Epistemic logic and CERMINE: a logical model for automatic extraction of structured metadata

Authors

DOI:

https://doi.org/10.23756/sp.v9i1.595

Keywords:

epistemic logic, applied non-classical logics, logical methods in data science and knowledge engineering, metadata formalization, CERMINE

Abstract

In this article we develop a logical model for automatic extraction of structured metadata. We introduce a new predicate ???? – reads ‘extract’ – and a structure ???? to syntactically and semantically define metadata extracted with any automatic metadata extraction system. These systems will be considered, in the logical model created, as knowledge extraction agents (henceforth KEA). In this case KEA taken into consideration is CERMINE, a comprehensive open-source system for extracting structured metadata from scientific articles in a born-digital form

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Author Biography

  • Simone Cuconato, University of Calabria

    Department of Informatics, Modeling, Electronics and Systems Engineering – DIMES

    PhD Student

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Published

2021-07-25

Issue

Vol. 9 No. 1 (2021)

Section

Volume 9 Issue 1 2021

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