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Annotation of phenotypes using ontologies: a Gold Standard for the training and evaluation of natural language processing systems

10.1101/322156Source: DataRank Database

Annotation of phenotypes using ontologies: a Gold Standard for the training and evaluation of natural language processing systems is a research paper. On theSindex it has a DataRank of 0.165. It has been cited 2 times.

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0.165DataRank · unranked

Scored on demand from live citation data

2 citations

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (3 grants)OA: greenTopics (36)IDs (PubMed, OpenAlex)SDGs (1)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

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Accessible (0/2)

Interoperable (0/2)

Reusable (0/3)

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DataRank Breakdown

Base Score 100%Citation Network 0%

Base Score Contribution

0.165

From this paper's citation signal

Citation Network Contribution

Citation network not refreshed for this result

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Authors (9)

Prashanti Manda ORCID,Hong Cui ORCID,James P. Balhoff ORCID,T. Alexander Dececchi ORCID,Nizar Ibrahim ORCID

Live enrichment

PubMed:19767382 OpenAlex:https://openalex.org/W2803170920

National Science Foundation

Grant: 1147266

BCSP: Collaborative Research: ABI Development: Exploring Taxon Concepts (ETC) through analyzing fine-grained semantic markup of descriptive literature

National Science Foundation

Grant: 1062542

Collaborative research: ABI Development: Ontology-enabled reasoning across phenotypes from evolution and model organisms

National Science Foundation

Grant: 0849982

Fine-Grained Semantic Markup of Descriptive Data for Knowledge Applications in Biodiversity Domains

greenLicense: cc-by

repositoryhttps://www.biorxiv.org/content/biorxiv/early/2018/05/15/322156.full.pdf

repositoryhttps://doi.org/10.1101/322156

repositoryhttps://researchportal.port.ac.uk/portal/en/publications/annotation-of-phenotypes-using-ontologies(7e516096-b831-4885-9c54-3a65c0814be9).html

repositoryhttps://escholarship.org/uc/item/5z06m7j7

https://doi.org/10.1093/database/bay110

Fields of Study

Biomedical Text Mining and OntologiesSemantic Web and OntologiesBioinformatics and Genomic Networks0301 basic medicine0303 health sciences03 medical and health sciences

Keywords

Computer scienceAnnotationConsistency (knowledge bases)Natural language processingOntologyInformation retrievalSemantic similarityArtificial intelligenceSemantics (computer science)Task (project management)Natural languageProgramming languageAgricultural and Biological Sciences(all)Biochemistry, Genetics and Molecular Biology(all)006410Data Format004/dk/atira/pure/subjectarea/asjc/1300Gene OntologyPhenotypeNetworking and Information Technology R&D (NITRD)Library and Information Studies/dk/atira/pure/subjectarea/asjc/1100/dk/atira/pure/subjectarea/asjc/1700/1710Data MiningHumansOriginal ArticleData CurationInformation Systems

Sustainable Development Goals

SDG 0: Quality Education

Annotation of phenotypes using ontologies: a Gold Standard for the training and evaluation of natural language processing systems

FAIR Checklist

DataRank Breakdown

Authors (9)

Funding (3 grants)

Open Access

Topics