%0 Book Section %1 KuterGolbeck09ISWC %A Kuter, Ugur %A Golbeck, Jennifer %B The Semantic Web -- ISWC 2009: 8th International Semantic Web Conference, Chantilly, VA, USA %C Berlin %D 2009 %E Bernstein, Abraham %E Karger, David R. %E Heath, Tom %E Feigenbaum, Lee %E Maynard, Diana %E Motta, Enrico %E Thirunarayan, Krishnaprasad %I Springer %K 01624 springer paper ai semantic web service plan user adaptive zzz.sw zzz.ios %P 344--358 %R 10.1007/978-3-642-04930-9_22 %T Semantic Web Service Composition in Social Environments %V 5823 %X This paper describes how to generate compositions of semantic Web services using social trust information from user ratings of the services. We present a taxonomy of features, such as interoperability, availability, privacy, security, and others. We describe a way to compute social trust in OWL-S style semantic Web services. Our formalism exploits the users' ratings of the services and execution characteristics of those services. We describe our service-composition algorithm, called Trusty, that is based on this formalism. We discuss the formal properties of Trusty and our implementation of the algorithm. We present our experiments in which we compared Trusty with SHOP2, a well-known AI planning algorithm that has been successfully used for OWL-S style service composition. Our results demonstrate that Trusty generates more trustworthy compositions than SHOP2.

@incollection{KuterGolbeck09ISWC, abstract = {This paper describes how to generate compositions of semantic Web services using social trust information from user ratings of the services. We present a taxonomy of features, such as interoperability, availability, privacy, security, and others. We describe a way to compute social trust in OWL-S style semantic Web services. Our formalism exploits the users' ratings of the services and execution characteristics of those services. We describe our service-composition algorithm, called Trusty, that is based on this formalism. We discuss the formal properties of Trusty and our implementation of the algorithm. We present our experiments in which we compared Trusty with SHOP2, a well-known AI planning algorithm that has been successfully used for OWL-S style service composition. Our results demonstrate that Trusty generates more trustworthy compositions than SHOP2.}, added-at = {2017-03-26T15:07:49.000+0200}, address = {Berlin}, author = {Kuter, Ugur and Golbeck, Jennifer}, biburl = {https://www.bibsonomy.org/bibtex/2a1d35fb81dba927a383a201222cfa91d/flint63}, booktitle = {The Semantic Web -- ISWC 2009: 8th International Semantic Web Conference, Chantilly, VA, USA}, crossref = {ISWC2009}, doi = {10.1007/978-3-642-04930-9_22}, editor = {Bernstein, Abraham and Karger, David R. and Heath, Tom and Feigenbaum, Lee and Maynard, Diana and Motta, Enrico and Thirunarayan, Krishnaprasad}, file = {SpringerLink:2009/KuterGolbeck09ISWC.pdf:PDF}, groups = {public}, interhash = {90c7b34b0e86386cc932d90c1011eb83}, intrahash = {a1d35fb81dba927a383a201222cfa91d}, keywords = {01624 springer paper ai semantic web service plan user adaptive zzz.sw zzz.ios}, pages = {344--358}, publisher = {Springer}, series = {Lecture Notes in Computer Science}, timestamp = {2017-07-13T17:27:58.000+0200}, title = {Semantic Web Service Composition in Social Environments}, username = {flint63}, volume = 5823, year = 2009 }