在许多情况下,服务匹配也应该考虑到流程模型。我们介绍了在OWL-S流程模型上操作的匹配技术,并允许在给定的存储库中检索,这是与查询最相似的流程。为此,本章建议将过程匹配问题简化为图匹配问题,并为此目的调整现有算法。它提出了一种相似性度量,用于对发现的服务进行排序。此度量捕获流程结构的差异以及流程中使用的输入/输出之间的语义差异。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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