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Genetic networks: data model and visualisations

descriptionPublicationkeyboard_double_arrow_right Article , Conference object , Presentation , Other literature type 01 Jan 2023 Italy English Publisher:Zenodo
Authors: Spadini, Elena; Christen, Alessio; Pallacci, Valentina; Elli, Tommaso; Benedetti, Andrea; Maggetti, Daniel; Mauri, Michele; +1 Authors

doi: 10.5281/zenodo.8107688 , 10.5281/zenodo.8107689 , 10.5281/zenodo.8145190 , 10.5281/zenodo.8145191

handle: 11311/1246757

Genetic networks: data model and visualisations

Abstract

In this paper, we introduce the concept of genetic networks to study the relationships between manuscripts and publications in genetic editing. We present a data model and its formalisation in an OWL2 ontology, as well as the corresponding data visualisations in the form of sky maps. Our case study is the literary œuvre of the Swiss writer and photographer Gustave Roud (1897-1976). We conclude with some remarks about the project workflow and the integration of data and visual modelling.

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Keywords

Paper, and methods, Long Presentation, data visualisation, Ontology, analysis, Data Visualization, scholarly editing and editions development, Design studies, Genetic criticism, Literary studies, genetic criticism, scholarly editing, Philology, ontology, Interface design, and analysis, development, data modeling, linked (open) data

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
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).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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