Towards a Method for Engineering Social Web Services

Maamar, Zakaria; Faci, Noura; Wives, Leandro Krug; Yahyaoui, Hamdi; Hacid, Hakim

doi:10.1007/978-3-642-19997-4_15

Cited by 23 publications

(14 citation statements)

References 16 publications

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“…Different approaches that study social networks of Web services are reported in the literature. In [14] Maamar et al introduce a method for engineering social Web services. This engineering requires identifying relationships between Web services, mapping these relationships onto social networks, building social networks of social Web services, and setting the social behaviors of social Web services.…”

Section: When Social Computing Meets Service Computingmentioning

confidence: 99%

Realizing a Social Ecosystem of Web Services

Maamar

Badr

Faci

et al. 2013

Advanced Web Services

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The success in Web services goes well beyond the building of loosely-coupled, interoperable software components. Nowadays, large-scale collaboration through social media (e.g., social networks) and new generation of serviceoriented software have spurred the growth of Web service ecosystems. This chapter discusses how a social ecosystem of Web services can be realized by defining first, the necessary actors that take part in this ecosystem formation and second, the interactions that occur between these actors during this ecosystem management. Such ecosystem permits to track who does what and where and when it is done. Compared to (regular) Web services, Web services in a social ecosystem take different actions that allow them, for instance to establish and maintain networks of contacts with other peers and to form with some peers strong and long lasting collaborative groups. The actors in the ecosystem are referred to as providers of Web services, providers of social networks of Web services, consumers of Web services, and providers of social networks of consumers. They all engage in different types of interactions like making Web services sign up in social networks of Web services, supporting users seek advices from existing members in a social network of consumers, and combining social networks of consumers and of Web services to achieve users' requests. Existing

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Section: When Social Computing Meets Service Computingmentioning

confidence: 99%

Realizing a Social Ecosystem of Web Services

Maamar

Badr

Faci

et al. 2013

Advanced Web Services

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“…For example, a selfish WS continuously receives positive responses from peers when it seeks their assistance for substitution, but it does continuously the opposite, i.e., declines others' assistance requests [5].…”

Section: Definition (Selfishness)mentioning

confidence: 99%

“…However, several constraints continue to limit WSs adoption by the IT community, for instance WSs only know about themselves, not about their users' social connections or peers, they cannot also delegate their invocations to others peers, limit user's intervention considerably, and operate as black boxes [5]. Social computing seems offering innovative solutions to some of these limitations, which improves the quality of recommendations.…”

Section: Introductionmentioning

confidence: 99%

“…Blending social computing with service-oriented computing leads to Social Web Services (SWSs) that exhibit certain Social Qualities of Service (SQoS) towards peers, thus allows them "knowing" with whom they have worked in the past and with whom they would potentially like to work in the future. Thereby, SWSs are expected to take the initiative in advising users how to develop and reuse value-added services [5].…”

Section: Introductionmentioning

confidence: 99%

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Towards Improving Recommender System: A Social Trust-Aware Approach

Abderrahim¹,

Benslimane²

2015

IJMECS

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Abstract-Recommender systems have shown great potential to help users find interesting and relevant Web service (WS) from within large registers. However, with the proliferation of WSs, recommendation becomes a very difficult task. Social computing seems offering innovative solutions to overcome those shortcomings. Social computing is at the crossroad of computer sciences and social sciences disciplines by looking into ways of improving application design and development using elements that people encounter daily such as social networks, trust, reputation, and recommendation. In this paper, we propose a social trust-aware system for recommending Web services (WSs) based on social qualities of WSs that they exhibit towards peers at runtime, and trustworthiness of the users who provide feedback on their overall experience using WSs. A set of experiments to assess the fairness and accuracy of the proposed system are reported in the paper, showing promising results and demonstrating that our service recommendation method significantly outperforms conventional similarity-based and trust-based service recommendation methods.

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“…In the category of social networks of Web services, we cite our research works in [4] and [7]. In the first work, we suggest a method to engineer "social Web services".…”

Section: Literature Reviewmentioning

confidence: 99%

Towards a User-Centric Social Approach to Web Services Composition, Execution, and Monitoring

Maamar

Faci

Sheng

et al. 2012

Web Information Systems Engineering - WISE 2012

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Abstract. This paper discusses the intertwine of social networks of users and social networks of Web services to compose, execute, and monitor Web services. Each network provides details that permit achieving this intertwine and thus, completing the three operations. A user social-network is used to advise users on the next Web services to select based on their peers' experiences, whereas a Web service social network is used to advise users on the substitutes to select in case a Web service fails, for example. To make the intertwine of these social networks happen, three components are developed: composer, executor, and monitor. The social composer develops composite Web services considering relations between users and the ones between Web services. The social executor assesses the impact of these relations on these composite Web services execution progress. Finally, the social monitor replaces failing Web services to guarantee the execution continuity of these composite Web services. A running example and a prototype illustrate and demonstrate the intertwine of these social networks, respectively.

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Towards a Method for Engineering Social Web Services

Cited by 23 publications

References 16 publications

Realizing a Social Ecosystem of Web Services

Realizing a Social Ecosystem of Web Services

Towards Improving Recommender System: A Social Trust-Aware Approach

Towards a User-Centric Social Approach to Web Services Composition, Execution, and Monitoring

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