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dc.date.accessioned 2012-10-25T15:05:16Z
dc.date.available 2012-10-25T15:05:16Z
dc.date.issued 2005-10
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/22942
dc.description.abstract In recent years, web services have turned out to be an emerging feature that is transforming how the web is conceptualized. Rather than considering the Web as a huge collection of static pages, for many purposes the WWW can be better understood as a collection of entities that provide and use services. In this setting, graph-based representations for modelling trustworthiness in a provider-consumer framework for agents have proven to be an attractive approach. However, computing and mantaining the underlying graph may be a considerably complex task. This paper presents a first approach towards computing such service graphs automatically on the basis of so-called concept lattices. Our proposal is intended to enhance existing service-graph representations for modelling trust. en
dc.language en es
dc.subject local and social trust en
dc.subject concept lattice en
dc.subject referrals en
dc.title A first approach to the automatic generation of service graphs for building trust en
dc.type Objeto de conferencia es
sedici.creator.person Grandinetti, Walter M. es
sedici.creator.person Chesñevar, Carlos Iván es
sedici.description.note Eje: VI Workshop de Agentes y Sistemas Inteligentes (WASI) es
sedici.subject.materias Ciencias Informáticas es
sedici.description.fulltext true es
mods.originInfo.place Red de Universidades con Carreras en Informática (RedUNCI) es
sedici.subtype Objeto de conferencia es
sedici.rights.license Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)
sedici.rights.uri http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
sedici.date.exposure 2005-10
sedici.relation.event XI Congreso Argentino de Ciencias de la Computación es
sedici.description.peerReview peer-review es


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Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5) Excepto donde se diga explícitamente, este item se publica bajo la siguiente licencia Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)