In this paper, a four-valued epistemic logic for metadata modelling from medical articles on pain therapies has been proposed. The advantage of using a four-valued epistemic logic is that it allows us to reason with partial, incomplete or even incoherent information. This is especially the case in the information sciences, which have to deal with an extremely varied quantity and quality of data. The application of logic to metadata extraction provides a powerful and rigorous tool capable of assessing the quality of the extracted information; that is, establishing the correctness of the extracted information.

A Four-Valued Epistemic Logic for Metadata Modelling from Medical Articles on Pain Therapies

Cuconato S.
2023-01-01

Abstract

In this paper, a four-valued epistemic logic for metadata modelling from medical articles on pain therapies has been proposed. The advantage of using a four-valued epistemic logic is that it allows us to reason with partial, incomplete or even incoherent information. This is especially the case in the information sciences, which have to deal with an extremely varied quantity and quality of data. The application of logic to metadata extraction provides a powerful and rigorous tool capable of assessing the quality of the extracted information; that is, establishing the correctness of the extracted information.
2023
9789819937332
9789819937349
Epistemic logic
Many-valued logics
Metadata modelling
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.11770/390580
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