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ZENODO
Dataset . 2021
License: CC BY NC SA
Data sources: Datacite
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ZENODO
Dataset . 2021
License: CC BY NC SA
Data sources: Datacite
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UIMA ConceptMapper Dictionaries for the Annotation of the 2021 BioASQ Corpus with Drug Names and Terms from Epilepsy Ontologies

Authors: Müller, Bernd;

UIMA ConceptMapper Dictionaries for the Annotation of the 2021 BioASQ Corpus with Drug Names and Terms from Epilepsy Ontologies

Abstract

The dictionary files for the annotation of free text with terms from epilepsy ontologies by the UIMA ConceptMapper are taken from NCBO BioPortal, namely from the ontologies EpSO, ESSO, EPILONT, EPISEM and FENICS: https://bioportal.bioontology.org/ontologies/EPSO https://bioportal.bioontology.org/ontologies/ESSO https://bioportal.bioontology.org/ontologies/EPILONT https://bioportal.bioontology.org/ontologies/EPISEM https://bioportal.bioontology.org/ontologies/FENICS The dictionary for the identification of drug names is derived from the DrugBank vocabulary available online at https://go.drugbank.com/releases/latest#open-data. Further descriptions of making use of the UIMA-based text mining workflow can be found in the following publications: Bernd Müller, Alexandra Hagelstein: Beyond Metadata: Enriching life science publications in Livivo with semantic entities from the linked data cloud. SEMANTiCS (Posters, Demos, SuCCESS) 2016 Bernd Müller, Alexandra Hagelstein, Thomas Gübitz: Life Science Ontologies in Literature Retrieval: A Comparison of Linked Data Sets for Use in Semantic Search on a Heterogeneous Corpus. EKAW (Satellite Events) 2016: 158-161 Bernd Müller, Christoph Poley, Jana Pössel, Alexandra Hagelstein, Thomas Gübitz: LIVIVO - the Vertical Search Engine for Life Sciences. Datenbank-Spektrum 17(1): 29-34 (2017) Bernd Müller, Dietrich Rebholz-Schuhmann: Selected Approaches Ranking Contextual Term for the BioASQ Multi-label Classification (Task6a and 7a). PKDD/ECML Workshops (2) 2019: 569-580 The dictionary files are in particular: Dict_DrugNames.xml - constructed from the DrugBank vocabulary Dict_EpSO.xml - constructed from the EpSO ontology Dict_ESSO.xml - constructed from the ESSO ontology Dict_EPILONT.xml - constructed from the EPILONT ontology Dict_EPISEM.xml - constructed from the EPISEM ontology Dict_FENICS.xml - constructed from the FENICS ontology The dictionaries were used with the UIMA ConceptMapper for the annotation of the 2021 BioASQ corpus resulting in the BioASQ Sub-Corpus for the Pharmacology of Epilepsy (BioPepsy). Please cite this data as: Müller, Bernd. UIMA ConceptMapper Dictionaries for the Annotation of the 2021 BioASQ Corpus with Drug Names and Terms from Epilepsy Ontologies. ZENODO, 10.5281/zenodo.4683353

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Keywords

ConceptMapper, BioASQ, Epilepsy, Ontology, Drug Names, UIMA

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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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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
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