Trust and Privacy in Knowledge Graphs

Abstract

This paper presents the KG Usage framework, which allows the introduction of KG features to support Trust, Privacy and Transparency concerns regarding the use of its contents by applications. A real-world example is presented and used to illustrate how the framework can be used. CCS CONCEPTS• Information systems ® Social networks • Information systems ® Semantic web description languages • Security and privacy ® Social aspects of security and privacy

Trust Based Recommendation System Using Knowledge Graph (KGTRS)

“…Knowledge graph completion is used to handle the knowledge graph for the trust-based recommendation system. We further divided the trust-aware recommendation system into three groups depending upon the trust model which is introduced to capture information [22] as Co-factorization, Ensemble and Regularization methods. These techniques are described as follows:…”

Can you trust Wikidata?

“…According to WD, there are two claims for who his mother was; see Fig. We have argued elsewhere [22,23] that crowdsourced KGs, or KGs constructed by integrating several different information sources of varying quality, must be used via a Trust Layer. Given the goal of carrying out some action, this layer is where a decision is made about the veracity of each relevant claim in the underlying KG, necessary to carry out that action.…”

Context Augmented Knowledge Graphs for Decision-Making Scenarios

“…Trust can be defined as "knowledge-based reliance on received information" ( [5] apud [6]); that is, someone decides to trust (or not) the knowledge acquired to the point that this decision to trust implies the decision to carry out some action, based on the truth of information received or already known [6].…”

“…Crowdsourced KGs such as WD, or KGs constructed by integrating several different information sources of varying quality, must be used via a Trust Layer [6], [7]. Trust is usually evaluated using policies (by hard evidence) or reputation (by estimation).…”