Spreading activation models for trust propagation

Semantic Web endeavors have mainly focused on issues pertaining to knowledge representation and ontology design. However, besides understanding information metadata stated by subjects, knowing about their credibility becomes equally crucial. Hence, trust and trust metrics, conceived as computational...

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Bibliographic Details
Published in2004 IEEE International Conference on e-Technology, e-Commerce, and e-Services (EEE 04) pp. 83 - 97
Main Authors Ziegler, C.-N., Lausen, G.
Format Conference Proceeding
LanguageEnglish
Published IEEE 2004
Subjects
Computational modeling
History
Humans
Joining processes
Knowledge representation
Ontologies
Proposals
Psychology
Scalability
Semantic Web
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Summary:Semantic Web endeavors have mainly focused on issues pertaining to knowledge representation and ontology design. However, besides understanding information metadata stated by subjects, knowing about their credibility becomes equally crucial. Hence, trust and trust metrics, conceived as computational means to evaluate trust relationships between individuals, come into play. Our major contributions to semantic Web trust management are twofold. First, we introduce our classification scheme for trust metrics along various axes and discuss advantages and drawbacks of existing approaches for semantic Web scenarios. Hereby, we devise our advocacy for local group trust metrics, guiding us to the second part which presents Appleseed, our novel proposal for local group trust computation. Compelling in its simplicity, Appleseed borrows many ideas from spreading activation models in psychology and relates their concepts to trust evaluation in an intuitive fashion.
ISBN:9780769520735
0769520731
DOI:10.1109/EEE.2004.1287293