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Trust-Based Service Discovery in Multi-relation Social Networks

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Date
2012
Notes
LNCS, vol. 7636
Dewey
Programmation, logiciels, organisation des données
Sujet
Information Systems Applications; Information Storage and Retrieval; Management of Computing and Information Systems; Business Information Systems; Computer Communication Networks; Software Engineering
DOI
http://dx.doi.org/10.1007/978-3-642-34321-6_53
Conference name
10th International Conference on Service-Oriented Computing (ICSOC 2012)
Conference date
11-2012
Conference city
Shanghai
Conference country
China
Book title
Service-Oriented Computing.10th International Conference, ICSOC 2012, Shanghai, China, November 12-15, 2012. Proceedings
Author
Liu, Chengfei; Ludwig, Heiko; Toumani, Farouk; Yu, Qi
Publisher
Springer
Publisher city
Berlin Heidelberg
Year
2012
Pages number
789
ISBN
978-3-642-3432
Book URL
10.1007/978-3-642-34321-6
URI
https://basepub.dauphine.fr/handle/123456789/11075
Collections
  • LAMSADE : Publications
Metadata
Show full item record
Author
Louati, Amine
989 Laboratoire d'analyse et modélisation de systèmes pour l'aide à la décision [LAMSADE]
El Haddad, Joyce
989 Laboratoire d'analyse et modélisation de systèmes pour l'aide à la décision [LAMSADE]
Pinson, Suzanne
989 Laboratoire d'analyse et modélisation de systèmes pour l'aide à la décision [LAMSADE]
Type
Communication / Conférence
Item number of pages
664-671
Abstract (EN)
With the increasing number of services, the need to locate relevant services remains essential. To satisfy the query of a service requester, available service providers has first to be discovered. This task has been heavily investigated from both industrial and academic perspectives based essentially on registers. However, they completely ignore the contribution of the social dimension. When integrating social trust dimension to service discovery, this task will gain wider credibility and acceptance. If a service requester knows that discovered services are offered by trustworthy providers, he will be more confident. In this paper, we present a new discovery technique based on a social trust measure that ranks service providers belonging to the service requester’s multi-relation social network. The proposed measure is an aggregation of three measures: the social position, the social proximity and the social similarity. To compute these measures, we take into account both semantic and structural knowledge extracted from the multi-relation social network. Semantic information includes service requestor and provider profiles and their interactions. Structural information includes among other the position of service providers in the multi-relation social network graph.

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