CARSA: A context-aware reasoning-based service agent model for AI planning of web service composition

被引：21

作者：

Niu, Wenjia ^{[1
]}

Li, Gang ^{[2
]}

Tang, Hui ^{[1
]}

Zhou, Xu ^{[1
]}

Shi, Zhongzhi ^{[3
]}

机构：

[1] Chinese Acad Sci, Inst Acoust, Beijing 100190, Peoples R China

[2] Deakin Univ, Sch Informat Technol, Geelong, Vic 3125, Australia

[3] Chinese Acad Sci, Inst Comp Technol, Key Lab Intelligent Informat Proc, Beijing 100190, Peoples R China

来源：

JOURNAL OF NETWORK AND COMPUTER APPLICATIONS | 2011年 / 34卷 / 05期

基金：

中国国家自然科学基金;

关键词：

Semantic Web services; Service composition; Context management; Dynamic description logic; Reasoning optimization; SEMANTIC WEB; SYSTEM;

D O I：

10.1016/j.jnca.2011.06.008

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

In order to achieve automatic and more intelligent service composition, dynamic description logic (DDL) is proposed and utilized as one emerging logic-level solution. However, reasoning optimization and utilization in such DDL-related solutions is still an open problem. In this paper, we propose the context-aware reasoning-based service agent model (CARSA) which exploits the relationships among different service consumers and providers, together with the corresponding optimization approach to strengthen the effectiveness of Web service composition. Through the model, two reasoning optimization methods are proposed based on the substitute relationship and the dependency relationship, respectively, so irrelevant actions can be filtered out of the reasoning space before the DDL reasoning process is carried out. The case study and experimental analysis demonstrates the capability of the proposed approach. Crown Copyright (C) 2011 Published by Elsevier Ltd. All rights reserved.

引用

页码：1757 / 1770

页数：14

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