计算机应用 ›› 2017, Vol. 37 ›› Issue (2): 468-472.DOI: 10.11772/j.issn.1001-9081.2017.02.0468

• 先进计算 • 上一篇    下一篇

基于社交网络和关联数据的服务网络构建方法

李志明, 唐永中   

  1. 河西学院 信息技术中心, 甘肃 张掖 734000
  • 收稿日期:2016-06-21 修回日期:2016-08-05 出版日期:2017-02-10 发布日期:2017-02-11
  • 通讯作者: 李志明,lzm@hxu.edu.cn
  • 作者简介:李志明(1980-),男,甘肃张掖人,讲师,硕士,主要研究方向:服务计算、复杂网络分析、数据挖掘;唐永中(1964-),男,甘肃武威人,教授,主要研究方向:计算机网络、社会计算。
  • 基金资助:
    河西学院青年教师科研基金资助项目(QN2014-25)。

Constructing method of service network based on social network and linked data

LI Zhiming, TANG Yongzhong   

  1. Center for Information Technology, Hexi University, Zhangye Gansu 734000, China
  • Received:2016-06-21 Revised:2016-08-05 Online:2017-02-10 Published:2017-02-11
  • Supported by:
    This work is partially supported by the Young Teacher Foundation of Hexi University (QN2014-25).

摘要: 网络中可用服务的急剧增加对面向服务计算技术的发展起到了极大的推动作用。针对服务的规模和利用率远没有达到预期,以及服务之间交互关系的复杂性问题,提出基于社交网络和关联数据的服务网络构建方法。首先,结合社交网络和关联数据方法提出服务网络(SN)的概念,以提高服务的规模及利用率;其次,为了提升服务发现的可行性及有效性,构建服务网络中的服务社区;然后,形式化地表述服务网络中服务之间的关联关系和属性,以解决服务之间互操作问题;最后,结合旅游服务网络案例研究分析所提出的方法。研究结果表明,基于社交网络和关联数据的方法可有效解决网络服务利用率低以及服务关系复杂性的问题。

关键词: 服务关系, 社会网络, 关联数据, 图理论, 服务计算

Abstract: An increasing large number of services are available in the network, which plays a great role in promoting the development of service-oriented computing technology. Concerning the problems that services scale and utilization were far from initially expected, and the interactions of making the services work together were complicated, a method for constructing service network based on social network and linked data was proposed. First of all, in order to improve service scale and utilization, the concept of Service Network (SN) combining social network and linked data was proposed. Secondly, the service community in the service network was established for elevating the feasibility and effectiveness of service discovery. Then, in order to solve the problem of service interoperation, the service relationship and property were formally expressed in service network. Finally, a case study of tourism service was used to analyze the proposed method. The analysis results show that the efficiency and feasibility of the proposed method are validated to solve the problems of low service utilization and complex service relationship.

Key words: service relationship, social network, linked data, graph theory, service computing

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