认知逻辑和CERMINE:用于结构化元数据自动提取的逻辑模型

Science Philosophy Pub Date : 2021-07-25 DOI:10.23756/SP.V9I1.595

Simone Cuconato

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引用次数: 0

摘要

在本文中，我们开发了一个用于自动提取结构化元数据的逻辑模型。我们引入一个新的谓词????-读作' extract ' -和一个结构????从语法和语义上定义从任何自动元数据提取系统提取的元数据。在创建的逻辑模型中，这些系统将被视为知识提取代理(以下简称KEA)。在这种情况下，KEA考虑的是CERMINE，这是一个全面的开源系统，用于从自然数字形式的科学文章中提取结构化元数据

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

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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来源期刊

Science Philosophy

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审稿时长

7 weeks