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ZENODO
Dataset . 2020
License: CC BY
Data sources: ZENODO
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ZENODO
Dataset . 2020
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2020
License: CC BY
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ZENODO
Dataset . 2020
License: CC BY
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SiriusGeoOnto: an ontology tailored to the semantic annotation of geological images

Research datakeyboard_double_arrow_right Dataset 01 Jul 2020 English Publisher:Zenodo
Authors: Irina Pene; Ernesto Jimenez-Ruiz;

doi: 10.5281/zenodo.3925544 , 10.5281/zenodo.3600955 , 10.5281/zenodo.3925477

SiriusGeoOnto: an ontology tailored to the semantic annotation of geological images

Abstract

We have designed and implemented the SiriusGeoOnto ontology to cover the information embedded in the geological images. SiriusGeoOnto has been modelled in the OWL 2 ontology language using the ontology editor Protégé. SiriusGeoOnto is currently integrated with the SiriusGeoAnnotator. SiriusGeoAnnotator is a system that generates annotations in the form of a knowledge graph and drives the annotation process according to SiriusGeoOnto and the previously generated annotations. SiriusGeoAnnotator: https://sws.ifi.uio.no/project/sirius-geo-annotator/

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Keywords

knowledge graph, geological images, semantic annotation

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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).
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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).
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.
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