ARTICLE
TITLE

A logical-metantological approach to the problem of (meta)data veracity in systems for automatic extraction of metadata from scientific-legal articles

SUMMARY

In an increasingly data-driven world, the question of data – or metadata – veracity is now a central issue not only in the world of information but also in the legal one. Data veracity describes a closeness to truth on a higher level than a measure such as accuracy does. High veracity data is data that can be relied upon when making decisions, thus reducing the risk of basing choices on untrue information. The article uses epistemic logic to model structured metadata automatically extracted from legal papers, and the tools of metaontology to propose a definition of veracity as truthmaker

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