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Towards an ontology of trust for situational understanding

Carpanini, Owain and Cerutti, Federico 2017. Towards an ontology of trust for situational understanding. Presented at: 17th UK Workshop on Computational Intelligence (UKCI-2017), Cardiff, UK, 6-8 September 2017.

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Abstract

In this paper we propose a computational methodology for assessing the impact of trust associated to sources of information in situational understanding activities—i.e. relating relevant information and form logical conclusions, as well as identifying gaps in information in order to answer a given query. Often trust in the source of information serves as a proxy for evaluating the quality of the information itself, especially in the cases of information overhead. We show how our computational methodology support human analysts in situational understanding by drawing conclusions from defaults, as well as highlighting issues that demand further investigation.

Item Type: Conference or Workshop Item (Paper)
Date Type: Completion
Status: Unpublished
Schools: Computer Science & Informatics
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
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Date of First Compliant Deposit: 18 July 2017
Last Modified: 28 Oct 2018 21:57
URI: http://orca.cf.ac.uk/id/eprint/102497

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