Bioschemas: From Potato Salad to Protein Annotation

Alasdair J G Gray, Carole Goble, Rafael C. Jimenez

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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Abstract

The life sciences have a wealth of data resources with a wide range of overlapping content. Key repositories, such as UniProt for protein data or Entrez Gene for gene data, are well known and their content easily discovered through search engines. However, there is a long-tail of bespoke datasets with important content that are not so prominent in search results. Building on the success of Schema.org for making a wide range of structured web content more discoverable and interpretable, e.g. food recipes, the Bioschemas community aim to make life sciences datasets more findable by encouraging data providers to embed Schema.org markup in their resources.
Original languageEnglish
Title of host publicationISWC 2017 Posters & Demonstrations and Industry Tracks
Subtitle of host publicationProceedings of the ISWC 2017 Posters & Demonstrations and Industry Tracks co-located with 16th International Semantic Web Conference (ISWC 2017)
EditorsNadeschda Nikitina, Dezhao Song, Achille Fokoue, Peter Haase
Place of Publicationceur-ws.org
PublisherRWTH Aachen University
Editionurn:nbn:de:0074-1963-7
Publication statusPublished - 22 Oct 2017
EventThe 16th International Semantic Web Conference 2017 - Messe Wien, Vienna, Austria
Duration: 21 Oct 201825 Oct 2018
Conference number: 16
https://iswc2017.semanticweb.org/calls/call-for-research-track-papers/

Publication series

NameCEUR workshop proceedings
Publisherceur-ws.org
Volume1963
ISSN (Electronic)1613-0073

Conference

ConferenceThe 16th International Semantic Web Conference 2017
Abbreviated titleISWC 2017
Country/TerritoryAustria
CityVienna
Period21/10/1825/10/18
Internet address

Keywords

  • schema.org
  • metadata
  • dataset descriptions
  • data discovery

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