Trust Networks on the Semantic Web

By Jennifer Golbeck, Bijan Parsia, J. Hendler. The Web Conference, 2003

554 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Networks and Communications, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/9c2c82c7c6175f0e6d62ac98d62d69d6e37bed6e

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

In Computer Networks and Communications

In Sociology and Political Science

Citations in the corpus

Named graphs, provenance and trust (2005, background): “Most trust architectures proposed for the Semantic Web fall into this category [1, 7, 24].”
Using Trust in Recommender Systems: An Experimental Analysis (2004, background): “Trust metrics [1] can be used to propagate trust over the social network.”
Trust Management for Semantic Web (2009, background): “General information on DRM can be found in Reference [8].”
Trust-Aware Collaborative Filtering for Recommender Systems (2004, background): “While there are some attempts to propose trust metrics [3,14,8], this research topic is very recent and there aren’t thorough analysis of which metrics perform better in different scenarios.”
Investigating interactions of trust and interest similarity (2007, background): “For deriving trust, numerous metrics have been proposed during the mid-nineties, among those [40,1,5,35], and more recently [17,18].”
Debiasing Knowledge Graphs: Why Female Presidents are not like Female Popes (2018, background): “Finally, the topic may also be approached from a Web Science [5] perspective as well as by considering the interplay of trust and provenance [6, 3].”
Controversial Users Demand Local Trust Metrics: An Experimental Study on Epinions.com Community (2005, methodology): “Trust Metrics (Golbeck, Hendler, & Parsia 2003; Levien 2003; Ziegler & Lausen 2004; Massa & Avesani 2004) are a technique used to predict trust scores of users.”
Quality assessment for Linked Data: A Survey (2015, methodology): “This table can be intuitively divided into the following three groups: (i) a set of approaches focusing only on trust [10,14,19–23, Overall, it is observed that the dimensions trust-worthiness, consistency, completeness, syntactic validity, semantic accuracy and availability are the most frequently…”
Spreading activation models for trust propagation (2004, methodology): “Playing an important role for the conception of Semantic Web trust infrastructure, latter structure has been dubbed “Web of Trust” [11].”