Book ChapterDOI
Trust Networks on the Semantic Web
Jennifer Golbeck,Bijan Parsia,James A. Hendler +2 more
- pp 238-249
TLDR
The applicability of social network analysis to the semantic web, particularly discussing the multi-dimensional networks that evolve from ontological trust specifications, is described.Abstract:
The so-called “Web of Trust” is one of the ultimate goals of the Semantic Web. Research on the topic of trust in this domain has focused largely on digital signatures, certificates, and authentication. At the same time, there is a wealth of research into trust and social networks in the physical world. In this paper, we describe an approach for integrating the two to build a web of trust in a more social respect. This paper describes the applicability of social network analysis to the semantic web, particularly discussing the multi-dimensional networks that evolve from ontological trust specifications. As a demonstration of algorithms used to infer trust relationships, we present several tools that allow users to take advantage of trust metrics that use the network.read more
Citations
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Book ChapterDOI
Trust-Aware Collaborative Filtering for Recommender Systems
Paolo Massa,Paolo Avesani +1 more
TL;DR: An empirical evaluation on Epinions.com dataset shows that trust propagation can increase the coverage of Recommender Systems while preserving the quality of predictions.
Journal ArticleDOI
A survey of trust in social networks
TL;DR: This article presents the first comprehensive review of social and computer science literature on trust in social networks and discusses recent works addressing three aspects of social trust: trust information collection, trust evaluation, and trust dissemination.
Proceedings ArticleDOI
Named graphs, provenance and trust
TL;DR: The extension of RDF to Named Graphs provides a formally defined framework to be a foundation for the Semantic Web trust layer.
Journal ArticleDOI
Quality assessment for Linked Data: A Survey
TL;DR: A systematic review of approaches for assessing the quality of Linked Data, which unify and formalize commonly used terminologies across papers related to data quality and provides a comprehensive list of 18 quality dimensions and 69 metrics.
Proceedings ArticleDOI
The anatomy of a large-scale social search engine
TL;DR: How trust is based on intimacy and other considerations inform the architecture, algorithms, and user interface of Aardvark, and how they are reflected in the behavior of AARDvark users are described.
References
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Collective dynamics of small-world networks
TL;DR: Simple models of networks that can be tuned through this middle ground: regular networks ‘rewired’ to introduce increasing amounts of disorder are explored, finding that these systems can be highly clustered, like regular lattices, yet have small characteristic path lengths, like random graphs.
Journal ArticleDOI
The anatomy of a large-scale hypertextual Web search engine
Sergey Brin,Lawrence Page +1 more
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Journal Article
The Anatomy of a Large-Scale Hypertextual Web Search Engine.
Sergey Brin,Lawrence Page +1 more
TL;DR: Google as discussed by the authors is a prototype of a large-scale search engine which makes heavy use of the structure present in hypertext and is designed to crawl and index the Web efficiently and produce much more satisfying search results than existing systems.
Journal ArticleDOI
Authoritative sources in a hyperlinked environment
TL;DR: This work proposes and test an algorithmic formulation of the notion of authority, based on the relationship between a set of relevant authoritative pages and the set of “hub pages” that join them together in the link structure, and has connections to the eigenvectors of certain matrices associated with the link graph.