Data Science and symbolic AI: Synergies, challenges and opportunities

about

Data Science and symbolic AI: Synergies, challenges and opportunities

Item

http://www.wikidata.org/entity/Q56920716

description

wetenschappelijk artikel

@nl

наукова стаття, опублікована в жовтні 2017

@uk

name

Data Science and symbolic AI: Synergies, challenges and opportunities

@en

Data Science and symbolic AI: Synergies, challenges and opportunities

@nl

type

Item

label

Data Science and symbolic AI: Synergies, challenges and opportunities

@en

Data Science and symbolic AI: Synergies, challenges and opportunities

@nl

prefLabel

Data Science and symbolic AI: Synergies, challenges and opportunities

@en

Data Science and symbolic AI: Synergies, challenges and opportunities

@nl

P1476

Data Science and symbolic AI: Synergies, challenges and opportunities

@en

P2093

Núria Queralt-Rosinach

http://www.w3.org/2001/XMLSchema#string

P2860

The OBO Foundry: coordinated evolution of ontologies to support biomedical data integration

Why most published research findings are false

Gene ontology: tool for the unification of biology

EcoCyc: a comprehensive database of Escherichia coli biology

Textpresso: an ontology-based information retrieval and extraction system for biological literature

Deep learning for computational biology.

Measuring inconsistency in meta-analyses

The FAIR Guiding Principles for scientific data management and stewardship

BioHackathon series in 2011 and 2012: penetration of ontology and linked data in life science domains

Deep learning

P304

1-12

http://www.w3.org/2001/XMLSchema#string

P31

scholarly article

P356

10.3233/DS-170004

http://www.w3.org/2001/XMLSchema#string

P50

Robert Hoehndorf

P577

2017-10-17T00:00:00Z

http://www.w3.org/2001/XMLSchema#dateTime