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ExtendedMatrix: v.1.0.0

Authors: Emanuel Demetrescu;

ExtendedMatrix: v.1.0.0

Abstract

Official repository of the Extended Matrix formal language The Extended Matrix (EM) is a scientific method and formal language for the Cultural Heritage domain. It is based on knowledge graph networks and grounded on FAIR and Open Science principles. EM formalises complex interpretative philological phenomena such as virtual reconstructive hypotheses in a transparent and robust manner; EM enables verifiability of results, reusability of data and collaborative interpretation. EM allows experts involved in reconstructive processes to: organize the complexity of reasonings behind; map the sources employed; support the compatibility of reconstructive pipelines with other ontologies; declare the reliability of your final proposals; present your final results both as a graph-of-knowledge and a series of 3D models; The original GitHub repository of the EM formal language can be found here Channel to join the community of users Telegram open-group For more details see the EM website References The main bibliographical reference (open access) of this first "core" version of the EM (1.0) is: *Demetrescu, Emanuel. 2015. «Archaeological Stratigraphy as a formal language for virtual reconstruction. Theory and practice». Journal of Archaeological Science 57: 42–55. https://doi.org/10.1016/j.jas.2015.02.004.* You can find here a selected list of publications where EM was employed in different national and international projects. Contribute to EM You are more than welcome to contribute to the project by spotting bugs/issues and providing code or solutions through pull requests to fix or improve EM features. Use the aforementioned original Git Hub repository for collaborative editing.

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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).
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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.
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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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