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.
%0 Book Section
%1 mokarizadeh2010trust
%A Mokarizadeh, Shahab
%A Dokoohaki, Nima
%A Matskin, Mihhail
%A Küngas, Peep
%B Software Services for e-World
%D 2010
%E Cellary, Wojciech
%E Estevez, Elsa
%I Springer Boston
%K composition enabled privacy service trust
%P 226-236
%R 10.1007/978-3-642-16283-1_26
%T Trust and Privacy Enabled Service Composition Using Social Experience
%U http://dx.doi.org/10.1007/978-3-642-16283-1_26
%V 341
%X 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.
%@ 978-3-642-16282-4
@incollection{mokarizadeh2010trust,
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.},
added-at = {2012-10-10T11:34:34.000+0200},
affiliation = {ICT School, Royal Institute Of Technology (KTH), Stockholm, Sweden},
author = {Mokarizadeh, Shahab and Dokoohaki, Nima and Matskin, Mihhail and Küngas, Peep},
biburl = {https://www.bibsonomy.org/bibtex/20309ef4967701e153f3042273244e08f/nimdoc},
booktitle = {Software Services for e-World},
doi = {10.1007/978-3-642-16283-1_26},
editor = {Cellary, Wojciech and Estevez, Elsa},
interhash = {e283e539a15f0865e3954110dbe8ffbe},
intrahash = {0309ef4967701e153f3042273244e08f},
isbn = {978-3-642-16282-4},
keyword = {Computer Science},
keywords = {composition enabled privacy service trust},
pages = {226-236},
publisher = {Springer Boston},
series = {IFIP Advances in Information and Communication Technology},
timestamp = {2012-10-10T11:34:34.000+0200},
title = {Trust and Privacy Enabled Service Composition Using Social Experience},
url = {http://dx.doi.org/10.1007/978-3-642-16283-1_26},
volume = 341,
year = 2010
}