[1]林关成. 基于语义 Web 服务的建模框架比较研究[J].计算机技术与发展,2016,26(01):163-166.
　LIN Guan-cheng. Comparative Research on Modeling Framework Based on Semantic Web Services[J].,2016,26(01):163-166.
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 基于语义 Web 服务的建模框架比较研究()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
26
期数:
2016年01期
页码:
163-166
栏目:
应用开发研究
出版日期:
2016-01-10

文章信息/Info

Title:
 Comparative Research on Modeling Framework Based on Semantic Web Services
文章编号:
1673-629X（2016)01-0163-04
作者:
 林关成
 渭南师范学院 传媒工程学院
Author(s):
 LIN Guan-cheng
关键词:
 ; 语义 Web 服务; 建模框架; 服务描述; 体系结构; 服务本体
Keywords:
 ; semantic Web Service; modeling framework; service description; architecture; service ontology
分类号:
TP311
文献标志码:
A
摘要:
 作为一种新兴的 Web 应用模式,Web 服务能够摆脱硬件系统平台、操作系统以及编程语言的束缚,为跨平台、跨行业的服务提供技术保障。为了改进传统的文本匹配思路和信息组织形式,提高 Web 服务的智能化水平,增强服务定位的精准性,在分析语义 Web 服务结构的基础上,从语义层面对 Web 服务的能力和属性进行描述,将语义 Web 技术和 Web 服务机制相结合,阐述了 OWL-S、IRS、WSMO 主流语义 Web 服务建模框架的特点,为服务用户提供本体描述方法。从行为、体系结构和服务本体的角度比较分析了三大主流语义 Web 服务建模框架的异同,同时,展望了语义 Web 服务建模框架的发展趋势,有助于语义 Web 服务的建模方法及其改进。
Abstract:
 As a new mode of Web application,Web Service can get rid of the restrictions,such as the hardware platform,operating system and programming language,and provide technical support for the service of cross-platform and cross-industry. In order to overcome the traditional text matching method and information organization form and improve the intelligent level of Web Service and enhance the ac-curacy of service matching,it describes the capabilities and attributes of Web Service from the semantic level,combined semantic Web technology and Web Service mechanism,the properties of mainstream semantic Web Service modeling framework is discussed,such as OWL-S,IRS,WSMO,which provides ontology description method for service users on the basis of analyzing the structure of semantic Web Service. Finally,it compares and analyzes the similarities and differences of mainstream semantic Web Service modeling framework from activity,architecture and service ontology. Meanwhile,it prospects the development trend of semantic Web Service modeling frame-work,which is helpful for the modeling of semantic Web Service and its improvement.

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更新日期/Last Update: 2016-04-13