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Analyzing poetry databases to develop a metadata application profile. Why each language uses a different way of modelling?

descriptionPublicationkeyboard_double_arrow_right Conference object , Part of book or chapter of book 01 Jan 2017Publisher:ZenodoFunded by:EC | POSTDATA
Authors: Garrido, Patricia;

doi: 10.5281/zenodo.832273 , 10.5281/zenodo.573767 , 10.5281/zenodo.832272

Analyzing poetry databases to develop a metadata application profile. Why each language uses a different way of modelling?

Abstract

This lightning talk is a description of a work-in-progress which explains my collaboration in the POSTDATA project where I am working as a student in practices, contributing to the Project with my knowledge in philology, and learning how to use DH tools and methodologies to analyze traditional philological problems.

Keywords

metadata profile, poetry, erc project, postdata, digital humanities, postdata, digital poetry, poetry databases, modelling

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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