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Integrating Association Rules Mined from Health-Care Data with Ontological Information for Automated Knowledge Generation Read chapter Read first chapter

2018 | Supplement | Chapter

Towards an Ontology of Trust for Situational Understanding

Authors : Owain Carpanini, Federico Cerutti

Published in: Advances in Computational Intelligence Systems

Publisher: Springer International Publishing

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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.

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Metadata
Title
Towards an Ontology of Trust for Situational Understanding
Authors
Owain Carpanini
Federico Cerutti
Copyright Year
2018
Book
Advances in Computational Intelligence Systems

Print ISBN: 978-3-319-66938-0

Electronic ISBN: 978-3-319-66939-7

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-3-319-66939-7_25

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