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Evaluation of Entity Trustworthiness Based on Public and Private Data

  • Marc Sel,
  • Hasin Ishraq Reefat,
  • Naghmeh Karimi,
  • Konstantinos Mersinas

摘要

This paper presents an analysis of how reconciliation of public and private data can be used to evaluate the trustworthiness of an entity. The \(\mathcal{T}\mathcal{E}\) (Trustworthy Ecosystem) knowledge graph is used as a basis. We demonstrate how public and private data can be used to add instance data to a \(\mathcal{T}\mathcal{E}\) graph, and how a trustworthiness evaluation policy can be extended to make use of this data during evaluation. It is argued and demonstrated that reconciliation of independent information about an entity can be used in evaluating the entity’s trustworthiness.