Trust Based Knowledge Outsourcing for Semantic Web Agents

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dc.contributor.authorDing, Li
dc.contributor.authorZhou, Lina
dc.contributor.authorFinin, Tim
dc.date.accessioned2018-12-18T19:43:21Z
dc.date.available2018-12-18T19:43:21Z
dc.date.issued2003-10-12
dc.descriptionProceedings of the 2003 IEEE/WIC International Conference on Web Intelligenceen_US
dc.description.abstractThe semantic Web enables intelligent agents to "outsource" knowledge, extending and enhancing their limited knowledge bases. An open question is how agents can efficiently and effectively access the vast knowledge on the inherently open and dynamic semantic Web. The problem is not that of finding a source for desired information, but deciding which among many possibly inconsistent sources is most reliable. We propose an approach to agent knowledge outsourcing inspired by the use trust in human society. Trust is a type of social knowledge and encodes evaluations about which agents can be taken as reliable sources of information or services. We focus on two important practical issues: learning trust and justifying trust. An agent can learn trust relationships by reasoning about its direct interactions with other agents and about public or private reputation information, i.e., the aggregate trust evaluations of other agents. We use the term trust justification to describe the process in which an agent integrates the beliefs of other agents, trust information, and its own beliefs to update its trust model. We describe the results of simulation experiments of the use and evolution of trust in multiagent systems. Our experiments demonstrate that the use of explicit trust knowledge can significantly improve knowledge outsourcing performance. We also describe a collaborative trust justification technique that focuses on reducing search complexity, handling inconsistent knowledge, and avoiding error propagation.en_US
dc.description.sponsorshipThis research was supported in part of DARPA contract F30602-97-1-0215en_US
dc.description.urihttps://ieeexplore.ieee.org/document/1241219en_US
dc.format.extent9 pagesen_US
dc.genreconference papers and proceedings preprintsen_US
dc.identifierdoi:10.13016/M2F766B7Q
dc.identifier.citationLi Ding, Lina Zhou, and Tim Finin, Trust Based Knowledge Outsourcing for Semantic Web Agents, Proceedings of the 2003 IEEE/WIC International Conference on Web Intelligence, DOI: 10.1109/WI.2003.1241219en_US
dc.identifier.uri10.1109/WI.2003.1241219
dc.identifier.urihttp://hdl.handle.net/11603/12308
dc.language.isoen_USen_US
dc.publisherIEEEen_US
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Computer Science and Electrical Engineering Department Collection
dc.relation.ispartofUMBC Faculty Collection
dc.rightsThis item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author.
dc.rights© 2003 IEEE
dc.subjectmulti-agent systemsen_US
dc.subjectdata privacyen_US
dc.subjectsecurity of dataen_US
dc.subjectsemantic weben_US
dc.subjectknowledge acquisitionen_US
dc.subjectmultiagent systemsen_US
dc.subjectsearch complexityen_US
dc.subjectknowledge acquisitionen_US
dc.subjectUMBC Ebiquity Research Groupen_US
dc.titleTrust Based Knowledge Outsourcing for Semantic Web Agentsen_US
dc.typeTexten_US

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