Abstract : In this paper, we present a framework for automatic
selection and composition of services which exploits trustworthiness of
services as a metric for measuring the quality of service composition.
Trustworthiness is defined in terms of service reputation extracted from
user profiles. The profiles are, in particular, extracted and inferred
from a social network which accumulates users past experience with
corresponding services. Using our privacy inference model we, first,
prune social network to hide privacy sensitive contents and, then,
utilize a trust inference based algorithm to measure reputation score of
each individual service, and subsequently trustworthiness of their
composition.
Wojciech Cellary; Elsa Estevez. 10th IFIP WG 6.11 Conference on e-Business, e-Services, and e-Society (I3E), Nov 2010, Buenos Aires, Argentina. Springer, IFIP Advances in Information and Communication Technology, AICT-341, pp.226-236, 2010, Software Services for e-World. 〈10.1007/978-3-642-16283-1_26〉
https://hal.inria.fr/hal-01055012
Contributeur : Hal Ifip
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Soumis le : lundi 11 août 2014 - 11:01:17
Dernière modification le : vendredi 11 août 2017 - 14:59:36
Document(s) archivé(s) le : mercredi 26 novembre 2014 - 21:46:30
Shahab Mokarizadeh, Nima Dokoohaki, Mihhail Matskin, Peep Küngas. Trust and Privacy Enabled Service Composition
Using Social Experience. Wojciech Cellary; Elsa Estevez. 10th IFIP WG 6.11 Conference on e-Business, e-Services, and e-Society (I3E), Nov 2010, Buenos Aires, Argentina. Springer, IFIP Advances in Information and Communication Technology, AICT-341, pp.226-236, 2010, Software Services for e-World. 〈10.1007/978-3-642-16283-1_26〉. 〈hal-01055012〉
