2 Works

AI3SD Video: Automated Chemical Ontology Expansion

Janna Hastings
Ontologies provide a shared vocabulary and semantic resource for a domain. Manual construction enables them to achieve high quality and capture subtle semantic nuances, essential for wide acceptance and applicability across a community. However, the manual curation process does not scale for large domains. I will present a methodology for automatic ontology extension based on deep learning using ontology annotations, and show how we apply this methodology to the ChEBI ontology, a prominent reference ontology...

AI3SD Video: Skills4Scientists - Poster & Careers Symposium - Poster Compilation

AndrĂ¡s Vekassy, Aspen Fenzl, Erhan Gulsen, Hewan Zewdu, Jamie Longio, Maximilian Hoffman, Rhyan Barrett, Rubaiyat Khondaker, Anna Catton, Hongyang Dong, Kevin Calvache, Kaylee Patel, King Wong, Louis Greenhalgh, Rebecca Jane Clements, Thomas Allam, Sarah Scripps, Gavin Man, Samuel Munday, Michael Blakey, Graeme M. Day, Chris-Kriton Skylaris, Simon J. Coles, Stephen Gow & William Brocklesby
This video forms part of the Skills4Scientists Series which has been organised as a joint venture between the Artificial Intelligence for Scientific Discovery Network+ (AI3SD) and the Physical Sciences Data-Science Service (PSDS). This series ran over summer 2021 and aims to educate and improve scientists skills in a range of areas including research data management, python, version control, ethics, and career development. This series is primarily aimed at final year undergraduates / early stage PhD...

Registration Year

  • 2021
    2

Resource Types

  • Audiovisual
    2

Affiliations

  • University of Southampton
    2
  • University College London
    2
  • University of Strathclyde
    1
  • University of Cambridge
    1
  • University of Warwick
    1
  • University of Nottingham
    1
  • University of Edinburgh
    1
  • University of Leeds
    1
  • Queen Mary University of London
    1
  • University of Manchester
    1