Social Web Services Management

Social Web Services Management

Zakaria Maamar (Zayed University, UAE), Noura Faci (Claude Bernard Lyon 1 University, France), Ejub Kajan (State University of Novi Pazar, Serbia) and Emir Ugljanin (State University of Novi Pazar, Serbia)
DOI: 10.4018/978-1-4666-9466-8.ch010
OnDemand PDF Download:
$30.00
List Price: $37.50

Abstract

As part of our ongoing work on social-intensive Web services, also referred to as social Web services, different types of networks that connect them together are developed. These networks include collaboration, substitution, and competition, and permit the addressing of specific issues related to Web service use such as composition, discovery, and high-availability. “Social” is embraced because of the similarities of situations that Web services run into at run time with situations that people experience daily. Indeed, Web services compete, collaborate, and substitute. This is typical to what people do. This chapter sheds light on some criteria that support Web service selection of a certain network to sign up over another. These criteria are driven by the security means that each network deploys to ensure the safety and privacy of its members from potential attacks. When a Web service signs up in a network, it becomes exposed to both the authority of the network and the existing members in the network as well. These two can check and alter the Web service's credentials, which may jeopardize its reputation and correctness levels.
Chapter Preview
Top

Social Web Services

Social Web services are at the cross-road of two main disciplines: social computing (exemplified by Web 2.0) and service-oriented computing (exemplified by Web services). Existing research work either adopts Web services to assist in developing social networks of users or develops social networks of Web services to address certain issues such as Web services discovery. In this chapter the focus is on the latter type of social networks.

In the first category of social networks of users, we cite the following works. Maaradji et al. propose a social composer that advises users on the next actions they can take in response to events such as Web services selection (Maaradji et al., 2010). Xie et al. (2008) introduce a framework for semantic service composition based on social networks. Wu et al. rank Web services using non-functional properties and invocation requests at run-time (Wu et al., 2009). A Web service’s popularity as analyzed by users is the social element that is considered during the ranking. Last but not least, Nam Ko et al. discuss the social Web in which “social-networks connect services” help third-party in developing social applications without having to build social networks (Nam Ko et al., 2010).

Complete Chapter List

Search this Book:
Reset